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ORCIDXiang Wang 0010
Person information
- affiliation: University of Science and Technology of China, CCCD Key Lab of Ministry of Culture and Tourism, Hefei, China
- affiliation (PhD 2019): National University of Singapore, School of Computing, Singapore
Other persons with the same name
- Xiang Wang — disambiguation page
- Xiang Wang 0001 — IBM T. J. Watson Research Center, Yorktown Heights, NY, USA (and 1 more)
- Xiang Wang 0002 — Tsinghua University, School of Software, Beijing, China
- Xiang Wang 0003
![[0000-0002-4903-4960]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4903-4960")
— Tsinghua University, Department of Electronic Engineering, Beijing, China - Xiang Wang 0004 — Xiamen University of Technology, Department of Mechanical and Electrical Engineering, China
- Xiang Wang 0005 — Nankai University, Tianjin, China
- Xiang Wang 0006 — Beihang University, School of Electronic and Information Engineering, Beijing, China
- Xiang Wang 0007 — The University of New South Wales, School of Computer Science and Engineering, Sydney, Australia
- Xiang Wang 0008 — University of Alberta, Department of Electrical and Computer Engineering, Edmonton, AB, Canada
- Xiang Wang 0009 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China (and 1 more)
- Xiang Wang 0011 — Duke University, Department of Computer Science, Durham, NC, USA
- Xiang Wang 0012 — Huazhong University of Science and Technology, Wuhan, China
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2020 – today
- 2024
[j28]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)- [j27]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) - [j26]Yuan Gao, Jinghan Li, Xiang Wang, Xiangnan He, Huamin Feng, Yongdong Zhang:
Revisiting Attack-Caused Structural Distribution Shift in Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. 36(9): 4849-4861 (2024) - [j25]Jingru Duan, Yanbin Hao, Bin Zhu, Lechao Cheng, Pengyuan Zhou, Xiang Wang:
Efficient Unsupervised Video Hashing With Contextual Modeling and Structural Controlling. IEEE Trans. Multim. 26: 7438-7450 (2024) - [j24]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) - [j23]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) - [j22]Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, Tianyu Qiu:
On the Effectiveness of Sampled Softmax Loss for Item Recommendation. ACM Trans. Inf. Syst. 42(4): 98:1-98:26 (2024) - [j21]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) - [c94]Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang:
Text-to-Image Generation for Abstract Concepts. AAAI 2024: 3360-3368 - [c93]Junfeng Fang, Shuai Zhang, Chang Wu, Zhengyi Yang, Zhiyuan Liu, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang:
MolTC: Towards Molecular Relational Modeling In Language Models. ACL (Findings) 2024: 1943-1958 - [c92]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 - [c91]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 - [c90]Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou:
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. ACL (1) 2024: 10230-10258 - [c89]Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang:
BSL: Understanding and Improving Softmax Loss for Recommendation. ICDE 2024: 816-830 - [c88]Yanchen Luo, Sihang Li, Yongduo Sui, Junkang Wu, Jiancan Wu, Xiang Wang:
Masked Graph Modeling with Multi- View Contrast. ICDE 2024: 2584-2597 - [c87]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 - [c86]Kexin Huang, Ziqian Chen, Xue Wang, Chongming Gao, Jinyang Gao, Bolin Ding, Xiang Wang:
Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games. ICML 2024 - [c85]Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, Xiangnan He:
LLaRA: Large Language-Recommendation Assistant. SIGIR 2024: 1785-1795 - [c84]Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke:
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. SIGIR 2024: 1796-1806 - [c83]An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang, Tat-Seng Chua:
On Generative Agents in Recommendation. SIGIR 2024: 1807-1817 - [c82]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 - [c81]Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He:
EXGC: Bridging Efficiency and Explainability in Graph Condensation. WWW 2024: 721-732 - [c80]Chen Gao, Fengli Xu, Xu Chen, Xiang Wang, Xiangnan He, Yong Li:
Simulating Human Society with Large Language Model Agents: City, Social Media, and Economic System. WWW (Companion Volume) 2024: 1290-1293 - [c79]Yongduo Sui, Caizhi Tang, Zhixuan Chu, Junfeng Fang, Yuan Gao, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang:
Invariant Graph Learning for Causal Effect Estimation. WWW 2024: 2552-2562 - [c78]An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang:
General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout. WWW 2024: 3864-3875 - [c77]Yuan Gao, Junfeng Fang, Yongduo Sui, Yangyang Li, Xiang Wang, Huamin Feng, Yongdong Zhang:
Graph Anomaly Detection with Bi-level Optimization. WWW 2024: 4383-4394 - [i96]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) - [i95]Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang:
Alleviating Structural Distribution Shift in Graph Anomaly Detection. CoRR abs/2401.14155 (2024) - [i94]Junfeng Fang, Shuai Zhang, Chang Wu, Zhengyi Yang, Zhiyuan Liu, Sihang Li, Kun Wang, Wenjie Du, Xiang Wang:
MolTC: Towards Molecular Relational Modeling In Language Models. CoRR abs/2402.03781 (2024) - [i93]Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He:
EXGC: Bridging Efficiency and Explainability in Graph Condensation. CoRR abs/2402.05962 (2024) - [i92]Yuan Gao, Haokun Chen, Xiang Wang, Zhicai Wang, Xue Wang, Jinyang Gao, Bolin Ding:
DiffsFormer: A Diffusion Transformer on Stock Factor Augmentation. CoRR abs/2402.06656 (2024) - [i91]An Zhang, Wenchang Ma, Pengbo Wei, Leheng Sheng, Xiang Wang:
General Debiasing for Graph-based Collaborative Filtering via Adversarial Graph Dropout. CoRR abs/2402.13769 (2024) - [i90]Zhicai Wang, Longhui Wei, Tan Wang, Heyu Chen, Yanbin Hao, Xiang Wang, Xiangnan He, Qi Tian:
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model. CoRR abs/2403.19600 (2024) - [i89]Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou:
BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers. CoRR abs/2404.15070 (2024) - [i88]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) - [i87]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) - [i86]Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, Maarten de Rijke:
Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning. CoRR abs/2405.15114 (2024) - [i85]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) - [i84]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) - [i83]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) - [i82]An Zhang, Han Wang, Xiang Wang, Tat-Seng Chua:
Disentangling Masked Autoencoders for Unsupervised Domain Generalization. CoRR abs/2407.07544 (2024) - [i81]Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He:
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. CoRR abs/2407.07880 (2024) - [i80]Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He:
β-DPO: Direct Preference Optimization with Dynamic β. CoRR abs/2407.08639 (2024) - [i79]Jinda Lu, Shuo Wang, Yanbin Hao, Haifeng Liu, Xiang Wang, Meng Wang:
Rethinking Visual Content Refinement in Low-Shot CLIP Adaptation. CoRR abs/2407.14117 (2024) - [i78]Wenyu Mao, Jiancan Wu, Weijian Chen, Chongming Gao, Xiang Wang, Xiangnan He:
Reinforced Prompt Personalization for Recommendation with Large Language Models. CoRR abs/2407.17115 (2024) - [i77]Chen-Lu Ding, Jiancan Wu, Wei Lin, Shiyang Shen, Xiang Wang, Yancheng Yuan:
Adaptive Self-supervised Robust Clustering for Unstructured Data with Unknown Cluster Number. CoRR abs/2407.20119 (2024) - [i76]Wenyu Mao, Jiancan Wu, Haoyang Liu, Yongduo Sui, Xiang Wang:
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization. CoRR abs/2408.01697 (2024) - [i75]Xiaoyu Kong, Jiancan Wu, An Zhang, Leheng Sheng, Hui Lin, Xiang Wang, Xiangnan He:
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation. CoRR abs/2408.10159 (2024) - 2023
- [j20]Yuan Gao, Xiang Wang, Xiangnan He, Huamin Feng, Yong-Dong Zhang:
Rumor detection with self-supervised learning on texts and social graph. Frontiers Comput. Sci. 17(4): 174611 (2023) - [j19]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) - [j18]Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, Meng Wang:
A Survey on Accuracy-Oriented Neural Recommendation: From Collaborative Filtering to Information-Rich Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4425-4445 (2023) - [j17]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) - [j16]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) - [j15]Yuyue Zhao, Xiang Wang, Jiawei Chen, Yashen Wang, Wei Tang, Xiangnan He, Haiyong Xie:
Time-aware Path Reasoning on Knowledge Graph for Recommendation. ACM Trans. Inf. Syst. 41(2): 26:1-26:26 (2023) - [j14]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) - [j13]Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He:
Bias and Debias in Recommender System: A Survey and Future Directions. ACM Trans. Inf. Syst. 41(3): 67:1-67:39 (2023) - [c76]Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang:
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. EMNLP (Findings) 2023: 5506-5520 - [c75]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 - [c74]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 - [c73]Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua:
Discovering Spatio-Temporal Rationales for Video Question Answering. ICCV 2023: 13823-13832 - [c72]An Zhang, Fangfu Liu, Wenchang Ma, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Boosting Causal Discovery via Adaptive Sample Reweighting. ICLR 2023 - [c71]Jiahao Liu, Jun Zeng, Xiang Wang, Zhenkai Liang:
Learning Graph-based Code Representations for Source-level Functional Similarity Detection. ICSE 2023: 345-357 - [c70]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 - [c69]Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua:
Context-aware Event Forecasting via Graph Disentanglement. KDD 2023: 1643-1652 - [c68]Wei Ji, Xiangyan Liu, An Zhang, Yinwei Wei, Yongxin Ni, Xiang Wang:
Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation. ACM Multimedia 2023: 955-965 - [c67]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 - [c66]Junfeng Fang, Wei Liu, Yuan Gao, Zemin Liu, An Zhang, Xiang Wang, Xiangnan He:
Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis. NeurIPS 2023 - [c65]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 - [c64]Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He:
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift. NeurIPS 2023 - [c63]Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He:
Understanding Contrastive Learning via Distributionally Robust Optimization. NeurIPS 2023 - [c62]Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He:
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. NeurIPS 2023 - [c61]An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. NeurIPS 2023 - [c60]Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang:
A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. SIGIR 2023: 331-340 - [c59]Yinwei Wei, Xiaohao Liu, Yunshan Ma, Xiang Wang, Liqiang Nie, Tat-Seng Chua:
Strategy-aware Bundle Recommender System. SIGIR 2023: 1198-1207 - [c58]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 - [c57]Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang:
Alleviating Structural Distribution Shift in Graph Anomaly Detection. WSDM 2023: 357-365 - [c56]Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua:
Cooperative Explanations of Graph Neural Networks. WSDM 2023: 616-624 - [c55]Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He:
GIF: A General Graph Unlearning Strategy via Influence Function. WWW 2023: 651-661 - [c54]An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua:
Invariant Collaborative Filtering to Popularity Distribution Shift. WWW 2023: 1240-1251 - [c53]Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang:
Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum. WWW 2023: 1528-1538 - [i74]An Zhang, Jingnan Zheng, Xiang Wang, Yancheng Yuan, Tat-Seng Chua:
Invariant Collaborative Filtering to Popularity Distribution Shift. CoRR abs/2302.05328 (2023) - [i73]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) - [i72]Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He:
GIF: A General Graph Unlearning Strategy via Influence Function. CoRR abs/2304.02835 (2023) - [i71]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) - [i70]Qi Wu, Yingguang Yang, Buyun He, Hao Liu, Xiang Wang, Yong Liao, Renyu Yang, Pengyuan Zhou:
Heterophily-aware Social Bot Detection with Supervised Contrastive Learning. CoRR abs/2306.07478 (2023) - [i69]Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua:
Discovering Spatio-Temporal Rationales for Video Question Answering. CoRR abs/2307.12058 (2023) - [i68]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) - [i67]Wei Ji, Xiangyan Liu, An Zhang, Yinwei Wei, Yongxin Ni, Xiang Wang:
Online Distillation-enhanced Multi-modal Transformer for Sequential Recommendation. CoRR abs/2308.04067 (2023) - [i66]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) - [i65]Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang:
Text-to-Image Generation for Abstract Concepts. CoRR abs/2309.14623 (2023) - [i64]Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou:
Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization. CoRR abs/2310.05506 (2023) - [i63]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) - [i62]An Zhang, Wenchang Ma, Jingnan Zheng, Xiang Wang, Tat-Seng Chua:
Robust Collaborative Filtering to Popularity Distribution Shift. CoRR abs/2310.10696 (2023) - [i61]Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He:
Understanding Contrastive Learning via Distributionally Robust Optimization. CoRR abs/2310.11048 (2023) - [i60]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) - [i59]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) - [i58]Yaorui Shi, An Zhang, Enzhi Zhang, Zhiyuan Liu, Xiang Wang:
ReLM: Leveraging Language Models for Enhanced Chemical Reaction Prediction. CoRR abs/2310.13590 (2023) - [i57]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) - [i56]Chengpeng Li, Zhengyi Yang, Jizhi Zhang, Jiancan Wu, Dingxian Wang, Xiangnan He, Xiang Wang:
Model-enhanced Contrastive Reinforcement Learning for Sequential Recommendation. CoRR abs/2310.16566 (2023) - [i55]An Zhang, Leheng Sheng, Zhibo Cai, Xiang Wang, Tat-Seng Chua:
Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss. CoRR abs/2310.18700 (2023) - [i54]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) - [i53]Zhengyi Yang, Jiancan Wu, Zhicai Wang, Xiang Wang, Yancheng Yuan, Xiangnan He:
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion. CoRR abs/2310.20453 (2023) - [i52]Zhengyi Yang, Jiancan Wu, Yanchen Luo, Jizhi Zhang, Yancheng Yuan, An Zhang, Xiang Wang, Xiangnan He:
Large Language Model Can Interpret Latent Space of Sequential Recommender. CoRR abs/2310.20487 (2023) - [i51]You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng:
On the Opportunities of Green Computing: A Survey. CoRR abs/2311.00447 (2023) - [i50]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) - [i49]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) - [i48]