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En-Hong Chen
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- affiliation: University of Science and Technology of China, School of Computer Science and Technology, Anhui Province Key Laboratory of Big Data Analysis and Application, Hefei, China
- affiliation: University of Science and Technology of China, School of Data Science, Hefei, China
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2020 – today
- 2023
[j189]Mingdi Hu, Long Bai, Jiulun Fan, Sirui Zhao, Enhong Chen:
Vehicle color recognition based on smooth modulation neural network with multi-scale feature fusion. Frontiers Comput. Sci. 17(3): 173321 (2023)- [j188]Qi Zhang
, Hengshu Zhu, Peng Wang, Enhong Chen, Hui Xiong:
Hierarchical Wi-Fi Trajectory Embedding for Indoor User Mobility Pattern Analysis. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7(2): 82:1-82:21 (2023) - [j187]Wei Huang, Tong Xiao, Qi Liu, Zhenya Huang, Jianhui Ma, Enhong Chen:
HMNet: a hierarchical multi-modal network for educational video concept prediction. Int. J. Mach. Learn. Cybern. 14(9): 2913-2924 (2023) - [j186]Yifei Cheng, Shuheng Shen, Xianfeng Liang, Jingchang Liu, Joya Chen, Tie Zhang, Enhong Chen:
Communication-efficient federated learning with stagewise training strategy. Neural Networks 167: 460-472 (2023) - [j185]Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen:
Influence-Driven Data Poisoning for Robust Recommender Systems. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11915-11931 (2023) - [j184]Zongda Wu, Jian Xie, Shigen Shen, Chongze Lin, Guandong Xu, Enhong Chen:
A Confusion Method for the Protection of User Topic Privacy in Chinese Keyword-based Book Retrieval. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(5): 146:1-146:19 (2023) - [j183]Zheyong Xie, Weidong He, Tong Xu, Shiwei Wu, Chen Zhu, Ping Yang, Enhong Chen:
Comprehending the Gossips: Meme Explanation in Time-Sync Video Comment via Multimodal Cues. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(8): 216:1-216:17 (2023) - [j182]Pengyang Ling, Huaian Chen, Xiao Tan, Yi Jin, Enhong Chen:
Single Image Dehazing Using Saturation Line Prior. IEEE Trans. Image Process. 32: 3238-3253 (2023) - [j181]Xiao Tan, Huaian Chen, Rui Zhang, Qihan Wang, Yan Kan, Jinjin Zheng, Yi Jin, Enhong Chen:
Deep Multi-Exposure Image Fusion for Dynamic Scenes. IEEE Trans. Image Process. 32: 5310-5325 (2023) - [j180]Likang Wu, Hongke Zhao, Zhi Li, Zhenya Huang, Qi Liu, Enhong Chen:
Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks. ACM Trans. Knowl. Discov. Data 17(8): 110:1-110:23 (2023) - [j179]Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Yuting Ning, Jianhui Ma, Qi Liu, Enhong Chen:
TechPat: Technical Phrase Extraction for Patent Mining. ACM Trans. Knowl. Discov. Data 17(9): 129:1-129:31 (2023) - [j178]Kai Zhang, Qi Liu, Hao Qian, Biao Xiang, Qing Cui, Jun Zhou, Enhong Chen:
EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis. IEEE Trans. Knowl. Data Eng. 35(1): 377-389 (2023) - [j177]Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen:
Decoupled Representation Learning for Attributed Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2430-2444 (2023) - [j176]Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, Enhong Chen:
Network Representation Lightening From Hashing to Quantization. IEEE Trans. Knowl. Data Eng. 35(5): 5119-5131 (2023) - [j175]Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, Hui Xiong:
Towards Automatic Job Description Generation With Capability-Aware Neural Networks. IEEE Trans. Knowl. Data Eng. 35(5): 5341-5355 (2023) - [j174]Hanqing Tao, Guanqi Zhu, Enhong Chen, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Yew-Soon Ong:
Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification. IEEE Trans. Knowl. Data Eng. 35(6): 6043-6057 (2023) - [j173]Shuanghong Shen, Enhong Chen, Qi Liu, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang:
Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing. IEEE Trans. Knowl. Data Eng. 35(8): 8213-8227 (2023) - [j172]Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su:
NeuralCD: A General Framework for Cognitive Diagnosis. IEEE Trans. Knowl. Data Eng. 35(8): 8312-8327 (2023) - [j171]Wei Huang, Enhong Chen, Qi Liu, Hui Xiong, Zhenya Huang, Shiwei Tong, Dan Zhang:
HmcNet: A General Approach for Hierarchical Multi-Label Classification. IEEE Trans. Knowl. Data Eng. 35(9): 8713-8728 (2023) - [j170]Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen:
Model Inversion Attacks Against Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 35(9): 8729-8741 (2023) - [j169]Leyan Deng, Chenwang Wu, Defu Lian, Yongji Wu, Enhong Chen:
Markov-Driven Graph Convolutional Networks for Social Spammer Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12310-12322 (2023) - [j168]Fei Wang, Zhenya Huang, Qi Liu, Enhong Chen, Yu Yin, Jianhui Ma, Shijin Wang:
Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing Perspective. IEEE Trans. Learn. Technol. 16(3): 306-323 (2023) - [j167]Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang:
LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching. IEEE Trans. Neural Networks Learn. Syst. 34(2): 853-866 (2023) - [j166]Liyi Chen, Zhi Li, Weidong He, Gong Cheng, Tong Xu, Nicholas Jing Yuan, Enhong Chen:
Entity Summarization via Exploiting Description Complementarity and Salience. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8297-8309 (2023) - [j165]Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Xiangyu Zhao, Baoxing Huai, Xian Wu, Enhong Chen:
Interaction-aware Drug Package Recommendation via Policy Gradient. ACM Trans. Inf. Syst. 41(1): 3:1-3:32 (2023) - [j164]Chao Feng, Defu Lian, Xiting Wang, Zheng Liu, Xing Xie, Enhong Chen:
Reinforcement Routing on Proximity Graph for Efficient Recommendation. ACM Trans. Inf. Syst. 41(1): 8:1-8:27 (2023) - [j163]Zhenya Huang, Binbin Jin, Hongke Zhao, Qi Liu, Defu Lian, Tengfei Bao, Enhong Chen:
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation. ACM Trans. Inf. Syst. 41(2): 44:1-44:29 (2023) - [j162]Qi Liu, Jinze Wu, Zhenya Huang, Hao Wang, Yuting Ning, Ming Chen, Enhong Chen, Jinfeng Yi, Bowen Zhou:
Federated User Modeling from Hierarchical Information. ACM Trans. Inf. Syst. 41(2): 46:1-46:33 (2023) - [j161]Liyang He, Zhenya Huang, Enhong Chen, Qi Liu, Shiwei Tong, Hao Wang, Defu Lian, Shijin Wang:
An Efficient and Robust Semantic Hashing Framework for Similar Text Search. ACM Trans. Inf. Syst. 41(4): 91:1-91:31 (2023) - [j160]Sirui Zhao, Hongyu Jiang, Hanqing Tao, Rui Zha, Kun Zhang, Tong Xu, Enhong Chen:
PEDM: A Multi-task Learning Model for Persona-aware Emoji-embedded Dialogue Generation. ACM Trans. Multim. Comput. Commun. Appl. 19(3s): 132:1-132:21 (2023) - [j159]Suojuan Zhang, Song Huang, Xiaohan Yu, Enhong Chen, Fei Wang, Zhenya Huang:
A generalized multi-skill aggregation method for cognitive diagnosis. World Wide Web (WWW) 26(2): 585-614 (2023) - [c411]Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen:
Query-Aware Quantization for Maximum Inner Product Search. AAAI 2023: 4875-4883 - [c410]Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu:
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning. AAAI 2023: 5018-5026 - [c409]Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang:
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. AAAI 2023: 13409-13418 - [c408]Ye Liu, Kai Zhang, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen:
Enhancing Hierarchical Text Classification through Knowledge Graph Integration. ACL (Findings) 2023: 5797-5810 - [c407]Xukai Liu, Kai Zhang, Ye Liu, Enhong Chen, Zhenya Huang, Linan Yue, Jiaxian Yan:
RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs. ACL (Findings) 2023: 8683-8696 - [c406]Wei Chen, Lili Zhao, Pengfei Luo, Tong Xu, Yi Zheng, Enhong Chen:
HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition. CIKM 2023: 296-305 - [c405]Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen, Xin Li, Yuanjing He:
Search-Efficient Computerized Adaptive Testing. CIKM 2023: 773-782 - [c404]Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen:
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. CIKM 2023: 3009-3019 - [c403]Sanshi Lei Yu, Qi Liu, Fei Wang, Yang Yu, Enhong Chen:
Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering. CIKM 2023: 3073-3082 - [c402]Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen:
Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. CIKM 2023: 3257-3267 - [c401]Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen:
Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems. CIKM 2023: 3423-3432 - [c400]Long Zhao, Youzhi Huang, Yanyan Wang, Yin Xu, Qiangzhong Feng, Enhong Chen:
Base Station Traffic Prediction based on Feature Selection and Stacking Ensemble Learning. CNIOT 2023: 113-117 - [c399]Xi Zhu, Pengfei Luo, Ziwei Zhao, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Enhong Chen:
Few-Shot Link Prediction for Event-Based Social Networks via Meta-learning. DASFAA (3) 2023: 31-41 - [c398]Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. DASFAA (2) 2023: 286-296 - [c397]Kehang Wang, Qi Liu, Kai Zhang, Ye Liu, Hanqing Tao, Zhenya Huang, Enhong Chen:
Class-Dynamic and Hierarchy-Constrained Network for Entity Linking. DASFAA (2) 2023: 622-638 - [c396]Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma:
Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. ICDE 2023: 3801-3802 - [c395]Derong Xu, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou:
Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism. ICDE 2023: 3928-3941 - [c394]Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, Enhong Chen:
Federated Nearest Neighbor Machine Translation. ICLR 2023 - [c393]Shukang Yin, Shiwei Wu, Tong Xu, Shifeng Liu, Sirui Zhao, Enhong Chen:
AU-aware graph convolutional network for Macroand Micro-expression spotting. ICME 2023: 228-233 - [c392]Yiming Zhang, Hao Wang, Yifan Xu, Xinglong Mao, Tong Xu, Sirui Zhao, Enhong Chen:
Adaptive Graph Attention Network with Temporal Fusion for Micro-Expressions Recognition. ICME 2023: 1391-1396 - [c391]Wenjun Peng, Weidong He, Derong Xu, Tong Xu, Chen Zhu, Enhong Chen:
Social Context-aware GCN for Video Character Search via Scene-prior Enhancement. ICME 2023: 2609-2614 - [c390]Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yu Yang:
Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests. ICML 2023: 41786-41818 - [c389]Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen:
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. IJCAI 2023: 2361-2369 - [c388]Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang:
Exploiting Non-Interactive Exercises in Cognitive Diagnosis. IJCAI 2023: 2397-2405 - [c387]Yichao Du, Zhengsheng Guo, Jinchuan Tian, Zhirui Zhang, Xing Wang, Jianwei Yu, Zhaopeng Tu, Tong Xu, Enhong Chen:
The MineTrans Systems for IWSLT 2023 Offline Speech Translation and Speech-to-Speech Translation Tasks. IWSLT@ACL 2023: 79-88 - [c386]Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong:
Multi-Temporal Relationship Inference in Urban Areas. KDD 2023: 1316-1327 - [c385]Wuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen:
Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. KDD 2023: 1353-1362 - [c384]Jiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu:
Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge. KDD 2023: 1477-1488 - [c383]Pengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen:
Multi-Grained Multimodal Interaction Network for Entity Linking. KDD 2023: 1583-1594 - [c382]Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen:
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. KDD 2023: 2618-2628 - [c381]Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen:
A Causality Inspired Framework for Model Interpretation. KDD 2023: 2731-2741 - [c380]Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang:
Learning Behavior-oriented Knowledge Tracing. KDD 2023: 2789-2800 - [c379]Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen:
Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction. KDD 2023: 3151-3161 - [c378]Wenjun Peng, Derong Xu, Tong Xu, Jianjin Zhang, Enhong Chen:
Are GPT Embeddings Useful for Ads and Recommendation? KSEM (4) 2023: 151-162 - [c377]Minghao Liu, Haiyi Liu, Sirui Zhao, Fei Ma, Minglei Li, Zonghong Dai, Hao Wang, Tong Xu, Enhong Chen:
STAN: Spatial-Temporal Awareness Network for Temporal Action Detection. MMSports@MM 2023: 161-165 - [c376]Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen:
Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs. SIGIR 2023: 822-831 - [c375]Longhu Qin, Jiayu Liu, Zhenya Huang, Kai Zhang, Qi Liu, Binbin Jin, Enhong Chen:
A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement. SIGIR 2023: 1750-1754 - [c374]Zhi Cao, Enhong Chen, Ye Huang, Shuanghong Shen, Zhenya Huang:
Learning from Crowds with Annotation Reliability. SIGIR 2023: 2103-2107 - [c373]Yujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang:
Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback. SIGIR 2023: 2496-2500 - [c372]Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen:
RecStudio: Towards a Highly-Modularized Recommender System. SIGIR 2023: 2890-2900 - [c371]Yu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li:
Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer. WWW 2023: 855-864 - [c370]Rui Fan, Yuanhao Pu, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen:
AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation. WWW 2023: 1032-1042 - [c369]Xu Huang, Defu Lian, Jin Chen, Liu Zheng, Xing Xie, Enhong Chen:
Cooperative Retriever and Ranker in Deep Recommenders. WWW 2023: 1150-1161 - [c368]Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen:
Membership Inference Attacks Against Sequential Recommender Systems. WWW 2023: 1208-1219 - [c367]Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen:
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. WWW 2023: 1437-1445 - [c366]Yin Gu, Kai Zhang, Qi Liu, Xin Lin, Zhenya Huang, Enhong Chen:
MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction. WWW 2023: 2710-2718 - [c365]Zepu Lu, Defu Lian, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang, Enhong Chen:
Differentiable Optimized Product Quantization and Beyond. WWW 2023: 3353-3363 - [i123]Sirui Zhao, Huaying Tang, Xinglong Mao, Shifeng Liu, Hanqing Tao, Hao Wang, Tong Xu, Enhong Chen:
More is Better: A Database for Spontaneous Micro-Expression with High Frame Rates. CoRR abs/2301.00985 (2023) - [i122]Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang:
Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. CoRR abs/2301.07558 (2023) - [i121]Yuting Ning, Jiayu Liu, Longhu Qin, Tong Xiao, Shangzi Xue, Zhenya Huang, Qi Liu, Enhong Chen, Jinze Wu:
A Novel Approach for Auto-Formulation of Optimization Problems. CoRR abs/2302.04643 (2023) - [i120]Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen:
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. CoRR abs/2302.09818 (2023) - [i119]Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, Enhong Chen:
Federated Nearest Neighbor Machine Translation. CoRR abs/2302.12211 (2023) - [i118]Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen:
GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. CoRR abs/2303.00243 (2023) - [i117]Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Enhong Chen:
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. CoRR abs/2303.00320 (2023) - [i116]Shukang Yin, Shiwei Wu, Tong Xu, Shifeng Liu, Sirui Zhao, Enhong Chen:
AU-aware graph convolutional network for Macro- and Micro-expression spotting. CoRR abs/2303.09114 (2023) - [i115]Shuanghong Shen, Enhong Chen, Bihan Xu, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su:
Quiz-based Knowledge Tracing. CoRR abs/2304.02413 (2023) - [i114]Zaixi Zhang, Qi Liu, Chee-Kong Lee, Chang-Yu Hsieh, Enhong Chen:
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design. CoRR abs/2304.12436 (2023) - [i113]Wenjun Peng, Weidong He, Derong Xu, Tong Xu, Chen Zhu, Enhong Chen:
Social Context-aware GCN for Video Character Search via Scene-prior Enhancement. CoRR abs/2305.12348 (2023) - [i112]Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen:
A Survey on Large Language Models for Recommendation. CoRR abs/2305.19860 (2023) - [i111]Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen:
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. CoRR abs/2306.08487 (2023) - [i110]Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang:
Description-Enhanced Label Embedding Contrastive Learning for Text Classification. CoRR abs/2306.08817 (2023) - [i109]Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong:
Multi-Temporal Relationship Inference in Urban Areas. CoRR abs/2306.08921 (2023) - [i108]Yan Zhuang, Qi Liu, Yuting Ning, Weizhe Huang, Rui Lv, Zhenya Huang, Guanhao Zhao, Zheng Zhang, Qingyang Mao, Shijin Wang, Enhong Chen:
Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective. CoRR abs/2306.10512 (2023) - [i107]Zaixi Zhang, Jiaxian Yan, Qi Liu, Enhong Chen:
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design. CoRR abs/2306.11768 (2023) - [i106]Shukang Yin, Chaoyou Fu, Sirui Zhao, Ke Li, Xing Sun, Tong Xu, Enhong Chen:
A Survey on Multimodal Large Language Models. CoRR abs/2306.13549 (2023) - [i105]Chao Zhang, Shiwei Wu, Sirui Zhao, Tong Xu, Enhong Chen:
A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Inference. CoRR abs/2306.14412 (2023) - [i104]Zheli Xiong, Defu Lian, Enhong Chen, Gang Chen, Xiaomin Cheng:
A DeepLearning Framework for Dynamic Estimation of Origin-Destination Sequence. CoRR abs/2307.05623 (2023) - [i103]Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen:
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. CoRR abs/2307.05722 (2023) - [i102]Qi Liu, Zheng Gong, Zhenya Huang, Chuanren Liu, Hengshu Zhu, Zhi Li, Enhong Chen, Hui Xiong:
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms. CoRR abs/2307.07134 (2023) - [i101]Pengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen:
Multi-Grained Multimodal Interaction Network for Entity Linking. CoRR abs/2307.09721 (2023) - [i100]Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen:
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities. CoRR abs/2307.16376 (2023) - [i99]Likang Wu, Junji Jiang, Hongke Zhao,