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Tat-Seng Chua

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2025
[j209]
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Yu Zhao, Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Grammar induction from visual, speech and text. Artif. Intell. 341: 104306 (2025)
[j208]
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Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Meng Wang, Tat-Seng Chua, Yao Zhao:
PSVMA+: Exploring Multi-Granularity Semantic-Visual Adaption for Generalized Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 47(1): 51-66 (2025)
[j207]
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Bobo Li, Hao Fei, Fei Li, Shengqiong Wu, Lizi Liao, Yinwei Wei, Tat-Seng Chua, Donghong Ji:
Revisiting Conversation Discourse for Dialogue Disentanglement. ACM Trans. Inf. Syst. 43(1): 15:1-15:34 (2025)
[j206]
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Xiaolin Chen, Xuemeng Song, Jianhui Zuo, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Domain-aware Multimodal Dialog Systems with Distribution-based User Characteristic Modeling. ACM Trans. Multim. Comput. Commun. Appl. 21(2): 66:1-66:22 (2025)
[i306]
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  - journals/corr/abs-2501-01336
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Yong Zhao, Yang Deng, See-Kiong Ng, Tat-Seng Chua:
Aligning Large Language Models for Faithful Integrity Against Opposing Argument. CoRR abs/2501.01336 (2025)
[i305]
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  - journals/corr/abs-2501-05714
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Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua, Jimmy Xiangji Huang:
How to Enable Effective Cooperation Between Humans and NLP Models: A Survey of Principles, Formalizations, and Beyond. CoRR abs/2501.05714 (2025)
[i304]
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  - journals/corr/abs-2501-07110
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Han Liu, Yinwei Wei, Fan Liu, Wenjie Wang, Liqiang Nie, Tat-Seng Chua:
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation. CoRR abs/2501.07110 (2025)
[i303]
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  - journals/corr/abs-2501-07596
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Zheqi Lv, Keming Ye, Zishu Wei, Qi Tian, Shengyu Zhang, Wenqiao Zhang, Wenjie Wang, Kun Kuang, Tat-Seng Chua, Fei Wu:
Optimize Incompatible Parameters through Compatibility-aware Knowledge Integration. CoRR abs/2501.07596 (2025)
[i302]
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  - journals/corr/abs-2501-11911
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He Chang, Jie Wu, Zhulin Tao, Yunshan Ma, Xianglin Huang, Tat-Seng Chua:
Integrate Temporal Graph Learning into LLM-based Temporal Knowledge Graph Model. CoRR abs/2501.11911 (2025)
[i301]
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  - journals/corr/abs-2501-15953
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Meng Chu, Yicong Li, Tat-Seng Chua:
Understanding Long Videos via LLM-Powered Entity Relation Graphs. CoRR abs/2501.15953 (2025)
[i300]
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  - journals/corr/abs-2502-04370
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Zhenglin Zhou, Xiaobo Xia, Fan Ma, Hehe Fan, Yi Yang, Tat-Seng Chua:
DreamDPO: Aligning Text-to-3D Generation with Human Preferences via Direct Preference Optimization. CoRR abs/2502.04370 (2025)
[i299]
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  - journals/corr/abs-2502-04751
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Ruiyang Ren, Yuhao Wang, Junyi Li, Jinhao Jiang, Wayne Xin Zhao, Wenjie Wang, Tat-Seng Chua:
Holistically Guided Monte Carlo Tree Search for Intricate Information Seeking. CoRR abs/2502.04751 (2025)
[i298]
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  - journals/corr/abs-2502-05628
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Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Guojun Ma, Mingyang Wan, Xiang Wang, Xiangnan He, Tat-Seng Chua:
AnyEdit: Edit Any Knowledge Encoded in Language Models. CoRR abs/2502.05628 (2025)
[i297]
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  - journals/corr/abs-2502-06148
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Yan Weng, Fengbin Zhu, Tong Ye, Haoyan Liu, Fuli Feng, Tat-Seng Chua:
Optimizing Knowledge Integration in Retrieval-Augmented Generation with Self-Selection. CoRR abs/2502.06148 (2025)
[i296]
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  - journals/corr/abs-2502-07327
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Haowen Gao, Liang Pang, Shicheng Xu, Leigang Qu, Tat-Seng Chua, Huawei Shen, Xueqi Cheng:
Generative Ghost: Investigating Ranking Bias Hidden in AI-Generated Videos. CoRR abs/2502.07327 (2025)
[i295]
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  - journals/corr/abs-2502-07411
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Sheng Zhou, Junbin Xiao, Qingyun Li, Yicong Li, Xun Yang, Dan Guo, Meng Wang, Tat-Seng Chua, Angela Yao:
EgoTextVQA: Towards Egocentric Scene-Text Aware Video Question Answering. CoRR abs/2502.07411 (2025)
[i294]
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  - journals/corr/abs-2502-09319
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Chen Xu, Yuxin Li, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua:
Bridging Jensen Gap for Max-Min Group Fairness Optimization in Recommendation. CoRR abs/2502.09319 (2025)
[i293]
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  - journals/corr/abs-2502-09533
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Fei Shen, Cong Wang, Junyao Gao, Qin Guo, Jisheng Dang, Jinhui Tang, Tat-Seng Chua:
Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model. CoRR abs/2502.09533 (2025)
2024
[j205]
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  - journals/aiopen/YaoZZLCS24
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Yuan Yao, Ao Zhang, Zhengyan Zhang, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
CPT: Colorful Prompt Tuning for pre-trained vision-language models. AI Open 5: 30-38 (2024)
[j204]
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  - journals/csur/DingLMC24
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Yujuan Ding, Zhihui Lai, P. Y. Mok, Tat-Seng Chua:
Computational Technologies for Fashion Recommendation: A Survey. ACM Comput. Surv. 56(5): 121:1-121:45 (2024)
[j203]
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Ang Ma, Yanhua Yu, Chuan Shi, Zirui Guo, Tat-Seng Chua:
Cross-view hypergraph contrastive learning for attribute-aware recommendation. Inf. Process. Manag. 61(4): 103701 (2024)
[j202]
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Yongduo Sui, Xiang Wang, Tianlong Chen, Meng Wang, Xiangnan He, Tat-Seng Chua:
Inductive Lottery Ticket Learning for Graph Neural Networks. J. Comput. Sci. Technol. 39(6): 1223-1237 (2024)
[j201]
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Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua, Shuicheng Yan:
Enhancing Video-Language Representations With Structural Spatio-Temporal Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7701-7719 (2024)
[j200]
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Tingyu Wang, Zhedong Zheng, Yaoqi Sun, Chenggang Yan, Yi Yang, Tat-Seng Chua:
Multiple-environment Self-adaptive Network for aerial-view geo-localization. Pattern Recognit. 152: 110363 (2024)
[j199]
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  - journals/sigweb/ChuaNKLB24
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Tat-Seng Chua, Chong-Wah Ngo, Ravi Kumar, Hady W. Lauw, Dick C. A. Bulterman:
The ACM Web Conference 2024 Report. SIGWEB Newsl. 2024(Summer): 1-5 (2024)
[j198]
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Jingyun Xu, Jiayuan Xie, Yi Cai, Zehang Lin, Ho-fung Leung, Qing Li, Tat-Seng Chua:
Context-Aware Dynamic Word Embeddings for Aspect Term Extraction. IEEE Trans. Affect. Comput. 15(1): 144-156 (2024)
[j197]
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Jianwu Fang, Fan Wang, Jianru Xue, Tat-Seng Chua:
Behavioral Intention Prediction in Driving Scenes: A Survey. IEEE Trans. Intell. Transp. Syst. 25(8): 8334-8355 (2024)
[j196]
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Yongduo Sui, Wenyu Mao, Shuyao Wang, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua:
Enhancing Out-of-distribution Generalization on Graphs via Causal Attention Learning. ACM Trans. Knowl. Discov. Data 18(5): 127:1-127:24 (2024)
[j195]
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Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. IEEE Trans. Knowl. Data Eng. 36(2): 459-474 (2024)
[j194]
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Yinwei Wei, Xiaoyang Qu, Xiang Wang, Yunshan Ma, Liqiang Nie, Tat-Seng Chua:
Rule-Guided Counterfactual Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 36(5): 2179-2190 (2024)
[j193]
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Xun Deng, Fuli Feng, Xiang Wang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Learning to Double-Check Model Prediction From a Causal Perspective. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5054-5063 (2024)
[j192]
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Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua:
Causal Disentangled Recommendation against User Preference Shifts. ACM Trans. Inf. Syst. 42(1): 12:1-12:27 (2024)
[j191]
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Shengyu Zhang, Tan Jiang, Kun Kuang, Fuli Feng, Jin Yu, Jianxin Ma, Zhou Zhao, Jianke Zhu, Hongxia Yang, Tat-Seng Chua, Fei Wu:
SLED: Structure Learning based Denoising for Recommendation. ACM Trans. Inf. Syst. 42(2): 43:1-43:31 (2024)
[j190]
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Han Liu, Yinwei Wei, Fan Liu, Wenjie Wang, Liqiang Nie, Tat-Seng Chua:
Dynamic Multimodal Fusion via Meta-Learning Towards Micro-Video Recommendation. ACM Trans. Inf. Syst. 42(2): 47:1-47:26 (2024)
[j189]
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An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua:
Robust Collaborative Filtering to Popularity Distribution Shift. ACM Trans. Inf. Syst. 42(3): 80:1-80:25 (2024)
[j188]
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Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua:
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. ACM Trans. Inf. Syst. 42(4): 100:1-100:23 (2024)
[j187]
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Jun Li, Yi Bin, Yunshan Ma, Yang Yang, Zi Huang, Tat-Seng Chua:
Filter-based Stance Network for Rumor Verification. ACM Trans. Inf. Syst. 42(4): 108:1-108:28 (2024)
[j186]
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Yujia Zhou, Jing Yao, Zhicheng Dou, Yiteng Tu, Ledell Wu, Tat-Seng Chua, Ji-Rong Wen:
ROGER: Ranking-Oriented Generative Retrieval. ACM Trans. Inf. Syst. 42(6): 155:1-155:25 (2024)
[j185]
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Jingyun Xu, Junnan Yu, Yi Cai, Tat-Seng Chua:
Dual Contrastive Learning for Cross-Domain Named Entity Recognition. ACM Trans. Inf. Syst. 42(6): 163:1-163:33 (2024)
[c566]
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Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua:
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation. AAAI 2024: 8750-8758
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Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua:
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction. AAAI 2024: 14158-14166
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Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua:
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection. AAAI 2024: 15537-15545
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Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua:
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. ACL (1) 2024: 1588-1606
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Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. ACL (Findings) 2024: 5353-5377
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Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. ACL (1) 2024: 5949-5966
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Haohao Luo, Yang Deng, Ying Shen, See-Kiong Ng, Tat-Seng Chua:
Chain-of-Exemplar: Enhancing Distractor Generation for Multimodal Educational Question Generation. ACL (1) 2024: 7978-7993
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Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua:
On the Multi-turn Instruction Following for Conversational Web Agents. ACL (1) 2024: 8795-8812
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Yue Chen, Chen Huang, Yang Deng, Wenqiang Lei, Dingnan Jin, Jia Liu, Tat-Seng Chua:
STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents. ACL (Findings) 2024: 10633-10649
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Tong Zhang, Peixin Qin, Yang Deng, Chen Huang, Wenqiang Lei, Junhong Liu, Dingnan Jin, Hongru Liang, Tat-Seng Chua:
CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models. ACL (1) 2024: 10746-10766
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Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Distillation Enhanced Generative Retrieval. ACL (Findings) 2024: 11119-11129
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Yongqi Li, Wenjie Wang, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond. ACL (1) 2024: 11851-11861
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Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Learnable Item Tokenization for Generative Recommendation. CIKM 2024: 2400-2409
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Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua:
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs. LREC/COLING 2024: 5119-5131
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Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua:
Discriminative Probing and Tuning for Text-to-Image Generation. CVPR 2024: 7434-7444
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Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Tat-Seng Chua:
Dysen-VDM: Empowering Dynamics-Aware Text-to-Video Diffusion with LLMs. CVPR 2024: 7641-7653
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Junbin Xiao, Angela Yao, Yicong Li, Tat-Seng Chua:
Can I Trust Your Answer? Visually Grounded Video Question Answering. CVPR 2024: 13204-13214
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Yicong Li, Na Zhao, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua:
LASO: Language-Guided Affordance Segmentation on 3D Object. CVPR 2024: 14251-14260
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Jianwu Fang, Lei-lei Li, Junfei Zhou, Junbin Xiao, Hongkai Yu, Chen Lv, Jianru Xue, Tat-Seng Chua:
Abductive Ego-View Accident Video Understanding for Safe Driving Perception. CVPR 2024: 22030-22040
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Zixuan Yang, Xiao Wang, Yanhua Yu, Yuling Wang, Kangkang Lu, Zirui Guo, Xiting Qin, Yunshan Ma, Tat-Seng Chua:
Hop-based Heterogeneous Graph Transformer. ECAI 2024: 2346-2353
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An Zhang, Han Wang, Xiang Wang, Tat-Seng Chua:
Disentangling Masked Autoencoders for Unsupervised Domain Generalization. ECCV (70) 2024: 126-151
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Meng Chu, Zhedong Zheng, Wei Ji, Tingyu Wang, Tat-Seng Chua:
Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching. ECCV (11) 2024: 213-231
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Zonghao Guo, Ruyi Xu, Yuan Yao, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Gao Huang:
LLaVA-UHD: An LMM Perceiving Any Aspect Ratio and High-Resolution Images. ECCV (83) 2024: 390-406
[c543]
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Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu, Zujie Wen, Wenqiang Lei, Tat-Seng Chua:
Strength Lies in Differences! Improving Strategy Planning for Non-collaborative Dialogues via Diversified User Simulation. EMNLP 2024: 424-444
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Peixin Qin, Chen Huang, Yang Deng, Wenqiang Lei, Tat-Seng Chua:
Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations. EMNLP (Findings) 2024: 4264-4282
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Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua:
A Study of Implicit Ranking Unfairness in Large Language Models. EMNLP (Findings) 2024: 7957-7970
[c540]
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Xuan Zhang, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua:
Ask-before-Plan: Proactive Language Agents for Real-World Planning. EMNLP (Findings) 2024: 10836-10863
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Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua:
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection. EMNLP (Findings) 2024: 11858-11875
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Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua:
Don't Just Say "I don't know"! Self-aligning Large Language Models for Responding to Unknown Questions with Explanations. EMNLP 2024: 13652-13673
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Fengbin Zhu, Ziyang Liu, Fuli Feng, Chao Wang, Moxin Li, Tat-Seng Chua:
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Financial Tabular and Textual Data. ICAIF 2024: 310-318
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Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua:
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. ICLR 2024
[c535]
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Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Wei Ji, Wenqiao Zhang, Tat-Seng Chua, Siliang Tang, Hanwang Zhang, Yueting Zhuang:
Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions. ICLR 2024
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Yiyang Chen, Zhedong Zheng, Wei Ji, Leigang Qu, Tat-Seng Chua:
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization. ICLR 2024
[c533]
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Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian:
Towards 3D Molecule-Text Interpretation in Language Models. ICLR 2024
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Bosheng Qin, Juncheng Li, Siliang Tang, Tat-Seng Chua, Yueting Zhuang:
InstructVid2Vid: Controllable Video Editing with Natural Language Instructions. ICME 2024: 1-6
[c531]
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Kaihang Pan, Siliang Tang, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang:
Auto-Encoding Morph-Tokens for Multimodal LLM. ICML 2024
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Long Qian, Juncheng Li, Yu Wu, Yaobo Ye, Hao Fei, Tat-Seng Chua, Yueting Zhuang, Siliang Tang:
Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning. ICML 2024
[c529]
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Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua:
NExT-GPT: Any-to-Any Multimodal LLM. ICML 2024
[c528]
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Ao Zhang, Yuan Yao, Wei Ji, Zhiyuan Liu, Tat-Seng Chua:
NExT-Chat: An LMM for Chat, Detection and Segmentation. ICML 2024
[c527]
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Shasha Guo, Lizi Liao, Cuiping Li, Tat-Seng Chua:
A Survey on Neural Question Generation: Methods, Applications, and Prospects. IJCAI 2024: 8038-8047
[c526]
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Jingnan Zheng, Jiahao Liu, An Zhang, Jun Zeng, Ziqi Yang, Zhenkai Liang, Tat-Seng Chua:
MaskDroid: Robust Android Malware Detection with Masked Graph Representations. ASE 2024: 331-343
[c525]
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Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation. KDD 2024: 1816-1826
[c524]
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Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, Tat-Seng Chua:
LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation. KDD 2024: 2524-2535
[c523]
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Wenqi Fan, Yujuan Ding, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li:
A Survey on RAG Meeting LLMs: Towards Retrieval-Augmented Large Language Models. KDD 2024: 6491-6501
[c522]
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Yanhua Yu, Xiuxiu Cai, Ang Ma, Yimeng Ren, Shuai Zhen, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua:
Adversary and Attention Guided Knowledge Graph Reasoning Based on Reinforcement Learning. KSEM (5) 2024: 3-16
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Yanhua Yu, Yuanlong Wang, Yunshan Ma, Jie Li, Kangkang Lu, Zhiyong Huang, Tat-Seng Chua:
EE-LCE: An Event Extraction Framework Based on LLM-Generated CoT Explanation. KSEM (1) 2024: 28-40
[c520]
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Mingzhe Yu, Yunshan Ma, Lei Wu, Kai Cheng, Xue Li, Lei Meng, Tat-Seng Chua:
Smart Fitting Room: A One-stop Framework for Matching-aware Virtual Try-On. ICMR 2024: 184-192
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Changmeng Zheng, Dayong Liang, Wengyu Zhang, Xiaoyong Wei, Tat-Seng Chua, Qing Li:
A Picture Is Worth a Graph: A Blueprint Debate Paradigm for Multimodal Reasoning. ACM Multimedia 2024: 419-428
[c518]
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Minghe Gao, Shuang Chen, Liang Pang, Yuan Yao, Jisheng Dang, Wenqiao Zhang, Juncheng Li, Siliang Tang, Yueting Zhuang, Tat-Seng Chua:
Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales. ACM Multimedia 2024: 846-855
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Haoxuan Li, Zhengmao Yang, Yunshan Ma, Yi Bin, Yang Yang, Tat-Seng Chua:
MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models. ACM Multimedia 2024: 2776-2785
[c516]
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Jiawei Wang, Da Cao, Shaofei Lu, Zhanchang Ma, Junbin Xiao, Tat-Seng Chua:
Causal-driven Large Language Models with Faithful Reasoning for Knowledge Question Answering. ACM Multimedia 2024: 4331-4340
[c515]
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Yunshan Ma, Yingzhi He, Wenjun Zhong, Xiang Wang, Roger Zimmermann, Tat-Seng Chua:
CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling. ACM Multimedia 2024: 9641-9649
[c514]
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Hao Fei, Shengqiong Wu, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan:
Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing. NeurIPS 2024
[c513]
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Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua:
On Softmax Direct Preference Optimization for Recommendation. NeurIPS 2024
[c512]
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Junfeng Fang, Zac Bi, Ruipeng Wang, Houcheng Jiang, Yuan Gao, Kun Wang, An Zhang, Jie Shi, Xiang Wang, Tat-Seng Chua:
Towards Neuron Attributions in Multi-Modal Large Language Models. NeurIPS 2024
[c511]
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Jingnan Zheng, Han Wang, An Zhang, Tai D. Nguyen, Jun Sun, Tat-Seng Chua:
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation. NeurIPS 2024
[c510]
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Zirui Guo, Yanhua Yu, Yuling Wang, Kangkang Lu, Zixuan Yang, Liang Pang, Tat-Seng Chua:
Information-Controllable Graph Contrastive Learning for Recommendation. RecSys 2024: 528-537
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Haokun Wen, Xuemeng Song, Xiaolin Chen, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval. SIGIR 2024: 229-239
[c508]
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Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua:
Data-efficient Fine-tuning for LLM-based Recommendation. SIGIR 2024: 365-374
[c507]
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Yang Deng, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, Tat-Seng Chua:
Towards Human-centered Proactive Conversational Agents. SIGIR 2024: 807-818
[c506]
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Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng, Tat-Seng Chua:
Denoising Diffusion Recommender Model. SIGIR 2024: 1370-1379
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Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua:
A Taxation Perspective for Fair Re-ranking. SIGIR 2024: 1494-1503
[c504]
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An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang, Tat-Seng Chua:
On Generative Agents in Recommendation. SIGIR 2024: 1807-1817
[c503]
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Kaihang Pan, Juncheng Li, Wenjie Wang, Hao Fei, Hongye Song, Wei Ji, Jun Lin, Xiaozhong Liu, Tat-Seng Chua, Siliang Tang:
I3: Intent-Introspective Retrieval Conditioned on Instructions. SIGIR 2024: 1839-1849
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An Zhang, Yang Deng, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua:
Large Language Model Powered Agents for Information Retrieval. SIGIR 2024: 2989-2992
[c501]
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Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat-Seng Chua:
Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction. WSDM 2024: 510-519
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Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li:
FashionReGen: LLM-Empowered Fashion Report Generation. WWW (Companion Volume) 2024: 991-994
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Yang Deng, An Zhang, Yankai Lin, Xu Chen, Ji-Rong Wen, Tat-Seng Chua:
Large Language Model Powered Agents in the Web. WWW (Companion Volume) 2024: 1242-1245
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Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. WWW 2024: 1362-1373
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Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua:
Uplift Modeling for Target User Attacks on Recommender Systems. WWW 2024: 3343-3354
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Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua:
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. WWW 2024: 4304-4315
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Tat-Seng Chua, Chong-Wah Ngo, Ravi Kumar, Hady W. Lauw, Roy Ka-Wei Lee:
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024. ACM 2024 [contents]
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Tat-Seng Chua, Chong-Wah Ngo, Roy Ka-Wei Lee, Ravi Kumar, Hady W. Lauw:
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024. ACM 2024 [contents]
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Luzhi Wang, Dongxiao He, He Zhang, Yixin Liu, Wenjie Wang, Shirui Pan, Di Jin, Tat-Seng Chua:
GOODAT: Towards Test-time Graph Out-of-Distribution Detection. CoRR abs/2401.06176 (2024)
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Lidong Zeng, Zhedong Zheng, Yinwei Wei, Tat-Seng Chua:
Instilling Multi-round Thinking to Text-guided Image Generation. CoRR abs/2401.08472 (2024)
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Fengbin Zhu, Ziyang Liu, Fuli Feng, Chao Wang, Moxin Li, Tat-Seng Chua:
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data. CoRR abs/2401.13223 (2024)
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Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian:
Towards 3D Molecule-Text Interpretation in Language Models. CoRR abs/2401.13923 (2024)
[i288]
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Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua:
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction. CoRR abs/2401.15603 (2024)
[i287]
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Mingzhe Yu, Yunshan Ma, Lei Wu, Kai Cheng, Xue Li, Lei Meng, Tat-Seng Chua:
Smart Fitting Room: A Generative Approach to Matching-aware Virtual Try-On. CoRR abs/2401.16825 (2024)
[i286]
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Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua:
Data-efficient Fine-tuning for LLM-based Recommendation. CoRR abs/2401.17197 (2024)
[i285]
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Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua:
Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models. CoRR abs/2402.03659 (2024)
[i284]
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Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua:
LLM-based Federated Recommendation. CoRR abs/2402.09959 (2024)
[i283]
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Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Distillation Enhanced Generative Retrieval. CoRR abs/2402.10769 (2024)
[i282]
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Yongqi Li, Wenjie Wang, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua:
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond. CoRR abs/2402.10805 (2024)
[i281]
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Long Qian, Juncheng Li, Yu Wu, Yaobo Ye, Hao Fei, Tat-Seng Chua, Yueting Zhuang, Siliang Tang:
Momentor: Advancing Video Large Language Model with Fine-Grained Temporal Reasoning. CoRR abs/2402.11435 (2024)
[i280]
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Yang Deng, Xuan Zhang, Wenxuan Zhang, Yifei Yuan, See-Kiong Ng, Tat-Seng Chua:
On the Multi-turn Instruction Following for Conversational Web Agents. CoRR abs/2402.15057 (2024)
[i279]
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Yang Deng, Yong Zhao, Moxin Li, See-Kiong Ng, Tat-Seng Chua:
Gotcha! Don't trick me with unanswerable questions! Self-aligning Large Language Models for Responding to Unknown Questions. CoRR abs/2402.15062 (2024)
[i278]
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Zirui Guo, Lianghao Xia, Yanhua Yu, Yuling Wang, Zixuan Yang, Wei Wei, Liang Pang, Tat-Seng Chua, Chao Huang:
GraphEdit: Large Language Models for Graph Structure Learning. CoRR abs/2402.15183 (2024)
[i277]
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Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua:
Prospect Personalized Recommendation on Large Language Model-based Agent Platform. CoRR abs/2402.18240 (2024)
[i276]
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Shasha Guo, Lizi Liao, Cuiping Li, Tat-Seng Chua:
A Survey on Neural Question Generation: Methods, Applications, and Prospects. CoRR abs/2402.18267 (2024)
[i275]
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  - journals/corr/abs-2403-00436
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Jianwu Fang, Lei-Lei Li, Junfei Zhou, Junbin Xiao, Hongkai Yu, Chen Lv, Jianru Xue, Tat-Seng Chua:
Abductive Ego-View Accident Video Understanding for Safe Driving Perception. CoRR abs/2403.00436 (2024)
[i274]
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  - journals/corr/abs-2403-02692
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Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua:
Uplift Modeling for Target User Attacks on Recommender Systems. CoRR abs/2403.02692 (2024)
[i273]
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Zixuan Li, Lizi Liao, Tat-Seng Chua:
Learning to Ask Critical Questions for Assisting Product Search. CoRR abs/2403.02754 (2024)
[i272]
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Zixuan Li, Lizi Liao, Yunshan Ma, Tat-Seng Chua:
Contrastive Pre-training for Deep Session Data Understanding. CoRR abs/2403.02825 (2024)
[i271]
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Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua:
Discriminative Probing and Tuning for Text-to-Image Generation. CoRR abs/2403.04321 (2024)
[i270]
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Yujuan Ding, Yunshan Ma, Wenqi Fan, Yige Yao, Tat-Seng Chua, Qing Li:
FashionReGen: LLM-Empowered Fashion Report Generation. CoRR abs/2403.06660 (2024)
[i269]
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Tong Zhang, Chen Huang, Yang Deng, Hongru Liang, Jia Liu, Zujie Wen, Wenqiang Lei, Tat-Seng Chua:
Strength Lies in Differences! Towards Effective Non-collaborative Dialogues via Tailored Strategy Planning. CoRR abs/2403.06769 (2024)
[i268]
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  - journals/corr/abs-2403-09972
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Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua:
Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers. CoRR abs/2403.09972 (2024)
[i267]
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  - journals/corr/abs-2403-11703
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Ruyi Xu, Yuan Yao, Zonghao Guo, Junbo Cui, Zanlin Ni, Chunjiang Ge, Tat-Seng Chua, Zhiyuan Liu, Maosong Sun, Gao Huang:
LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images. CoRR abs/2403.11703 (2024)
[i266]
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Changmeng Zheng, Dayong Liang, Wengyu Zhang, Xiao-Yong Wei, Tat-Seng Chua, Qing Li:
A Picture Is Worth a Graph: Blueprint Debate on Graph for Multimodal Reasoning. CoRR abs/2403.14972 (2024)
[i265]
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  - journals/corr/abs-2404-01735
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Yunshan Ma, Yingzhi He, Wenjun Zhong, Xiang Wang, Roger Zimmermann, Tat-Seng Chua:
CIRP: Cross-Item Relational Pre-training for Multimodal Product Bundling. CoRR abs/2404.01735 (2024)
[i264]
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Chen Huang, Peixin Qin, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua:
Concept - An Evaluation Protocol on Conversational Recommender Systems with System-centric and User-centric Factors. CoRR abs/2404.03304 (2024)
[i263]
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  - journals/corr/abs-2404-11129
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Minghe Gao, Shuang Chen, Liang Pang, Yuan Yao, Jisheng Dang, Wenqiao Zhang, Juncheng Li, Siliang Tang, Yueting Zhuang, Tat-Seng Chua:
Fact : Teaching MLLMs with Faithful, Concise and Transferable Rationales. CoRR abs/2404.11129 (2024)
[i262]
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Yang Deng, Lizi Liao, Zhonghua Zheng, Grace Hui Yang, Tat-Seng Chua:
Towards Human-centered Proactive Conversational Agents. CoRR abs/2404.12670 (2024)
[i261]
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Haokun Wen, Xuemeng Song, Xiaolin Chen, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Simple but Effective Raw-Data Level Multimodal Fusion for Composed Image Retrieval. CoRR abs/2404.15875 (2024)
[i260]
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  - journals/corr/abs-2404-16924
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Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
A Survey of Generative Search and Recommendation in the Era of Large Language Models. CoRR abs/2404.16924 (2024)
[i259]
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  - journals/corr/abs-2404-17826
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Chen Xu, Xiaopeng Ye, Wenjie Wang, Liang Pang, Jun Xu, Tat-Seng Chua:
A Taxation Perspective for Fair Re-ranking. CoRR abs/2404.17826 (2024)
[i258]
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  - journals/corr/abs-2405-01926
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Kaihang Pan, Siliang Tang, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang:
Auto-Encoding Morph-Tokens for Multimodal LLM. CoRR abs/2405.01926 (2024)
[i257]
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  - journals/corr/abs-2405-06211
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Yujuan Ding, Wenqi Fan, Liangbo Ning, Shijie Wang, Hengyun Li, Dawei Yin, Tat-Seng Chua, Qing Li:
A Survey on RAG Meets LLMs: Towards Retrieval-Augmented Large Language Models. CoRR abs/2405.06211 (2024)
[i256]
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Wenjie Wang, Honghui Bao, Xilin Chen, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Learnable Tokenizer for LLM-based Generative Recommendation. CoRR abs/2405.07314 (2024)
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Chen Huang, Xinwei Yang, Yang Deng, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua:
Co-Matching: Towards Human-Machine Collaborative Legal Case Matching. CoRR abs/2405.10248 (2024)
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Yue Chen, Chen Huang, Yang Deng, Wenqiang Lei, Dingnan Jin, Jia Liu, Tat-Seng Chua:
STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational Agents. CoRR abs/2405.12059 (2024)
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Tong Zhang, Peixin Qin, Yang Deng, Chen Huang, Wenqiang Lei, Junhong Liu, Dingnan Jin, Hongru Liang, Tat-Seng Chua:
CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models. CoRR abs/2405.12063 (2024)
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Zhiyuan Liu, An Zhang, Hao Fei, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding. CoRR abs/2405.12564 (2024)
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Weixiang Zhao, Yulin Hu, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, Tat-Seng Chua:
Towards Comprehensive and Efficient Post Safety Alignment of Large Language Models via Safety Patching. CoRR abs/2405.13820 (2024)
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Jingnan Zheng, Han Wang, An Zhang, Tai D. Nguyen, Jun Sun, Tat-Seng Chua:
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation. CoRR abs/2405.14125 (2024)
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Zhiyuan Liu, Yaorui Shi, An Zhang, Sihang Li, Enzhi Zhang, Xiang Wang, Kenji Kawaguchi, Tat-Seng Chua:
ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining. CoRR abs/2405.14225 (2024)
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Tianyu Yu, Haoye Zhang, Yuan Yao, Yunkai Dang, Da Chen, Xiaoman Lu, Ganqu Cui, Taiwen He, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
RLAIF-V: Aligning MLLMs through Open-Source AI Feedback for Super GPT-4V Trustworthiness. CoRR abs/2405.17220 (2024)
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  - journals/corr/abs-2405-20626
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Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. CoRR abs/2405.20626 (2024)
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  - journals/corr/abs-2406-02472
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Zhihan Zhang, Yixin Cao, Chenchen Ye, Yunshan Ma, Lizi Liao, Tat-Seng Chua:
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding. CoRR abs/2406.02472 (2024)
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Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Meng Wang, Tat-Seng Chua, Yao Zhao:
Instructing Prompt-to-Prompt Generation for Zero-Shot Learning. CoRR abs/2406.03032 (2024)
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Shengqiong Wu, Hao Fei, Xiangtai Li, Jiayi Ji, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan:
Towards Semantic Equivalence of Tokenization in Multimodal LLM. CoRR abs/2406.05127 (2024)
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Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua:
Unified Text-to-Image Generation and Retrieval. CoRR abs/2406.05814 (2024)
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Hao Li, Chenghao Yang, An Zhang, Yang Deng, Xiang Wang, Tat-Seng Chua:
Hello Again! LLM-powered Personalized Agent for Long-term Dialogue. CoRR abs/2406.05925 (2024)
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Yuxin Chen, Junfei Tan, An Zhang, Zhengyi Yang, Leheng Sheng, Enzhi Zhang, Xiang Wang, Tat-Seng Chua:
On Softmax Direct Preference Optimization for Recommendation. CoRR abs/2406.09215 (2024)
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Xuan Zhang, Yang Deng, Zifeng Ren, See-Kiong Ng, Tat-Seng Chua:
Ask-before-Plan: Proactive Language Agents for Real-World Planning. CoRR abs/2406.12639 (2024)
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Rebecca Salganik, Xiaohao Liu, Yunshan Ma, Jian Kang, Tat-Seng Chua:
LARP: Language Audio Relational Pre-training for Cold-Start Playlist Continuation. CoRR abs/2406.14333 (2024)
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Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua, Shuicheng Yan:
Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment. CoRR abs/2406.19255 (2024)
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  - journals/corr/abs-2407-05441
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Leheng Sheng, An Zhang, Yi Zhang, Yuxin Chen, Xiang Wang, Tat-Seng Chua:
Language Models Encode Collaborative Signals in Recommendation. CoRR abs/2407.05441 (2024)
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  - journals/corr/abs-2407-07544
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An Zhang, Han Wang, Xiang Wang, Tat-Seng Chua:
Disentangling Masked Autoencoders for Unsupervised Domain Generalization. CoRR abs/2407.07544 (2024)
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  - journals/corr/abs-2407-11638
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He Chang, Chenchen Ye, Zhulin Tao, Jie Wu, Zhengmao Yang, Yunshan Ma, Xianglin Huang, Tat-Seng Chua:
A Comprehensive Evaluation of Large Language Models on Temporal Event Forecasting. CoRR abs/2407.11638 (2024)
[i234]
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  - journals/corr/abs-2407-11712
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Xiaohao Liu, Jie Wu, Zhulin Tao, Yunshan Ma, Yinwei Wei, Tat-Seng Chua:
Harnessing Large Language Models for Multimodal Product Bundling. CoRR abs/2407.11712 (2024)
[i233]
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  - journals/corr/abs-2407-17274
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Yongqi Li, Hongru Cai, Wenjie Wang, Leigang Qu, Yinwei Wei, Wenjie Li, Liqiang Nie, Tat-Seng Chua:
Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation. CoRR abs/2407.17274 (2024)
[i232]
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  - journals/corr/abs-2408-04223
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Junbin Xiao, Nanxin Huang, Hangyu Qin, Dongyang Li, Yicong Li, Fengbin Zhu, Zhulin Tao, Jianxing Yu, Liang Lin, Tat-Seng Chua, Angela Yao:
VideoQA in the Era of LLMs: An Empirical Study. CoRR abs/2408.04223 (2024)
[i231]
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  - journals/corr/abs-2408-04388
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Haoxuan Li, Zhengmao Yang, Yunshan Ma, Yi Bin, Yang Yang, Tat-Seng Chua:
MM-Forecast: A Multimodal Approach to Temporal Event Forecasting with Large Language Models. CoRR abs/2408.04388 (2024)
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  - journals/corr/abs-2409-02828
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Xing Lan, Jian Xue, Ji Qi, Dongmei Jiang, Ke Lu, Tat-Seng Chua:
ExpLLM: Towards Chain of Thought for Facial Expression Recognition. CoRR abs/2409.02828 (2024)
[i229]
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  - journals/corr/abs-2409-14319
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Sheng Zhou, Junbin Xiao, Xun Yang, Peipei Song, Dan Guo, Angela Yao, Meng Wang, Tat-Seng Chua:
Scene-Text Grounding for Text-Based Video Question Answering. CoRR abs/2409.14319 (2024)
[i228]
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  - journals/corr/abs-2409-14399
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Peixin Qin, Chen Huang, Yang Deng, Wenqiang Lei, Tat-Seng Chua:
Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations. CoRR abs/2409.14399 (2024)
[i227]
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  - journals/corr/abs-2409-19594
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Jingnan Zheng, Jiaohao Liu, An Zhang, Jun Zeng, Ziqi Yang, Zhenkai Liang, Tat-Seng Chua:
MASKDROID: Robust Android Malware Detection with Masked Graph Representations. CoRR abs/2409.19594 (2024)
[i226]
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  - journals/corr/abs-2410-02355
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Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua:
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. CoRR abs/2410.02355 (2024)
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  - journals/corr/abs-2410-03739
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Yu Zhao, Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Grammar Induction from Visual, Speech and Text. CoRR abs/2410.03739 (2024)
[i224]
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  - journals/corr/abs-2410-05165
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Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Efficient Inference for Large Language Model-based Generative Recommendation. CoRR abs/2410.05165 (2024)
[i223]
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  - journals/corr/abs-2410-11560
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Man Liu, Huihui Bai, Feng Li, Chunjie Zhang, Yunchao Wei, Meng Wang, Tat-Seng Chua, Yao Zhao:
PSVMA+: Exploring Multi-granularity Semantic-visual Adaption for Generalized Zero-shot Learning. CoRR abs/2410.11560 (2024)
[i222]
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  - journals/corr/abs-2410-13117
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Shuo Liu, An Zhang, Guoqing Hu, Hong Qian, Tat-Seng Chua:
Preference Diffusion for Recommendation. CoRR abs/2410.13117 (2024)
[i221]
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  - journals/corr/abs-2410-13373
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Kangkang Lu, Yanhua Yu, Zhiyong Huang, Jia Li, Yuling Wang, Meiyu Liang, Xiting Qin, Yimeng Ren, Tat-Seng Chua, Xidian Wang:
Addressing Heterogeneity and Heterophily in Graphs: A Heterogeneous Heterophilic Spectral Graph Neural Network. CoRR abs/2410.13373 (2024)
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  - journals/corr/abs-2410-14148
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Chenhang Cui, An Zhang, Yiyang Zhou, Zhaorun Chen, Gelei Deng, Huaxiu Yao, Tat-Seng Chua:
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment. CoRR abs/2410.14148 (2024)
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  - journals/corr/abs-2410-17236
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Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat-Seng Chua:
Large Language Models Empowered Personalized Web Agents. CoRR abs/2410.17236 (2024)
[i218]
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  - journals/corr/abs-2410-17266
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Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Huanhuan Zheng, Tat-Seng Chua:
Temporal Relational Reasoning of Large Language Models for Detecting Stock Portfolio Crashes. CoRR abs/2410.17266 (2024)
[i217]
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  - journals/corr/abs-2410-21311
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Fengbin Zhu, Ziyang Liu, Xiang Yao Ng, Haohui Wu, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua:
MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding. CoRR abs/2410.21311 (2024)
[i216]
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Yang Zhang, Juntao You, Yimeng Bai, Jizhi Zhang, Keqin Bao, Wenjie Wang, Tat-Seng Chua:
Causality-Enhanced Behavior Sequence Modeling in LLMs for Personalized Recommendation. CoRR abs/2410.22809 (2024)
[i215]
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Youcheng Huang, Fengbin Zhu, Jingkun Tang, Pan Zhou, Wenqiang Lei, Jiancheng Lv, Tat-Seng Chua:
Effective and Efficient Adversarial Detection for Vision-Language Models via A Single Vector. CoRR abs/2410.22888 (2024)
[i214]
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Ke Li, Fuyu Dong, Di Wang, Shaofeng Li, Quan Wang, Xinbo Gao, Tat-Seng Chua:
Show Me What and Where has Changed? Question Answering and Grounding for Remote Sensing Change Detection. CoRR abs/2410.23828 (2024)
[i213]
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  - journals/corr/abs-2411-04602
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Ruiyang Ren, Yuhao Wang, Kun Zhou, Wayne Xin Zhao, Wenjie Wang, Jing Liu, Ji-Rong Wen, Tat-Seng Chua:
Self-Calibrated Listwise Reranking with Large Language Models. CoRR abs/2411.04602 (2024)
[i212]
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  - journals/corr/abs-2411-11496
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Chenhang Cui, Gelei Deng, An Zhang, Jingnan Zheng, Yicong Li, Lianli Gao, Tianwei Zhang, Tat-Seng Chua:
Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models. CoRR abs/2411.11496 (2024)
[i211]
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  - journals/corr/abs-2411-19107
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Shuo Xu, Haokai Ma, Yunshan Ma, Xiaohao Liu, Lei Meng, Xiangxu Meng, Tat-Seng Chua:
Headache to Overstock? Promoting Long-tail Items through Debiased Product Bundling. CoRR abs/2411.19107 (2024)
[i210]
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  - journals/corr/abs-2412-00161
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Haiyi Qiu, Minghe Gao, Long Qian, Kaihang Pan, Qifan Yu, Juncheng Li, Wenjie Wang, Siliang Tang, Yueting Zhuang, Tat-Seng Chua:
STEP: Enhancing Video-LLMs' Compositional Reasoning by Spatio-Temporal Graph-guided Self-Training. CoRR abs/2412.00161 (2024)
[i209]
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Leigang Qu, Haochuan Li, Wenjie Wang, Xiang Liu, Juncheng Li, Liqiang Nie, Tat-Seng Chua:
SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation. CoRR abs/2412.05818 (2024)
[i208]
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Shengqiong Wu, Hao Fei, Liangming Pan, William Yang Wang, Shuicheng Yan, Tat-Seng Chua:
Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning. CoRR abs/2412.11124 (2024)
[i207]
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Moxin Li, Yong Zhao, Yang Deng, Wenxuan Zhang, Shuaiyi Li, Wenya Xie, See-Kiong Ng, Tat-Seng Chua:
Knowledge Boundary of Large Language Models: A Survey. CoRR abs/2412.12472 (2024)
[i206]
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Yipeng Zhang, Yifan Liu, Zonghao Guo, Yidan Zhang, Xuesong Yang, Chi Chen, Jun Song, Bo Zheng, Yuan Yao, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
LLaVA-UHD v2: an MLLM Integrating High-Resolution Feature Pyramid via Hierarchical Window Transformer. CoRR abs/2412.13871 (2024)
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Jinghan He, Kuan Zhu, Haiyun Guo, Junfeng Fang, Zhenglin Hua, Yuheng Jia, Ming Tang, Tat-Seng Chua, Jinqiao Wang:
Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence. CoRR abs/2412.13949 (2024)
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Yuxuan Gu, Wenjie Wang, Xiaocheng Feng, Weihong Zhong, Kun Zhu, Lei Huang, Tat-Seng Chua, Bing Qin:
Length Controlled Generation for Black-box LLMs. CoRR abs/2412.14656 (2024)
[i203]
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Xiaohao Liu, Xiaobo Xia, Zhuo Huang, Tat-Seng Chua:
Towards Modality Generalization: A Benchmark and Prospective Analysis. CoRR abs/2412.18277 (2024)
[i202]
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Hao Fei, Shengqiong Wu, Hanwang Zhang, Tat-Seng Chua, Shuicheng Yan:
Vitron: A Unified Pixel-level Vision LLM for Understanding, Generating, Segmenting, Editing. CoRR abs/2412.19806 (2024)
2023
[j184]
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Xuanmeng Zhang, Zhedong Zheng, Daiheng Gao, Bang Zhang, Yi Yang, Tat-Seng Chua:
Multi-view Consistent Generative Adversarial Networks for Compositional 3D-Aware Image Synthesis. Int. J. Comput. Vis. 131(8): 2219-2242 (2023)
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Xiang Wang, Yingxin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Reinforced Causal Explainer for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2297-2309 (2023)
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Shengyu Zhang, Fuli Feng, Kun Kuang, Wenqiao Zhang, Zhou Zhao, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Personalized Latent Structure Learning for Recommendation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10285-10299 (2023)
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Juncheng Li, Siliang Tang, Linchao Zhu, Wenqiao Zhang, Yi Yang, Tat-Seng Chua, Fei Wu, Yueting Zhuang:
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 12601-12617 (2023)
[j180]
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Junbin Xiao, Pan Zhou, Angela Yao, Yicong Li, Richang Hong, Shuicheng Yan, Tat-Seng Chua:
Contrastive Video Question Answering via Video Graph Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13265-13280 (2023)
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Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins:
Report on the 16th ACM International Conference on Web Search and Data Mining (WSDM 2023). SIGIR Forum 57(1): 8:1-8:5 (2023)
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Tat-Seng Chua:
Towards Generative Search and Recommendation: A keynote at RecSys 2023. SIGIR Forum 57(2): 5:1-5:14 (2023)
[j177]
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Hady W. Lauw, Tat-Seng Chua, Luo Si, Evimaria Terzi, Panayiotis Tsaparas, Andrew Tomkins:
ACM WSDM 2023 Report. SIGWEB Newsl. 2023(Spring): 1:1-1:6 (2023)
[j176]
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  - journals/tkde/FengHZC23
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Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Cross-GCN: Enhancing Graph Convolutional Network with $k$k-Order Feature Interactions. IEEE Trans. Knowl. Data Eng. 35(1): 225-236 (2023)
[j175]
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Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua:
Learning Relation Prototype From Unlabeled Texts for Long-Tail Relation Extraction. IEEE Trans. Knowl. Data Eng. 35(2): 1761-1774 (2023)
[j174]
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Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua:
Causal Inference for Knowledge Graph Based Recommendation. IEEE Trans. Knowl. Data Eng. 35(11): 11153-11164 (2023)
[j173]
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  - journals/tmm/WuLZLZQC23
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Yuxia Wu, Lizi Liao, Gangyi Zhang, Wenqiang Lei, Guoshuai Zhao, Xueming Qian, Tat-Seng Chua:
State Graph Reasoning for Multimodal Conversational Recommendation. IEEE Trans. Multim. 25: 3113-3124 (2023)
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Zhulin Tao, Xiaohao Liu, Yewei Xia, Xiang Wang, Lifang Yang, Xianglin Huang, Tat-Seng Chua:
Self-Supervised Learning for Multimedia Recommendation. IEEE Trans. Multim. 25: 5107-5116 (2023)
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  - journals/tois/LuMWZWLCM23
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Hongyu Lu, Weizhi Ma, Yifan Wang, Min Zhang, Xiang Wang, Yiqun Liu, Tat-Seng Chua, Shaoping Ma:
User Perception of Recommendation Explanation: Are Your Explanations What Users Need? ACM Trans. Inf. Syst. 41(2): 48:1-48:31 (2023)
[j170]
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Hao Fei, Tat-Seng Chua, Chenliang Li, Donghong Ji, Meishan Zhang, Yafeng Ren:
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training. ACM Trans. Inf. Syst. 41(2): 50:1-50:32 (2023)
[j169]
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Yang Deng, Wenxuan Zhang, Weiwen Xu, Wenqiang Lei, Tat-Seng Chua, Wai Lam:
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems. ACM Trans. Inf. Syst. 41(3): 77:1-77:25 (2023)
[c495]
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Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Hai-Tao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun:
Visually Grounded Commonsense Knowledge Acquisition. AAAI 2023: 6583-6592
[c494]
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Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, Tat-Seng Chua:
FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms. AAAI 2023: 14444-14452
[c493]
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Shengyu Zhang, Xusheng Feng, Wenyan Fan, Wenjing Fang, Fuli Feng, Wei Ji, Shuo Li, Li Wang, Shanshan Zhao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Video-Audio Domain Generalization via Confounder Disentanglement. AAAI 2023: 15322-15330
[c492]
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  - conf/acl/0001LLBLC23
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Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua:
Reasoning Implicit Sentiment with Chain-of-Thought Prompting. ACL (2) 2023: 1171-1182
[c491]
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Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua:
Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context. ACL (Findings) 2023: 1220-1236
[c490]
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Shengqiong Wu, Hao Fei, Wei Ji, Tat-Seng Chua:
Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment. ACL (1) 2023: 2593-2608
[c489]
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Jingyun Xu, Changmeng Zheng, Yi Cai, Tat-Seng Chua:
Improving Named Entity Recognition via Bridge-based Domain Adaptation. ACL (Findings) 2023: 3869-3882
[c488]
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Hao Fei, Qian Liu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination. ACL (1) 2023: 5980-5994
[c487]
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Yu Zhao, Hao Fei, Wei Ji, Jianguo Wei, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Generating Visual Spatial Description via Holistic 3D Scene Understanding. ACL (1) 2023: 7960-7977
[c486]
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Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction. ACL (Findings) 2023: 9395-9408
[c485]
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Peng Qi, Yuyang Zhao, Yufeng Shen, Wei Ji, Juan Cao, Tat-Seng Chua:
Two Heads Are Better Than One: Improving Fake News Video Detection by Correlating with Neighbors. ACL (Findings) 2023: 11947-11959
[c484]
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Bobo Li, Hao Fei, Fei Li, Yuhan Wu, Jinsong Zhang, Shengqiong Wu, Jingye Li, Yijiang Liu, Lizi Liao, Tat-Seng Chua, Donghong Ji:
DiaASQ: A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis. ACL (Findings) 2023: 13449-13467
[c483]
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Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua:
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. ACL (1) 2023: 14734-14751
[c482]
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  - conf/acm/0002LHC23
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Yang Deng, Wenqiang Lei, Minlie Huang, Tat-Seng Chua:
Goal Awareness for Conversational AI: Proactivity, Non-collaborativity, and Beyond. ACL (tutorial) 2023: 1-10
[c481]
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  - conf/cikm/KoaMNC23
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Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua:
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction. CIKM 2023: 1087-1096
[c480]
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Jujia Zhao, Wenjie Wang, Xinyu Lin, Leigang Qu, Jizhi Zhang, Tat-Seng Chua:
Popularity-aware Distributionally Robust Optimization for Recommendation System. CIKM 2023: 4967-4973
[c479]
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  - conf/cvpr/JiLZZZ0LC23
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Wei Ji, Renjie Liang, Zhedong Zheng, Wenqiao Zhang, Shengyu Zhang, Juncheng Li, Mengze Li, Tat-Seng Chua:
Are Binary Annotations Sufficient? Video Moment Retrieval via Hierarchical Uncertainty-based Active Learning. CVPR 2023: 23013-23022
[c478]
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Moxin Li, Wenjie Wang, Fuli Feng, Yixin Cao, Jizhi Zhang, Tat-Seng Chua:
Robust Prompt Optimization for Large Language Models Against Distribution Shifts. EMNLP 2023: 1539-1554
[c477]
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  - conf/emnlp/WuPSCC23
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Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
LLMDet: A Third Party Large Language Models Generated Text Detection Tool. EMNLP (Findings) 2023: 2113-2133
[c476]
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  - conf/emnlp/DingPWSCC23
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Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. EMNLP (Findings) 2023: 4424-4436
[c475]
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Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, Kam-Fai Wong:
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. EMNLP 2023: 6325-6341
[c474]
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  - conf/emnlp/Shui00C23
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Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua:
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. EMNLP (Findings) 2023: 7337-7348
[c473]
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Yang Deng, Lizi Liao, Liang Chen, Hongru Wang, Wenqiang Lei, Tat-Seng Chua:
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration. EMNLP (Findings) 2023: 10602-10621
[c472]
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Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. EMNLP 2023: 15623-15638
[c471]
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Juncheng Li, Minghe Gao, Longhui Wei, Siliang Tang, Wenqiao Zhang, Mengze Li, Wei Ji, Qi Tian, Tat-Seng Chua, Yueting Zhuang:
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models. ICCV 2023: 2551-2562
[c470]
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Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua:
Discovering Spatio-Temporal Rationales for Video Question Answering. ICCV 2023: 13823-13832
[c469]
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An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Boosting Causal Discovery via Adaptive Sample Reweighting. ICLR 2023
[c468]
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Yang Deng, Wenqiang Lei, Wai Lam, Tat-Seng Chua:
A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects. IJCAI 2023: 6583-6591
[c467]
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  - conf/kdd/LiuM0WDC23
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Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua:
Discovering Dynamic Causal Space for DAG Structure Learning. KDD 2023: 1429-1440
[c466]
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Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He:
FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. KDD 2023: 1548-1558
[c465]
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Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua:
Context-aware Event Forecasting via Graph Disentanglement. KDD 2023: 1643-1652
[c464]
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Leigang Qu, Shengqiong Wu, Hao Fei, Liqiang Nie, Tat-Seng Chua:
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation. ACM Multimedia 2023: 643-654
[c463]
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Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yinwei Wei, Tat-Seng Chua:
Equivariant Learning for Out-of-Distribution Cold-start Recommendation. ACM Multimedia 2023: 903-914
[c462]
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Mu Chen, Zhedong Zheng, Yi Yang, Tat-Seng Chua:
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation. ACM Multimedia 2023: 1905-1914
[c461]
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Yicong Li, Xun Yang, An Zhang, Chun Feng, Xiang Wang, Tat-Seng Chua:
Redundancy-aware Transformer for Video Question Answering. ACM Multimedia 2023: 3172-3180
[c460]
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Yu Zhao, Hao Fei, Yixin Cao, Bobo Li, Meishan Zhang, Jianguo Wei, Min Zhang, Tat-Seng Chua:
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling. ACM Multimedia 2023: 5281-5291
[c459]
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Bobo Li, Hao Fei, Lizi Liao, Yu Zhao, Chong Teng, Tat-Seng Chua, Donghong Ji, Fei Li:
Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition. ACM Multimedia 2023: 5923-5934
[c458]
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Jiawei Wang, Zhanchang Ma, Da Cao, Yuquan Le, Junbin Xiao, Tat-Seng Chua:
Deconfounded Multimodal Learning for Spatio-temporal Video Grounding. ACM Multimedia 2023: 7521-7529
[c457]
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  - conf/mm/ZhengSWLFWC23
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Zhedong Zheng, Yujiao Shi, Tingyu Wang, Jun Liu, Jianwu Fang, Yunchao Wei, Tat-Seng Chua:
UAVM '23: 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective. ACM Multimedia 2023: 9715-9717
[c456]
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Wei Ji, Yinwei Wei, Zhedong Zheng, Hao Fei, Tat-Seng Chua:
Deep Multimodal Learning for Information Retrieval. ACM Multimedia 2023: 9739-9741
[c455]
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Zheng Wang, Cheng Long, Shihao Xu, Bingzheng Gan, Wei Shi, Zhao Cao, Tat-Seng Chua:
LGM3A '23: 1st Workshop on Large Generative Models Meet Multimodal Applications. ACM Multimedia 2023: 9744-9745
[c454]
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Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. NeurIPS 2023
[c453]
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Shengqiong Wu, Hao Fei, Hanwang Zhang, Tat-Seng Chua:
Imagine That! Abstract-to-Intricate Text-to-Image Synthesis with Scene Graph Hallucination Diffusion. NeurIPS 2023
[c452]
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Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua:
VPGTrans: Transfer Visual Prompt Generator across LLMs. NeurIPS 2023
[c451]
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An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. NeurIPS 2023
[c450]
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  - conf/sigir/WangXFL0C23
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Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua:
Diffusion Recommender Model. SIGIR 2023: 832-841
[c449]
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Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua:
Strategy-aware Bundle Recommender System. SIGIR 2023: 1198-1207
[c448]
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Leigang Qu, Meng Liu, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua:
Learnable Pillar-based Re-ranking for Image-Text Retrieval. SIGIR 2023: 1252-1261
[c447]
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Yinwei Wei, Wenqi Liu, Fan Liu, Xiang Wang, Liqiang Nie, Tat-Seng Chua:
LightGT: A Light Graph Transformer for Multimedia Recommendation. SIGIR 2023: 1508-1517
[c446]
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Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Dual Semantic Knowledge Composed Multimodal Dialog Systems. SIGIR 2023: 1518-1527
[c445]
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  - conf/sigir-ap/DengLHC23
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Yang Deng, Wenqiang Lei, Minlie Huang, Tat-Seng Chua:
Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond. SIGIR-AP 2023: 298-301
[c444]
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Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua:
Cooperative Explanations of Graph Neural Networks. WSDM 2023: 616-624
[c443]
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  - conf/www/ZhuLXFWC23
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Fengbin Zhu, Moxin Li, Junbin Xiao, Fuli Feng, Chao Wang, Tat-Seng Chua:
SoarGraph: Numerical Reasoning over Financial Table-Text Data via Semantic-Oriented Hierarchical Graphs. WWW (Companion Volume) 2023: 1236-1244
[c442]
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An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua:
Invariant Collaborative Filtering to Popularity Distribution Shift. WWW 2023: 1240-1251
[c441]
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Yuting Yang, Wenqiang Lei, Pei Huang, Juan Cao, Jintao Li, Tat-Seng Chua:
A Dual Prompt Learning Framework for Few-Shot Dialogue State Tracking. WWW 2023: 1468-1477
[e19]
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Zheng Wang, Cheng Long, Shihao Xu, Bingzheng Gan, Wei Shi, Zhao Cao, Tat-Seng Chua:
Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications, LGM3A 2023, Ottawa ON, Canada, 2 November 2023. ACM 2023 [contents]
[e18]
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Wei Ji, Yinwei Wei, Zhedong Zheng, Hao Fei, Tat-Seng Chua:
Proceedings of the 1st International Workshop on Deep Multimodal Learning for Information Retrieval, MMIR 2023, Ottawa ON, Canada, 2 November 2023. ACM 2023 [contents]
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Zhedong Zheng, Yujiao Shi, Tingyu Wang, Jun Liu, Jianwu Fang, Yunchao Wei, Tat-Seng Chua:
Proceedings of the 2023 Workshop on UAVs in Multimedia: Capturing the World from a New Perspective, UAVM 2023, Ottawa ON, Canada, 2 November 2023. ACM 2023 [contents]
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Tat-Seng Chua, Hady W. Lauw, Luo Si, Evimaria Terzi, Panayiotis Tsaparas:
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, WSDM 2023, Singapore, 27 February 2023 - 3 March 2023. ACM 2023, ISBN 978-1-4503-9407-9 [contents]
[i201]
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  - journals/corr/abs-2301-09071
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Juncheng Li, Siliang Tang, Linchao Zhu, Wenqiao Zhang, Yi Yang, Tat-Seng Chua, Fei Wu, Yueting Zhuang:
Variational Cross-Graph Reasoning and Adaptive Structured Semantics Learning for Compositional Temporal Grounding. CoRR abs/2301.09071 (2023)
[i200]
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  - journals/corr/abs-2302-05328
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An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua:
Invariant Collaborative Filtering to Popularity Distribution Shift. CoRR abs/2302.05328 (2023)
[i199]
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  - journals/corr/abs-2302-13668
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Junbin Xiao, Pan Zhou, Angela Yao, Yicong Li, Richang Hong, Shuicheng Yan, Tat-Seng Chua:
Contrastive Video Question Answering via Video Graph Transformer. CoRR abs/2302.13668 (2023)
[i198]
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  - journals/corr/abs-2303-03187
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An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Boosting Differentiable Causal Discovery via Adaptive Sample Reweighting. CoRR abs/2303.03187 (2023)
[i197]
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  - journals/corr/abs-2303-06571
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Juncheng Li, Minghe Gao, Longhui Wei, Siliang Tang, Wenqiao Zhang, Mengze Li, Wei Ji, Qi Tian, Tat-Seng Chua, Yueting Zhuang:
Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models. CoRR abs/2303.06571 (2023)
[i196]
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  - journals/corr/abs-2303-16068
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Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua:
Causal Disentangled Recommendation Against User Preference Shifts. CoRR abs/2303.16068 (2023)
[i195]
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  - journals/corr/abs-2304-03516
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Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Generative Recommendation: Towards Next-generation Recommender Paradigm. CoRR abs/2304.03516 (2023)
[i194]
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Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua:
Diffusion Recommender Model. CoRR abs/2304.04971 (2023)
[i193]
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  - journals/corr/abs-2304-06248
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Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Fei Li, Libo Qin, Meishan Zhang, Min Zhang, Tat-Seng Chua:
LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model. CoRR abs/2304.06248 (2023)
[i192]
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  - journals/corr/abs-2304-09563
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Hao Fei, Tat-Seng Chua, Chenliang Li, Donghong Ji, Meishan Zhang, Yafeng Ren:
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training. CoRR abs/2304.09563 (2023)
[i191]
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  - journals/corr/abs-2304-12570
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Leigang Qu, Meng Liu, Wenjie Wang, Zhedong Zheng, Liqiang Nie, Tat-Seng Chua:
Learnable Pillar-based Re-ranking for Image-Text Retrieval. CoRR abs/2304.12570 (2023)
[i190]
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  - journals/corr/abs-2304-14732
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Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
Search-in-the-Chain: Towards the Accurate, Credible and Traceable Content Generation for Complex Knowledge-intensive Tasks. CoRR abs/2304.14732 (2023)
[i189]
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  - journals/corr/abs-2305-01278
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Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua:
Transfer Visual Prompt Generator across LLMs. CoRR abs/2305.01278 (2023)
[i188]
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  - journals/corr/abs-2305-01938
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Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua:
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents with Semantic-Oriented Hierarchical Graphs. CoRR abs/2305.01938 (2023)
[i187]
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  - journals/corr/abs-2305-02750
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Yang Deng, Wenqiang Lei, Wai Lam, Tat-Seng Chua:
A Survey on Proactive Dialogue Systems: Problems, Methods, and Prospects. CoRR abs/2305.02750 (2023)
[i186]
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  - journals/corr/abs-2305-09990
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Xiaolin Chen, Xuemeng Song, Yinwei Wei, Liqiang Nie, Tat-Seng Chua:
Dual Semantic Knowledge Composed Multimodal Dialog Systems. CoRR abs/2305.09990 (2023)
[i185]
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  - journals/corr/abs-2305-11255
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  - https://dblp.org/rec/journals/corr/abs-2305-11255
Hao Fei, Bobo Li, Qian Liu, Lidong Bing, Fei Li, Tat-Seng Chua:
Reasoning Implicit Sentiment with Chain-of-Thought Prompting. CoRR abs/2305.11255 (2023)
[i184]
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Shengqiong Wu, Hao Fei, Yixin Cao, Lidong Bing, Tat-Seng Chua:
Information Screening whilst Exploiting! Multimodal Relation Extraction with Feature Denoising and Multimodal Topic Modeling. CoRR abs/2305.11719 (2023)
[i183]
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Yu Zhao, Hao Fei, Wei Ji, Jianguo Wei, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Generating Visual Spatial Description via Holistic 3D Scene Understanding. CoRR abs/2305.11768 (2023)
[i182]
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Hao Fei, Qian Liu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination. CoRR abs/2305.12256 (2023)
[i181]
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Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction. CoRR abs/2305.12258 (2023)
[i180]
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Shengqiong Wu, Hao Fei, Wei Ji, Tat-Seng Chua:
Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment. CoRR abs/2305.12260 (2023)
[i179]
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Bosheng Qin, Juncheng Li, Siliang Tang, Tat-Seng Chua, Yueting Zhuang:
InstructVid2Vid: Controllable Video Editing with Natural Language Instructions. CoRR abs/2305.12328 (2023)
[i178]
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Hanxing Ding, Liang Pang, Zihao Wei, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space. CoRR abs/2305.12785 (2023)
[i177]
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Yang Deng, Wenqiang Lei, Lizi Liao, Tat-Seng Chua:
Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration. CoRR abs/2305.13626 (2023)
[i176]
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Moxin Li, Wenjie Wang, Fuli Feng, Jizhi Zhang, Tat-Seng Chua:
Robust Instruction Optimization for Large Language Models with Distribution Shifts. CoRR abs/2305.13954 (2023)
[i175]
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Kangxi Wu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua:
LLMDet: A Large Language Models Detection Tool. CoRR abs/2305.15004 (2023)
[i174]
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Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua:
Discovering Dynamic Causal Space for DAG Structure Learning. CoRR abs/2306.02822 (2023)
[i173]
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Yujuan Ding, Zhihui Lai, P. Y. Mok, Tat-Seng Chua:
Computational Technologies for Fashion Recommendation: A Survey. CoRR abs/2306.03395 (2023)
[i172]
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Bobo Li, Hao Fei, Fei Li, Shengqiong Wu, Lizi Liao, Yinwei Wei, Tat-Seng Chua, Donghong Ji:
Revisiting Conversation Discourse for Dialogue Disentanglement. CoRR abs/2306.03975 (2023)
[i171]
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Peng Qi, Yuyang Zhao, Yufeng Shen, Wei Ji, Juan Cao, Tat-Seng Chua:
Two Heads Are Better Than One: Improving Fake News Video Detection by Correlating with Neighbors. CoRR abs/2306.05241 (2023)
[i170]
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Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua:
Discovering Spatio-Temporal Rationales for Video Question Answering. CoRR abs/2307.12058 (2023)
[i169]
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Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua:
XNLP: An Interactive Demonstration System for Universal Structured NLP. CoRR abs/2308.01846 (2023)
[i168]
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Keyu Duan, Qian Liu, Tat-Seng Chua, Shuicheng Yan, Wei Tsang Ooi, Qizhe Xie, Junxian He:
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning. CoRR abs/2308.02565 (2023)
[i167]
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Yicong Li, Xun Yang, An Zhang, Chun Feng, Xiang Wang, Tat-Seng Chua:
Redundancy-aware Transformer for Video Question Answering. CoRR abs/2308.03267 (2023)
[i166]
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Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Hanwang Zhang, Wei Ji, Wenqiao Zhang, Tat-Seng Chua, Siliang Tang, Yueting Zhuang:
Empowering Vision-Language Models to Follow Interleaved Vision-Language Instructions. CoRR abs/2308.04152 (2023)
[i165]
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Bobo Li, Hao Fei, Lizi Liao, Yu Zhao, Chong Teng, Tat-Seng Chua, Donghong Ji, Fei Li:
Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition. CoRR abs/2308.04502 (2023)
[i164]
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  - journals/corr/abs-2308-05081
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Yu Zhao, Hao Fei, Yixin Cao, Bobo Li, Meishan Zhang, Jianguo Wei, Min Zhang, Tat-Seng Chua:
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling. CoRR abs/2308.05081 (2023)
[i163]
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Leigang Qu, Shengqiong Wu, Hao Fei, Liqiang Nie, Tat-Seng Chua:
LayoutLLM-T2I: Eliciting Layout Guidance from LLM for Text-to-Image Generation. CoRR abs/2308.05095 (2023)
[i162]
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  - journals/corr/abs-2308-06480
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Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua:
Context-aware Event Forecasting via Graph Disentanglement. CoRR abs/2308.06480 (2023)
[i161]
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Hao Fei, Shengqiong Wu, Wei Ji, Hanwang Zhang, Tat-Seng Chua:
Empowering Dynamics-aware Text-to-Video Diffusion with Large Language Models. CoRR abs/2308.13812 (2023)
[i160]
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Kelvin J. L. Koa, Yunshan Ma, Ritchie Ng, Tat-Seng Chua:
Diffusion Variational Autoencoder for Tackling Stochasticity in Multi-Step Regression Stock Price Prediction. CoRR abs/2309.00073 (2023)
[i159]
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Junbin Xiao, Angela Yao, Yicong Li, Tat-Seng Chua:
Can I Trust Your Answer? Visually Grounded Video Question Answering. CoRR abs/2309.01327 (2023)
[i158]
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Shengqiong Wu, Hao Fei, Leigang Qu, Wei Ji, Tat-Seng Chua:
NExT-GPT: Any-to-Any Multimodal LLM. CoRR abs/2309.05519 (2023)
[i157]
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Han Yi, Zhedong Zheng, Xiangyu Xu, Tat-Seng Chua:
Progressive Text-to-3D Generation for Automatic 3D Prototyping. CoRR abs/2309.14600 (2023)
[i156]
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  - journals/corr/abs-2310-06491
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Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
A Multi-facet Paradigm to Bridge Large Language Model and Recommendation. CoRR abs/2310.06491 (2023)
[i155]
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  - journals/corr/abs-2310-07289
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Liang Chen, Yang Deng, Yatao Bian, Zeyu Qin, Bingzhe Wu, Tat-Seng Chua, Kam-Fai Wong:
Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators. CoRR abs/2310.07289 (2023)
[i154]
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  - journals/corr/abs-2310-10108
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An Zhang, Leheng Sheng, Yuxin Chen, Hao Li, Yang Deng, Xiang Wang, Tat-Seng Chua:
On Generative Agents in Recommendation. CoRR abs/2310.10108 (2023)
[i153]
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  - journals/corr/abs-2310-10696
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An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua:
Robust Collaborative Filtering to Popularity Distribution Shift. CoRR abs/2310.10696 (2023)
[i152]
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  - journals/corr/abs-2310-11761
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Ruihao Shui, Yixin Cao, Xiang Wang, Tat-Seng Chua:
A Comprehensive Evaluation of Large Language Models on Legal Judgment Prediction. CoRR abs/2310.11761 (2023)
[i151]
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  - journals/corr/abs-2310-12798
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Zhiyuan Liu, Sihang Li, Yanchen Luo, Hao Fei, Yixin Cao, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter. CoRR abs/2310.12798 (2023)
[i150]
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  - journals/corr/abs-2310-14753
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Zhiyuan Liu, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua:
Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules. CoRR abs/2310.14753 (2023)
[i149]
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  - journals/corr/abs-2310-18700
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An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. CoRR abs/2310.18700 (2023)
[i148]
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Yunshan Ma, Xiaohao Liu, Yinwei Wei, Zhulin Tao, Xiang Wang, Tat-Seng Chua:
Leveraging Multimodal Features and Item-level User Feedback for Bundle Construction. CoRR abs/2310.18770 (2023)
[i147]
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  - journals/corr/abs-2311-00262
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Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua:
Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents. CoRR abs/2311.00262 (2023)
[i146]
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  - journals/corr/abs-2311-04498
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Ao Zhang, Wei Ji, Tat-Seng Chua:
NExT-Chat: An LMM for Chat, Detection and Segmentation. CoRR abs/2311.04498 (2023)
[i145]
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Chen Xu, Wenjie Wang, Yuxin Li, Liang Pang, Jun Xu, Tat-Seng Chua:
Do LLMs Implicitly Exhibit User Discrimination in Recommendation? An Empirical Study. CoRR abs/2311.07054 (2023)
[i144]
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  - journals/corr/abs-2311-12751
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Meng Chu, Zhedong Zheng, Wei Ji, Tat-Seng Chua:
Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatially Relation Matching. CoRR abs/2311.12751 (2023)
[i143]
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Yunshan Ma, Yingzhi He, Xiang Wang, Yinwei Wei, Xiaoyu Du, Yuyangzi Fu, Tat-Seng Chua:
MultiCBR: Multi-view Contrastive Learning for Bundle Recommendation. CoRR abs/2311.16751 (2023)
[i142]
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  - journals/corr/abs-2312-00849
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Tianyu Yu, Yuan Yao, Haoye Zhang, Taiwen He, Yifeng Han, Ganqu Cui, Jinyi Hu, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun, Tat-Seng Chua:
RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback. CoRR abs/2312.00849 (2023)
[i141]
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  - journals/corr/abs-2312-01052
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Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Liang Pang, Tat-Seng Chua:
Structured, Complex and Time-complete Temporal Event Forecasting. CoRR abs/2312.01052 (2023)
[i140]
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  - journals/corr/abs-2312-09901
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Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua:
Temporally and Distributionally Robust Optimization for Cold-start Recommendation. CoRR abs/2312.09901 (2023)
[i139]
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  - journals/corr/abs-2312-10053
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Yang Deng, Zifeng Ren, An Zhang, Wenqiang Lei, Tat-Seng Chua:
Towards Goal-oriented Intelligent Tutoring Systems in Online Education. CoRR abs/2312.10053 (2023)
2022
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Qianru Sun, Yaoyao Liu, Zhaozheng Chen, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning Through Hard Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 44(3): 1443-1456 (2022)
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Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: Two Decades Review and New Perspectives. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6729-6751 (2022)
[j166]
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Yi Bin, Yujuan Ding, Bo Peng, Liang Peng, Yang Yang, Tat-Seng Chua:
Entity Slot Filling for Visual Captioning. IEEE Trans. Circuits Syst. Video Technol. 32(1): 52-62 (2022)
[j165]
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Xun Yang, Shanshan Wang, Jian Dong, Jianfeng Dong, Meng Wang, Tat-Seng Chua:
Video Moment Retrieval With Cross-Modal Neural Architecture Search. IEEE Trans. Image Process. 31: 1204-1216 (2022)
[j164]
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Guanghao Yin, Wei Wang, Zehuan Yuan, Wei Ji, Dongdong Yu, Shouqian Sun, Tat-Seng Chua, Changhu Wang:
Conditional Hyper-Network for Blind Super-Resolution With Multiple Degradations. IEEE Trans. Image Process. 31: 3949-3960 (2022)
[j163]
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Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua:
Topic-Guided Conversational Recommender in Multiple Domains. IEEE Trans. Knowl. Data Eng. 34(5): 2485-2496 (2022)
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Kaili Mao, Jianwei Niu, Xuefeng Liu, Shaojie Tang, Lizi Liao, Tat-Seng Chua:
A Patience-Aware Recommendation Scheme for Shared Accounts on Mobile Devices. IEEE Trans. Knowl. Data Eng. 34(12): 5571-5585 (2022)
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Lixi Deng, Jingjing Chen, Chong-Wah Ngo, Qianru Sun, Sheng Tang, Yongdong Zhang, Tat-Seng Chua:
Mixed Dish Recognition With Contextual Relation and Domain Alignment. IEEE Trans. Multim. 24: 2034-2045 (2022)
[j160]
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Yujuan Ding, Yunshan Ma, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media. IEEE Trans. Multim. 24: 2287-2299 (2022)
[j159]
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Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua:
Modeling Instant User Intent and Content-Level Transition for Sequential Fashion Recommendation. IEEE Trans. Multim. 24: 2687-2700 (2022)
[j158]
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Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua:
Hierarchical User Intent Graph Network for Multimedia Recommendation. IEEE Trans. Multim. 24: 2701-2712 (2022)
[j157]
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Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua:
Graph Technologies for User Modeling and Recommendation: Introduction to the Special Issue - Part 1. ACM Trans. Inf. Syst. 40(2): 21:1-21:5 (2022)
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Xiangnan He, Zhaochun Ren, Emine Yilmaz, Marc Najork, Tat-Seng Chua:
Introduction to the Special Section on Graph Technologies for User Modeling and Recommendation, Part 2. ACM Trans. Inf. Syst. 40(3): 42:1-42:5 (2022)
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Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Tat-Seng Chua:
Rethinking the Two-Stage Framework for Grounded Situation Recognition. AAAI 2022: 2651-2658
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Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua:
Video as Conditional Graph Hierarchy for Multi-Granular Question Answering. AAAI 2022: 2804-2812
[c438]
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  - conf/acl/LiFZ0ZC22
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Moxin Li, Fuli Feng, Hanwang Zhang, Xiangnan He, Fengbin Zhu, Tat-Seng Chua:
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning. ACL (1) 2022: 57-69
[c437]
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Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua:
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. CIKM 2022: 540-550
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Yicong Li, Xiang Wang, Junbin Xiao, Wei Ji, Tat-Seng Chua:
Invariant Grounding for Video Question Answering. CVPR 2022: 2918-2927
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Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan:
Video Graph Transformer for Video Question Answering. ECCV (36) 2022: 39-58
[c434]
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Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua:
Fine-Grained Scene Graph Generation with Data Transfer. ECCV (27) 2022: 409-424
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Weiwen Xu, Yang Deng, Wenqiang Lei, Wenlong Zhao, Tat-Seng Chua, Wai Lam:
ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction. EMNLP 2022: 2581-2594
[c432]
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Yuxia Wu, Lizi Liao, Xueming Qian, Tat-Seng Chua:
Semi-supervised New Slot Discovery with Incremental Clustering. EMNLP (Findings) 2022: 6207-6218
[c431]
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Yaoyao Zhong, Wei Ji, Junbin Xiao, Yicong Li, Weihong Deng, Tat-Seng Chua:
Video Question Answering: Datasets, Algorithms and Challenges. EMNLP 2022: 6439-6455
[c430]
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Yang Deng, Wenqiang Lei, Wenxuan Zhang, Wai Lam, Tat-Seng Chua:
PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance. EMNLP 2022: 6970-6984
[c429]
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Yuan Yao, Qianyu Chen, Ao Zhang, Wei Ji, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models. EMNLP 2022: 11104-11117
[c428]
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Yingxin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua:
Discovering Invariant Rationales for Graph Neural Networks. ICLR 2022
[c427]
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Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua:
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning. ICML 2022: 13052-13065
[c426]
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  - conf/kdd/MaHZWC22
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Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua:
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. KDD 2022: 1233-1241
[c425]
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Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua:
Causal Attention for Interpretable and Generalizable Graph Classification. KDD 2022: 1696-1705
[c424]
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Xufeng Qian, Yue Xu, Fuyu Lv, Shengyu Zhang, Ziwen Jiang, Qingwen Liu, Xiaoyi Zeng, Tat-Seng Chua, Fei Wu:
Intelligent Request Strategy Design in Recommender System. KDD 2022: 3772-3782
[c423]
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  - conf/mm/00040XC22
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Yicong Li, Xiang Wang, Junbin Xiao, Tat-Seng Chua:
Equivariant and Invariant Grounding for Video Question Answering. ACM Multimedia 2022: 4714-4722
[c422]
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  - conf/mm/ZhuLFWZC22
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Fengbin Zhu, Wenqiang Lei, Fuli Feng, Chao Wang, Haozhou Zhang, Tat-Seng Chua:
Towards Complex Document Understanding By Discrete Reasoning. ACM Multimedia 2022: 4857-4866
[c421]
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  - conf/mm/YeLLC22
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Chenchen Ye, Lizi Liao, Suyu Liu, Tat-Seng Chua:
Reflecting on Experiences for Response Generation. ACM Multimedia 2022: 5265-5273
[c420]
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Xuemeng Song, Jingjing Chen, Federico Becattini, Weili Guan, Yibing Zhan, Tat-Seng Chua:
MCFR'22: 1st Workshop on Multimedia Computing towards Fashion Recommendation. ACM Multimedia 2022: 7416-7417
[c419]
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Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Fei Li, Libo Qin, Meishan Zhang, Min Zhang, Tat-Seng Chua:
LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model. NeurIPS 2022
[c418]
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An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua:
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering. NeurIPS 2022
[c417]
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  - conf/sigir/YeLF0C22
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Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji, Tat-Seng Chua:
Structured and Natural Responses Co-generation for Conversational Search. SIGIR 2022: 155-164
[c416]
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Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua:
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. SIGIR 2022: 212-222
[c415]
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  - conf/sigir/WangFNC22
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Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua:
User-controllable Recommendation Against Filter Bubbles. SIGIR 2022: 1251-1261
[c414]
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  - conf/sp/ZengWLCLCC22
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Jun Zeng, Xiang Wang, Jiahao Liu, Yinfang Chen, Zhenkai Liang, Tat-Seng Chua, Zheng Leong Chua:
SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records. SP 2022: 489-506
[c413]
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  - conf/www/ZhangYYLFZC022
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Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation. WWW 2022: 2216-2226
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Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Min Lin, Tat-Seng Chua:
Causal Representation Learning for Out-of-Distribution Recommendation. WWW 2022: 3562-3571
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Xuemeng Song, Jingjing Chen, Federico Becattini, Weili Guan, Yibing Zhan, Tat-Seng Chua:
MCFR@MM 2022: Proceedings of the 1st Workshop on Multimedia Computing towards Fashion Recommendation, Lisboa, Portugal, 14 October 2022. ACM 2022, ISBN 978-1-4503-9498-7 [contents]
[i138]
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Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua:
Training Free Graph Neural Networks for Graph Matching. CoRR abs/2201.05349 (2022)
[i137]
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Yuting Yang, Wenqiang Lei, Juan Cao, Jintao Li, Tat-Seng Chua:
Prompt Learning for Few-Shot Dialogue State Tracking. CoRR abs/2201.05780 (2022)
[i136]
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Ying-Xin Wu, Xiang Wang, An Zhang, Xia Hu, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Deconfounding to Explanation Evaluation in Graph Neural Networks. CoRR abs/2201.08802 (2022)
[i135]
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  - journals/corr/abs-2201-12872
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Ying-Xin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua:
Discovering Invariant Rationales for Graph Neural Networks. CoRR abs/2201.12872 (2022)
[i134]
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  - journals/corr/abs-2202-10842
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Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua:
KuaiRec: A Fully-observed Dataset for Recommender Systems. CoRR abs/2202.10842 (2022)
[i133]
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  - journals/corr/abs-2203-01225
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Yaoyao Zhong, Wei Ji, Junbin Xiao, Yicong Li, Weihong Deng, Tat-Seng Chua:
Video Question Answering: Datasets, Algorithms and Challenges. CoRR abs/2203.01225 (2022)
[i132]
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  - journals/corr/abs-2203-11654
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Ao Zhang, Yuan Yao, Qianyu Chen, Wei Ji, Zhiyuan Liu, Maosong Sun, Tat-Seng Chua:
Fine-Grained Scene Graph Generation with Data Transfer. CoRR abs/2203.11654 (2022)
[i131]
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  - journals/corr/abs-2204-06923
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Yang Deng, Wenxuan Zhang, Weiwen Xu, Wenqiang Lei, Tat-Seng Chua, Wai Lam:
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems. CoRR abs/2204.06923 (2022)
[i130]
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  - journals/corr/abs-2204-07433
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Wenqiang Lei, Yao Zhang, Feifan Song, Hongru Liang, Jiaxin Mao, Jiancheng Lv, Zhenglu Yang, Tat-Seng Chua:
Interacting with Non-Cooperative User: A New Paradigm for Proactive Dialogue Policy. CoRR abs/2204.07433 (2022)
[i129]
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  - journals/corr/abs-2204-08381
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Tingyu Wang, Zhedong Zheng, Yaoqi Sun, Tat-Seng Chua, Yi Yang, Chenggang Yan:
Multiple-environment Self-adaptive Network for Aerial-view Geo-localization. CoRR abs/2204.08381 (2022)
[i128]
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  - journals/corr/abs-2204-11028
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Xiang Wang, Ying-Xin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Reinforced Causal Explainer for Graph Neural Networks. CoRR abs/2204.11028 (2022)
[i127]
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Zhedong Zheng, Jiayin Zhu, Wei Ji, Yi Yang, Tat-Seng Chua:
3D Magic Mirror: Clothing Reconstruction from a Single Image via a Causal Perspective. CoRR abs/2204.13096 (2022)
[i126]
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Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua:
User-controllable Recommendation Against Filter Bubbles. CoRR abs/2204.13844 (2022)
[i125]
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  - journals/corr/abs-2205-11169
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Yuan Yao, Qianyu Chen, Ao Zhang, Wei Ji, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
PEVL: Position-enhanced Pre-training and Prompt Tuning for Vision-language Models. CoRR abs/2205.11169 (2022)
[i124]
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Yu Wang, An Zhang, Xiang Wang, Xiangnan He, Tat-Seng Chua:
Differentiable Invariant Causal Discovery. CoRR abs/2205.15638 (2022)
[i123]
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  - journals/corr/abs-2206-00242
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Yunshan Ma, Yingzhi He, An Zhang, Xiang Wang, Tat-Seng Chua:
CrossCBR: Cross-view Contrastive Learning for Bundle Recommendation. CoRR abs/2206.00242 (2022)
[i122]
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Yicong Li, Xiang Wang, Junbin Xiao, Wei Ji, Tat-Seng Chua:
Invariant Grounding for Video Question Answering. CoRR abs/2206.02349 (2022)
[i121]
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  - journals/corr/abs-2206-06890
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Fengbin Zhu, Chao Wang, Wenqiang Lei, Ziyang Liu, Tat-Seng Chua:
RDU: A Region-based Approach to Form-style Document Understanding. CoRR abs/2206.06890 (2022)
[i120]
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Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua:
Let Invariant Rationale Discovery Inspire Graph Contrastive Learning. CoRR abs/2206.07869 (2022)
[i119]
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Xufeng Qian, Yue Xu, Fuyu Lv, Shengyu Zhang, Ziwen Jiang, Qingwen Liu, Xiaoyi Zeng, Tat-Seng Chua, Fei Wu:
Intelligent Request Strategy Design in Recommender System. CoRR abs/2206.12296 (2022)
[i118]
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Junbin Xiao, Pan Zhou, Tat-Seng Chua, Shuicheng Yan:
Video Graph Transformer for Video Question Answering. CoRR abs/2207.05342 (2022)
[i117]
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  - journals/corr/abs-2207-06057
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Jian Ma, Zhedong Zheng, Hao Fei, Feng Zheng, Tat-Seng Chua, Yi Yang:
Subband-based Generative Adversarial Network for Non-parallel Many-to-many Voice Conversion. CoRR abs/2207.06057 (2022)
[i116]
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Fengbin Zhu, Wenqiang Lei, Fuli Feng, Chao Wang, Haozhou Zhang, Tat-Seng Chua:
Towards Complex Document Understanding By Discrete Reasoning. CoRR abs/2207.11871 (2022)
[i115]
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  - journals/corr/abs-2207-12783
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Yicong Li, Xiang Wang, Junbin Xiao, Tat-Seng Chua:
Equivariant and Invariant Grounding for Video Question Answering. CoRR abs/2207.12783 (2022)
[i114]
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  - journals/corr/abs-2208-08011
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Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation. CoRR abs/2208.08011 (2022)
[i113]
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  - journals/corr/abs-2208-08024
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Shengyu Zhang, Bofang Li, Dong Yao, Fuli Feng, Jieming Zhu, Wenyan Fan, Zhou Zhao, Xiaofei He, Tat-Seng Chua, Fei Wu:
CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation. CoRR abs/2208.08024 (2022)
[i112]
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  - journals/corr/abs-2210-08697
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Weiwen Xu, Yang Deng, Wenqiang Lei, Wenlong Zhao, Tat-Seng Chua, Wai Lam:
ConReader: Exploring Implicit Relations in Contracts for Contract Clause Extraction. CoRR abs/2210.08697 (2022)
[i111]
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Yang Deng, Wenqiang Lei, Wenxuan Zhang, Wai Lam, Tat-Seng Chua:
PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance. CoRR abs/2210.08817 (2022)
[i110]
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  - journals/corr/abs-2210-11054
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An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua:
Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering. CoRR abs/2210.11054 (2022)
[i109]
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  - journals/corr/abs-2211-00385
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Jianwu Fang, Fan Wang, Peining Shen, Zhedong Zheng, Jianru Xue, Tat-Seng Chua:
Behavioral Intention Prediction in Driving Scenes: A Survey. CoRR abs/2211.00385 (2022)
[i108]
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  - journals/corr/abs-2211-05705
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Bobo Li, Hao Fei, Fei Li, Yuhan Wu, Jinsong Zhang, Shengqiong Wu, Jingye Li, Yijiang Liu, Lizi Liao, Tat-Seng Chua, Donghong Ji:
DiaASQ : A Benchmark of Conversational Aspect-based Sentiment Quadruple Analysis. CoRR abs/2211.05705 (2022)
[i107]
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  - journals/corr/abs-2211-07394
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Yiyang Chen, Zhedong Zheng, Wei Ji, Leigang Qu, Tat-Seng Chua:
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization. CoRR abs/2211.07394 (2022)
[i106]
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  - journals/corr/abs-2211-07609
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Mu Chen, Zhedong Zheng, Yi Yang, Tat-Seng Chua:
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic Segmentation. CoRR abs/2211.07609 (2022)
[i105]
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  - journals/corr/abs-2211-10973
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Peng Qi, Yuyan Bu, Juan Cao, Wei Ji, Ruihao Shui, Junbin Xiao, Danding Wang, Tat-Seng Chua:
FakeSV: A Multimodal Benchmark with Rich Social Context for Fake News Detection on Short Video Platforms. CoRR abs/2211.10973 (2022)
[i104]
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  - journals/corr/abs-2211-12054
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Yuan Yao, Tianyu Yu, Ao Zhang, Mengdi Li, Ruobing Xie, Cornelius Weber, Zhiyuan Liu, Haitao Zheng, Stefan Wermter, Tat-Seng Chua, Maosong Sun:
Visually Grounded Commonsense Knowledge Acquisition. CoRR abs/2211.12054 (2022)
[i103]
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  - journals/corr/abs-2212-09381
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Jianwu Fang, Lei-Lei Li, Kuan Yang, Zhedong Zheng, Jianru Xue, Tat-Seng Chua:
Cognitive Accident Prediction in Driving Scenes: A Multimodality Benchmark. CoRR abs/2212.09381 (2022)
[i102]
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  - journals/corr/abs-2212-10046
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Yinwei Wei, Xiang Wang, Liqiang Nie, Shaoyu Li, Dingxian Wang, Tat-Seng Chua:
Causal Inference for Knowledge Graph based Recommendation. CoRR abs/2212.10046 (2022)
[i101]
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  - journals/corr/abs-2212-13163
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Wei Ji, Long Chen, Yinwei Wei, Yiming Wu, Tat-Seng Chua:
MRTNet: Multi-Resolution Temporal Network for Video Sentence Grounding. CoRR abs/2212.13163 (2022)
2021
[j155]
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  - journals/aiopen/GaoLHRC21
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Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Advances and challenges in conversational recommender systems: A survey. AI Open 2: 100-126 (2021)
[j154]
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Qianwen Cao, Heyan Huang, Xindi Shang, Boran Wang, Tat-Seng Chua:
3-D Relation Network for visual relation recognition in videos. Neurocomputing 432: 91-100 (2021)
[j153]
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  - journals/tacl/LiaoLMLC21
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Lizi Liao, Le Hong Long, Yunshan Ma, Wenqiang Lei, Tat-Seng Chua:
Dialogue State Tracking with Incremental Reasoning. Trans. Assoc. Comput. Linguistics 9: 557-569 (2021)
[j152]
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  - journals/tip/ChenZNCJ21
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Jingjing Chen, Bin Zhu, Chong-Wah Ngo, Tat-Seng Chua, Yu-Gang Jiang:
A Study of Multi-Task and Region-Wise Deep Learning for Food Ingredient Recognition. IEEE Trans. Image Process. 30: 1514-1526 (2021)
[j151]
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Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua:
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure. IEEE Trans. Knowl. Data Eng. 33(6): 2493-2504 (2021)
[j150]
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Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song, Depeng Jin:
Learning to Recommend With Multiple Cascading Behaviors. IEEE Trans. Knowl. Data Eng. 33(6): 2588-2601 (2021)
[j149]
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Liangming Pan, Jingjing Chen, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Tat-Seng Chua:
A Hybrid Approach for Detecting Prerequisite Relations in Multi-Modal Food Recipes. IEEE Trans. Multim. 23: 4491-4501 (2021)
[j148]
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Yaoyao Liu, Qianru Sun, Xiangnan He, An-An Liu, Yuting Su, Tat-Seng Chua:
Generating Face Images With Attributes for Free. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2733-2743 (2021)
[j147]
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Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua:
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-start Users. ACM Trans. Inf. Syst. 39(4): 40:1-40:29 (2021)
[c411]
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  - conf/aaai/LeiMXWLCC21
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Wenqiang Lei, Yisong Miao, Runpeng Xie, Bonnie Webber, Meichun Liu, Tat-Seng Chua, Nancy F. Chen:
Have We Solved The Hard Problem? It's Not Easy! Contextual Lexical Contrast as a Means to Probe Neural Coherence. AAAI 2021: 13208-13216
[c410]
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  - conf/aaai/QianFWC21
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Chen Qian, Fuli Feng, Lijie Wen, Tat-Seng Chua:
Conceptualized and Contextualized Gaussian Embedding. AAAI 2021: 13683-13691
[c409]
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  - conf/acl/FengZHZC21
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Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Empowering Language Understanding with Counterfactual Reasoning. ACL/IJCNLP (Findings) 2021: 2226-2236
[c408]
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  - conf/acl/ZhuLHWZLFC20
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Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua:
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. ACL/IJCNLP (1) 2021: 3277-3287
[c407]
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  - conf/acl/Hu0HC20
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Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua:
How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction. ACL/IJCNLP (1) 2021: 4662-4671
[c406]
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  - conf/cvpr/ZhaoCL21
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Na Zhao, Tat-Seng Chua, Gim Hee Lee:
Few-Shot 3D Point Cloud Semantic Segmentation. CVPR 2021: 8873-8882
[c405]
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  - conf/cvpr/XiaoSYC21
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Junbin Xiao, Xindi Shang, Angela Yao, Tat-Seng Chua:
NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions. CVPR 2021: 9777-9786
[c404]
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  - conf/icaif/FengRW0C21
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Fuli Feng, Xilin Rui, Wenjie Wang, Yixin Cao, Tat-Seng Chua:
Pre-training and evaluation of numeracy-oriented language model. ICAIF 2021: 47:1-47:8
[c403]
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Fuli Feng, Xiang Wang, Xiangnan He, Ritchie Ng, Tat-Seng Chua:
Time horizon-aware modeling of financial texts for stock price prediction. ICAIF 2021: 51:1-51:8
[c402]
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  - conf/kdd/WangF0WC21
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Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua:
Deconfounded Recommendation for Alleviating Bias Amplification. KDD 2021: 1717-1725
[c401]
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  - conf/mir/DingMWC21
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Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua:
Leveraging Two Types of Global Graph for Sequential Fashion Recommendation. ICMR 2021: 73-81
[c400]
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  - conf/mir/MaDYLWCMS21
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Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua, Jinyoung Moon, Hong-Han Shuai:
Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting. ICMR 2021: 615-618
[c399]
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Yingxu He, Lizi Liao, Zheng Zhang, Tat-Seng Chua:
Towards Enriching Responses with Crowd-sourced Knowledge for Task-oriented Dialogue. MuCAI @ ACM Multimedia 2021: 3-11
[c398]
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João Magalhães, Tat-Seng Chua, Tao Mei, Alan F. Smeaton:
The Next Generation Multimodal Conversational Search and Recommendation. ACM Multimedia 2021: 953-954
[c397]
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Xindi Shang, Yicong Li, Junbin Xiao, Wei Ji, Tat-Seng Chua:
Video Visual Relation Detection via Iterative Inference. ACM Multimedia 2021: 3654-3663
[c396]
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  - conf/mm/XunZZZZLH0C021
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Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu:
Why Do We Click: Visual Impression-aware News Recommendation. ACM Multimedia 2021: 3881-3890
[c395]
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  - conf/mm/LiYSC21
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Yicong Li, Xun Yang, Xindi Shang, Tat-Seng Chua:
Interventional Video Relation Detection. ACM Multimedia 2021: 4091-4099
[c394]
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  - conf/mm/JiLWSXRC21
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Wei Ji, Yicong Li, Meng Wei, Xindi Shang, Junbin Xiao, Tongwei Ren, Tat-Seng Chua:
VidVRD 2021: The Third Grand Challenge on Video Relation Detection. ACM Multimedia 2021: 4779-4783
[c393]
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  - conf/mm/BinSPDC21
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Yi Bin, Xindi Shang, Bo Peng, Yujuan Ding, Tat-Seng Chua:
Multi-Perspective Video Captioning. ACM Multimedia 2021: 5110-5118
[c392]
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  - conf/mm/WeiWLNLLC21
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Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua:
Contrastive Learning for Cold-Start Recommendation. ACM Multimedia 2021: 5382-5390
[c391]
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  - conf/mm/RudinacBCLGA21
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Stevan Rudinac, Alessandro Bozzon, Tat-Seng Chua, Suzanne Little, Daniel Gatica-Perez, Kiyoharu Aizawa:
UrbanMM'21: 1st International Workshop on Multimedia Computing for Urban Data. ACM Multimedia 2021: 5696-5697
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  - conf/naacl/LiuYSYC21
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Zhenghao Liu, Xiaoyuan Yi, Maosong Sun, Liner Yang, Tat-Seng Chua:
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction. NAACL-HLT 2021: 5441-5452
[c389]
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Xiang Wang, Ying-Xin Wu, An Zhang, Xiangnan He, Tat-Seng Chua:
Towards Multi-Grained Explainability for Graph Neural Networks. NeurIPS 2021: 18446-18458
[c388]
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  - conf/sigir/YangFJWC21
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Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua:
Deconfounded Video Moment Retrieval with Causal Intervention. SIGIR 2021: 1-10
[c387]
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Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua:
Hybrid Learning to Rank for Financial Event Ranking. SIGIR 2021: 233-243
[c386]
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  - conf/sigir/ZhangYZC021
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Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation. SIGIR 2021: 367-377
[c385]
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Lizi Liao, Le Hong Long, Zheng Zhang, Minlie Huang, Tat-Seng Chua:
MMConv: An Environment for Multimodal Conversational Search across Multiple Domains. SIGIR 2021: 675-684
[c384]
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Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua:
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. SIGIR 2021: 1208-1218
[c383]
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  - conf/sigir/WangF0ZC21
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Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue. SIGIR 2021: 1288-1297
[c382]
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  - conf/wsdm/WangF0NC21
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Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Denoising Implicit Feedback for Recommendation. WSDM 2021: 373-381
[c381]
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  - conf/www/WangHWYL0C21
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Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua:
Learning Intents behind Interactions with Knowledge Graph for Recommendation. WWW 2021: 878-887
[c380]
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  - conf/www/LiaoZLC21
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Lizi Liao, Tongyao Zhu, Le Hong Long, Tat-Seng Chua:
Multi-domain Dialogue State Tracking with Recursive Inference. WWW 2021: 2568-2577
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  - conf/mm/2021urbanmm
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Stevan Rudinac, Alessandro Bozzon, Tat-Seng Chua, Suzanne Little, Daniel Gatica-Perez, Kiyoharu Aizawa:
UrbanMM'21: Proceedings of the 1st International Workshop on Multimedia Computing for Urban Data, Virtual Event, China, 20 October 2021. ACM 2021, ISBN 978-1-4503-8669-2 [contents]
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Tat-Seng Chua, Jingdong Wang, Qi Tian, Cathal Gurrin, Jia Jia, Hanwang Zhang, Qianru Sun:
MMAsia 2020: ACM Multimedia Asia, Virtual Event / Singapore, 7-9 March, 2021. ACM 2021, ISBN 978-1-4503-8308-0 [contents]
[i100]
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Fengbin Zhu, Wenqiang Lei, Chao Wang, Jianming Zheng, Soujanya Poria, Tat-Seng Chua:
Retrieving and Reading: A Comprehensive Survey on Open-domain Question Answering. CoRR abs/2101.00774 (2021)
[i99]
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  - journals/corr/abs-2101-09459
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Chongming Gao, Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Advances and Challenges in Conversational Recommender Systems: A Survey. CoRR abs/2101.09459 (2021)
[i98]
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  - journals/corr/abs-2102-07057
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Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua:
Learning Intents behind Interactions with Knowledge Graph for Recommendation. CoRR abs/2102.07057 (2021)
[i97]
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  - journals/corr/abs-2104-05527
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An Zhang, Xiang Wang, Chengfang Fang, Jie Shi, Tat-Seng Chua, Zehua Chen:
A-FMI: Learning Attributions from Deep Networks via Feature Map Importance. CoRR abs/2104.05527 (2021)
[i96]
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  - journals/corr/abs-2105-03299
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Yujuan Ding, Yunshan Ma, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Leveraging Multiple Relations for Fashion Trend Forecasting Based on Social Media. CoRR abs/2105.03299 (2021)
[i95]
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  - journals/corr/abs-2105-04443
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Zhenghao Liu, Xiaoyuan Yi, Maosong Sun, Liner Yang, Tat-Seng Chua:
Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction. CoRR abs/2105.04443 (2021)
[i94]
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  - journals/corr/abs-2105-07585
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Yujuan Ding, Yunshan Ma, Wai Keung Wong, Tat-Seng Chua:
Leveraging Two Types of Global Graph for Sequential Fashion Recommendation. CoRR abs/2105.07585 (2021)
[i93]
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  - journals/corr/abs-2105-07624
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Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua:
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. CoRR abs/2105.07624 (2021)
[i92]
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  - journals/corr/abs-2105-08276
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Junbin Xiao, Xindi Shang, Angela Yao, Tat-Seng Chua:
NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions. CoRR abs/2105.08276 (2021)
[i91]
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  - journals/corr/abs-2105-10648
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Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua:
Deconfounded Recommendation for Alleviating Bias Amplification. CoRR abs/2105.10648 (2021)
[i90]
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  - journals/corr/abs-2105-11826
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Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua, Jinyoung Moon, Hong-Han Shuai:
Reproducibility Companion Paper: Knowledge Enhanced Neural Fashion Trend Forecasting. CoRR abs/2105.11826 (2021)
[i89]
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  - journals/corr/abs-2106-01534
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Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua:
Deconfounded Video Moment Retrieval with Causal Intervention. CoRR abs/2106.01534 (2021)
[i88]
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  - journals/corr/abs-2106-03046
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Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Empowering Language Understanding with Counterfactual Reasoning. CoRR abs/2106.03046 (2021)
[i87]
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  - journals/corr/abs-2106-16125
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Sicheng Zhao, Xingxu Yao, Jufeng Yang, Guoli Jia, Guiguang Ding, Tat-Seng Chua, Björn W. Schuller, Kurt Keutzer:
Affective Image Content Analysis: Two Decades Review and New Perspectives. CoRR abs/2106.16125 (2021)
[i86]
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  - journals/corr/abs-2107-05315
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Yinwei Wei, Xiang Wang, Qi Li, Liqiang Nie, Yan Li, Xuanping Li, Tat-Seng Chua:
Contrastive Learning for Cold-Start Recommendation. CoRR abs/2107.05315 (2021)
[i85]
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  - journals/corr/abs-2107-12064
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Zikun Hu, Yixin Cao, Lifu Huang, Tat-Seng Chua:
How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction. CoRR abs/2107.12064 (2021)
[i84]
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  - journals/corr/abs-2109-05261
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Shengyu Zhang, Dong Yao, Zhou Zhao, Tat-Seng Chua, Fei Wu:
CauseRec: Counterfactual User Sequence Synthesis for Sequential Recommendation. CoRR abs/2109.05261 (2021)
[i83]
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  - journals/corr/abs-2109-11797
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Yuan Yao, Ao Zhang, Zhengyan Zhang, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun:
CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models. CoRR abs/2109.11797 (2021)
[i82]
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  - journals/corr/abs-2109-12651
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Jiahao Xun, Shengyu Zhang, Zhou Zhao, Jieming Zhu, Qi Zhang, Jingjie Li, Xiuqiang He, Xiaofei He, Tat-Seng Chua, Fei Wu:
Why Do We Click: Visual Impression-aware News Recommendation. CoRR abs/2109.12651 (2021)
[i81]
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  - journals/corr/abs-2110-14925
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Yinwei Wei, Xiang Wang, Xiangnan He, Liqiang Nie, Yong Rui, Tat-Seng Chua:
Hierarchical User Intent Graph Network forMultimedia Recommendation. CoRR abs/2110.14925 (2021)
[i80]
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  - journals/corr/abs-2111-02036
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Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. CoRR abs/2111.02036 (2021)
[i79]
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  - journals/corr/abs-2112-01160
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Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Learning Robust Recommender from Noisy Implicit Feedback. CoRR abs/2112.01160 (2021)
[i78]
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  - journals/corr/abs-2112-05375
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Meng Wei, Long Chen, Wei Ji, Xiaoyu Yue, Tat-Seng Chua:
Rethinking the Two-Stage Framework for Grounded Situation Recognition. CoRR abs/2112.05375 (2021)
[i77]
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  - journals/corr/abs-2112-06197
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Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, Tat-Seng Chua:
Video as Conditional Graph Hierarchy for Multi-Granular Question Answering. CoRR abs/2112.06197 (2021)
[i76]
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  - journals/corr/abs-2112-15089
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Yongduo Sui, Xiang Wang, Jiancan Wu, Xiangnan He, Tat-Seng Chua:
Deconfounded Training for Graph Neural Networks. CoRR abs/2112.15089 (2021)
2020
[j146]
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  - journals/ijmir/OerlemansGLC20
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Ard Oerlemans, Yanming Guo, Michael S. Lew, Tat-Seng Chua:
Special issue on deep learning in image and video retrieval. Int. J. Multim. Inf. Retr. 9(2): 61-62 (2020)
[j145]
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Zhulin Tao, Yinwei Wei, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua:
MGAT: Multimodal Graph Attention Network for Recommendation. Inf. Process. Manag. 57(5): 102277 (2020)
[j144]
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Zhulin Tao, Xiang Wang, Xiangnan He, Xianglin Huang, Tat-Seng Chua:
HoAFM: A High-order Attentive Factorization Machine for CTR Prediction. Inf. Process. Manag. 57(6): 102076 (2020)
[j143]
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  - journals/tcsv/PengLFZCL20
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Bo Peng, Jianjun Lei, Huazhu Fu, Changqing Zhang, Tat-Seng Chua, Xuelong Li:
Unsupervised Video Action Clustering via Motion-Scene Interaction Constraint. IEEE Trans. Circuits Syst. Video Technol. 30(1): 131-144 (2020)
[j142]
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  - journals/tkde/TangDHYTC20
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Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, Tat-Seng Chua:
Adversarial Training Towards Robust Multimedia Recommender System. IEEE Trans. Knowl. Data Eng. 32(5): 855-867 (2020)
[j141]
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Xiaoyan Gao, Fuli Feng, Xiangnan He, Heyan Huang, Xinyu Guan, Chong Feng, Zhaoyan Ming, Tat-Seng Chua:
Hierarchical Attention Network for Visually-Aware Food Recommendation. IEEE Trans. Multim. 22(6): 1647-1659 (2020)
[j140]
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Xiangnan He, Jinhui Tang, Xiaoyu Du, Richang Hong, Tongwei Ren, Tat-Seng Chua:
Fast Matrix Factorization With Nonuniform Weights on Missing Data. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2791-2804 (2020)
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Francesco Gelli, Tiberio Uricchio, Xiangnan He, Alberto Del Bimbo, Tat-Seng Chua:
Learning Visual Elements of Images for Discovery of Brand Posts. ACM Trans. Multim. Comput. Commun. Appl. 16(2): 56:1-56:21 (2020)
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Tiancheng Shen, Jia Jia, Yan Li, Yihui Ma, Yaohua Bu, Hanjie Wang, Bo Chen, Tat-Seng Chua, Wendy Hall:
PEIA: Personality and Emotion Integrated Attentive Model for Music Recommendation on Social Media Platforms. AAAI 2020: 206-213
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Haozhe Wu, Zhiyuan Hu, Jia Jia, Yaohua Bu, Xiangnan He, Tat-Seng Chua:
Mining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction. AAAI 2020: 254-261
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Chuang Lin, Sicheng Zhao, Lei Meng, Tat-Seng Chua:
Multi-Source Domain Adaptation for Visual Sentiment Classification. AAAI 2020: 2661-2668
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Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua:
Solving Sequential Text Classification as Board-Game Playing. AAAI 2020: 8640-8648
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Meihan Tong, Shuai Wang, Yixin Cao, Bin Xu, Juanzi Li, Lei Hou, Tat-Seng Chua:
Image Enhanced Event Detection in News Articles. AAAI 2020: 9040-9047
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Jingjing Chen, Liangming Pan, Zhipeng Wei, Xiang Wang, Chong-Wah Ngo, Tat-Seng Chua:
Zero-Shot Ingredient Recognition by Multi-Relational Graph Convolutional Network. AAAI 2020: 10542-10550
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Zhipeng Wei, Jingjing Chen, Xingxing Wei, Linxi Jiang, Tat-Seng Chua, Fengfeng Zhou, Yu-Gang Jiang:
Heuristic Black-Box Adversarial Attacks on Video Recognition Models. AAAI 2020: 12338-12345
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Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua:
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. ACL 2020: 1061-1071
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Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
Semantic Graphs for Generating Deep Questions. ACL 2020: 1463-1475
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Shaoteng Liu, Jingjing Chen, Liangming Pan, Chong-Wah Ngo, Tat-Seng Chua, Yu-Gang Jiang:
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition. CVPR 2020: 9270-9278
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Na Zhao, Tat-Seng Chua, Gim Hee Lee:
SESS: Self-Ensembling Semi-Supervised 3D Object Detection. CVPR 2020: 11076-11084
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Junbin Xiao, Xindi Shang, Xun Yang, Sheng Tang, Tat-Seng Chua:
Visual Relation Grounding in Videos. ECCV (6) 2020: 447-464
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Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Tat-Seng Chua:
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. EMNLP (1) 2020: 6355-6364
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Wenqiang Lei, Weixin Wang, Zhixin Ma, Tian Gan, Wei Lu, Min-Yen Kan, Tat-Seng Chua:
Re-examining the Role of Schema Linking in Text-to-SQL. EMNLP (1) 2020: 6943-6954
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Na Zhao, Tat-Seng Chua, Gim Hee Lee:
PS2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation. ICPR 2020: 723-730
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Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang:
Learning Goal-oriented Dialogue Policy with opposite Agent Awareness. AACL/IJCNLP 2020: 122-132
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Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua:
Interactive Path Reasoning on Graph for Conversational Recommendation. KDD 2020: 2073-2083
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Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Knowledge Enhanced Neural Fashion Trend Forecasting. ICMR 2020: 82-90
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Hongru Liang, Wenqiang Lei, Paul Yaozhu Chan, Zhenglu Yang, Maosong Sun, Tat-Seng Chua:
PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music. ACM Multimedia 2020: 574-582
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Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua:
Multi-modal Cooking Workflow Construction for Food Recipes. ACM Multimedia 2020: 1132-1141
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Zixuan Su, Xindi Shang, Jingjing Chen, Yu-Gang Jiang, Zhiyong Qiu, Tat-Seng Chua:
Video Relation Detection via Multiple Hypothesis Association. ACM Multimedia 2020: 3127-3135
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Lei Meng, Fuli Feng, Xiangnan He, Xiaoyan Gao, Tat-Seng Chua:
Heterogeneous Fusion of Semantic and Collaborative Information for Visually-Aware Food Recommendation. ACM Multimedia 2020: 3460-3468
[c357]
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Xiaoyu Du, Xiang Wang, Xiangnan He, Zechao Li, Jinhui Tang, Tat-Seng Chua:
How to Learn Item Representation for Cold-Start Multimedia Recommendation? ACM Multimedia 2020: 3469-3477
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  - conf/mm/WeiWN0C20
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Yinwei Wei, Xiang Wang, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback. ACM Multimedia 2020: 3541-3549
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Kun Liu, Minzhi Zhu, Huiyuan Fu, Huadong Ma, Tat-Seng Chua:
Enhancing Anomaly Detection in Surveillance Videos with Transfer Learning from Action Recognition. ACM Multimedia 2020: 4664-4668
[c354]
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Lizi Liao, Lyndon Kennedy, Lynn Wilcox, Tat-Seng Chua:
Crowd Knowledge Enhanced Multimodal Conversational Assistant in Travel Domain. MMM (1) 2020: 405-418
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Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, Christian Theobalt:
Neural Sparse Voxel Fields. NeurIPS 2020
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Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua:
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. SIGIR 2020: 159-168
[c351]
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Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua:
Disentangled Graph Collaborative Filtering. SIGIR 2020: 1001-1010
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Chen Qian, Fuli Feng, Lijie Wen, Li Lin, Tat-Seng Chua:
Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms. SIGIR 2020: 1201-1210
[c349]
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Xun Yang, Jianfeng Dong, Yixin Cao, Xun Wang, Meng Wang, Tat-Seng Chua:
Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval. SIGIR 2020: 1339-1348
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  - conf/sigir/Lei0RC20
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Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua:
Conversational Recommendation: Formulation, Methods, and Evaluation. SIGIR 2020: 2425-2428
[c347]
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Fuli Feng, Cheng Luo, Xiangnan He, Yiqun Liu, Tat-Seng Chua:
FinIR 2020: The First Workshop on Information Retrieval in Finance. SIGIR 2020: 2451-2454
[c346]
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Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua:
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. WSDM 2020: 304-312
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Xiang Wang, Xiangnan He, Tat-Seng Chua:
Learning and Reasoning on Graph for Recommendation. WSDM 2020: 890-893
[c344]
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  - conf/www/WangX000C20
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Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua:
Reinforced Negative Sampling over Knowledge Graph for Recommendation. WWW 2020: 99-109
[i75]
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  - journals/corr/abs-2001-03886
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Chuang Lin, Sicheng Zhao, Lei Meng, Tat-Seng Chua:
Multi-source Domain Adaptation for Visual Sentiment Classification. CoRR abs/2001.03886 (2020)
[i74]
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  - journals/corr/abs-2002-09102
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Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua:
Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems. CoRR abs/2002.09102 (2020)
[i73]
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  - journals/corr/abs-2003-02587
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Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions. CoRR abs/2003.02587 (2020)
[i72]
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Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua:
Reinforced Negative Sampling over Knowledge Graph for Recommendation. CoRR abs/2003.05753 (2020)
[i71]
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  - journals/corr/abs-2004-09731
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Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang:
Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness. CoRR abs/2004.09731 (2020)
[i70]
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  - journals/corr/abs-2004-12704
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Liangming Pan, Yuxi Xie, Yansong Feng, Tat-Seng Chua, Min-Yen Kan:
Semantic Graphs for Generating Deep Questions. CoRR abs/2004.12704 (2020)
[i69]
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  - journals/corr/abs-2005-00701
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Yixin Cao, Ruihao Shui, Liangming Pan, Min-Yen Kan, Zhiyuan Liu, Tat-Seng Chua:
Expertise Style Transfer: A New Task Towards Better Communication between Experts and Laymen. CoRR abs/2005.00701 (2020)
[i68]
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  - journals/corr/abs-2005-03297
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Yunshan Ma, Yujuan Ding, Xun Yang, Lizi Liao, Wai Keung Wong, Tat-Seng Chua:
Knowledge Enhanced Neural Fashion Trend Forecasting. CoRR abs/2005.03297 (2020)
[i67]
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  - journals/corr/abs-2005-12566
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Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua:
Hierarchical Fashion Graph Network for Personalized Outfit Recommendation. CoRR abs/2005.12566 (2020)
[i66]
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  - journals/corr/abs-2005-12979
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Shijun Li, Wenqiang Lei, Qingyun Wu, Xiangnan He, Peng Jiang, Tat-Seng Chua:
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start Users. CoRR abs/2005.12979 (2020)
[i65]
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  - journals/corr/abs-2006-04153
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Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Denoising Implicit Feedback for Recommendation. CoRR abs/2006.04153 (2020)
[i64]
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  - journals/corr/abs-2006-10457
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Kun Liu, Xun Yang, Tat-Seng Chua, Huadong Ma, Chuang Gan:
Language Guided Networks for Cross-modal Moment Retrieval. CoRR abs/2006.10457 (2020)
[i63]
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  - journals/corr/abs-2006-12052
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Na Zhao, Tat-Seng Chua, Gim Hee Lee:
Few-shot 3D Point Cloud Semantic Segmentation. CoRR abs/2006.12052 (2020)
[i62]
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  - journals/corr/abs-2007-00194
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Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua:
Interactive Path Reasoning on Graph for Conversational Recommendation. CoRR abs/2007.00194 (2020)
[i61]
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  - journals/corr/abs-2007-01764
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Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua:
Disentangled Graph Collaborative Filtering. CoRR abs/2007.01764 (2020)
[i60]
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  - journals/corr/abs-2007-02503
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Xun Yang, Jianfeng Dong, Yixin Cao, Xun Wang, Meng Wang, Tat-Seng Chua:
Tree-Augmented Cross-Modal Encoding for Complex-Query Video Retrieval. CoRR abs/2007.02503 (2020)
[i59]
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  - journals/corr/abs-2007-08814
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Junbin Xiao, Xindi Shang, Xun Yang, Sheng Tang, Tat-Seng Chua:
Visual Relation Grounding in Videos. CoRR abs/2007.08814 (2020)
[i58]
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  - journals/corr/abs-2007-11571
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Lingjie Liu, Jiatao Gu, Kyaw Zaw Lin, Tat-Seng Chua, Christian Theobalt:
Neural Sparse Voxel Fields. CoRR abs/2007.11571 (2020)
[i57]
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  - journals/corr/abs-2008-09151
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Liangming Pan, Jingjing Chen, Jianlong Wu, Shaoteng Liu, Chong-Wah Ngo, Min-Yen Kan, Yu-Gang Jiang, Tat-Seng Chua:
Multi-modal Cooking Workflow Construction for Food Recipes. CoRR abs/2008.09151 (2020)
[i56]
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  - journals/corr/abs-2009-09945
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Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
"Click" Is Not Equal to "Like": Counterfactual Recommendation for Mitigating Clickbait Issue. CoRR abs/2009.09945 (2020)
[i55]
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  - journals/corr/abs-2010-03249
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Zhiyuan Liu, Yixin Cao, Liangming Pan, Juanzi Li, Zhiyuan Liu, Tat-Seng Chua:
Exploring and Evaluating Attributes, Values, and Structures for Entity Alignment. CoRR abs/2010.03249 (2020)
[i54]
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  - journals/corr/abs-2010-08091
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Hongru Liang, Wenqiang Lei, Paul Yaozhu Chan, Zhenglu Yang, Maosong Sun, Tat-Seng Chua:
PiRhDy: Learning Pitch-, Rhythm-, and Dynamics-aware Embeddings for Symbolic Music. CoRR abs/2010.08091 (2020)
[i53]
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  - journals/corr/abs-2010-11797
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Fuli Feng, Weiran Huang, Xin Xin, Xiangnan He, Tat-Seng Chua:
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. CoRR abs/2010.11797 (2020)
[i52]
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  - journals/corr/abs-2011-13574
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Yixin Cao, Jun Kuang, Ming Gao, Aoying Zhou, Yonggang Wen, Tat-Seng Chua:
Learning Relation Prototype from Unlabeled Texts for Long-tail Relation Extraction. CoRR abs/2011.13574 (2020)

2010 – 2019

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2019
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Mingxing Zhang, Yang Yang, Hanwang Zhang, Yanli Ji, Heng Tao Shen, Tat-Seng Chua:
More is Better: Precise and Detailed Image Captioning Using Online Positive Recall and Missing Concepts Mining. IEEE Trans. Image Process. 28(1): 32-44 (2019)
[j137]
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Wenlong Xie, Hongxun Yao, Xiaoshuai Sun, Tingting Han, Sicheng Zhao, Tat-Seng Chua:
Discovering Latent Discriminative Patterns for Multi-Mode Event Representation. IEEE Trans. Multim. 21(6): 1425-1436 (2019)
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  - journals/tois/FengHWLLC19
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Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu, Tat-Seng Chua:
Temporal Relational Ranking for Stock Prediction. ACM Trans. Inf. Syst. 37(2): 27:1-27:30 (2019)
[j135]
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  - journals/tois/GuanCHZZPC19
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Xinyu Guan, Zhiyong Cheng, Xiangnan He, Yongfeng Zhang, Zhibo Zhu, Qinke Peng, Tat-Seng Chua:
Attentive Aspect Modeling for Review-Aware Recommendation. ACM Trans. Inf. Syst. 37(3): 28:1-28:27 (2019)
[j134]
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  - journals/tois/DuHYTQC19
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Xiaoyu Du, Xiangnan He, Fajie Yuan, Jinhui Tang, Zhiguang Qin, Tat-Seng Chua:
Modeling Embedding Dimension Correlations via Convolutional Neural Collaborative Filtering. ACM Trans. Inf. Syst. 37(4): 47:1-47:22 (2019)
[j133]
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  - journals/tomccap/HongHC19
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Richang Hong, Yahong Han, Tat-Seng Chua:
Introduction to the Special Issue on the Cross-Media Analysis for Visual Question Answering. ACM Trans. Multim. Comput. Commun. Appl. 15(2s): 48:1-48:3 (2019)
[c343]
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  - conf/aaai/YangMLWC19
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Xun Yang, Yunshan Ma, Lizi Liao, Meng Wang, Tat-Seng Chua:
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling. AAAI 2019: 403-410
[c342]
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  - conf/aaai/WangWX00C19
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Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua:
Explainable Reasoning over Knowledge Graphs for Recommendation. AAAI 2019: 5329-5336
[c341]
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  - conf/aaai/SamborskiiFFC19
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Ivan Samborskii, Aleksandr Farseev, Andrey Filchenkov, Tat-Seng Chua:
A Whole New Ball Game: Harvesting Game Data for Player Profiling. AAAI 2019: 10025-10026
[c340]
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  - conf/acl/ZhuLLFCS19
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Hao Zhu, Yankai Lin, Zhiyuan Liu, Jie Fu, Tat-Seng Chua, Maosong Sun:
Graph Neural Networks with Generated Parameters for Relation Extraction. ACL (1) 2019: 1331-1339
[c339]
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Yixin Cao, Zhiyuan Liu, Chengjiang Li, Zhiyuan Liu, Juanzi Li, Tat-Seng Chua:
Multi-Channel Graph Neural Network for Entity Alignment. ACL (1) 2019: 1452-1461
[c338]
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  - conf/bigmm/DiSZYC19
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Donglin Di, Xindi Shang, Weinan Zhang, Xun Yang, Tat-Seng Chua:
Multiple Hypothesis Video Relation Detection. BigMM 2019: 287-291
[c337]
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Xiaogang Wang, Qianru Sun, Tat-Seng Chua, Marcelo H. Ang Jr.:
Generating Expensive Relationship Features from Cheap Objects. BMVC 2019: 224
[c336]
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  - conf/cea/WangCNCZM19
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Yunan Wang, Jingjing Chen, Chong-Wah Ngo, Tat-Seng Chua, Wanli Zuo, Zhaoyan Ming:
Mixed Dish Recognition through Multi-Label Learning. CEA@ICMR 2019: 1-8
[c335]
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  - conf/cikm/Wang0C19
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Xiang Wang, Xiangnan He, Tat-Seng Chua:
Learning and Reasoning on Graph for Recommendation. CIKM 2019: 2971-2972
[c334]
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  - conf/cvpr/SunLCS19
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Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele:
Meta-Transfer Learning for Few-Shot Learning. CVPR 2019: 403-412
[c333]
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Yixin Cao, Zikun Hu, Tat-Seng Chua, Zhiyuan Liu, Heng Ji:
Low-Resource Name Tagging Learned with Weakly Labeled Data. EMNLP/IJCNLP (1) 2019: 261-270
[c332]
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Wenqiang Lei, Weiwen Xu, Ai Ti Aw, Yuanxin Xiang, Tat-Seng Chua:
Revisit Automatic Error Detection for Wrong and Missing Translation - A Supervised Approach. EMNLP/IJCNLP (1) 2019: 942-952
[c331]
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  - conf/emnlp/LiCHSLC19
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Chengjiang Li, Yixin Cao, Lei Hou, Jiaxin Shi, Juanzi Li, Tat-Seng Chua:
Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model. EMNLP/IJCNLP (1) 2019: 2723-2732
[c330]
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  - conf/icde/Gao0GCFLCJ19
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Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin:
Neural Multi-task Recommendation from Multi-behavior Data. ICDE 2019: 1554-1557
[c329]
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Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua:
Enhancing Stock Movement Prediction with Adversarial Training. IJCAI 2019: 5843-5849
[c328]
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  - conf/kdd/Wang00LC19
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Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua:
KGAT: Knowledge Graph Attention Network for Recommendation. KDD 2019: 950-958
[c327]
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