徐童，中国科学技术大学特任教授，博士生导师，2010年于浙江大学数学系获理科学士学位，2016年于中国科学技术大学计算机学院获工学博士学位， 师从陈恩红教授。其间，于2013年9月至2014年9月赴美国罗格斯-新泽西州立大学进行国家公派研究生联合培养学习，师从熊辉教授。
现为中国中文信息学会青年工作委员会主任，中国中文信息学会情感计算专委会执行委员。主要研究方向为数据挖掘与社交媒体分析。

1. Chaoyou Fu, Yuhan Dai, Yondong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Rongrong Ji, Xing Sun, Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis, 2024. [Link]
2. Yuanjie Lyu, Zhiyu Li, Simin Niu, Feiyu Xiong, Bo Tang, Wenjin Wang, Hao Wu, Huanyong Liu, Tong Xu*, Enhong Chen, CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models, ACM Transactions on Information Systems, Accepted, 2024. [Link]
3. Derong Xu, Wei Chen, Wenjun Peng, Chao Zhang, Tong Xu, Xiangyu Zhao, Xian Wu, Yefeng Zheng, Enhong Chen, Large Language Models for Generative Information Extraction: A Survey, Frontiers of Computer Science, Accepted, 2024. [Link]
4. Shukang Yin, Chaoyou Fu, Sirui Zhao, Ke Li, Xing Sun, Tong Xu, Enhong Chen, A Survey on Multimodal Large Language Models, National Science Review, Accepted, 2024. [Link]

1. Derong Xu, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao, Tong Xu*, Enhong Chen, Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation, In Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI'25), Philadelphia, PA, USA, 2025, Accepted.
2. Zipeng Gao, Qingrong Xia, Tong Xu*, Xinyu Duan, Zhi Zheng, Zhefeng Wang, Enhong Chen, Multi-branch Self-Drafting for LLM Inference Acceleration, In Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence (AAAI'25), Philadelphia, PA, USA, 2025, Accepted.
3. Tong Bao, Che Liu, Derong Xu, Zhi Zheng, Tong Xu*, MLLM-I2W: Harnessing Multimodal Large Language Model for Zero-Shot Composed Image Retrieval, In Proceedings of the 31st International Conference on Computational Linguistics (COLING'25), Abu Dhabi, UAE, 2025, Accepted.
4. Sheng Zhang, Maolin Wang, Wanyu Wang, Jingtong Gao, Xiangyu Zhao, Yu Yang, Xuetao Wei, Zitao Liu, Tong Xu, GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems, In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'25), Toronto, Canada, 2025, Accepted.
5. Chao Zhang, Haoxin Zhang, Shiwei Wu, Di Wu, Tong Xu*, Xiangyu Zhao, Yan Gao, Yao Hu, Enhong Chen, NoteLLM-2: Multimodal Large Representation Models for Recommendation, In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'25), Toronto, Canada, 2025, Accepted.
6. Shiwei Wu, Joya Chen, Kevin Qinghong Lin, Qimeng Wang, Yan Gao, Qianli Xu, Tong Xu*, Yao Hu, Enhong Chen, Mike Zheng Shou, VideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation, In Proceedings of the Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS'24), Vancouver, Canada, 2024, Accepted.
7. Yuanjie Lyu, Zihan Niu, Zheyong Xie, Chao Zhang, Tong Xu*, Yang Wang, Enhong Chen, Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation, In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'24), Miami, FL, USA, 2024, Accepted.
8. Xiangfeng Wang, Zaiyi Chen, Tong Xu*, Zheyong Xie, Yongyi He, Enhong Chen, In-Context Former: Lightning-fast Compressing Context for Large Language Model, In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'24), Miami, FL, USA, 2024, Accepted.
9. Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu*, Xiangyu Zhao, Yefeng Zheng, Enhong Chen, Mitigating Hallucinations of Large Language Models in Medical Domain via Contrastive Decoding, In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'24), Miami, FL, USA, 2024, Accepted.
10. Ziqi Wang, Chen Zhu, Zhi Zheng, Xinhang Li, Tong Xu*, Yongyi He, Qi Liu, Ying Yu, Enhong Chen, Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding, In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'24), Miami, FL, USA, 2024, Accepted.
11. Wei Chen, Lili Zhao, Zhi Zheng, Tong Xu*, Yang Wang, Enhong Chen, Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition, In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'24), Miami, FL, USA, 2024, Accepted.
12. Junyi Zhu, Shuochen Liu, Yu Yu, Bo Tang, Yibo Yan, Zhiyu li, Feiyu Xiong, Tong Xu, Matthew B. Blaschko, FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models, In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'24), Miami, FL, USA, 2024, Accepted.
13. Zhengye Zhang, Sirui Zhao, Xinglong Mao, Shifeng Liu, Hao Wang, Tong Xu, Enhong Chen, A Multi-scale Feature Learning Network with Optical Flow Correction for Micro- and Macro-expression Spotting, In Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM'24), Melbourne, Australia, 2024, Accepted.
14. Pengfei Luo, Tong Xu*, Che Liu, Suojuan Zhang, Linli Xu, Minglei Li, Enhong Chen, Bridging Gaps in Content and Knowledge for Multimodal Entity Linking, In Proceedings of the 32nd ACM International Conference on Multimedia (ACM MM'24), Melbourne, Australia, 2024, Accepted.
15. Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu*, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng, Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models, In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM'24), Boise, Idaho, USA, 2024, Accepted.
16. Qi Liu, Yongyi He, Tong Xu*, Defu Lian, Che Liu, Zhi Zheng, Enhong Chen, UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models, In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM'24), Boise, Idaho, USA, 2024, Accepted.
17. Fake Lin, Ziwei Zhao, Xi Zhu, Da Zhang, Shitian Shen, Xueying Li, Tong Xu*, Suojuan Zhang, Enhong Chen, When Box Meets Graph Neural Network in Tag-aware Recommendation, In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'24), Barcelona, Spain, 2024, Accepted.
18. Xinhang Li, Jingbo Zhou, Wei Chen, Derong Xu, Tong Xu*, Enhong Chen, Visualization Recommendation with Prompt-based Reprogramming of Large Language Models, In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (ACL'24), Bangkok, Thailand, 2024, Accepted.
19. Yan Gao, Tong Xu and Enhong Chen, Are Mixture-of-Modality-Experts Transformers Robust To Missing Modality During Training And Inferring?, In Proceedings of the 13th IFIP International Conference on Intelligent Information Processing (IIP'24), Shenzhen, China, 2024, Accepted. (Best Paper Award)
20. Chenxiao Liu, Zheyong Xie, Sirui Zhao, Jin Zhou, Tong Xu*, Minglei Li, Enhong Chen, Speak From Heart: An Emotion-Guided LLM-Based Multimodal Method for Emotional Dialogue Generation, In Proceedings of the 14th International Conference on Multimedia Retrieval (ICMR'24), Dusit Thani Laguna Phuket, Thailand, 2024, Accepted.
21. Rui Zha, Le Zhang, Shuangli Li, Jingbo Zhou, Tong Xu, Enhong Chen, Hui Xiong, Scaling up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations, In Proceedings of the 2024 IEEE International Conference on Data Engineering (ICDE'24), Utrecht, Netherlands, 2024, Accepted.
22. Zihan Niu, Zheyong Xie, Tong Xu*, Xiangfeng Wang, Yao Hu, Ying Yu, Enhong Chen, Knowledge-Enhanced Multi-perspective Incongruity Perception Network for Multimodal Sarcasm Detection, In Proceedings of the 2024 IEEE International Conference on Multimedia and Expo (ICME'24), Niagra Falls, Canada, 2024, Accepted.
23. Shifeng Liu, Xinglong Mao, Sirui Zhao, Chaoyou Fu, Ying Yu, Tong Xu, Enhong Chen, TGMAE: Self-supervised Micro-Expression Recognition with Temporal Gaussian Masked Autoencoder, In Proceedings of the 2024 IEEE International Conference on Multimedia and Expo (ICME'24), Niagra Falls, Canada, 2024, Accepted.
24. Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu*, Xiangyu Zhao, Yefeng Zheng and Enhong Chen, Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models, In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING'24), Torino, Italia, 2024, Accepted.
25. Jinfeng Huang, Qiaoqiao She, Wenbin Jiang, Hua Wu, Yang Hao, Tong Xu*, Feng Wu, QDMR-based Planning-and-Solving Prompting for Complex Reasoning Tasks, In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING'24), Torino, Italia, 2024, Accepted.
26. Weihao Zhao, Weidong He, Hao Wang, Haoyang Bi, Han Wu, Chen Zhu, Tong Xu, Enhong Chen, MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction, In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING'24), Torino, Italia, 2024, Accepted.
27. Wenjun Peng, Guiyang Li, Yue Jiang, Zilong Wang, Dan Ou, Xiaoyi Zeng, Derong Xu, Tong Xu*, Enhong Chen, Large Language Model based Long-tail Query Rewriting in Taobao Search, In Proceedings of the Web Conference 2024 (WWW'24), Singapore, 2024, Accepted.
28. Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu*, Yan Gao, Yao Hu, Enhong Chen, NoteLLM: A Retrievable Large Language Model for Note Recommendation, In Proceedings of the Web Conference 2024 (WWW'24), Singapore, 2024, Accepted.
29. Liyi Chen, Chuan Qin, Ying Sun, Xin Song, Tong Xu, Hengshu Zhu, Hui Xiong, Collaboration-Aware Hybrid Learning for Knowledge Development Prediction, In Proceedings of the Web Conference 2024 (WWW'24), Singapore, 2024, Accepted.
30. Yichao Du, Zhirui Zhang, Linan Yue, Xu Huang, Tong Xu, Linli Xu, Enhong Chen, Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks, In Proceedings of the 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'24), Seoul, Korea, 2024, Accepted.
31. 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, In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM'23), Birmingham, UK, 2023, Accepted.
32. 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, In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM'23), Birmingham, UK, 2023, Accepted.
33. Jiarui Yu, Haoran Li, Yanbin Hao, Bin Zhu, Tong Xu, Xiangnan He, CgT-GAN: CLIP-guided Text GAN for Image Captioning, In Proceedings of the 31st ACM International Conference on Multimedia (ACM MM'23), Ottawa, Canada, 2023, Accepted.
34. Wenjun Peng, Derong Xu, Tong Xu*, Jianjin Zhang, Enhong Chen, Are GPT Embeddings Useful for Ads and Recommendation, In Proceedings of the 16th International Conference on Knowledge Science, Engineering and Management (KSEM'23), Guangzhou, China, 2023, Accepted.
35. Yuzhen Zhong, Tong Xu*, Pengfei Luo, Contextualized Hybrid Prompt-Tuning for Generation-Based Event Extraction, In Proceedings of the 16th International Conference on Knowledge Science, Engineering and Management (KSEM'23), Guangzhou, China, 2023, Accepted.
36. Pengfei Luo, Tong Xu*, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen, Multi-Grained Multimodal Interaction Network for Entity Linking, In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'23), Long Beach, CA, USA, 2023, Accepted.
37. Yejing Wang, Shen Ge, Xiangyu Zhao, Xian Wu, Tong Xu, Chen Ma, Zhi Zheng, Doctor Specific Tag Recommendation for Online Medical Record Management, In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'23), Long Beach, CA, USA, 2023, Accepted.
38. Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong, Multi-Temporal Relationship Inference in Urban Areas, In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'23), Long Beach, CA, USA, 2023, Accepted.
39. Congxi Xiao, Jingbo Zhou, Jizhou Huang, Tong Xu, Hui Xiong, Spatial Heterophily Aware Graph Neural Networks, In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'23), Long Beach, CA, USA, 2023, Accepted.
40. Wenjun Peng, Jingwei Yi, Fangzhao Wu, Shangxi Wu, Bin Benjamin Bin Zhu, Lingjuan Lyu, Binxing Jiao, Tong Xu*, Guangzhong Sun, Xing Xie, Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark, In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL'2023), Toronto, Canada, 2023, Accepted. (Area Chair Award)
41. 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, In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2023), Taipei, China, 2023, Accepted.
42. Wenjun Peng, Weidong He, Derong Xu, Tong Xu*, Chen Zhu, Enhong Chen, Social Context-aware GCN for Video Character Search via Scene-prior Enhancement, In Proceedings of the 2023 IEEE International Conference on Multimedia and Expo (ICME'2023), Brisbane, Australia, 2023, Accepted.
43. Shukang Yin, Sirui Zhao, Shiwei Wu, Shifeng Liu, Wenhao Leng, Tong Xu, Enhong Chen, AU-aware Graph Convolutional Network for Macro- and Micro-Expression Spotting, In Proceedings of the 2023 IEEE International Conference on Multimedia and Expo (ICME'2023), Brisbane, Australia, 2023, Accepted.
44. Yiming Zhang, Sirui Zhao, Hao Wang, Yifan Xu, Xinglong Mao, Tong Xu, Enhong Chen, Adaptive Graph Attention Network with Temporal Fusion for Micro-Expressions Recognition, In Proceedings of the 2023 IEEE International Conference on Multimedia and Expo (ICME'2023), Brisbane, Australia, 2023, Accepted.
45. Derong Xu, Jingbo Zhou, Tong Xu*, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou, Multimodal Biological Knowledge Graph Completion via Triple Co-attention Mechanism, In Proceedings of the IEEE International Conference on Data Engineering 2023 (ICDE'2023), Anaheim, California, USA, 2023, Accepted.
46. Yuhan Dai, Zhirui Zhang, Qiuzhi Liu, Qu Cui, Weihua Li, Yichao Du, Tong Xu*, Simple and Scalable Nearest Neighbor Machine Translation, In Proceedings of the 11th International Conference on Learning Representations (ICLR'2023), Kigali Rwanda, 2023, Accepted.
47. Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu*, Enhong Chen, Federated Nearest Neighbor Machine Translation, In Proceedings of the 11th International Conference on Learning Representations (ICLR'2023), Kigali Rwanda, 2023, Accepted.
48. 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, In Proceedings of the 28th International Conference on Database Systems for Advanced Applications (DASFAA'2023), Tianjin, China, 2023, 31-41. [PDF]
49. Congxi Xiao, Jingbo Zhou, Jizhou Huang, Hengshu Zhu, Tong Xu, Dejing Dou, Hui Xiong, A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection, In Proceedings of the IEEE International Conference on Data Engineering 2023 (ICDE'2023), Anaheim, California, USA, 2023, Accepted.
50. Yichao Du, Weizhi Wang, Zhirui Zhang, Boxing Chen, Tong Xu, Jun Xie, Enhong Chen, Non-Parametric Domain Adaptation for End-to-End Speech Translation, In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP'2022), Abu Dhabi, UAE, 2022, Accepted.
51. Dan Li, Yang Yang, Hongyin Tang, Jiahao Liu, Qifan Wang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen, VIRT: Improving Representation-based Text Matching via Virtual Interaction, In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP'2022), Abu Dhabi, UAE, 2022, Accepted.
52. Miao Chen, Xinjiang Lu, Tong Xu, Yanyan Li, zhou jingbo, Dejing Dou, Hui Xiong, Towards Table-to-Text Generation with Pretrained Language Model: A Table Structure Understanding and Text Deliberating Approach, In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP'2022), Abu Dhabi, UAE, 2022, Accepted.
53. Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie, FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning, In Proceedings of the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS'2022), New Orleans, Louisiana, USA, 2022, Accepted.
54. Yuanjie Lyu, Chen Zhu, Tong Xu*, Zikai Yin, Enhong Chen, Faithful Abstractive Summarization via Fact-aware Consistency-constrained Transformer, In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM'22), Atlanta, Georgia, USA, 2022, Accepted.
55. Sirui Zhao, Shukang Yin, Huaying Tang, Jin Rijin, Yifan Xu, Tong Xu*, Enhong Chen, Fine-grained Micro-Expression Generation based on Thin-Plate Spline and Relative AU Constraint, In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM'22), Lisbon, Portugal, 2022, Accepted.
56. Wenhao Leng, Sirui Zhao, Yiming Zhang, Shiifeng Liu, Xinglong Mao, Hao Wang, Tong Xu*, Enhong Chen, ABPN: Apex and Boundary Perception Network for Micro- and Macro-Expression Spotting, In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM'22), Lisbon, Portugal, 2022, Accepted.
57. Penggang Qin, Jiarui Yu, Yan Gao, Derong Xu, Yunkai Chen, Shiwei Wu, Tong Xu*, Yanbin Hao, Enhong Chen, Unified QA-aware Knowledge Graph Generation Based on Multi-modal Modeling, In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM'22), Lisbon, Portugal, 2022, Accepted.
58. Derong Xu, Tong Xu*, Shiwei Wu, Jingbo Zhou, Enhong Chen, Relation-enhanced Negative Sampling for Multimodal Knowledge Graph Completion, In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM'22), Lisbon, Portugal, 2022, Accepted.
59. Rijin Jin, Sirui Zhao, Zhongkai Hao, Yifan Xu, Tong Xu*, Enhong Chen, AVT: AU-Assisted Visual Transformer For Facial Expression Recognition, In Proceedings of the 29th IEEE International Conference on Image Processing (ICIP'22), Bordeaux, France, 2022, Accepted.
60. Liyi Chen, Zhi Li, Tong Xu*, Han Wu, Zhefeng Wang, Nicholas Yuan, Enhong Chen, Multi-modal Siamese Network for Entity Alignment, In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'22), Washington DC, USA, 2022, Accepted.
61. Zhi Zheng, Zhaopeng Qiu, Hui Xiong, Xian Wu, Tong Xu*, Xiangyu Zhao, Enhong Chen, DDR: Dialogue based Doctor Recommendation for Online Medical Service, In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'22), Washington DC, USA, 2022, Accepted.
62. Weilin Lin, Xiangyu Zhao, Yejing Wang, Tong Xu, Xian Wu, Adaptive Feature Selection in Deep Recommender Systems, In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'22), Washington DC, USA, 2022, Accepted.
63. Xiangyang Liu, Weidong He, Tong Xu, Enhong Chen, Low-Quality DanMu Detection via Eye-tracking Patterns, In Proceedings of the 15th International Conference on Knowledge Science, Engineering and Management (KSEM'22), Singapore, 2022, 247-259. [PDF]
64. Zihao Zhou, Le Zhang, Rui Zha, Qiming Hao, Tong Xu, Di Wu, Enhong Chen, Multi-Relational Graph Convolution Network for Stock Movement Prediction, In Proceedings of the 2022 IEEE World Congress on Computational Intelligence (IJCNN'22), Padova, Italy, 2022, Accepted.
65. Linlang Jiang, Jingbo Zhou, Tong Xu, Yanyan Li, Chen Hao, Dejing Dou, Time-aware Neural Trip Planning Reinforced by Human Mobility, In Proceedings of the 2022 IEEE World Congress on Computational Intelligence (IJCNN'22), Padova, Italy, 2022, Accepted.
66. Lijun Zha, Le Dai, Tong Xu, Di Wu, A Hierarchical Reinforcement Learning Framework for Stock Selection and Portfolio, In Proceedings of the 2022 IEEE World Congress on Computational Intelligence (IJCNN'22), Padova, Italy, 2022, Accepted.
67. Chuhan Wu, Fangzhao Wu, Tao Qi, Chao Zhang, Yongfeng Huang, Tong Xu, MM-Rec: Visiolinguistic Model Empowered Multimodal News Recommendation, In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'22), Madrid, Spain, 2022, Accepted.
68. Haoran Xin, Xinjiang Lu, Nengjun Zhu, Tong Xu, Dejing Dou, Hui Xiong, CAPTOR: A Crowd-Aware Pre-Travel Recommender System for Out-of-Town Users, In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'22), Madrid, Spain, 2022, Accepted.
69. Zhi Zheng, Zhaopeng Qiu, Tong Xu*, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong, CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction, In Proceedings of The Web Conference 2022 (WWW'22), Lyon, France, 2022, Accepted.
70. Yejing Wang, Xiangyu Zhao, Tong Xu, Xian Wu, Automating Feature Selection in Deep Recommender Systems, In Proceedings of The Web Conference 2022 (WWW'22), Lyon, France, 2022, Accepted.
71. Yichao Du, Zhirui Zhang, Weizhi Wang, Boxing Chen, Jun Xie, Tong Xu, Regularizing End-to-End Speech Translation with Triangular Decomposition Agreement, In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI'22), Online, 2022, Accepted.
72. Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong, GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction, In Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI'22), Online, 2022, Accepted.
73. Yifan Xu, Sirui Zhao, Huaying Tang, Xinlong Mao, Tong Xu*, Enhong Chen, FAMGAN: Fine-grained AUs Modulation based Generative Adversarial Network for Micro-Expression Generation, In Proceedings of the 29th ACM International Conference on Multimedia (ACM MM'21), Chengdu, China, 2021, 4813-4817. [PDF]
74. Shiwei Wu, Joya Chen, Tong Xu*, Liyi Chen, Lingfei Wu, Yao Hu, Enhong Chen, Linking the Characters: Video-oriented Social Graph Generation via Hierarchical-cumulative GCN, In Proceedings of the 29th ACM International Conference on Multimedia (ACM MM'21), Chengdu, China, 2021, 4716-4724. [PDF]
75. Zhe Zhang, Tong Xu*, Le Zhang, Yichao Du, Hui Xiong, Enhong Chen, Knowledge Powered Cooperative Semantic Fusion for Patent Classification, In Proceedings of the 2021 CAAI International Conference on Artificial Intelligence (CICAI'21), Hangzhou, China, 2021, Accepted. (Best Student Paper Finalist Award)
76. Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong, Attentive Heterogeneous Graph Embedding for Job Mobility Prediction, In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'21), Online, 2021, 2192-2201. [PDF]
77. Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong, Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity, In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'21), Online, 2021, 975-985. [PDF]
78. Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen, Hui Xiong, A Trend-aware Investment Target Recommendation System with Heterogeneous Graph, In Proceedings of the 2021 International Joint Conference on Neural Networks (IJCNN'21), Shenzhen, China, 2021, Accepted. [Link]
79. Chao Ren, Le Zhang, Lintao Fang, Tong Xu*, Zhefeng Wang, Senchao Yuan, Enhong Chen, Ontological Concept Structure Aware Knowledge Transfer for Inductive Knowledge Graph Embedding, In Proceedings of the 2021 International Joint Conference on Neural Networks (IJCNN'21), Shenzhen, China, 2021, Accepted. [Link]
80. Qiming Hao, Le Zhang, Rui Zha, Ding Zhou, Zhe Zhang, Tong Xu*, Enhong Chen, Urban Crowd Density Prediction Based on Multi-relational Graph, In Proceedings of the 22nd IEEE International Conference on Mobile Data Management (MDM'21), Online, 2021, 39-48. [Link]
81. Linkang Hu, Weidong He, Le Zhang, Tong Xu*, Hui Xiong, Enhong Chen, Detecting Highlighted Video Clips via Emotion-enhanced Audio-Visual Cues, In Proceedings of IEEE International Conference on Multimedia and Expo 2021 (ICME'21), Shenzhen, China, 2021, Accepted. [Link]
82. Zhi Zheng, Chao Wang, Tong Xu*, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen, Drug Package Recommendation via Interaction-aware Graph Induction, In Proceedings of The Web Conference 2021 (WWW'21), Ljubljana, Slovenia, 2021, 1284-1295. [PDF]
83. Weijia Zhang, Hao Liu, Fan Wang, Tong Xu, Haoran Xin, Dejing Dou, Hui Xiong, A Multi-Agent Reinforcement Learning Framework for Intelligent Electric Vehicle Charging Recommendation, In Proceedings of The Web Conference 2021 (WWW'21), Ljubljana, Slovenia, 2021, 1856-1867. [PDF]
84. Yichao Du, Pengfei Luo, Xudong Hong, Tong Xu*, Zhe Zhang, Chao Ren, Yi Zheng, Enhong Chen, Inheritance-guided Hierarchical Assignment for Clinical Automatic Diagnosis, In Proceedings of the 26th International Conference on Database Systems for Advanced Applications (DASFAA'21), Taipei, China, 2021, 461-477. [PDF]
85. Ding Zhou, Hao Liu, Tong Xu, Le Zhang, Rui Zha, Hui Xiong, Transportation Recommendation with Fairness Consideration, In Proceedings of the 26th International Conference on Database Systems for Advanced Applications (DASFAA'21), Taipei, China, 2021, 566-578. [PDF]
86. Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong, Out-of-Town Recommendation with Travel Intention Modeling, In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Online, 2021, 4529-4536. [PDF]
87. Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou, Ideography Leads Us to the Field of Cognition: A Radical-guided Associative Model for Chinese Text Classification, In Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI'21), Online, 2021, 13898-13906. [PDF]
88. Bin He, Di Zhou, Jinghui Xiao, Xin jiang, Qun Liu, Nicholas Jing Yuan, Tong Xu, Integrating Graph Contextualized Knowledge into Pre-trained Language Models, In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP'20), Online, 2020, 2281-2290. [PDF]
89. Weidong He, Zhi Li, Dongcai Lu, Enhong Chen, Tong Xu, Jing Yuan, Baoxing Huai, Multimodal Dialogue Systems via Capturing Context-aware Dependencies of Semantic Elements, In Proceedings of the 28th ACM International Conference on Multimedia (ACM MM'20), Seattle, WA, USA, 2020, 2755-2764. [PDF]
90. Liyi Chen, Zhi Li, Yijun Wang, Tong Xu*, Zhefeng Wang, Enhong Chen, MMEA: Entity Alignment for Multi-Modal Knowledge Graphs, In Proceedings of the 13th International Conference on Knowledge Science, Engineering and Management (KSEM'20), Hangzhou China, 2020, 134-147. [PDF] (Best Paper Award)
91. Le Dai, Yu Yin, Chuan Qin, Tong Xu*, Xiangnan He, Enhong Chen, Hui Xiong, Enterprise Cooperation and Competition Analysis with Sign-Oriented Preference Network, In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'20), San Diego, CA, USA, 2020, 774-782. [PDF]
92. Shuangli Li, Jingbo Zhou, Tong Xu, Hao Liu, Xinjiang Lu, Hui Xiong, Competitive Analysis for Points of Interest, In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'20), San Diego, CA, USA, 2020, 1265-1274. [PDF]
93. Binglei Wang, Tong Xu*, Hao Wang, Yanmin Chen, Le Zhang, Lintao Fang, Guiquan Liu, Enhong Chen, Author Contributed Representation for Scholarly Network, In Proceedings of the 4th APWeb-WAIM International Joint Conference on Web and Big Data (APWeb-WAIM'20), Tianjin, China, 2020, 558-573. [PDF]
94. Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua, Disentangled Representations for Graph-based Collaborative Filtering, In Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'20), Xi'an, China, 2020, 1001-1010. [PDF]
95. Jie Liu, Shaowei Chen, Bingquan Wang, Jiaxin Zhang, Na Li, Tong Xu, Attention as Relation: Learning Supervised Multi-head Attention for Relation Extraction, In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI'20), Yokohama, Japan, 2020, 3787-3793. [PDF]
96. Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen, Large-Scale Talent Flow Embedding for Company Competitive Analysis, In Proceedings of The Web Conference 2020 (WWW'20), Taipei, China, 2020, 2354-2364. [PDF]
97. Qi Zhang, Tong Xu*, Hengshu Zhu, Lifu Zhang, Hui Xiong, Enhong Chen, Qi Liu, Aftershock Detection with Multi-Scale Description based Neural Network , In Proceedings of 2019 IEEE International Conference on Data Mining (ICDM'19), Beijing, China, 2019, 886-895. [PDF][Slides]
98. Yuyang Ye, Hengshu Zhu, Tong Xu, Fuzhen Zhuang, Runlong Yu, Hui Xiong, Identifying High Potential Talent: A Neural Network based Dynamic Social Profiling Approach , In Proceedings of 2019 IEEE International Conference on Data Mining (ICDM'19), Beijing, China, 2019, 718-727. [PDF]
99. Xiang Lin, Xiangwen Liao, Tong Xu, Wenjing Pian, Kam-Fai Wong, Rumor Detection with Hierarchical Recurrent Convolutional Neural Network, In Proceedings of 8th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC'19), Dunhuang, China, 2019, 338-348. [PDF]
100. Xunxian Wu, Tong Xu*, Hengshu Zhu, Le Zhang, Hui Xiong, Enhong Chen, Trend-Aware Tensor Factorization for Job Skill Demand Analysis, In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19), Macau, China, 2019, 3891-3897. [PDF]
101. Hao Wang, Tong Xu*, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu and Wen Su, MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network, In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19), Anchorage, AK, USA, 2019, 1064-1072. [PDF]
102. Chuan Qin, Hengshu Zhu, Chen Zhu, Tong Xu, Fuzhen Zhuang, Chao Ma, Jingshuai Zhang, Hui Xiong, DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview, In Proceedings of the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'19), Anchorage, AK, USA, 2019, 2165-2173. [PDF]
103. Le Zhang, Chen Zhu, Hengshu Zhu, Tong Xu*, Enhong Chen, Chuan Qin, Hui Xiong, Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model, In Proceedings of The Web Conference 2019 (WWW'19), San Francisco, CA, USA, 2019, 2312-2322. [PDF]
104. Guangyi Lv, Tong Xu, Qi Liu, Enhong Chen, Weidong He, Mingxiao An, Zhongming Chen, Gossiping the Videos: An Embedding-based Generative Adversarial Framework for Time-sync Comments Generation, In Proceedings of The 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'19), Macau, China, 2019, 412-424. [PDF]
105. Zhirui Zhang, Shuangzhi Wu, Shujie Liu, Mu Li, Ming Zhou, and Tong Xu*, Regularizing Neural Machine Translation by Target-bidirectional Agreement, In Proceedings of 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, Hawaii, USA, 2019, 443-450. [PDF]
106. Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu*, Binbin Jin, and Qi Liu, A Radical-aware Attention-based Model for Chinese Text Classification, In Proceedings of 33rd AAAI Conference on Artificial Intelligence (AAAI'19), Honolulu, Hawaii, USA, 2019, 5125-5132. [PDF]
107. Yanan Wang, Qi Liu, Chuan Qin, Tong Xu, Yijun Wang, Enhong Chen, and Hui Xiong, Exploiting Topic-based Adversarial Neural Network for Cross-domain Keyphrase Extraction, In Proceedings of 2018 IEEE International Conference on Data Mining (ICDM'18), Singapore, 2018, 597-606. [PDF]
108. Hao Wang, Enhong Chen, Qi Liu, Tong Xu, and Dongfang Du, A United Approach to Learning Sparse Attributed Network Embedding, In Proceedings of 2018 IEEE International Conference on Data Mining (ICDM'18), Singapore, 2018, 557-566. [PDF]
109. Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, and Hui Xiong, A Joint Learning Approach to Intelligent Job Interview Assessment, In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18), Stocholm, Sweden, 2018, 3542-3548. [PDF]
110. Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, and Hui Xiong, Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach, In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'18), Ann Arbor, MI, USA, 2018, 25-34. [PDF]
111. Tianyuan Jin, Tong Xu*, Hui Zhong, Enhong Chen, Zhefeng Wang, and Qi Liu, Maximizing the Effect of Information Adoption: A General Framework, In Proceedings of 2018 SIAM International Conference on Data Mining (SDM'18), San Diego, CA, USA, 2018, 693-701. [PDF][Slides]
112. Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, and Hui Xiong, Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach, In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI'18), New Orleans, LA, USA, 2018, 2572-2579. [PDF]
113. Xiangyu Zhao, Tong Xu*, Yanjie Fu, Enhong Chen, and Hao Guo, Incorporating Spatio-Temporal Smoothness for Air Quality Inference, In Proceedings of the 17th International Conference on Data Mining (ICDM'17), New Orleans, LA, USA, 2017, 1177-1182. [PDF][Slides]
114. Le Zhang, Tianyuan Jin, Tong Xu*, Biao Chang, Zhefeng Wang and Enhong Chen, A Markov Chain Monte Carlo Approach for Source Detection in Networks, In Proceedings of Sixth National Conference on Social Media Processing (SMP'17), Beijing, China, 2017, 77-88. [PDF]
115. Dongfang Du, Hao Wang, Tong Xu*, Yanan Lu, Qi Liu, Enhong Chen, Solving Link-oriented Tasks in Signed Network via an Embedding Approach, In Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC'17), Banff, Canada, 2017, 75-80. [PDF][Slides]
116. Qi Liu, Guifeng Wang, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen, Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective, In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), Melbourne, Australia, 2017, 695-702. [PDF]
117. Zhen Pan, Qi Liu, Tong Xu, Enhong Chen, Haiping Ma, Hongjie Lin, Sparse Factorization Machines for Click-through Rate Prediction, In Proceedings of the 16th International Conference on Data Mining (ICDM'16), Barcelona, Spain, 2016, 400-409. [PDF]
118. Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong, Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective, In Proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'16), San Francisco, CA, USA, 2016, 1285-1294. [PDF][Slides]
119. Xiangyu Zhao, Tong Xu*, Qi Liu, Hao Guo, Exploring the Choice under Conflict for Social Event Participation, In Proceedings of the 21st International Conference on Database Systems for Advanced Applications (DASFAA'16), Dallas, TX, USA, 2016, 396-411. [PDF][Slides][Data]
120. Guangyi Lv, Tong Xu, Enhong Chen, Qi Liu, Yi Zheng, Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos based on Semantic Embedding, In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI'16), Phoenix, AZ, USA, 2016, 3000-3006. [PDF][Slides]
121. Tong Xu, Hao Zhong, Hengshu Zhu, Hui Xiong, Enhong Chen, Guannan Liu, Exploring the Impact of Dynamic Mutual Influence on Social Event Participation, In Proceedings of 2015 SIAM International Conference on Data Mining (SDM'15), Vancouver, Canada, 2015, 262-270. [PDF][Slides][Data]
122. Guannan Liu, Yanjie Fu, Tong Xu, Hui Xiong, Guoqing Chen, Discovering Temporal Retweeting Patterns for Social Media Marketing Campaigns, In Proceedings of the 14th International Conference on Data Mining (ICDM'14), Shenzhen, China, 2014, 905-910. [PDF]

123. Ting Jin, Tong Xu, Enhong Chen, Qi Liu, Effective Random Walk with Pre-filtering for Social Link Prediction, In Proceedings of the 9th International Conference on Computational Intelligence and Security (CIS'13), Leshan, China, 2013, 139-143. [PDF]
124. Tong Xu, Dong Liu, Enhong Chen, Huanhuan Cao, Jilei Tian, Towards Annotating Media Contents through Social Diffusion Analysis, In Proceedings of the 12th International Conference on Data Mining (ICDM'12), Brussels, Belgium, 2012, 1158-1163. [PDF][Slides]
125. Yu Yang, Enhong Chen, Qi Liu, Biao Xiang, Tong Xu, Shafqat Ali Shad, On Approximation of Real-World Influence Spread, In Proceedings of the 2012 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'12), UK, 2012, 548-564. [PDF]

1. Changkai Feng, Tong Xu*, Shiwei Wu, Derong Xu, Enhong Chen, Adaptive Hierarchical Prompt for Open-Vocabulary Scene Graph Generation , In ACM Transactions on Asian and Low-Resource Language Information Processing, 2024, Accepted.
2. Shukang Yin, Chaoyou Fu, Sirui Zhao, Tong Xu*, Hao Wang, Dianbo Sui, Yunhang Shen, Ke Li, Xing Sun, Enhong Chen, A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation, In SCIENCE CHINA Information Sciences , 2024, Accepted.
3. Qidong Liu, Zhaopeng Qiu, Xiangyu Zhao, Xian Wu, Zijian Zhang, Tong Xu, Feng Tian, A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation, In ACM Transactions on Information Systems , 2024, Accepted.
4. Haoran Li, Yanbin Hao, Jiarui Yu, Bin Zhu, Shuo Wang, Tong Xu, CVLP-NaVD: Contrastive Visual-Language Pre-training Models for Non-annotated Visual Description, In ACM Transactions on Multimedia Computing Communications and Applications , 2024, Accepted.
5. Xi Zhu, Fake Lin, Ziwei Zhao, Xiangyu Zhao, Tong Xu*, Zikai Yin, Xueying Li, Enhong Chen, Multi-Behavior Recommendation with Personalized Directed Acyclic Behavior Graphs, In ACM Transactions on Information Systems , 2024, Accepted.
6. Ziwei Zhao, Yu Yang, Zikai Yin, Tong Xu*, Xi Zhu, Fake Lin, Xueying Li, Enhong Chen, Adversarial Attack and Defense on Discrete Time Dynamic Graphs, In IEEE Transactions on Knowledge and Data Engineering, 2024, Accepted.
7. Zhize Wu, Pengpeng Sun, Keke Tang, Tong Xu, Xin Chen, Le Zou, Ming Tan, Xiaofeng Wang, Fan Cheng, Thomas Weise, SelfGCN: Graph Convolution Network with Self-Attention for Skeleton-based Action Recognition, In IEEE Transactions on Image Processing , 2024, Accepted.
8. Lixiang Xu, Yusheng Liu, Tong Xu, Enhong Chen, Yuanyan Tang, Graph Augmentation Empowered Contrastive Learning for Recommendation, In ACM Transactions on Information Systems , 2024, Accepted.
9. Yuanjie Lyu, Penggang Qin, Tong Xu*, Chen Zhu, Enhong Chen, InteractNet: Social Interaction Recognition for Semantic-rich Videos, In ACM Transactions on Multimedia Computing Communications and Applications, 2024, Accepted.
10. Shukang Yin, Sirui Zhao, Hao Wang, Tong Xu, Enhong Chen, Exploiting Instance-level Relationships in Weakly Supervised Text-to-Video Retrieval, In ACM Transactions on Multimedia Computing Communications and Applications, 2024, Accepted.
11. Yunkai Chen, Qimeng Wang, Shiwei Wu, Yan Gao, Tong Xu*, Yao Hu, TOMGPT: Reliable Text-Only Training Approach for Cost-Effective Multi-modal Large Language Model , In ACM Transactions on Knowledge Discovery from Data, 2024, Accepted.
12. Zipeng Gao, Jinke Wang, Tong Xu*, Zhefeng Wang, Yu Yang, Jia Su, Enhong Chen, Graph4IUR: Incomplete Utterance Rewriting with Semantic Graph , In ACM Transactions on Asian and Low-Resource Language Information Processing, 2024, Accepted.
13. Rui Zha, Ying Sun, Chuan Qin, Le Zhang, Tong Xu*, Hengshu Zhu, Enhong Chen, Towards Unified Representation Learning for Career Mobility Analysis with Trajectory Hypergraph, In ACM Transactions on Information Systems , 2024, Accepted.
14. Weidong He, Zhi Li, Hao Wang, Tong Xu*, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen, Multimodal Dialogue Systems via Capturing Context-aware Dependencies and Ordinal Information of Semantic Elements, In ACM Transactions on Intelligent Systems and Technology, 2024, Accepted.
15. Sirui Zhao, Huaying Tang, Xinglong Mao, Shifeng Liu, Yiming Zhang, Hao Wang, Tong Xu*, Enhong Chen, DFME: A New Benchmark for Dynamic Facial Micro-expression Recognition, In IEEE Transactions on Affective Computing, 2023, Accepted.
16. Penggang Qin , Shiwei Wu, Tong Xu*, Yanbin Hao , Fuli Feng, Chen Zhu, Enhong Chen, When I Fall in Love: Capturing Video-oriented Social Relationship Evolution via Attentive GNN, In IEEE Transactions on Circuits and Systems for Video Technology, 2023, Accepted.
17. Yuhan Dai, Zhirui Zhang, Yichao Du, Shengcai Liu, Lemao Liu, Tong Xu*, Datastore Distillation for Nearest Neighbor Machine Translation, In IEEE/ACM Transactions on Audio, Speech, and Language Processing , 2023, Accepted.
18. Tianfu Wang, Li Shen, Qilin Fan, Tong Xu, Tongliang Liu, Hui Xiong, Joint Admission Control and Resource Allocation of Virtual Network Embedding via Hierarchical Deep Reinforcement Learning, In IEEE Transactions on Services Computing , 2023, Accepted.
19. Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong, GIANT: Protein-Ligand Binding Affinity Prediction via Geometry-aware Interactive Graph Neural Network, In IEEE Transactions on Knowledge and Data Engineering , 2023, Accepted.
20. Weihao Zhao, Han Wu, Weidong He, Haoyang Bi, Hao Wang, Chen Zhu, Tong Xu, Enhong Chen, Hierarchical Multi-modal Attention Network for Time-sync Comment Video Recommendation, In IEEE Transactions on Circuits and Systems for Video Technology , 2023, Accepted.
21. 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, In ACM Transactions on Asian and Low-Resource Language Information Processing , 2023, Accepted.
22. Zikai Yin, Tong Xu*, Ziwei Zhao, Aakas Zhiyuli, Xueying Li, Enhong Chen, Competition Analysis on Enterprise Eco-systems via Multi-view Relational Hypergraph Embedding , In IEEE Transactions on Computational Social Systems , 2023, Accepted.
23. Rui Zha, Chuan Qin, Le Zhang, Dazhong Shen, Tong Xu, Hengshu Zhu, Enhong Chen, Career Mobility Analysis with Uncertainty-aware Graph Autoencoders: A Job Title Transition Perspective, In IEEE Transactions on Computational Social Systems , 2023, Accepted.
24. 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, In ACM Transactions on Multimedia Computing Communications and Applications , 2022, Accepted.
25. Pengfei Luo, Xi Zhu, Tong Xu*, Yi Zheng, Enhong Chen, Semantic Interaction Matching Network for Few-shot Knowledge Graph Completion, In ACM Transactions on the Web , 2022, Accepted.
26. Sirui Zhao, Huaying Tang, Shifeng Liu, Yangsong Zhang, Hao Wang, Tong Xu*, Enhong Chen, Cuntai Guan, ME-PLAN: A Deep Prototypical Learning with Local Attention Network For Dynamic Micro-Expression Recognition, In Neural Networks , 2022, Accepted.
27. Weijia Zhang, Hao Liu, Tong Xu, Fan Wang, Haoran Xin, Hua Wu, Hui Xiong, RLCharge: An Imitative Multi-Agent Reinforcement Learning Framework for Electric Vehicle Charging Station Recommendation, In IEEE Transactions on Knowledge and Data Engineering , 2022, Accepted.
28. Joya Chen, Dong Liu, Bin Luo, Xuezheng Peng, Tong Xu*, Enhong Chen, Residual Objectness for Imbalance Reduction, In Pattern Recognition , 2022, Accepted.
29. Zhe Zhang, Hui Xiong, Tong Xu*, Chuan Qin, Le Zhang, Enhong Chen, Complex Attributed Network Embedding for Medical Complication Prediction, In Knowledge and Information Systems , 2022, Accepted.
30. 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, In IEEE Transactions on Knowledge and Data Engineering , 2022, Accepted.
31. Yanbin Hao, Shuo Wang, Pei Cao, Xinjian Gao, Tong Xu, Jinmeng Wu, Xiangnan He, Attention in Attention: Modeling Context Correlation for Efficient Video Classification, In IEEE Transactions on Circuits and Systems for Video Technology , 2022, Accepted.
32. Liyi Chen, Zhi Li, Weidong He, Gong Cheng, Tong Xu*, Jing Yuan, Enhong Chen, Entity Summarization via Exploiting Description Complementarity and Salience, In IEEE Transactions on Neural Networks and Learning Systems , 2022, Accepted.
33. Chuan Qin, Kaichun Yao, Hengshu Zhu, Tong Xu, Dazhong Shen, Enhong Chen, Hui Xiong, Towards Automatic Job Description Generation with Capability-Aware Neural Networks, In IEEE Transactions on Knowledge and Data Engineering , 2022, Accepted.
34. 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, In ACM Transactions on Information Systems , 2022, Accepted.
35. Yuyang Ye, Zheng Dong, Hengshu Zhu, Tong Xu, Xin Song, Runlong Yu, Hui Xiong, MANE: Organizational Network Embedding with Multiplex Attentive Neural Networks, In IEEE Transactions on Knowledge and Data Engineering , 2021, Accepted.
36. Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen, Color Enhanced Cross Correlation Net for Image Sentiment Analysis, In IEEE Transactions on Multimedia , 2021, Accepted. [Link]
37. Dan Li, Tong Xu*, Peilun Zhou, Weidong He, Yanbin Hao, Yi Zheng, Enhong Chen, Social Context-aware Person Search in Videos via Multi-modal Cues, In ACM Transactions on Information Systems , 2021, 40(3):52. [Link]
38. Joya Chen, Dong Liu, Tong Xu, Shiwei Wu, Yifei Cheng, Enhong Chen, Is Heuristic Sampling Necessary in Training Deep Object Detectors, In IEEE Transactions on Image Processing , 2021, 30, 8454-8467. [Link]
39. Dazhong Shen, Hengshu Zhu, Chuan Qin, Tong Xu, Enhong Chen, Hui Xiong, Joint Representation Learning with Relation-enhanced Topic Models for Intelligent Job, In ACM Transactions on Information Systems , 2021, 40(1):15. [Link]
40. Lintao Fang, Le Zhang, Han Wu, Tong Xu*, Ding Zhou, Enhong Chen, Patent2Vec: Multi-view Representation Learning on Patent-Graphs for Patent Classification, In World Wide Web , 2021, 24(5), 1791-1812. [Link]
41. Sirui Zhao, Hanqing Tao, Yangsong Zhang, Tong Xu, Kun Zhang, Zhongkai Hao, Enhong Chen, A Two-stage 3D CNN based Learning Method for Spontaneous Micro-Expression Recognition, In Neurocomputing , 2021, 448(2021), 276-289. [PDF]
42. Dan Li, Tong Xu, Yi Zheng, Zhefeng Wang, Enhong Chen, Radical-aware Entity Recognition on Chinese Medical Records, In Journal of Chinese Information Processing (in Chinese), 2020, 34(12), 54-64. [PDF]
43. Weijia Zhang, Hao Liu, Yanchi Liu, Jingbo Zhou, Tong Xu, Hui Xiong, Semi-Supervised City-Wide Parking Availability Prediction via Hierarchical Recurrent Graph Neural Network, In IEEE Transactions on Knowledge and Data Engineering, 2020, Accepted. [Link]
44. Yanan Wang, Tong Xu, Xin Niu, Chang Tan, Enhong Chen, Hui Xiong, STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control, In IEEE Transactions on Mobile Computing, 2020, Accepted. [Link]
45. Tong Xu, Peilun Zhou, Enhong Chen, Uncertainty in Multimodal Semantic Understanding, In Communication of China Association of Artificial Intelligence (in Chinese), 2020(9), 7-11. [PDF]
46. Yichao Du, Tong Xu, Jianhui Ma, Enhong Chen, Yi Zheng, Tongzhu Liu, Guixian Tong, An Automatic ICD Coding Method for Clinical Records based on Deep Neural Network, In Big Data Research (in Chinese), 2020, 6(5), 3-15. [PDF]
47. Dazhong Shen, Qi Zhang, Tong Xu, Hengshu Zhu, Wenjia Zhao, Zikai Yin, Peilun Zhou, Lihua Fang, Enhong Chen, Hui Xiong, A Machine Learning-enhanced Robust P-Phase Picker for Real-time Seismic Monitoring, In SCIENTIA SINICA Informationis (in Chinese), 2021, 51(6): 912-926. [Link]
48. Tong Xu*, Peilun Zhou*, Linkang Hu, Xiangnan He, Yao Hu, Enhong Chen, Socializing the Videos: A Multimodal Approach for Social Relation Recognition, In ACM Transactions on Multimedia Computing Communications and Applications, 2021, 17(1):23. [Link]
49. Zhi Zheng, Tong Xu*, Chuan Qin, Xiangwen Liao, Yi Zheng, Tongzhu Liu, Guixian Tong, Multi-source Contextual Collaborative Recommendation for Medicine, In Journal of Computer Research and Development (in Chinese), 2020, 57(8), 1741-1754. [PDF]
50. Joya Chen, Hao Du, Yufei Wu, Tong Xu*, Enhong Chen, Cross-Modal Video Moment Retrieval based on Visual-Textual Relationship Alignment, In SCIENTIA SINICA Informationis (in Chinese), 2020, 50(6), 862-876. [Link]
51. Yang Liu, Zhi Li, Wei Huang, Tong Xu*, Enhong Chen, Exploiting Structural and Temporal Influence for Dynamic Social-Aware Recommendation, In Journal of Computer Science and Technology, 2020, 35(2), 281-294. [PDF]
52. Kai Li, Tong Xu, Shuai Feng, Lisheng Qiao, Huawei Shen, Tianyang Lv, Xueqi Chen, Enhong Chen, The Propagation Background in Social Networks: Simulating and Modeling, In International Journal of Automation and Computing, 2020, 17(3), 353-363. [PDF]
53. Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Chao Ma, Enhong Chen, Hui Xiong, An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment, In ACM Transactions on Information Systems, 2020, 38(2):15. [Link]
54. Peilun Zhou, Tong Xu, Zhizhuo Yin, Dong Liu, Enhong Chen, Guangyi Lv, Changliang Li, Character-oriented Video Summarization with Visual and Textual Cues, In IEEE Transactions on Multimedia, 2020, 22(10), 2684-2697. [Link]
55. Guangyi Lv, Kun Zhang, Le Wu, Enhong Chen, Tong Xu, Qi Liu, Weidong He, Understanding the Users and Videos by Mining a Novel Danmu Dataset, In IEEE Transactions on Big Data, 2019, Accepted. [Link]
56. Zikai Yin, Tong Xu, Hengshu Zhu, Chen Zhu, Enhong Chen, Hui Xiong, Matching of Social Events and Users: A Two-Way Selection Perspective, In World Wide Web, 2020, 23(2), 853-871. [Link]
57. Hui Zhong, Zaiyi Chen, Chuan Qin, Zai Huang, Vincent W. Zheng, Tong Xu, Enhong Chen, Adam Revisited: A Weighted Past Gradients Perspective, In Frontiers of Computer Science, 2020, 14, 145309 (2020). [Link]
58. Tong Xu, Hengshu Zhu, Hui Xiong, Hao Zhong, Enhong Chen, Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Network, In IEEE Transactions on Mobile Computing, 2020, 19(8), 1804-1817. [Link]
59. Hongke Zhao, Binbin Jin, Qi Liu, Yong Ge, Enhong Chen, Xi Zhang, and Tong Xu, Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding, In IEEE Transactions on Knowledge and Data Engineering, 2020, 32(8), 1652-1665. [Link]
60. Tong Xu, Hengshu Zhu, Hao Zhong, Guannan Liu, Hui Xiong, Enhong Chen, Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation, In IEEE Transactions on Knowledge and Data Engineering, 2019, 31(6), 1122-1135. [Link][Data]
61. Guifeng Wang, Qi Liu, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen, Product Supply Optimization for Crowdfunding Campaigns, In IEEE Transactions on Big Data, 2020, 6(4), 741-756. [Link]
62. Biao Chang, Enhong Chen, Feida Zhu, Qi Liu, Tong Xu, Zhefeng Wang, Maximum a Posteriori Estimation for Information Source Detection, In IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020, 50(6), 2242-2256. [Link]
63. Biao Chang, Tong Xu, Qi Liu, Enhong Chen, Study on Information Diffusion Analysis in Social Networks and its Applications, In International Journal of Automation and Computing , 2018, 15(4), 377-401. [PDF]
64. Hefu Zhang, Hongke Zhao, Qi Liu, Tong Xu, Enhong Chen, Xunpeng Huang, Finding Potential Lenders in P2P Lending: A Hybrid Random Walk Approach, In Information Sciences, 432(2018), 376-391. [PDF]
65. Dongfang Du, Tong Xu*, Yanan Lu, Chu Guan, Qi Liu, Enhong Chen, User Rating Prediction based on Trust-driven Probabilistic Matrix Factorization, In Journal of Software (in Chinese), 2018, 29(12):3747-3763. [PDF]
66. Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu, Tong Xu, Hui Xiong, Tracking the Evolution of Social Emotions with Topic Models, In Knowledge and Information System (Springer KIS), 2016, 47:517-544. [PDF]
67. Xianyu Zeng, Qi Liu, Hongke Zhao, Tong Xu, Yijun Wang, Enhong Chen, Online Consumption Prediction via Modeling User Behaviors and Choices, In Journal of Computer Research and Development (in Chinese), 2016, 53(8):1673-1683. [PDF]
68. Tong Xu, Hengshu Zhu, Enhong Chen, Baoxing Huai, Hui Xiong, Jilei Tian, Learning to Annotate via Social Interaction Analytics, In Knowledge and Information System (Springer KIS), 2014, 41:251-276. [PDF][Data]
69. Enhong Chen, Tong Xu, Jilei Tian, Yu Yang, Personalized Recommendation via Mobile Context-Aware Mining, In Communication of China Computer Federation (in Chinese), 2013(3):18-24. [PDF]

• 国家优秀青年科学基金, 群智感知数据挖掘（62222213）, 2023-2025
• 国家自然科学基金面上项目, 群智融合的多模态知识图谱构建方法研究（62072423）, 2021-2024
• 国家自然科学基金青年基金项目, 瞬时社交网络下的合作竞争行为建模及应用研究（61703386）, 2018-2020
• 国家重点研发计划子课题, 科技大数据的数据挖掘与演进规律（2018YFB1402603）, 2019-2022
• 安徽省自然科学基金, 社会主体的协作行为建模研究（1708085QF140）, 2017-2019
• MSRA Collaborative Research, Event-driven Emphemeral Social Network: Estimation, Prediction and Application, 2019-2020
• 百度松果计划项目, 基于人才流动分析的商务智能研究, 2019-2020

编委会成员： Frontiers of Computer Science.
领域主席： KDD, ACL, COLING, AACL, ICKG, SMP, CCKS.
程序委员会高级委员/委员：KDD, WWW, ACM MM, SIGIR, AAAI, IJCAI, NeurIPS, etc.
期刊审稿： IEEE TKDE, TSMC-Systems, TBD, TNNLS, ACM TKDD, TIST, WWW Journal, JCST, etc.

USTC: Enhong Chen, Xiangnan He, Qi Liu, Dong Liu, Defu Lian
Rutgers: Hui Xiong
Baidu: Hengshu Zhu
MSU: Xiangyu Zhao