Jie Tang (Tang, Jie) 唐 杰

FULL PUBLICATION LIST    (Back to Jie Tang (Tang, Jie) 's Homepage)
An overview of the recent research in our laboratory: Computational Models for Micro-level Social Network Analysis ([PDF Version])

Books

1. Jie Tang and Juanzi Li. Semantic Mining of Social Networks. Morgan & Claypool Publishers, 2015. [DRAFT]

Edit Proceedings

1. Guilin Qi, Jie Tang, Jianfeng Du, Jeff Pan, and Yong Yu. Seventh Chinese Semantic Web Symposium and the Second Chinese Web Science Conference, CSWS 2013, Shanghai, China, August 12-16, 2013. CCIS Volume 406. [Online Version]
2. Jie Tang, Irwin King, Ling Chen and Jianyong Wang. Advanced Data Mining and Applications 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part I. LNCS Volume 7120. [Online Version]
3. Jie Tang, Irwin King, Ling Chen and Jianyong Wang. Advanced Data Mining and Applications 7th International Conference, ADMA 2011, Beijing, China, December 17-19, 2011, Proceedings, Part II. LNCS Volume 7121. [Online Version]

Book Chapters

1. Jimeng Sun and Jie Tang. A Survey of Models and Algorithms for Social Influence Analysis. In the book of Social Network Data Analysis. Charu C. Aggarwal (Ed.), Kluwer Academic Publishers, pages 177-214, 2011. [PDF]
2. Jie Tang, Duo Zhang, Limin Yao, and Yi Li. Automatic Semantic Annotation using Machine Learning. In the book of The Semantic Web for Knowledge and Data Management: Technologies and Practices. Zhongmin Ma (Ed.), Springer Inc., 2008.
3. Jie Tang, Bangyong Liang, and Juanzi Li. SWARMS: A Platform for Domain Knowledge Management and Applications. In the book of The Semantic Web for Knowledge and Data Management: Technologies and Practices. Zhongmin Ma (Ed.), Springer Inc., 2008.
4. Jie Tang, Mingcai Hong, Duo Zhang, Bangyong Liang, and Juanzi Li. Information Extraction: Methodologies and Applications. In the book of Emerging Technologies of Text Mining: Techniques and Applications, Hercules A. Prado and Edilson Ferneda (Ed.), Idea Group Inc., Hershey, USA, 2007, pages 1-33 [PDF]

Journal Publications

1. Bo Chen, Ziwei Xie, Jiezhong Qiu, Zhaofeng Ye, Jinbo Xu, and Jie Tang. Improved the heterodimer protein complex prediction with protein language models Get access Arrow. Briefings in Bioinformatics, , Volume 24, Issue 4, July 2023, bbad221, https://doi.org/10.1093/bib/bbad221.
2. Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, and Jie Tang. Does Negative Sampling Matter? A Review with Insights into its Theory and Applications. IEEE Transaction on Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2024.
3. Yuyang Xie, Yuxiao Dong, Jiezhong Qiu, Wenjian Yu, Xu Feng, and Jie Tang. SketchNE: Embedding Billion-Scale Networks Accurately in One Hour. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2023 (to appear).
4. Yuyang Xie, Jiezhong Qiu, Laxman Dhulipala, Wenjian Yu, Jie Tang, Richard Peng, and Chi Wang. Towards Lightweight and Automated Representation Learning System for Networks. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2023 (to appear).
5. Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, and Kuansan Wang. OAG: Linking Entities across Large-Scale Heterogeneous Knowledge Graphs. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2023 (to appear).
6. Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Qing Li, Wenzheng Feng, and Jie Tang. Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. IEEE Transactions on the Web (TWEB), 2023 (to appear).
7. Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, and Jie Tang. GCCAD: Graph Contrastive Learning for Anomaly Detection. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2022 (accepted).
8. Alexandre Boulenger, Yanwen Luo, Chenhui Zhang, Chenyang Zhao, Yuanjing Gao, Mengsu Xiao, Qingli Zhu, and Jie Tang. Deep learning-based system for automatic prediction of triple-negative breast cancer from ultrasound images. Medical & Biological Engineering & Computing, 2022.
9. Zhen Yang, Ming Ding, Xu Zou, Jie Tang, Bin Xu, Chang Zhou, and Hongxia Yang. Region or Global? A Principle for Negative Sampling in Graph-based Recommendation. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2022 (accepted). [PDF] [*Code&Data*]
10. Shu Zhao, Ziwei Du, Jie Chen, Yanping Zhang, Jie Tang, and Philip S. Yu. Hierarchical Representation Learning for Attributed Networks. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2021 (accepted). [PDF] [*Code&Data*]
11. Zhenyu Hou, Yukuo Cen, Yuxiao Dong, Jie Zhang, and Jie Tang. Automated Unsupervised Graph Representation Learning. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2021 (accepted). [PDF] [*Code&Data*]
12. Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, and Jie Tang. CogKR: Cognitive Graph for Multi-hop Knowledge Reasoning. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2021 (accepted). [PDF] [*Code&Data*]
13. Jie Gong, Xiao Liu, and Jie Tang. How Monetary Incentives Improve Outcomes in MOOCs: Evidence from a Field Experiment. Journal of Economic Behavior and Organization (JEBO), 2021 (accepted). [PDF]
14. Xiao Liu, Fanjin Zhang, Zhenyu Hou, Li Mian, Zhaoyu Wang, Jing Zhang, and Jie Tang. Self-supervised Learning: Generative or Contrastive. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2021 (accepted). [PDF] [Arxiv] [*Slides*]
15. Da Yin, Weng Lam Tam, Ming Ding, and Jie Tang. MRT: Tracing the Evolution of Scientific Publications. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2021 (accepted). [PDF] [Slides_pptx] [Slides_pdf] [*System*]
16. Xiao Liu, Li Mian, Yuxiao Dong, Fanjin Zhang, Jing Zhang, Jie Tang, Peng Zhang, Jibing Gong, and Kuansan Wang. OAG_know: Self-supervised Learning for Linking Knowledge Graphs. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2021. [PDF] [*Data*] [*Code*]
17. Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, and Jun Zhu. Pre-Trained Models: Past, Present and Future. AI Open Journal, 2021. [PDF]
18. Xueyi Liu and Jie Tang. Network Representation Learning: A Macro and Micro Outlook. AI Open Journal, 2021. [PDF] [Slides]
19. Fanjin Zhang, Jie Tang, Xueyi Liu, Zhenyu Hou, Yuxiao Dong, Jing Zhang, Xiao Liu, Ruobing Xie, Kai Zhuang, Xu Zhang, Leyu Lin, and Philip S. Yu. Understanding WeChat User Preferences and “Wow” Diffusion. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2021. [PDF] [Slides_ppt] [Slides_pdf] [*Code*] [*Data*]
20. Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, and Jie Tang. Modelling High-Order Social Relations for Item Recommendation. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2020 (accepted). [PDF]
21. Bo Chen, Jing Zhang, Jie Tang, Lingfan Cai, Zhaoyu Wang, Shu Zhao, Hong Chen, and Cuiping Li. CONNA: Addressing Name Disambiguation on The Fly. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2020 (accepted). [PDF]
22. Huailan Liu, Zhiwang Chen, Jie Tang, Yuan Zhou, and Sheng Liu. Mapping the technology evolution path: a novel model for dynamic topic detection and tracking. Scientometrics, 2020 (accepted). [PDF]
23. Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, and Wei Fan. Incomplete Network Alignment: Problem Definitions and Fast Solutions. ACM Transactions on Knowledge Discovery from Data (TKDD), 2020, accepted. [PDF]
24. Fuli Feng, Xiangnan He, Jie Tang, and Tat-Seng Chua. Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2019 (accepted). [PDF]
25. Zhengxiao Du, Jie Tang, and Yuhui Ding. POLAR++: Active One-shot Personalized Article Recommendation. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2019 (accepted). [PDF]
26. Yukuo Cen, Jing Zhang, Gaofei Wang, Yujie Qian, Chuizheng Meng, Zonghong Dai, Hongxia Yang, and Jie Tang. Trust Relationship Prediction in Alibaba E-Commerce Platform. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2019 (accepted). [PDF]
27. Christos Giatsidis, Giannis Nikolentzos, Chenhui Zhang, Jie Tang, and Michalis Vazirgiannis. Density-based Influence Metrics for Research Papers. Journal of Informetrics, 2019, (accepted). [PDF]
28. Daifeng Li, Yintian Wang, Andrew Madden, Ying Ding, Jie Tang, Gordon Guozheng Sun, Ning Zhang, and Enguo Zhou. Analyzing Stock Market trends using Social Media User Moods and Social Influence. Journal of the American Society for Information Science and Technology (JASIST), 2019. [PDF]
29. Sha Yuan, Yu Zhang, Jie Tang, Wendy Hall, and Juan Bautista Cabotà. Expert Finding in Community Question Answering: A Review. Artificial Intelligence Review, 2020, Volume 53, Issue 2, Pages 843-874. [PDF] [Arxiv]
30. Yao Wan, Liang Chen, Guandong Xu, Zhou Zhao, Jie Tang, and Jian Wu. SCSMiner: mining social coding sites for software developer recommendation with relevance propagation. World Wide Web Journal, 2018, Volume 21, Issue 6, Pages 1523-1543. [PDF]
31. Kan Wu, Jie Tang, Zhou Shao, Xinyi Xu, and Bo Gao. CareerMap: Visualizing Career Trajectory. Science China Information Sciences, 2018, Volume 61, Issue 10, Pages 104101:1-3. [PDF] [PDF] [Demo]
32. Xiancheng Li, Wenge Rong, Haoran Shi, Jie Tang, Zhang Xiong. The Impact of Conference Ranking Systems in Computer Science: A Comparative Regression Analysis. Scientometrics, 2018, Volume 116, Issue 2, Pages 879–907. [PDF]
33. Xiaotao Gu, Hong Yang, Jie Tang, Jing Zhang, Fanjin Zhang, Debing Liu, Wendy Hall, and Xiao Fu. Profiling Web Users Using Big Data. Social Network Analysis and Mining (SNAM), 2018, Volume 8, Issue 1, Pages 24:1-17. [PDF]
34. Hong Huang, Yuxiao Dong, Jie Tang, Hongxia Yang, Nitesh V. Chawla, and Xiaoming Fu. Will Triadic Closure Strengthen Ties in Social Networks? ACM Transactions on Knowledge Discovery from Data (TKDD), 2018, Volume 12, Issue 3, Article No. 30. [PDF]
35. Tian Qin, Wufan Shangguan, Guojie Song, and Jie Tang. Spatio-Temporal Routine Mining on Mobile Phone Data. ACM Transactions on Knowledge Discovery from Data (TKDD), 2018, Volume 12, Issue 5, Article No. 56. [PDF]
36. Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, Juanzi Li, Walter Luyten, and Marie-Francine Moens. Fast and Flexible Top-k Similarity Search on Large Networks. ACM Transactions on Information Systems (TOIS), 2017, Volume 36, Issue 2, Article No. 13. [PDF]
37. Lei Hou, Juanzi Li, Xiao-Li Li, Jie Tang, and Xiaofei Guo. Learning to Align Comments to News Topics. ACM Transactions on Information Systems (TOIS), 2017, Volume 36, Issue 1, Article No. 9. [PDF]
38. Yang Yang, Jie Tang, and Juanzi Li. Learning to Infer Competitive Relationships in Heterogeneous Networks. ACM Transactions on Knowledge Discovery from Data (TKDD), 2018, Volume 12 Issue 1, Article No. 12. [PDF]
39. Huijie Lin, Jia Jia, Jiezhong Qiu, Yongfeng Zhang, Guangyao Shen, Lexing Xie, Jie Tang, Ling Feng, and Tat-Seng Chua. Detecting Stress Based on Social Interactions in Social Networks. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2017, Volume 29, Issue 9, Pages 1820-1833. [PDF]
40. Yuxiao Dong, Nitesh V. Chawla, Jie Tang, Yang Yang, and Yang Yang. User Modeling on Demographic Attributes in Large-Scale Mobile Social Networks. ACM Transactions on Information Systems (TOIS), 2017, Volume 35, Issue 4, Article No. 35. [PDF]
41. Boya Wu, Jia Jia, Yang Yang, Peijun Zhao, Jie Tang, and Qi Tian. Inferring Emotional Tags From Social Images With User Demographics. IEEE Transactions on Multimedia (TMM), 2017, Volume 19, Issue 7, Pages 1670-1684. [PDF]
42. Guojie Song, Yuanhao Li, Xiaodong Chen, Xinran He, and Jie Tang. Influential Node Tracking on Dynamic Social Network: An Interchange Greedy Approach. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2017, Volume 29, Issue 2, Pages 359-372. [PDF]
43. Yifan Qian, Wenge Rong, Nan Jiang, Jie Tang, and Zhang Xiong. Citation regression analysis of computer science publications in different ranking categories and subfields. Scientometrics, 2017, Volume 110, Issue 3, Pages 1351-1374. [PDF]
44. Jie Tang, Tiancheng Lou, Jon Kleinberg, and Sen Wu. Transfer Learning to Infer Social Ties across Heterogeneous Networks. ACM Transactions on Information Systems (TOIS), 2016, Volume 34, Issue 2, Article No. 7. [PDF] [Data&Code]
45. Zhiyuan Wang, Yun Zhou, Jie Tang, and Jar-Der Luo. The Prediction of Venture Capital Co-Investment Based on Structural Balance Theory. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2016, Volume 28, Issue 2, Pages 537-550. [PDF]
46. Daifeng Li, Zhipeng Luo, Ying Ding, Jie Tang, Gordon Guo-zheng Sun, Xiaowen Dai, John Du, Jingwei Zhang, and Shoubin Kong. User-level microblogging recommendation incorporating social influence. Journal of the American Society for Information Science and Technology (JASIST), 2016, Volume 68, Issue 3, Pages 553-568. [PDF]
47. Huaiyu Wan, Marie-Francine Moens, Walter Luyten, Xuezhong Zhou, Qiaozhu Mei, Lu Liu, and Jie Tang. Extracting Relations from Traditional Chinese Medicine Literature via Heterogeneous Entity Networks. Journal of the American Medical Informatics Association (JAMIA), 2016, Volume 23, Issue 2, Pages 356-365. [PDF]
48. Lei Shi, Hanghang Tong, Jie Tang, and Chuang Lin. VEGAS: Visual influEnce GrAph Summarization on Citation Networks. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2015, Volume 27, Issue 12, Pages 3417-3431. [PDF] [Video Demo]
49. Hong Huang, Jie Tang, Lu Liu, JarDer Luo, and Xiaoming Fu. Triadic Closure Pattern Analysis and Prediction in Social Networks. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2015, Volume 27, Issue 12, Pages 3374-3389. [PDF]
50. Jing Zhang, Zhanpeng Fang, Wei Chen, and Jie Tang. Diffusion of "Following" Links in Microblogging Networks. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2015, Volume 27, Issue 8, Pages 2093-2106. [PDF]
51. Shu Zhao, Qing Cao, Jie Chen, Yanping Zhang, Jie Tang, and Zhen Duan. A multi-ATL method for transfer learning across multiple domains with arbitrarily different distribution. Knowledge-Based Systems, 2016, Volume 94, Issue C, Pages 60-69 .
52. Xing Tang, Qiguang Miao, Yining Quan, Jie Tang, and Kai Deng. Predicting Individual Retweet Behavior by User Similarity: A Multi-Task Learning Approach. Knowledge-Based Systems, 2015, Volume 89, Pages 681-688. [PDF]
53. Li Liu, Dandan Song, Jie Tang, Lejian Liao, Xin Li, and Jianguang Du. FriendBurst: Ranking People Who Get Friends Fast in a Short Time. Neurocomputing, 2016, Volume 210, Pages 116-129. [PDF]
54. Xiaohui Wang, Jia Jia, Jie Tang, Boya Wu, Lianhong Cai, and Lexing Xie. Modeling Emotion Influence in Image Social Networks. IEEE Transactions on Affective Computing (TAC), 2015, Volume 6, Issue 3, Pages 286-297. [PDF]
55. Yuxiao Dong, Jie Tang, Nitesh V. Chawla, Tiancheng Lou, Yang Yang, and Bai Wang. Inferring social status and rich club effects in enterprise communication networks. PLOS ONE, 2015,Volume 10, Issue 3, Pages e0119446.
56. Jing Zhang, Jie Tang, Juanzi Li, Yang Liu, and Chunxiao Xing. Who Influenced You? Predicting Retweet via Social Influence Locality. ACM Transactions on Knowledge Discovery from Data (TKDD), 2015, Volume 9, Issue 3, Article No. 25. [PDF] [Code&Data]
57. Ivan Vulic, Wim De Smet, Jie Tang, and Marie-Francine Moens. Probabilistic topic modeling in multilingual settings: An overview of its methodology and applications. Information Processing & Management (IPM), 2015, Volume 51, Issue 1, Pages 111-147. [PDF]
58. Zhixing Li, Juanzi Li, Yi Liao, Siqiang Wen, and Jie Tang. Labeling Clusters from both Linguistic and Statistical Perspectives: A Hybrid Approach. Knowledge-Based Systems, 2015, Volume 76, Pages 219-227. [PDF]
59. Lei Hou, Juanzi Li, Zhichun Wang, Jie Tang, Peng Zhang, Ruibing Yang, and Qian Zheng. NewsMiner: Multifaceted News Analysis for Event Search. Knowledge-Based Systems, 2015, Volume 76, Pages 17-29. [PDF]
60. Yizhou Sun, Jie Tang, Jiawei Han, Cheng Chen, and Manish Gupta. Co-Evolution of Multi-Typed Objects in Dynamic Star Networks. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2014, Volume 26, Issue 12, Pages 2942-2955. [PDF]
61. Jamal Yousaf, Juanzi Li, Lu Chen, Jie Tang, and Xiaowen Dai. Generalized multipath planning model for ride-sharing systems. Frontiers of Computer Science (FCS), 2014, Volume 8, Issue 1, Pages 100-118.
62. Steve Huynh, Dave Parry, ACM Fong, and Jie Tang. Novel RFID and ontology based Home Localization System for Misplaced Objects. IEEE Transactions on Consumer Electronics (TCE), 2014, Volume 60, Issue 3, Pages 402 - 410. [PDF]
63. Daifeng Li, Ying Ding, Xin Shuai, Guozheng Sun, Jie Tang, Zhipeng Luo, Jingwei Zhang, and Tamy Chambers. Topic-Level Opinion Influence Model (TOIM): An Investigation Using Tencent Microblogging. Journal of the American Society for Information Science and Technology (JASIST), 2015, Volume 66, Issue 12, Pages 2657-2673. [PDF]
64. Jibing Gong, Jie Tang, and A.C.M. Fong. ACTPred: Activity Prediction in Mobile Social Networks. Journal of Tsinghua Science and Technology, 2014, Volume 19, Issue 3, Pages 265-274. [PDF]
65. Yanping Zhang, Heng Zhang, Huazhen Wei, Jie Tang, and Shu Zhao. Multiple-Instance Learning with Instance Selection via Constructive Covering Algorithm. Journal of Tsinghua Science and Technology, 2014, Volume 19, Issue 3, Pages 285-292. [PDF]
66. Tiancheng Lou, Jie Tang, John Hopcroft, Zhanpeng Fang, Xiaowen Ding. Learning to Predict Reciprocity and Triadic Closure in Social Networks. ACM Transactions on Knowledge Discovery from Data (TKDD), 2013, Volume 7, Issue 2, Article No. 5. [PDF] [Code&Data] [System]
67. Yi Cai, Ho-fung Leung, Qing Li, Hao Han, Jie Tang, Juanzi Li. Typicality-based Collaborative Filtering Recommendation. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2014, Volume 26, Issue 3, Pages 766-779. [PDF]
68. Steven J. Anderson, ACM Fong and Jie Tang. Robust tri-modal automatic speech recognition for consumer applications. IEEE Transactions on Consumer Electronics (TCE), 2013, Volume 59, Issue 2, Pages 352 - 360.
69. Xin Shuai, Ying Ding, Jerome Busemeyer, Shanshan Chen, Yuyin Sun, and Jie Tang. Modeling Indirect Influence on Twitter. International Journal On Semantic Web and Information Systems (IJSWIS), 2013, Volume 8, Issue 4, Pages 20-36. [Draft Version]
70. Zhong-Yuan Zhang, Tao Li, Chris Ding, and Jie Tang. A NMF-framework for Unifying Posterior Probabilistic Clustering and Probabilistic Latent Semantic Indexing. In Communications in Statistics-Theory and Methods, 2014, Volume 43, Issue 19, Pages 4011-4024. [Full Text] (if =0.274).
71. Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Chenhao Tan, and Zi Yang. Query-dependent Cross Domain Ranking in Heterogeneous Network. Knowledge and Information Systems, 2013, Volume 34, Issue 1, Pages 109-145. [PDF]
72. Bing He, Ying Ding, Jie Tang, Vignesh Reguramalingam, and Johan Bollen. Mining diversity subgraph in multidisciplinary scientific collaboration networks: A meso perspective. Journal of Informetrics, 2013, Volume 7, Issue 1, Pages 117-128. [Full Text]
73. Juanzi Li, Zhichun Wang, Xiao Zhang, and Jie Tang. Large scale instance matching via multiple indexes and candidate selection. Knowledge-Based Systems, 2013, Volume 50, Pages 112-120. [PDF]
74. Zhichun Wang, Juanzi Li, Yue Zhao, Rossi Setchi, and Jie Tang. A unified approach to matching semantic data on the Web. Knowledge-Based Systems, 2013, Volume 39, Pages 173-184. [PDF]
75. Jie Tang, A.C.M. Fong, Bo Wang, and Jing Zhang. A Unified Probabilistic Framework for Name Disambiguation in Digital Library. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2012, Volume 24, Issue 6, Pages 975-987. [PDF] [Data]
76. Honglei Zhuang, Jie Tang, Wenbin Tang, Tiancheng Lou, Alvin Chin, and Xia Wang. Actively Learning to Infer Social Ties. In Data Mining and Knowledge Discovery (DMKD), 2012, Volume 25, Issue 2, Pages 270-297. [PDF] [Data&Code]
77. Lu Liu, Jie Tang, Jiawei Han, and Shiqiang Yang. Learning Influence from Heterogeneous Social Networks. In Data Mining and Knowledge Discovery (DMKD), 2012, Volume 25, Issue 3, Pages 511-544. [Draft Version] [Data&Code] [Code]
78. Jie Tang, Yuan Zhang, Jimeng Sun, Jinghai Rao, Wenjing Yu, Yiran Chen, and ACM Fong. Quantitative Study of Individual Emotional States in Social Networks. IEEE Transactions on Affective Computing (TAC), 2012, Volume 3, Issue 2, Pages 132-144. [PDF] (Selected as the Spotlight Paper)
79. Lixin Shi, Yuhang Zhao, and Jie Tang. Batch Mode Active Learning for Networked Data. ACM Transactions on Intelligent Systems and Technology (TIST), 2012, Volume 3, Issue 2, Pages 33:1-33:25. [PDF] [Data&Code]
80. A.C.M. Fong, Baoyao Zhou, Siu C. Hui, Jie Tang, and Guan Y. Hong. Generation of personalized ontology based on consumer emotion and behavior analysis. IEEE Transactions on Affective Computing (TAC), 2012, Volume 3, Issue 2, Pages 152-164.
81. Wenbin Tang, Jie Tang, Tao Lei, Chenhao Tan, Bo Gao, and Tian Li. On Optimization of Expertise Matching with Various Constraints. Neurocomputing, 2012, Volume 76, Issue 1, Pages 71-83. [PDF]
82. Daifeng Li, Ying Ding, Xin Shuai, Johan Bollen, Jie Tang, Shanshan Chen, Jiayi Zhu, Guilherme Rocha. Adding Community and Dynamic to Topic Models. Journal of Informetrics, 2012, Volume 6, Issue 2, Pages 237-253. [PDF]
83. Nan Lin, Daifeng Li, Ying Ding, Bing He, Zheng Qin, Jie Tang, Juanzi Li, and Tianxi Dong. The dynamic features of Delicious, Flickr, and YouTube. Journal of the American Society for Information Science and Technology (JASIST), 2012, Volume 63, Issue 1, Pages 139-162.
84. Zi Yang, Jie Tang, Juanzi Li, and Wenjun Yang. Social Community Analysis via Factor Graph Model. IEEE Intelligent Systems, 2011, Volume 26, Issue 3, Pages 58-65. (if =3.14) [PDF] [URL]
85. Bing He, Jie Tang, Ying Ding, Huijun Wang, Yuyin Sun, Jae Hong Shin, Bin Chen, Ganesh Moorthy, Judy Qiu, Pankaj Desai, David J. Wild. Mining relational paths in integrated biomedical data. PLOS ONE, 2011, Volume 6, Issue 12, Pages e27506. [PDF]
86. Daifeng Li, Ying Ding, Cassidy Sugimoto, Bing He, Jie Tang, Erjia Yan, Nan Lin, Zheng Qin, Tianxi Dong. Modeling Topic and Community Structure in Social Tagging: the TTR-LDA-Community Model. Journal of the American Society for Information Science and Technology (JASIST), 2011, Volume 62, Issue 9, Pages 1849-1866.
87. Huijun Wang, Ying Ding, Jie Tang, Xiao Dong, Bing He, Judy Qiu, and David J. Wild. Finding complex biological relationships in recent PubMed articles using Bio-LDA. PLOS ONE, 2011, Volume 6, Issue 3, Pages e17243. [PDF] [URL]
88. Jie Tang, Jing Zhang, Ruoming Jin, Zi Yang, Keke Cai, Li Zhang, and Zhong Su. Topic Level Expertise Search over Heterogeneous Networks. Machine Learning Journal, 2011, Volume 82, Issue 2, Pages 211-237. [PDF] [URL]
89. Zhong-Yuan Zhang, Chris Ding, and Jie Tang. Note on Algorithm Differences Between Nonnegative Matrix Factorization And Probabilistic Latent Semantic Indexing. Journal of Convergence Information Technology, 2011, Volume 6, Issue 9, Pages 210-219. [PDF]
90. Jie Tang, Limin Yao, Duo Zhang, and Jing Zhang. A Combination Approach to Web User Profiling. ACM Transactions on Knowledge Discovery from Data (TKDD), 2010, Volume 5, Issue 1, Article 2. [PDF]
91. Jie Tang and Jing Zhang. Modeling the Evolution of Associated Data. Data & Knowledge Engineering (DKE), 2010, Volume 69, Issue 9, Pages 965-978. [PDF] [URL]
92. Feng Wang, Jie Tang, Juanzi Li, and Kehong Wang. A Constraint-based Topic Modeling Approach for Name Disambiguation. Frontiers of Computer Science in China, 2010, Volume 4, Issue 1, Pages 100-111.
93. Juanzi Li, Jie Tang, Yi Li, and Qiong Luo. RiMOM: A Dynamic Multi-Strategy Ontology Alignment Framework. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2009, Volume 21, Issue 8, Pages 1218-1232. [PDF] [URL] (The 2nd most-cited paper among TKDE 2009-13's 500+ papers, More...)
94. Limin Yao, Jie Tang, and Juanzi Li. Entire Solution Path for Support Vector Machine in Positive and Unlabeled Classification. Journal of Tsinghua Science and Technology, 2009, Volume 14, Issue 2, Pages 242-251. [PDF]
95. Juanzi Li, Jie Tang, Jing Zhang, Qiong Luo, Yunhao Liu and Mingcai Hong. Arnetminer: Expertise Oriented Search Using Social Networks. Frontiers of Computer Science in China, 2008, Volume 2, Issue 1, Pages 94-105.
96. Jie Tang, Juanzi Li, Bangyong Liang, Xiaotong Huang, Yi Li, and Kehong Wang. Using Bayesian Decision for Ontology Mapping. Journal of Web Semantics, 2006, Volume 4, Issue 4, Pages 243-262. [URL] [PDF] (Top 8 cited papers in JWS's history, More...)
97. Jie Tang, Juanzi Li, Hong-Jun Lu, Bangyong Liang, and Kehong Wang. iASA: Learning to Annotate the Semantic Web. Journal on Data Semantics, IV, 2005, Volume 3730, Pages 110-145. [PDF]

Conference Publications

2024

1. Hanyu Lai, Xiao Liu, Iat Long Iong, Shuntian Yao, Yuxuan Chen, Pengbo Shen, Yu Hao, Hanchen Zhang, Xiaohan Zhang, Yuxiao Dong, and Jie Tang. AutoWebGLM: A Large Language Model-based Web Navigating Agent. In Proceedings of the Thirty ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'24).
2. Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, and Jie Tang. Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. In Proceedings of the Thirty ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'24).
3. Fanjin Zhang, Shi Shijie, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, XiaoYan Li, Yuxiao Dong, and Jie Tang. OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. In Proceedings of the Thirty ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'24).
4. Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, and Minlie Huang. Towards Efficient and Exact Optimization of Language Model Alignment. In Proceedings of the 41st International Conference on Machine Learning (ICML'24).
5. Yushi Bai, Xin Lv, Jiajie Zhang, Hongchang Lyu, Jiankai Tang, Zhidian Huang, Zhengxiao Du, Xiao Liu, Aohan Zeng, Lei Hou, Yuxiao Dong, Jie Tang, and Juanzi Li. LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding. In Proceedings of the 62th Annual Meeting of the Association of Computational Linguistics (ACL'24).
6. Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, and Minlie Huang. Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. In Proceedings of the 62th Annual Meeting of the Association of Computational Linguistics (ACL'24).
7. Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, and Minlie Huang. SafetyBench: Evaluating the Safety of Large Language Models. In Proceedings of the 62th Annual Meeting of the Association of Computational Linguistics (ACL'24).
8. Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Zhuoer Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, and Jie Tang. AlignBench: Benchmarking Chinese Alignment of Large Language Models. In Proceedings of the 62th Annual Meeting of the Association of Computational Linguistics (ACL'24).
9. Xiaokang Zhang, Zijun Yao, Jing Zhang, Kaifeng Yun, Jifan Yu, Juanzi Li, and Jie Tang. Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking. In Proceedings of the 62th Annual Meeting of the Association of Computational Linguistics (ACL'24).
10. Pei Ke, Bosi Wen, Andrew Zhuoer Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, and Minlie Huang. CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation. In Proceedings of the 62th Annual Meeting of the Association of Computational Linguistics (ACL'24).
11. Aohan Zeng, Mingdao Liu, Rui Lu, Bowen Wang, Xiao Liu, Yuxiao Dong, and Jie Tang. AgentTuning: Enabling Generalized Agent Abilities for LLMs. In Proceedings of the 62th Annual Meeting of the Association of Computational Linguistics (Findings of ACL'24).
12. Shudan Zhang, Hanlin Zhao, Xiao Liu, Qinkai Zheng, Zehan Qi, Xiaotao Gu, Yuxiao Dong, and Jie Tang. NaturalCodeBench: A Challenging Application-Driven Dataset for Code Synthesis Evaluation. In Proceedings of the 62th Annual Meeting of the Association of Computational Linguistics (Findings of ACL'24).
13. Kejuan Yang, Xiao Liu, Kaiwen Men, Aohan Zeng, Yuxiao Dong, and Jie Tang. Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration. In Proceedings of the 62th Annual Meeting of the Association of Computational Linguistics (Findings of ACL'24).
14. Wenyi Hong, Weihan Wang, Qingsong Lv, Jiazheng Xu, Wenmeng Yu, Junhui Ji, Yan Wang, Zihan Wang, Yuxiao Dong, Ming Ding, and Jie Tang. CogAgent: A Visual Language Model for GUI Agents. In Proceedings of the 2024 International Conference on Computer Vision and Pattern Recognition (CVPR'24).
15. Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, and Jie Tang. AgentBench: Evaluating LLMs as Agents. In Proceedings of the 12th International Conference on Learning Representations (ICLR'24). [PDF] [*Code&Model*] [*@ChatGLM*]
16. Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, and Jie Tang. Relay Diffusion: Unifying diffusion process across resolutions for image synthesis. In Proceedings of the 12th International Conference on Learning Representations (ICLR'24). [PDF] [*Code&Model*] [*@ChatGLM*]
17. Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu GONG, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Xu Bin, Jie Tang, and Juanzi Li. KoLA: Carefully Benchmarking World Knowledge of Large Language Models. In Proceedings of the 12th International Conference on Learning Representations (ICLR'24). [PDF]
18. Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang, Ying Shan, Yuxiao Dong, and Jie Tang. RecDCL: Dual Contrastive Learning for Recommendation. In Proceedings of the Web Conference 2024 (WWW'24). [PDF] [*Code&Data*]
19. Yuqing Cheng, Bo Chen, Fanjin Zhang, and Jie Tang. BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting. In Proceedings of the Web Conference 2024 (WWW'24). [PDF] [*Code&Data*]
20. Zhen Yang, Zhou Shao, Yuxiao Dong, and Jie Tang. TriSampler: A Better Negative Sampling Principle for Dense Retrieval. In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI'24). https://arxiv.org/pdf/2402.11855
21. Lilong Xue, Dan Zhang, Yuxiao Dong, and Jie Tang. AutoRE: Document-Level Relation Extraction with Large Language Models. In Proceedings of the 62th Annual Meeting of the Association of Computational Linguistics (ACL SDT'24).

2023

1. Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, and Jie Tang. Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'23). pages 207-224. [PDF] [*Demo*] (Best Student Paper)
2. Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, and Yuxiao Dong. ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation. In Proceedings of the Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS'23). [PDF] [*Code&Data&Model*]
3. Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Lei Shen, Zihan Wang, Andi Wang, Yang Li, Teng Su, Zhilin Yang, and Jie Tang. CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X. In Proceedings of the Twenty-Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'23). [PDF] [*Code&Data*]
4. Xiao Liu, Hanyu Lai, Yu Hao, Yifan Xu, Aohan Zeng, Zhengxiao Du, Peng Zhang, Yuxiao Dong, and Jie Tang. WebGLM: Towards An Efficient Web-enhanced Question Answering System with Human Preference. In Proceedings of the Twenty-Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'23). [PDF] [*Code&Data*]
5. Jing Zhang, Xiaokang Zhang, Daniel Zhang-Li, Jifan Yu, Zijun Yao, Zeyao Ma, Yiqi Xu, Haohua Wang, Xiaohan Zhang, Nianyi Lin, Sunrui Lu, Jie Tang, and Juanzi Li. GLM-Dialog: Noise-tolerant Pre-Training for Knowledge-grounded Dialogue Generation. In Proceedings of the Twenty-Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'23). [PDF] [*Code&Data*]
6. Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Zhitao Ying, Yukuo Cen, Yangliao Geng, and Jie Tang. BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. In Proceedings of the Twenty-Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'23). [PDF] [*Code&Data*]
7. Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, and Jie Tang. WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window. In Proceedings of the Twenty-Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'23). [PDF] [*Code&Data*]
8. Bo Chen, Jing Zhang, Fanjin Zhang, Tianyi Han, Yuqing Cheng, XiaoYan Li, Yuxiao Dong, and Jie Tang. Web-Scale Academic Name Disambiguation: the WhoIsWho Benchmark, Leaderboard, and Toolkit. In Proceedings of the Twenty-Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'23). [PDF] [*Code&Data*]
9. Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Zhiyuan Liu, Peng Zhang, Yuxiao Dong, and Jie Tang. GLM-130B: An Open Bilingual Pre-trained Model. In Proceedings of the 11th International Conference on Learning Representations (ICLR'23). [PDF] [*Code&Model*] [*Blog*] [*Demo*] [*ChatGLM*]
10. Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, and Jie Tang. CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers. In Proceedings of the 11th International Conference on Learning Representations (ICLR'23). [PDF] [Poster] [*Code&Model*] [*Demo*]
11. Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, and Jie Tang. CogDL: A Comprehensive Library for Graph Deep Learning. In Proceedings of the Web Conference 2023 (WWW'23). [PDF] [*Code&Data*]
12. Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, and Jie Tang. GraphMAE2: A Decoding-enhanced Masked Self-supervised Graph Learner. In Proceedings of the Web Conference 2023 (WWW'23) (accepted). [PDF] [*Code&Data*]
13. Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, and Jie Tang. ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. In Proceedings of the Web Conference 2023 (WWW'23) (accepted). [PDF]
14. Zhenyu Hou, Yukuo Cen, Ziding Liu, Dongxue Wu, Baoyan Wang, Xuanhe Li, Lei Hong, and Jie Tang. MTDiag: An Effective Multi-Task Framework for Automatic Diagnosis. In Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI'23). [PDF]
15. Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, and Jie Tang. GKD: An General Knowledge Distillation Framework for Large-scale Pre-trained Language Model. In Proceedings of the 61st Annual Meeting of the Association of Computational Linguistics (ACL'23).
16. Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-Ao Geng, and Jie Tang. Detecting Social Bot on the Fly using Contrastive Learning. In Proceedings of the Thirty-Two Conference on Information and Knowledge Management (CIKM'23).

2022

1. Ming Ding, Wendi Zheng, Wenyi Hong, and Jie Tang. CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers. In Proceedings of the Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS'22). [*Code&Data&Model*] [*Demo*]
2. Zhenyu Hou, Xiao Liu, Yukuo Cen, Yuxiao Dong, Hongxia Yang, Chunjie Wang, and Jie Tang. GraphMAE: Self-Supervised Masked Graph Autoencoders. In Proceedings of the Twenty-Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'22). [PDF] [*Code&Data*]
3. Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, and Jie Tang. Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. In Proceedings of the Twenty-Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'22). [PDF] [*Code&Data*]
4. Xiao Liu, Da Yin, Jingnan Zheng, Xingjian Zhang, Peng Zhang, Hongxia Yang, Yuxiao Dong, and Jie Tang. OAG-BERT: Towards a Unified Backbone Language Model for Academic Knowledge Services. In Proceedings of the Twenty-Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'22). [PDF] [*Code&Data*]
5. Jifan Yu, Xiaohan Zhang, Yifan Xu, Xuanyu Lei, Xinyu Guan, Jing Zhang, Lei Hou, Juanzi Li, and Jie Tang. XDAI: A Tuning-free Framework for Exploiting Pre-trained Language Models in Knowledge Grounded Dialogue Generation. In Proceedings of the Twenty-Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'22). [PDF] [*Demo*]
6. Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael Mahoney, and Alvin Cheung. GACT: Activation Compressed Training for Generic Network Architectures. In Proceedings of the 39st International Conference on Machine Learning (ICML'22). [PDF]
7. Ziang Li, Ming Ding, Weikai Li, Zihan Wang, Ziyu Zeng, Yukuo Cen, and Jie Tang. Rethinking the Setting of Semi-supervised Learning on Graphs. In Proceedings of the 31st International Joint Conference on Artificial Intelligence (IJCAI'22). [PDF] [*Code&Data*]
8. Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, and Jie Tang. GLM: General Language Model Pretraining with Autoregressive Blank Infilling. In Proceedings of the 60th Annual Meeting of the Association of Computational Linguistics (ACL'22). [PDF] [*Code&Data*]
9. Xiao Liu, Kaixuan Ji, Yicheng Fu, Weng Lam Tam, Zhengxiao Du, Zhilin Yang, and Jie Tang. P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks. In Proceedings of the 60th Annual Meeting of the Association of Computational Linguistics (ACL'22). [PDF] [*Code&Data*]
10. Yanan Zheng, Jing Zhou, Yujie Qian, Ming Ding, Chonghua Liao, Jian Li, Ruslan Salakhutdinov, Jie Tang, Sebastian Ruder, and Zhilin Yang. FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding. In Proceedings of the 60th Annual Meeting of the Association of Computational Linguistics (ACL'22). [PDF] [*Code&Data*] [LeaderBoard]
11. Jing Zhou, Yanan Zheng, Jie Tang, Jian Li, and Zhilin Yang. FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning. In Proceedings of the 60th Annual Meeting of the Association of Computational Linguistics (ACL'22). [PDF] [*Code&Data*]
12. Jing Zhang, Xiaokang Zhang, Jifan Yu, Jian Tang, Jie Tang, Cuiping Li, and Hong Chen. Subgraph Retrieval Enhanced Model for Multi-hop Knowledge Base Question Answering. In Proceedings of the 60th Annual Meeting of the Association of Computational Linguistics (ACL'22). [PDF] [*Code&Data*]
13. Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, and Dawn Song. DeepStruct: Pre-Training of Language Models for Structure Prediction. In Proceedings of the 60th Annual Meeting of the Association of Computational Linguistics (Findings of ACL'22).
14. Wenzheng Feng, Yuxiao Dong, Huang Tinglin, Ziqi Yin, Xu Cheng, Evgeny Kharlamov, and Jie Tang. GRAND+: Scalable Graph Random Neural Networks. In Proceedings of the Web Conference 2022 (WWW'22) (accepted). [PDF] [*Code&Data*]
15. Xiao Liu, Haoyun Hong, Xinghao Wang, Zeyi Chen, Evgeny Kharlamov, Yuxiao Dong, and Jie Tang. SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs. In Proceedings of the Web Conference 2022 (WWW'22) (accepted). [PDF] [*Code&Data*] (Best Paper Candidate)
16. Zhen Yang, Ming Ding, Bin Xu, Hongxia Yang, and Jie Tang. STAM: A Spatiotemporal Aggregation Method for Graph Neural Network-based Recommendation. In Proceedings of the Web Conference 2022 (WWW'22). [PDF] [*Code&Data*]
17. Zixuan Ma, Jiaao He, Jiezhong Qiu, Huanqi Cao, Yuanwei Wang, Zhenbo Sun, Liyan Zheng, Haojie Wang, Shizhi Tang, Tianyu Zheng, Junyang Lin, Guanyu Feng, Zeqiang Huang, Jie Gao, Aohan Zeng, JianWei Zhang, Runxin Zhong, Tianhui Shi, Sha Liu, Weimin Zheng, Jie Tang, Hongxia Yang, Xin Liu, Jidong Zhai, and Wenguang Chen. BAGUALU: Targeting Brain Scale Pretrained Models with over 37 Million Cores. In Proceedings of the 27th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP'22). [PDF]
18. Bo Chen, Jing Zhang, Xiaokang Zhang, Xiaobin Tang, Lingfan Cai, Hong Chen, Cuiping Li, Peng Zhang, and Jie Tang. CODE: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking. In Proceedings of the 36rd AAAI Conference on Artificial Intelligence (AAAI'22). [PDF] [*Code&Data*]
19. Zhuoyi Yang, Ming Ding, Yanhui Guo, Qingsong Lv, and Jie Tang. Parameter-Efficient Tuning Makes a Good Classification Head. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP'22).

2021

1. Ming Ding, Zhuoyi Yang, Wenyi Hong, Wendi Zheng, Chang Zhou, Da Yin, Junyang Lin, Xu Zou, Zhou Shao, Hongxia Yang, and Jie Tang. CogView: Mastering Text-to-Image Generation via Transformers. In Proceedings of the Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS'21). [PDF] [*Code&Data&Model*] [*Demo*]
2. Jialin Zhao, Yuxiao Dong, Ming Ding, Evgeny Kharlamov, and Jie Tang. Adaptive Diffusion in Graph Neural Networks. In Proceedings of the Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS'21). [PDF] [*Code&Data*]
3. Yi Ma, Xiaotian Hao, Jianye HAO, Jiawen Lu, Xing Liu, Xialiang Tong, Mingxuan Yuan, Zhigang Li, Zhaopeng Meng, and Jie Tang. A Reinforcement Learning Based Bi-level Optimization Framework for Large-scale Dynamic Pickup and Delivery Problems. In Proceedings of the Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS'21). [PDF]
4. Zhu Zhang, Jianxin Ma, Chang Zhou, Rui Men, Zhikang Li, Ming Ding, Jie Tang, Jingren Zhou, and Hongxia Yang. UFC-BERT: Unifying Multi-Modal Controls for Conditional Image Synthesis. In Proceedings of the Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS'21). [PDF]
5. Qinkai Zheng, Xu Zou, Yuxiao Dong, Yukuo Cen, Da Yin, Jiarong Xu, Yang Yang, and Jie Tang. Graph Robustness Benchmark: Benchmarking the Adversarial Robustness of Graph Machine Learning. In Proceedings of the Thirty-Fifth Annual Conference on Neural Information Processing Systems (NeurIPS'21). (NeurIPS 2021 Datasets and Benchmarks) [PDF] [*Code&Data*]
6. Xu Zou, Da Yin, Qingyang Zhong, Hongxia Yang, Zhilin Yang, and Jie Tang. Controllable Generation from Pre-trained Language Models via Inverse Prompting. In Proceedings of the Twenty-Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'21). [PDF] [*Code&Data&Model*] [*Demo*]
7. Xu Zou, Qinkai Zheng, Yuxiao Dong, Xinyu Guan, Evgeny Kharlamov, Jialiang Lu, and Jie Tang. TDGIA: Effective Injection Attacks on Graph Neural Networks. In Proceedings of the Twenty-Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'21). [PDF]
8. Qingsong Lv, Ming Ding, Qiang Liu, Yuxiang Chen, Wenzheng Feng, Siming He, Chang Zhou, Jian-guo Jiang, Yuxiao Dong, and Jie Tang. Are we really making much progress? Revisiting, benchmarking and refining the Heterogeneous Graph Neural Networks. In Proceedings of the Twenty-Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'21). [PDF] [Slides_pdf] [*Code&Data*] [Leaderboard]
9. Tinglin Huang, Yuxiao Dong, Ming Ding, Zhen Yang, Wenzheng Feng, Xinyu Wang, and Jie Tang. MixGCF: An Improved Training Method for Graph Neural Network-based Recommender Systems. In Proceedings of the Twenty-Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'21). [PDF] [*Code*]
10. Junyang Lin, Rui Men, An Yang, Chang Zhou, Yichang Zhang, Peng Wang, Jingren Zhou, Jie Tang, and Hongxia Yang. M6: Multi-Modality-to-Multi-Modality Multitask Mega-transformer for Unified Pretraining. In Proceedings of the Twenty-Seventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'21). [PDF]
11. Yuxuan Shi, Gong Cheng, Trung-Kien Tran, Jie Tang, and Evgeny Kharlamov. Keyword-Based Knowledge Graph Exploration Based on Quadratic Group Steiner Trees. In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI'21). [PDF] [*Code*]
12. Jiezhong Qiu, Laxman Dhulipala, Jie Tang, Richard Peng, and Chi Wang. LightNE: A Lightweight Graph Processing System for Network Embedding. In Proceedings of the 2021 ACM SIGMOD international conference on Management of data (SIGMOD'21), 2021. [PDF] [Slides_ppt] [Slides_pdf] [*Code*]
13. Jifan Yu, Yuquan Wang, Qingyang Zhong, Gan Luo, Yiming Mao, Kai Sun, Wenzheng Feng, Wei Xu, Shulin Cao, Kaisheng Zeng, Zijun Yao, Lei Hou, Yankai Lin, Peng Li, Jie Zhou, Bin Xu, Juanzi Li, Jie Tang, and Maosong Sun. MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs. In Proceedings of the Thirty Conference on Information and Knowledge Management (CIKM'21). [data & code]
14. Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, and Dawn Song. Zero-Shot Information Extractions as a Unified Text-to-Triple Translation. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP'21).
15. Yuquan Wang, Yanpeng Wang, Yiming Mao, Jifan Yu, Kaisheng Zeng, Lei Hou, Juanzi Li, and Jie Tang. Expertise-aware Crowdsourcing Taxonomy Enrichment. In Proceedings of the 22nd International Conference on Web Information System Engineering (WISE'21).

2020

1. Wenzheng Feng, Jie Zhang, Yuxiao Dong, Yu Han, Huanbo Luan, Qian Xu, Qiang Yang, Evgeny Kharlamov, and Jie Tang. Graph Random Neural Networks for Semi-Supervised Learning on Graphs. In Proceedings of the Thirty-Forth Annual Conference on Neural Information Processing Systems (NeurIPS'20). [PDF] [Appendix] [*Code*]
2. Ming Ding, Chang Zhou, Hongxia Yang, and Jie Tang. CogLTX: Applying BERT to Long Texts. In Proceedings of the Thirty-Forth Annual Conference on Neural Information Processing Systems (NeurIPS'20). [PDF] [*Code*] [*Data*]
3. Jiezhong Qiu, Chi Wang, Ben Liao, Richard Peng, and Jie Tang. A Matrix Chernoff Bound for Markov Chains and its Application to Co-occurrence Matrices. In Proceedings of the Thirty-Forth Annual Conference on Neural Information Processing Systems (NeurIPS'20). [PDF] [Slides_ppt] [Slides_pdf]
4. Jiezhong Qiu, Qibin Chen, Yuxiao Dong, Jing Zhang, Hongxia Yang, Ming Ding, Kuansan Wang, and Jie Tang. GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training. In Proceedings of the Twenty-Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'20). [PDF] [Slides_ppt] [Slides_PDF] [*data & code*]
5. Zhen Yang, Ming Ding, Chang Zhou, Hongxia Yang, Jingren Zhou, and Jie Tang. Understanding Negative Sampling in Graph Representation Learning. In Proceedings of the Twenty-Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'20). [PDF] [Slides_ppt] [Slides_PDF] [*data & code*]
6. Yukuo Cen, Jianwei Zhang, Xu Zou, Chang Zhou, Hongxia Yang, and Jie Tang. Controllable Multi-Interest Framework for Recommendation. In Proceedings of the Twenty-Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'20). [PDF] [*data & code*]
7. Jibing Gong, Shen Wang, Jinlong Wang, Hao Peng, Wenzheng Feng, Dan Wang, Yi Zhao, Huanhuan Li, Jie Tang, and Philip Yu. Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View. In Proceedings of the 43th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'20). [PDF]
8. Yuxiao Dong, Ziniu Hu, Kuansan Wang, Yizhou Sun and Jie Tang. Heterogeneous Network Representation Learning. In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI'20). [PDF] [Slides_PPT] [Slides_PDF] [Poster]
9. Jifan Yu, Gan Luo, Tong Xiao, Qingyang Zhong, Yuquan Wang, Wenzheng Feng, Junyi Luo, Chenyu Wang, Lei Hou, Juanzi Li, Zhiyuan Liu, and Jie Tang. MOOCCube: A Large-scale Data Repository for NLP Applications in MOOCs. In Proceedings of the 58th Annual Meeting of the Association of Computational Linguistics (ACL'20). [PDF] [*data & code*]

2019

1. Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, and Jie Tang. Cognitive Graph for Multi-Hop Reading Comprehension at Scale. In Proceedings of the 57th Annual Meeting of the Association of Computational Linguistics (ACL'19). [PDF] [*data & code*]
2. Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Jie Tang, and Zhiyuan Liu. Course Concept Expansion in MOOCs with External Knowledge and Interactive Game. In Proceedings of the 57th Annual Meeting of the Association of Computational Linguistics (ACL'19). [PDF] [data & code]
3. Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Bin Shao, Rui Li, and Kuansan Wang. OAG: Toward Linking Large-scale Heterogeneous Entity Graphs. In Proceedings of the Twenty-Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'19). [PDF] [data] [code] [code]
4. Xichen Ding, Jie Tang, Tracy Liu, Cheng Xu, Yaping Zhang, Feng Shi, Qixia Jiang and Dan Shen. Infer Implicit Contexts in Real-time Online-to-Offline Recommendation. In Proceedings of the Twenty-Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'19). [PDF]
5. Yukuo Cen, Xu Zou, Jianwei Zhang, Hongxia Yang, Jingren Zhou and Jie Tang. Representation Learning for Attributed Multiplex Heterogeneous Network. In Proceedings of the Twenty-Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'19). [PDF] [data & code]
6. Qibin Chen, Junyang Lin, Yichang Zhang, Hongxia Yang, Jingren Zhou and Jie Tang. Towards Knowledge-Based Personalized Product Description Generation in E-commerce. In Proceedings of the Twenty-Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'19). [PDF] [data & code]
7. Zhengxiao Du, Xiaowei Wang, Hongxia Yang, Jingren Zhou and Jie Tang. Sequential Scenario-Specific Meta Learner for Online Recommendation. In Proceedings of the Twenty-Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'19). [PDF]
8. Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Chi Wang, Kuansan Wang, and Jie Tang. NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization. In Proceedings of the Web Conference 2019 (WWW'19) (accepted). [PDF] [*data & code*] (Best Paper Candidate)
9. Yu Han, Jie Tang, and Qian Chen. Network Embedding under Partial Monitoring for Evolving Networks. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19). [PDF] [Slides_PPT] [Slides_PDF]
10. Jie Zhang, Yuxiao Dong, Yan Wang, Jie Tang, and Ming Ding. ProNE: Fast and Scalable Network Representation Learning. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19). [PDF] [*data & code*]
11. Yifeng Zhao, Xiangwei Wang, Hongxia Yang, Le Song, and Jie Tang. Large Scale Evolving Graphs with Burst Detection. In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI'19). [PDF]
12. Wenzheng Feng, Jie Tang, Tracy Xiao Liu, Shuhuai Zhang, and Jian Guan. Understanding Dropouts in MOOCs. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI'19). [PDF] [data & code]
13. Qibin Chen, Junyang Lin, Yichang Zhang, Ming Ding, Yukuo Cen, Hongxia Yang, and Jie Tang. Towards Knowledge-Based Recommender Dialog System. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing (EMNLP'19). [PDF]
14. Tianqi Wang, Qi Li, Jing Gao, Xia Jing and Jie Tang. Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades. In Proceedings of the 19th International Conference on Educational Data Mining (EDM'19).
15. Yan Wang and Jie Tang. Event2Vec: Learning Event Representations Using Spatial-Temporal Information for Recommendation. In Proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'19). [PDF]
16. Yifeng Zhao, Jie Tang, and Zhengxiao Du. EFCNN:A Restricted Convolutional Neural Network for Expert Finding. In Proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'19). [PDF]

2018

1. Yi Qi, Qingyun Wu, Hongning Wang, Jie Tang, and Maosong Sun. Bandit Learning with Implicit Feedback. In Proceedings of the Thirty-Second Annual Conference on Neural Information Processing Systems (NeurIPS'18). [PDF]
2. Yutao Zhang, Fanjin Zhang, Peiran Yao, and Jie Tang. Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop. In Proceedings of the Twenty-Forth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18). [PDF] [slides] [poster] [data & code] [video]
3. Jiezhong Qiu, Jian Tang, Hao Ma, Yuxiao Dong, Kuansan Wang, and Jie Tang. DeepInf: Social Influence Prediction with Deep Learning. In Proceedings of the Twenty-Forth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'18). [PDF] [poster] [data & code] [video]
4. Yujie Qian, Jie Tang, and Kan Wu. Weakly Learning to Match Experts in Online Community. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18). [PDF] [slides]
5. Kan Wu, Jie Tang, and Chenhui Zhang. Where have you been? Inferring career trajectory from academic social network. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18). [PDF] [slides]
6. Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Tatseng Chua, Thanassis Tiropanis, and Wendy Hall. Cross-Domain Depression Detection via Harvesting Social Media. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18). [PDF]
7. Ming Ding, Jie Tang, and Jie Zhang. Semi-supervised Learning on Graphs with Generative Adversarial Nets. In Proceedings of the Twenty-Seventh Conference on Information and Knowledge Management (CIKM'18). [PDF] [data & code]
8. Zhengxiao Du, Jie Tang, and Yuhui Ding. POLAR: Attention-based CNN for One-shot Personalized Article Recommendation. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'18). [PDF] [Slides]
9. Golnoosh Farnadi, Jie Tang, Martine De Cock, and Marie-Francine Moens. User Profiling through Deep Multimodal Fusion. In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining (WSDM'18). [PDF] [Poster] [Slides]
10. Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, and Jie Tang. Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. In Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining (WSDM'18). [PDF] [Slides] [code]
11. Xu Feng, Yuyang Xie, Mingye Song, Wenjian Yu, and Jie Tang. Fast Randomized PCA for Sparse Data. In Proceedings of The 10th Asian Conference on Machine Learning (ACML'18). [PDF]

2017

1. Yutao Zhang, Robert Chen, Jie Tang, Jimeng Sun, and Walter Stewart. LEAP: Learning to Prescribe Effective and Safe Treatment Combinations for Multimorbidity. In Proceedings of the Twenty-Third ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'17), pages 1315-1324. [PDF]
2. Yu Han, Jie Tang, Hao Ye, and Bo Chen. Who to Invite Next? Predicting Invitees of Social Groups. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI'17), pages 921-925. [PDF]
3. Liangming Pan, Chengjiang Li, Juanzi Li, and Jie Tang. Prerequisite Relation Learning for Concepts in MOOCs. In Proceedings of the 55th Annual Meeting of the Association of Computational Linguistics (ACL'17), pages 1447-1456. [PDF] [Data&Code]
4. Jie Tang and Wendy Hall. Cross-domain Ranking via Latent Space Learning. In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), pages 2618-2624. [PDF] [Slides_PPT] [Poster]
5. Jing Zhang, Jie Tang, Yuanyi Zhong, Yuchen Mo, Juanzi Li, Guojie Song, Wendy Hall, and Jimeng Sun. StructInf: Mining Structural Influence from Social Streams. In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), pages 73-79. [PDF] [Slides_PPT] [Poster]
6. Yikang Shen, Wenge Rong, Nan Jiang, Baolin Peng, Jie Tang, Zhang Xiong. Word Embedding Based Correlation Model for Question/Answer Matching. In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17), pages 3511-3517. [PDF]
7. Jie Tang. Computational Models for Social Network Analysis: A Brief Survey. In Proceedings of the Twenty-Sixth World Wide Web Conference (WWW'17), pages 921-925. [PDF] [Slides_PPT]
8. Han Zhang, Maosong Sun, Xiaochen Wang, Zhengyang Song, Jie Tang, and Jimeng Sun. Smart Jump: Automated Navigation Suggestion for Videos in MOOCs. In Proceedings of the Twenty-Sixth World Wide Web Conference (WWW'17), pages 331-339. [PDF] [Slides_PPT] [Slides_PDF]
9. Daizong Ding, Mi Zhang, Shao-Yuan Li, Jie Tang, Xiaotie Chen, and Zhi-Hua Zhou. BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network. In Proceedings of the Twenty-Sixth Conference on Information and Knowledge Management (CIKM'17). [PDF]
10. Si Zhang, Hanghang Tong, Jie Tang, Jiejun Xu, and Wei Fan. iNEAT: Incomplete Network Alignment. In Proceedings of 2017 IEEE International Conference on Data Mining (ICDM'17).
11. Xia Jing and Jie Tang. Guess You Like: Course Recommendation in MOOCs In Proceedings of 2017 IEEE/WIC/ACM International Conferences on Web Intelligence (WI'17), pages 783-789. [PDF]
12. Liangming Pan, Xiaochen Wang, Juanzi Li, and Jie Tang. Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation. In Proceedings of the 8th International Joint Conference on Natural Language Processing (IJCNLP'17). [PDF] [Data]

2016

1. Liangyue Li, Yuan Yao, Jie Tang, Wei Fan, and Hanghang Tong. QUINT: On Query-Specific Optimal Networks. In Proceedings of the Twenty-Second ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'16), pages 985-994. [PDF] [Slides_PDF] [Data&Code]
2. Zhilin Yang, Jie Tang, and William W. Cohen. Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs. In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI'16), pages 2287-2293. [PDF] [Slides_PPT] [Slides_PDF] [Thesis (in Chinese)]
3. Jiezhong Qiu, Yixuan Li, Jie Tang, Zheng Lu, Hao Ye, Bo Chen, Qiang Yang, and John Hopcroft. The Lifecycle and Cascade of WeChat Social Messaging Groups. In Proceedings of the Twenty-Fifth World Wide Web Conference (WWW'16), pages 311-320. [PDF] [Slides_PPT] [Slides_PDF]
4. Yang Yang, Jia Jia, Boya Wu, and Jie Tang. Social Role-Aware Emotion Contagion in Image Social Networks. In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI'16), pages 65-71. [PDF] [Supplementary materials] [Slides_PPT] [Slides_PDF]
5. Yun Zhou, Zhiyuan Wang, Jie Tang, and Jar-Der Luo. The Prediction of Venture Capital Co-Investment Based on Structural Balance Theory. In Proceedings of the 32th International Conference on Data Engineering (ICDE'16), pages 1568-1569. [PDF]
6. Venkata Krishna Pillutla, Zhanpeng Fang, Pravallika Devineni, Danai Koutra, Christos Faloutsos, and Jie Tang. On Skewed Multi-dimensional Distributions: the FusionRP Model, Algorithms, and Discoveries. In Proceedings of 2016 SIAM International Conference on Data Mining (SDM'16), pages 136-144. [PDF] [Appendix]
7. Liangyue Li, Hanghang Tong, Jie Tang, and Wei Fan. iPath: Forecasting the Pathway to Impact. In Proceedings of 2016 SIAM International Conference on Data Mining (SDM'16), pages 136-144. [DRAFT]
8. Jie Tang. AMiner: Toward Understanding Big Scholar Data. In Proceedings of the Ninth ACM International Conference on Web Search and Data Mining (WSDM'16), pages 467-467. (Invited Talk) [PDF]
9. Jiezhong Qiu, Jie Tang, Tracy Xiao Liu, Jie Gong, Chenhui Zhang, Qian Zhang, and Yufei Xue. Modeling and Predicting Learning Behavior in MOOCs. In Proceedings of the Ninth ACM International Conference on Web Search and Data Mining (WSDM'16), pages 93-102. [PDF] [Code] [Data] [Related challenge--KDD CUP]
10. Yuan Yuan, Sihong Xie, Chun-Ta Lu, Philip S. Yu, and Jie Tang. Interpretable and Effective Opinion Spam Detection via Temporal Patterns Mining across Websites. In Proceedings of the 2016 IEEE International Conference on Big Data (BigData'16).
11. Xiaotao Gu, Hong Yang, Jie Tang, and Jing Zhang. Web User Profiling using Data Redundancy. In Proceedings of the 2016 International Conference on Social Networks Analysis and Mining (ASONAM'16). [PDF] [Data&Code] [Slides_PPT] [Slides_PDF] (Best Student Paper Runner-up)
12. Jie Zhang, Jiaqi Ma, and Jie Tang. Learning Cascaded Influence under Partial Monitoring. In Proceedings of the 2016 International Conference on Social Networks Analysis and Mining (ASONAM'16). [PDF] [Slides_PDF]
13. Chenhui Zhang, Sida Gao, Jie Tang, Tracy Xiao Liu, Zhanpeng Fang, and Xu Cheng. Learning Triadic Influence in Large Social Networks. In Proceedings of the 2016 International Conference on Social Networks Analysis and Mining (ASONAM'16). [PDF] [Slides_PDF] [Slides_PPT] [Poster]

2015

1. Jing Zhang, Jie Tang, Cong Ma, Hanghang Tong, Yu Jing, and Juanzi Li. Panther: Fast Top-k Similarity Search on Large Networks. In Proceedings of the Twenty-First ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'15), pages 1445-1454. [PDF] [Slides_PPT] [Slides_PDF] [Poster] [Code&Data]
2. Yutao Zhang, Jie Tang, Zhilin Yang, Jian Pei, and Philip Yu. COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency. In Proceedings of the Twenty-First ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'15), pages 1485-1494. [PDF] [Slides_PPT] [Slides_PDF] [Poster] [Code&Data]
3. Yu Han and Jie Tang. Probabilistic Community and Role Model for Social Networks. In Proceedings of the Twenty-First ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'15), pages 407-416. [PDF] [Slides_PPT] [Slides_PDF] [Poster]
4. Yuxiao Dong, Jing Zhang, Jie Tang, Nitesh V. Chawla, and Bai Wang. CoupledLP: Link Prediction in Coupled Networks. In Proceedings of the Twenty-First ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'15), pages 199-208. [PDF] [Slides_PPT] [Slides_PDF] [Poster] [Code&Data]
5. Yang Yang, Yizhou Sun, Jie Tang, Bo Ma, and Juanzi Li. Entity Matching across Heterogeneous Sources. In Proceedings of the Twenty-First ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'15), pages 1395-1404. [PDF] [Slides_PPT] [Slides_PDF] [Poster] [Code&Data]
6. Zhanpeng Fang and Jie Tang. Uncovering the Formation of Triadic Closure in Social Networks. In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI'15), pages 2062-2068. [PDF] [Slides_PPT] [Slides_PDF] [Poster]
7. Jie Tang, Zhanpeng Fang, and Jimeng Sun. Incorporating Social Context and Domain Knowledge for Entity Recognition. In Proceedings of the Twenty-Fourth World Wide Web Conference (WWW'15), pages 517-526. [PDF] [Slides_PPT] [Slides_PDF] [Code&Data]
8. Jie Tang, Chenhui Zhang, Keke Cai, Li Zhang, and Zhong Su. Sampling Representative Users from Large Social Networks. In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI'15), pages 304-310. [PDF] [Slides_PPT] [Slides_PDF] [Data&Code]
9. Yang Yang, Jie Tang, Cane Wing-Ki Leung, Yizhou Sun, Qicong Chen, Juanzi Li, and Qiang Yang. RAIN: Social Role-Aware Information Diffusion. In Proceedings of the 29th AAAI Conference on Artificial Intelligence (AAAI'15), pages 367-373. [PDF] [Slides_PPT] [Slides_PDF] [Data&Code]
10. Linmei Hu, Xuzhong Wang, Mengdi Zhang, Juanzi Li, Xiaoli Li, Chao Shao, Jie Tang, and Yongbin Liu. Learning Topic Hierarchies for Wikipedia Categories. In Proceedings of the 51th Annual Meeting of the Association of Computational Linguistics (ACL'15), pages 346-351. [PDF]
11. Yang Yang and Jie Tang. Beyond Query: Interactive User Intention Understanding. In Proceedings of 2015 IEEE International Conference on Data Mining (ICDM'15), pages 519 - 528. (8%) [PDF] [Slides_PPT] [Slides_PPT]
12. Yixin Cao, Juanzi Li, Xiaofei Guo, Shuanhu Bai, Heng Ji, and Jie Tang. Name List Only? Target Entity Disambiguation in Short Texts. In Proceedings of Conference on Empirical Methods in Natural Language Processing (EMPNLP'15), pages 654-664.
13. Qingsong Liu, Yifan Hu, Lei Shi, Xinzhu Mu, Yutao Zhang, and Jie Tang. EgoNetCloud: Event-based Dynamic Egocentric Network Visualization. In Proceedings of 2015 IEEE Conference on Visual Analytics Science and Technology (VAST'15), pages 65-72. [PDF] [Video]
14. Boya Wu, Jia Jia, Yang Yang, Peijun Zhao, and Jie Tang. Understanding the Emotions Behind Social Images: Inferring with User Demographics. In Proceedings of 2015 IEEE International Conference on Multimedia and Expo (ICME'15), pages 1-6.
15. Yihan Sun, Joseph Crawford, Jie Tang, and Tijana Milenkovic. Simultaneous Optimization of Both Node and Edge Conservation in Network Alignment via WAVE. Workshop on Algorithms in Bioinformatics (WABI'15), pages 16-37. [PDF]

2014

1. Yuxiao Dong, Yang Yang, Jie Tang, Yang Yang, and Nitesh V. Chawla. Inferring User Demographics and Social Strategies in Mobile Social Networks. In Proceedings of the Twentyth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'14), pages 15-24. [PDF] [Madness] [Slides_PPT] [Slides_PDF] [Poster] [Data&Code] [Code Download] (Report by United Nations)
2. Mi Zhang, Jie Tang, Xuchen Zhang, Xiangyang Xue. Addressing Cold Start in Recommender Systems: A Semi-supervised Co-training Algorithm. In Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'14), pages 73-82. [PDF]
3. Jing Zhang, Jie Tang, Honglei Zhuang, Cane Wing-Ki Leung, and Juanzi Li. Role-aware Conformity Influence Modeling and Analysis in Social Networks. In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI'14), pages 958-965. [PDF] [Poster] [Data&Code]
4. Yang Yang, Jia Jia, Shumei Zhang, Boya Wu, Qicong Chen, Juanzi Li, Chunxiao Xing, and Jie Tang. How Do Your Friends on Social Media Disclose Your Emotions? In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI'14), pages 306-312. [PDF] [Slides_PPT] [Slides_PDF] [Poster] [Data&Code]
5. Yang Yang, Walter Luyten, Lu Liu, Marie-Francine Moens, Jie Tang, and Juanzi Li. Forecasting Potential Diabetes Complications. In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI'14), pages 313-319. [PDF] [Slides_PPT] [Slides_PDF] [Poster] [Data&Code]
6. Zhigang Wang, Juanzi Li, Shuangjie Li, Mingyang Li, Jie Tang, Kuo Zhang, and Kun Zhang. Cross-lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis. In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI'14), pages 180-186. [PDF] [Poster] [Data]
7. Zhixin Li, Siqiang Wen, Juanzi Li, Peng Zhang, and Jie Tang. On Modelling Non-linear Topical Dependencies. In Proceedings of the 31st International Conference on Machine Learning (ICML'14), pages 458-466. [PDF]
8. Hong Huang, Jie Tang, Sen Wu, Lu Liu, and Xiaoming Fu. Mining Triadic Closure Patterns in Social Networks. In Proceedings of the Twenty-Third World Wide Web Conference (WWW'14), pages 499-504. [PDF] [Slides_PPT] [Slides_PDF]
9. Honglei Zhuang, Jing Zhang, George Brova, Jie Tang, Hasan Cam, Xifeng Yan, and Jiawei Han. Mining Query-Based Subnetwork Outliers in Heterogeneous Information Networks. In Proceedings of 2014 IEEE International Conference on Data Mining (ICDM'14), pages 1127-1132. [PDF] [Slides_PPT] [Slides_PDF]
10. Lei Shi, Hanghang Tong, and Jie Tang. Flow-based Influence Graph Visual Summarization. In Proceedings of 2014 IEEE International Conference on Data Mining (ICDM'14), pages 983-988. [PDF]
11. Zhilin Yang, Jie Tang, and Yutao Zhang. Active Learning for Streaming Networked Data. In Proceedings of the Twenty-Third Conference on Information and Knowledge Management (CIKM'14), pages 1129-1138. [PDF] [Slides_PDF] [Slides_PPT] [Data&Code]
12. Zhanpeng Fang, Xinyu Zhou, Jie Tang, Wei Shao, A.C.M. Fong, Longjun Sun, Ying Ding, Ling Zhou, and Jarder Luo. Modeling Paying Behavior in Game Social Networks. In Proceedings of the Twenty-Third Conference on Information and Knowledge Management (CIKM'14), pages 411-420. [PDF] [Slides_PDF] [Slides_PPT]
13. Zhanpeng Fang and Jie Tang. CIKM 2014 Competition. In Proceedings of the Twenty-Third Conference on Information and Knowledge Management (CIKM'14). [PDF] [Slides] [Poster] (Second Place Award)
14. Jingyuan Liu, Debing Liu, Xingyu Yan, Li Dong, Yutao Zhang, and Jie Tang. AMiner-mini: A People Search Engine for University. (Demo) In Proceedings of the Twenty-Third Conference on Information and Knowledge Management (CIKM'14), pages 2069-2071. [PDF] [Slides]
15. Jar-Der Luo, Ling Zhou, Yun Zhou, and Jie Tang. Why Do Chinese Venture Capitals Invest Jointly? An Analysis of Complex Investment Network. In Proceedings of the 74th Annual Meeting of the Academy of Management (AOM'14), pages 13807. [PDF]
16. Juhua Hu, Jian Pei, and Jie Tang. How Can I Index My Thousands of Photos Effectively and Automatically? An Unsupervised Feature Selection Approach. In Proceedings of 2014 SIAM International Conference on Data Mining (SDM'14), pages 136-144. [PDF]
17. Zhilin Yang, Jie Tang, Bin Xu, and Chunxiao Xing. Active Learning for Networked Data Based on Non-progressive Diffusion Model. In Proceedings of the Seventh ACM International Conference on Web Search and Data Mining (WSDM'14), pages 363-372. [PDF] [Data&Code]
18. Zhu Ren, Jia Jia, Lianhong Cai, Kuo Zhang, and Jie Tang. Learning to Infer Public Emotions from Large-scale Networked Voice Data. In Proceedings of the 20th Anniversary International Conference on MultiMedia Modeling (MMM'14), pages 327-339. [PDF]

2013

1. Jie Tang, Sen Wu, and Jimeng Sun. Confluence: Conformity Influence in Large Social Networks. In Proceedings of the Ninteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'13), pages 347-355. [PDF] [Slides_PPT] [Slides_PDF] [Poster] [Data&Code] (Oral Presentation)
2. Yang Yang, Jianfei Wang, Yutao Zhang, Wei Chen, Jing Zhang, Honglei Zhuang, Zhilin Yang, Bo Ma, Zhanpeng Fang, Sen Wu, Xiaoxiao Li, Debing Liu, and Jie Tang. SAE: Social Analytic Engine for Large Networks. In Proceedings of the Ninteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'13), pages 1502-1505. [PDF] [Poster]
3. Jing Zhang, Biao Liu, Jie Tang, Ting Chen, and Juanzi Li. Social Influence Locality for Modeling Retweeting Behaviors. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI'13), pages 2761-2767. [PDF] [Data&Code] [Poster]
4. Lei Hou, Juanzi Li, Xiaoli Li, Jiangfeng Qu, Xiaofei Guo, Ou Hui, and Jie Tang. What Users Care about: a Framework for Social Content Alignment. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI'13), pages 1401-1407. [PDF] [Data & Readme] [Slides_PDF] [Poster]
5. Zhichun Wang, Juanzi Li, and Jie Tang. Boosting Cross-lingual Knowledge Linking via Concept Annotation. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI'13), pages 2733-2739. [PDF] [Poster]
6. Zhigang Wang, Zhixing Li, Juanzi Li, Jie Tang, and Jeff Z. Pan. Transfer Learning Based Cross-lingual Knowledge Extraction for Wikipedia. In Proceedings of the 51th Annual Meeting of the Association of Computational Linguistics (ACL'13), pages 641-650. [PDF] [Data & Readme]
7. Tiancheng Lou and Jie Tang. Mining Structural Hole Spanners Through Information Diffusion in Social Networks. In Proceedings of the Twenty-Second World Wide Web Conference (WWW'13), pages 837-848. [PDF] [Slides_PPT] [Slides_PDF] [Data&Code]
8. Honglei Zhuang, Yihan Sun, Jie Tang, Jialin Zhang, and Xiaoming Sun. Influence Maximization in Dynamic Social Networks. In Proceedings of 2013 IEEE International Conference on Data Mining (ICDM'13), pages 1313-1318. [PDF] [Slides_PPT] [Slides_PDF]
9. Lu Liu, Jie Tang, Yu Cheng, Ankit Agrawal, Wei-keng Liao, and Alok Choudhary. Mining Diabetes Complication and Treatment Patterns for Clinical Decision Support. In Proceedings of the Twenty-Second Conference on Information and Knowledge Management (CIKM'13), pages 279-288. [PDF]
10. Yuxiao Dong, Jie Tang, Tiancheng Lou, Bin Wu, and Nitesh V. Chawla. How long will she call me? Distribution, Social Theory and Duration Prediction. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'13), pages 16-31. [PDF] [Data&Code]
11. Jimeng Sun and Jie Tang. Models and Algorithms for Social Influence Analysis. In Proceedings of the Sixth ACM International Conference on Web Search and Data Mining (WSDM'13), pages 775-776. (Tutorial) [PDF]
12. Sen Wu, Jimeng Sun, and Jie Tang. Patent Partner Recommendation in Enterprise Social Networks. In Proceedings of the Sixth ACM International Conference on Web Search and Data Mining (WSDM'13), pages 43-52. [PDF] (Plenary presentation)
13. Mian Lu, Ge Bai, Qiong Luo, Jie Tang, and Jiuxin Zhao. Accelerating Topic Model Training on a Single Machine. In Proceedings of the Fifteenth International Asia-Pacific Web Conference (APWeb'13), pages 184-195. [PDF]

2012

1. Jie Tang, Sen Wu, Jimeng Sun, and Hang Su. Cross-domain Collaboration Recommendation. In Proceedings of the Eighteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'12), pages 1285-1293. [PDF] [Slides_PDF   Slides_PPT ] [Poster] [Data&Code] [System] [Video] (Full Presentation & Best Poster Award)
2. Jie Tang, Bo Wang, Yang Yang, Po Hu, Yanting Zhao, Xinyu Yan, Bo Gao, Minlie Huang, Peng Xu, Weichang Li, and Adam K. Usadi. PatentMiner: Topic-driven Patent Analysis and Mining. In Proceedings of the Eighteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'12), pages 1366-1374. [PDF] [Slides] [Poster] [System] [Video]
3. Jie Tang, Tiancheng Lou, and Jon Kleinberg. Inferring Social Ties across Heterogeneous Networks. In Proceedings of the Fifth ACM International Conference on Web Search and Data Mining (WSDM'12), pages 743-752. (Plenary presentation) [PDF] [Slides] [Poster] [Data&Code]
4. Ivan Vuli´c, Wim De Smet, Jie Tang, and Marie-Francine Moens. Probabilistic Topic Modeling in Multilingual Settings: A Short Overview of Its Methodology and Applications. In Proceedings of xLiTe: Cross-Lingual Technologies - NIPS 2012 workshop (xLiTe'12). [PDF]
5. Jia Jia, Sen Wu, Xiaohui Wang, Peiyun Hu, Lianhong Cai, and Jie Tang. Can We Understand van Gogh's Mood? Learning to Infer Affects from Images in Social Networks. In Proceedings of the Twentieth Conference on ACM Multimedia (ACM Multimedia'12), pages 857-860. [PDF]
6. Xiaohui Wang, Jia Jia, Peiyun Hu, Sen Wu, Lianhong Cai, and Jie Tang. Understanding the Emotional Impact of Images. (Grand Challenge) In Proceedings of the Twentieth Conference on ACM Multimedia (ACM Multimedia'12), pages 1369-1370. [PDF] [Video] [Slides] (Grand Challenge 2nd Prize Award)
7. Yuxiao Dong, Jie Tang, Sen Wu, Jilei Tian, Nitesh Chawla, Jinghai Rao, and Huanhuan Cao. Link Prediction and Recommendation across Heterogeneous Social Networks. In Proceedings of 2012 IEEE International Conference on Data Mining (ICDM'12), pages 181-190. [PDF] [Code]
8. Sen Wu, Zhanpeng Fang, and Jie Tang. Accurate Product Name Recognition from User Generated Content. (ICDM Contest) In Proceedings of ICDM 2012 Contest, pages 874-877. [PDF] (First Place Award)
9. Yang Yang, Jie Tang, Jacklyne Keomany, Yanting Zhao, Ying Ding, Juanzi Li, and Liangwei Wang. Mining Competitive Relationships by Learning across Heterogeneous Networks. In Proceedings of the Twenty-First Conference on Information and Knowledge Management (CIKM'12), pages 1432-1441. [PDF]
10. Daifeng Li, Xin Shuai, Guozheng Sun, Jie Tang, Ying Ding, and Zhipeng Luo. Mining Topic-Level Opinion Influence in Microblog. In Proceedings of the Twenty-First Conference on Information and Knowledge Management (CIKM'12), pages 1562-1566. [PDF]
11. Honglei Zhuang, Alvin Chin, Sen Wu, Wei Wang, Xia Wang, and Jie Tang. Inferring Geographic Coincidence in Ephemeral Social Networks. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'12), pages 613-628. [PDF]
12. Rui Yan, Congrui Huang, Jie Tang, Yan Zhang, and Xiaoming Li. To Better Stand on the Shoulder of Giants. In Proceedings of the 2012 ACM/IEEE Joint Conference on Digital Libraries (JCDL'12), pages 51-60. [PDF] (Nominated as Best Student Paper)
13. Zhichun Wang, Juanzi Li, Zhigang Wang, and Jie Tang. Cross-lingual Knowledge Linking Across Wiki Knowledge Bases. In Proceedings of the Twenty-First World Wide Web Conference (WWW'12), pages 459-468. [PDF]
14. Hang Su, Jie Tang, and Wanlin Hong. Learning to Diversify Expert Finding with Subtopics. In Proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'12), pages 330-341. [PDF]
15. Sen Wu, Jie Tang, and Bo Gao. Instant Social Graph Search. In Proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'12), pages 256-267. [PDF]
16. Huan Xia, Juanzi Li, Jie Tang, Marie-Francine Moens. Plink-LDA: Using Link as Prior Information in Topic Modeling. In Proceedings of the 17th International Conference on Database Systems for Advanced Applications (DASFAA'12), pages 213-227. [PDF]

2011

1. Chenhao Tan, Lillian Lee, Jie Tang, Long Jiang, Ming Zhou, and Ping Li. User-level sentiment analysis incorporating social networks. In Proceedings of the Seventeenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'11), pages 1397-1405. [PDF] [Poster]
2. Jie Tang, Sen Wu, and Bo Gao. Topic-level Social Network Search. (Demo Paper) In Proceedings of the Seventeenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'11), pages 769-772. [PDF] [Poster] [System]
3. Zi Yang, Keke Cai, Jie Tang, Li Zhang, Zhong Su, and Juanzi Li. Social Context Summarization. In Proceedings of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'11), pages 255-264. [PDF]
4. Wenbin Tang, Honglei Zhuang, and Jie Tang. Learning to Infer Social Ties in Large Networks. In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD'11), pages 381-397. [PDF] [Slides] [Data&Code] (Best Student Paper Runner-up)
5. Xuezhi Wang, Jie Tang, Hong Cheng, and Philip S. Yu. ADANA: Active Name Disambiguation. In Proceedings of 2011 IEEE International Conference on Data Mining (ICDM'11), pages 794-803. [PDF] [Slides] [Code&Data&System]
6. Liaoruo Wang, Tiancheng Lou, Jie Tang, and John E. Hopcroft. Detecting Community Kernels in Large Social Networks. In Proceedings of 2011 IEEE International Conference on Data Mining (ICDM'11), pages 784-793. [PDF] [Slides] [Code&Data]
7. John E. Hopcroft, Tiancheng Lou, and Jie Tang. Who Will Follow You Back? Reciprocal Relationship Prediction. In Proceedings of the Twenty Conference on Information and Knowledge Management (CIKM'11), pages 1137-1146. (alphabet author order) [PDF] [Slides] [Code&Data] [Code Download] [System]
8. Rui Yan, Jie Tang, Xiaobing Liu, and Xiaoming Li. Citation Count Prediction: Learning to Estimate Future Citations for Literature. In Proceedings of the Twenty Conference on Information and Knowledge Management (CIKM'11), pages 1247-1252. [PDF]
9. Chi Wang, Jie Tang, Jimeng Sun, and Jiawei Han. Dynamic Social Influence Analysis through Time-dependent Factor Graphs. In Proceedings of the 2011 International Conference on Social Networks Analysis and Mining (ASONAM'11), pages 239-246. [PDF]
10. Keke Cai, Shenghua Bao, Zi Yang, Jie Tang, Rui Ma, Li Zhang, and Zhong Su. OOLAM: An Opinion Oriented Link Analysis Model for Influence Persona Discovery. In Proceedings of the Fourth ACM International Conference on Web Search and Data Mining (WSDM'11), pages 645-654. [PDF]
11. Wim De Smet, Jie Tang, and Marie-Francine Moens. Knowledge Transfer across Multilingual Corpora via Latent Topics. In Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'11), pages 549-560. [PDF]
12. Bo Wang, Zhaonan Li, Jie Tang, Kuo Zhang, Songcan Chen, and Liyun Ru. Learning to Advertise: How many ads are enough? In Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'11), pages 506-518. [PDF]

2010

1. Chenhao Tan, Jie Tang, Jimeng Sun, Quan Lin, and Fengjiao Wang. Social Action Tracking via Noise Tolerant Time-varying Factor Graphs. In Proceedings of the Sixteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'10), pages 1049-1058. [PDF] [Slides] [Data&Code]
2. Chi Wang, Jiawei Han, Yuntao Jia, Jie Tang, Duo Zhang, Yintao Yu, and Jingyi Guo. Mining Advisor-Advisee Relationships from Research Publication Networks. In Proceedings of the Sixteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'10), pages 203-212. [PDF] [Slides] [System] [Data&Code]
3. Yizhou Sun, Jie Tang, Jiawei Han, Manish Gupta, and Bo Zhao. Community Evolution Detection in Dynamic Heterogeneous Information Networks. In Proceedings of 2010 KDD Workshop on Mining and Learning with Graphs (MLG'10). [PDF]
4. Zi Yang, Wei Li, Jie Tang, and Juanzi Li. Term Filtering with Bounded Error. In Proceedings of 2010 IEEE International Conference on Data Mining (ICDM'10), pages 609-618. [PDF] [Data&Code]
5. Yuan Zhang, Jie Tang, Jimeng Sun, Yiran Chen, and Jinghai Rao. MoodCast: Emotion Prediction via Dynamic Continuous Factor Graph Model. In Proceedings of 2010 IEEE International Conference on Data Mining (ICDM'10), pages 1193-1198. [PDF]
6. Lu Liu, Jie Tang, Jiawei Han, Meng Jiang, and Shiqiang Yang. Mining Topic-Level Influence in Heterogeneous Networks. In Proceedings of the Nineteenth Conference on Information and Knowledge Management (CIKM'10), pages 199-208. [PDF] [Data&Code] [Code]
7. Lixin Shi, Yuhang Zhao, and Jie Tang. Combining Link and Content for Collective Active Learning. In Proceedings of the Nineteenth Conference on Information and Knowledge Management (CIKM'10), pages 1829-1832. [PDF]
8. Zi Yang, Jingyi Guo, Keke Cai, Jie Tang, Juanzi Li, Li Zhang, and Zhong Su. Understanding Retweeting Behaviors in Social Networks. In Proceedings of the Nineteenth Conference on Information and Knowledge Management (CIKM'10), pages 1633-1636. [PDF]
9. Daifeng Li, Bing He, Ying Ding, Jie Tang, Cassidy Sugimoto, Zheng Qin, Erjia Yan, Juanzi Li, and Tianxi Dong. Community-based Topic Modeling for Social Tagging. In Proceedings of the Nineteenth Conference on Information and Knowledge Management (CIKM'10), pages 1565-1568. [PDF]
10. Yajie Miao, Chunping Li, Jie Tang, and Lili Zhao. Identifying New Categories in Community Question Answering Archives: A Topic Modeling Approach. In Proceedings of the Nineteenth Conference on Information and Knowledge Management (CIKM'10), pages 1673-1676. [PDF]
11. Yi Cai, Ho-fung Leung, Qing Li, Jie Tang, and Juanzi Li. Recommendation Based On Object Typicality. In Proceedings of the Nineteenth Conference on Information and Knowledge Management (CIKM'10), pages 1529-1532. [PDF]
12. Yi Cai, Ho-fung Leung, Qing Li, Jie Tang, and Juanzi Li. TyCo: Towards Typicality-based Collaborative Filtering Recommendation. In Proceedings of the 22th International Conference on Tools with Artificial Intelligence (ICTAI'10), pages 97-104. [PDF]
13. Wenbin Tang, Jie Tang, Chenhao Tan. Expertise Matching via Constraint-based Optimization. In Proceedings of 2010 IEEE/WIC/ACM International Conferences on Web Intelligence (WI'10), pages 34-41. [PDF] [Data&Code]
14. Yuan Zhang, Ning Zhang, Jie Tang, Jinghai Rao, Wenbin Tang. MQuery: Fast Graph Query via Semantic Indexing for Mobile Context. In Proceedings of 2010 IEEE/WIC/ACM International Conferences on Web Intelligence (WI'10), pages 508-515. [PDF]
15. Yajie Miao, Lili Zhao, Chunping Li, Jie Tang. Automatically Grouping Questions in Yahoo!Answers. In Proceedings of 2010 IEEE/WIC/ACM International Conferences on Web Intelligence (WI'10), pages 350-357. [PDF]

2009

1. Jie Tang, Jimeng Sun, Chi Wang, and Zi Yang. Social Influence Analysis in Large-scale Networks. In Proceedings of the Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'09), pages 807-816. [PDF] [Slides] [Data] [Code] (Top 4 cited papers among all papers published at KDD 2009-2013's, More...)
2. Zi Yang, Jie Tang, Bo Wang, Jingyi Guo, Juanzi Li, and Songcan Chen. Expert2Bole: From Expert Finding to Bole Search. (Demo Paper) In Proceedings of the Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'09). [PDF] [Demo]
3. Jun Li, Juanzi Li, Jie Tang. A Flexible Topic-driven Framework for News Exploration. (Demo Paper) In Proceedings of the Fifteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'09). [PDF]
4. Jie Tang, Ho-fung Leung, Qiong Luo, Dewei Chen, and Jibing Gong. Towards Ontology Learning from Folksonomies. In Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI'09), pages 2089-2095. [PDF] [Slides]
5. Jie Tang, Jing Zhang, Jeffrey Xu Yu, Zi Yang, Keke Cai, Rui Ma, Li Zhang, and Zhong Su. Topic Distributions over Links on Web. In Proceedings of 2009 IEEE International Conference on Data Mining (ICDM'09), pages 1055-1060. [PDF] [Slides]
6. Jie Tang, Limin Yao, and Dewei Chen. Multi-topic based Query-oriented Summarization. In Proceedings of 2009 SIAM International Conference on Data Mining (SDM'09), pages 1147-1158. [PDF] [Slides]
7. Feng Shi, Juanzi Li, and Jie Tang. Actively Learning Ontology Matching via User Interaction. In Proceedings of the 8th International Conference of Semantic Web (ISWC'09), pages 585-600. [PDF] [Slides]
8. Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang, and Yanzhu Liu. Heterogeneous Cross Domain Ranking in Latent Space. In Proceedings of the Eighteenth Conference on Information and Knowledge Management (CIKM'09), pages 987-996. [PDF] [Slides]
9. Qian Zhong, Hanyu Li, Juanzi Li, Guotong Xie, Jie Tang, and Lizhu Zhou. A Gauss Function based Approach for Unbalanced Ontology Matching. In Proceedings of 2009 ACM SIGMOD International Conference on Management of Data (SIGMOD'09), pages669-680. [PDF] [Slides]
10. Jie Tang and Jing Zhang. A Discriminative Approach to Topic-based Citation Recommendation. In Proceedings of 2009 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'09), pages 572-579. [PDF] [Slides]
11. Xiao Zhang, Qian Zhong, Feng Shi, Juanzi Li, and Jie Tang. RiMOM Results for OAEI 2009. In Proceedings of International Workshop of Ontology Matching on the 8th International Semantic Web Conference(OM'09).
12. Dewei Chen, Jie Tang, Juanzi Li, and Lizhu Zhou. Discovering the Staring People From Social Networks. (Poster Paper). In Proceedings of the 18th International World Wide Web Conference (WWW'09), pages 1219-1220. [PDF]
13. Zi Yang, Jie Tang, Jing Zhang, and Juanzi Li. Topic-level Random Walk Through Probabilistic Model. In Proceedings of 2009 Asia-Pacific Web Conference and Web-Age Information Management (APWEB-WAIM'09), pages 162-173.
14. Dewei Chen, Jie Tang, Limin Yao, Juanzi Li, and Lizhu Zhou. Query-Focused Summarization by Combining Topic Model and Affinity Propagation. In Proceedings of 2009 Asia-Pacific Web Conference and Web-Age Information Management (APWEB-WAIM'09), pages 174-185.

2008

1. Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. ArnetMiner: Extraction and Mining of Academic Social Networks. In Proceedings of the Fourteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'08), pages990-998. [PDF] [Slides] [System] [API] [Citation Data] [DBLP Citation Data] [Author-Conference-Topic (ACT) Model (source code)] [More Data] (SIGKDD Test-of-Time Award, the 2nd most-cited paper among all KDD 2008's papers, More...)
2. Jie Tang, Ruoming Jin, and Jing Zhang. A Topic Modeling Approach and its Integration into the Random Walk Framework for Academic Search. In Proceedings of 2008 IEEE International Conference on Data Mining (ICDM'08), pages 1055-1060. [PDF] [Slides] [Data]
3. Xin Xin, Juanzi Li, Jie Tang, and Qiong Luo. Academic Conference Homepage Understanding Using Constrained Hierarchical Conditional Random Fields. In Proceedings of the Seventeenth Conference on Information and Knowledge Management (CIKM'08), pages 1301-1310. [PDF] [Slides]
4. Jing Zhang, Jie Tang, Bangyong Liang, Zi Yang, Sijie Wang, Jingjing Zuo, and Juanzi Li. Recommendation over a Heterogeneous Social Network. In Proceedings of the 9th International Conference on Web-Age Information Management (WAIM'08), pages 309-316.
5. Yize Li and Jie Tang. Expertise Search in a Time-varying Social Network. In Proceedings of the 9th International Conference on Web-Age Information Management (WAIM'08), pages 293-300.
6. Feng Wang, Juanzi Li, Jie Tang, Jing Zhang, and Kehong Wang. Name Disambiguation Using Atomic Clusters. In Proceedings of the 9th International Conference on Web-Age Information Management (WAIM'08), pages 357-364.
7. Qian Zhong, Juanzi Li, Jie Tang, Yi Li, and Lizhu Zhou. Path similarity based Directory Ontology Matching. In Proceedings of the 9th International Conference on Web-Age Information Management (WAIM'08), pages 37-44.
8. Xiao Zhang, Qian Zhong, Juanzi Li, Jie Tang. Result of Ontology Alignment with RiMOM at OAEI'08. In Proceedings of International Workshop of Ontology Matching on the 7th International Semantic Web Conference(OM'08).
9. Juanzi Li, Gui-rong Xue, Jie Tang, and Ying Ding. WWW 2008 workshop on social web search and mining: SWSM2008. In Proceedings of the 17th International World Wide Web Conference (WWW'08). ACM Press, pages 1281-1282.
10. Jie Tang, Jing Zhang, Duo Zhang, and Juanzi Li. A Unified Framework for Name Disambiguation. (Poster Paper). In Proceedings of the 17th International World Wide Web Conference (WWW'08). ACM Press, pages 1205-1206. [PDF]
11. Jie Tang, Jing Zhang, Limin Yao, and Juanzi Li. Extraction and Mining of an Academic Social Network. (Poster Paper). In Proceedings of the 17th International World Wide Web Conference (WWW'08). ACM Press, pages 1193-1194. [PDF]
12. Jing Zhang, Jie Tang, Liu Liu, and Juanzi Li. A Mixture Model for Expert Finding. In Proceedings of 2008 Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'08), pages 466-478. [URL] [PDF] [Slides]

2007

1. Jie Tang, Duo Zhang, and Limin Yao. Social Network Extraction of Academic Researchers. In Proceedings of 2007 IEEE International Conference on Data Mining (ICDM'07), pages 292-301. [PDF] [Slides] [Data]
2. Jie Tang, Jing Zhang, Duo Zhang, Limin Yao, and Chunlin Zhu. ArnetMiner: An Expertise Oriented Search System for Web Community. Semantic Web Challenge. In Proceedings of the 6th International Conference of Semantic Web (ISWC'07).
3. Limin Yao, Jie Tang, and Juanzi Li. A Unified Approach to Researcher Profiling. In Proceedings of 2007 IEEE/WIC/ACM International Conferences on Web Intelligence (WI'07), pages 359-366.
4. Xin Xin, Jie Tang, and Juanzi Li. Enhancing Semantic Web by Semantic Annotation: Experiences in Building an Automatic Conference Calendar. In Proceedings of 2007 IEEE/WIC/ACM International Conferences on Web Intelligence (WI'07), pages 439-442.
5. Duo Zhang, Jie Tang, Juanzi Li, and Kehong Wang. A Constraint-Based Probabilistic Framework for Name Disambiguation. In Proceedings of the Sixteenth Conference on Information and Knowledge Management (CIKM'07), pages 1019-1022.
6. Zhifeng Gu, Juanzi Li, Jie Tang, Bin Xu, and Ruobo Huang. Verification of Web Service Conversations Specified in WSCL. In Proceedings of 31st Annual IEEE International Computer Software and Applications Conference (COMPSAC'07), pages 432-437.
7. Jie Tang, Mingcai Hong, Jing Zhang, Bangyong Liang, Limin Yao, and Juanzi Li. ArnetMiner: Toward Building and Mining Social Networks. In Proceedings of the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'07). (Demo Session)
8. Chonghui Zhu, Jie Tang, Hang Li, Hwee Tou Ng, and Tiejun Zhao. A Unified Tagging Approach to Text Normalization. In Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics (ACL'07), pages 688-695 [PDF] [PPT]
9. Yi Li, Qian Zhong, Juanzi Li, Jie Tang. Result of Ontology Alignment with RiMOM at OAEI'07. In Proceedings of International Workshop of Ontology Matching on the 6th International Semantic Web Conference(OM'07 ).
10. Yi Li, Jie Tang, Duo Zhang, and Juanzi Li. Toward Strategy Selection for Ontology Alignment. (Poster) In Proceedings of the 4th European Semantic Web Conference 2007 (ESWC'07).
11. Juanzi Li, Jie Tang, Jing Zhang, Qiong Luo, Yunhao Liu, and Mingcai Hong. EOS: Expertise Oriented Search Using Social Networks. In Proceedings of the 16th International World Wide Web Conference (WWW'07), pages 1271-1272 [PDF]
12. Duo Zhang, Mingcai Hong, and Jie Tang. Social SIM Networks. (Telcel Award). In the 8th Worldwide Mobile Communication and Java Card-TM Developer Contest (SIMagine'07 Finalist).
13. Jing Zhang, Jie Tang, and Juanzi Li. Expert Finding in a Social Network. In Proceedings of the Twelfth Database Systems for Advanced Applications (DASFAA'07), pages 1066-1069 [PDF]

2006

1. Jie Tang, Mingcai Hong, Juanzi Li, and Bangyong Liang. Tree-Structured Conditional Random Fields for Semantic Annotation. In Proceedings of the 5th International Conference of Semantic Web (ISWC'06), pages 640-653 [PPT] [PDF]
2. Yi Li, Juanzi Li, Duo Zhang, and Jie Tang. Result of Ontology Alignment with RiMOM at OAEI'06. In Proceedings of International Workshop of Ontology Matching on the 5th International Semantic Web Conference ( OM'06 ). [PPT] [PDF]
3. Mingcai Hong, Jie Tang, and Juanzi Li. Semantic Annotation Using Horizontal and Vertical Contexts. In Proceedings of the 1st Asian Semantic Web Conference (ASWC'06), pages 58-64 [PDF]
4. Jie Tang, Mingcai Hong, Jing Zhang, Bangyong Liang, and Juanzi Li. A New Approach to Personal Network Search based on Information Extraction. (Demo paper). In Proceedings of the 1st Asian Semantic Web Conference (ASWC'06). [PPT] [PDF]
5. Bangyong Liang, Jie Tang, Juanzi Li, and Kehong Wang. SWARMS: A Tool for Domain Exploration in Semantic Web and its Application in FOAF Domain. (Demo paper). In Proceedings of 1st Asian Semantic Web Conference (ASWC'06). [PPT] [PDF]
6. Bangyong Liang, Jie Tang, Juanzi Li, and Kehong Wang.  SWARMS: A Tool for Domain Exploration in Semantic Web. In Proceedings of Semantic Knowledge Grid Conference (SKG'06).
7. Bangyong Liang, Jie Tang, Juanzi Li, and Kehong Wang. Semantic Similarity based Ontology Cache. In Proceedings of the Eighth Asia Pacific Web Conference (APWeb'06), pages250-262.
8. Kuo Zhang, Jie Tang, Mingcai Hong, and Juanzi Li. Weighted Ontology based Semantic Search Exploiting Semantic Similarity. In Proceedings of the Eighth Asia Pacific Web Conference (APWeb'06), pages 498-510.
9. Juanzi Li, Jie Tang, Qiang Song, and Peng Xu. Table Detection from Plain Text using Machine Learning and Document Structure. In Proceedings of the Eighth Asia Pacific Web Conference (APWeb'06), pages818-823.
10. Kuo Zhang, Hui Xu, Jie Tang, and Juanzi Li. Keyword Extraction Using Support Vector Machine. In Proceedings of the Seventh International Conference on Web-Age Information Management (WAIM'06), pages 85-96.

2005

1. Jie Tang, Hang Li, Yunbo Cao, and Zhaohui Tang. Email Data Cleaning. In Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'05), pages 489-499. [PDF] [Slides]
2. Bangyong Liang, Jie Tang, and Juanzi Li. SWARMS: A Tool for Exploring Domain Knowledge. In Proceedings of the Workshop of Contexts and Ontologies on the 20th International AAAI Conference (AAAI'05).
3. Bangyong Liang, Jie Tang, and Juanzi Li. Association Search in Semantic Web: Search + Inference. In Proceedings of the 14th International World Wide Web Conference (WWW'05), pages 992-993.
4. Kuo Zhang, Jie Tang, Juanzi Li, and Kehong Wang. Feature-Correlation based Multi-View Detection. In Proceedings of 2005 International Conference on Computational Science and its Applications (ICCSA'05), pages 1222-1230.
5. Jie Tang, Bangyong Liang, and Juanzi Li.  Multiple Strategies Detection in Ontology Mapping. (Poster Paper). In Proceedings of the 14th International World Wide Web Conference (WWW'05), pages 1040-1041.
6. Jie Tang, Bangyong Liang, and Juanzi Li. Toward Detecting Strategies for Ontology Mapping. In Proceedings of the Workshop on Semantic Computing in the 14th International World Wide Web Conference.

2004

1. Bangyong Liang, Jie Tang, Juanzi Li, and Kehong Wang. Using DAML+OIL to Enhance Search Semantic. In Proceedings of 2004 IEEE/WIC/ACM International Conferences on Web Intelligence (WI'04), pages 465-468
2. Bangyong Liang, Jie Tang, Juanzi Li, and Kehong Wang. Resource Association Discovery in Semantic Web. In Proceedings of IEEE International Conference on e-Commerce Technology for Dynamic E-Business (CEC-EAST'04), pages 266-269.
3. Jie Tang, Bangyong Liang, Juanzi Li, and Kehong Wang. Risk Minimization based Ontology Mapping. In Proceedings of 2004 Advanced Workshop on Content Computing (AWCC'04), pages 469-480.
4. Jie Tang, Juanzi Li, Kehong Wang, and Yueru Cai. Loss Minimization based Keyword Distillation. In Proceedings of the 6th Asia-Pacific Web Conference (APWEB'04), pages 572-577.
5. Bangyong Liang, Jie Tang, Juanzi Li, and Kehong Wang. Keyword Extraction based Peer Clustering. In Proceedings of the third International Conference on Grid and Cooperative Computing (GCC'04), pages 827-830.
6. Xiaoqin Xie, Jie Tang, Juanzi Li, and Kehong Wang. A Component Retrieval Method based on Facet-Weight Self-Learning. In Proceedings of 2004 Advanced Workshop on Content Computing (AWCC'04), pages 388-399.

2003

1. Jie Tang, Juanzi Li, Kehong Wang, and Yueru Cai. Multi-Senses and Multi-Dependencies Discovery among Words. In Proceedings of 2003 International Conference on Natural Language Processing and Knowledge Engineering (NLP-KE'03), pages 132-137.
2. Jie Tang, Juanzi Li, Kehong Wang, and Yueru Cai. Research of Satisfied Atomic and Anonymous Electronic Commerce Protocol. In Proceedings of the second International Conference on Grid and Cooperative Computing (GCC'03), pages 319-326.
3. Jie Tang, Juanzi Li, Kehong Wang, and Yueru Cai. Research of Atomic and Anonymous Electronic Commerce Protocol. In Proceedings of the 9th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC'03), pages 711-714.

Last updated date: April 12, 2023, by Jie Tang.