Correspondence

Telephone: +86-551-63601558
Email:
Homepage: http://staff.ustc.edu.cn/~cheneh
Office: Room 625, Diansan Building, West Campus of USTC
Mail: En-Hong Chen, School of Computer Science and Technology, University of Science and Technology of China (USTC), Hefei, Anhui,230027

[Brief Biography]           [Selected Publications]           [Academic Activities]           [Awards]           [Courses]          


Brief Biography

I am a Professor and vice dean of School of Computer Science of University of Science and Technology of China(USTC), CCF Fellow, IEEE Senior Member (Since 2007), and winner of the National Science Fund for Distinguished Young Scholars (in 2013). I am also the vice director of the National Engineer Laboratory for Speech and Language Information Processing, the director of Anhui Province Key Laboratory of Big Data Analysis and Application, and the chairman of Anhui Province Big Data Industry Alliance. I received my B.Sc degree from Anhui University in 1989, Master degree from Hefei University of Technology in 1992 and Ph.D degree in computer science from USTC in 1996.

My current research interests are data mining and machine learning, especially social network analysis and recommender systems. I have published more than 150 papers on many journals and conferences, including international journals such as IEEE Trans, ACM Trans, and important data mining conferences, such as KDD, ICDM, NIPS. My research is supported by the National Natural Science Foundation of China, National High Technology Research and Development Program 863 of China, etc. I won the Best Application Paper Award on KDD2008 and Best Research Paper Award on ICDM2011.


Selected Publications

2017

  1. Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Meng Wang, Junping Du, Modeling the Evolution of Users’ Preferences and Social Links in Social Networking Services, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 29(6): 1240-1253, June 2017. [PDF]
  2. Zhefeng Wang, Yu Yang, Jian Pei, Lingyang Chu and Enhong Chen, Activity Maximization by Effective Information Diffusion in Social Networks, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), accepted, 2017.
  3. Yu Yang, Zhefeng Wang, Jian Pei and Enhong Chen, Tracking Influential Individuals in Dynamic Networks, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), accepted, 2017.
  4. Li Lyna Zhang, Chieh-Jan Mike Liang, Zhao Lucis Li, Yunxin Liu, Feng Zhao and Enhong Chen, Characterizing Privacy Risks of Mobile Apps with Sensitivity Analysis, IEEE Transactions on Mobile Computing (IEEE TMC), accepted, 2017.
  5. Qi Liu, Biao Xiang, Nicholas Jing Yuan, Enhong Chen*, Hui Xiong, Yi Zheng, Yu Yang, An Influence Propagation View of PageRank, ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 11(3): 30, March 2017. [PDF]
  6. MingHe, Yong Ge, Enhong Chen*, Qi Liu, Xuesong Wang, Exploring the Emerging Type of Comment for Online Videos: DanMu, ACM Transactions on the Web (ACM TWEB), 12(1): 1, 2017. [PDF]
  7. Dongliang He, Cuiling Lan, Chong Luo, Enhong Chen, Feng Wu, Wenjun Zeng, Progressive Pseudo-Analog Transmission for Mobile Video Streaming, IEEE Transactions on Multimedia (IEEE TMM), accepted, 2017. [PDF]
  8. Hongke Zhao, Qi Liu*, Hengshu Zhu, Yong Ge, Enhong Chen, Yan Zhu, Junping Du, A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending, IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC-S), accepted, 2017. [PDF]
  9. Hongke Zhao, Yong Ge, Qi Liu, Guifeng Wang, Enhong Chen*, Hefu Zhang, P2P Lending Survey: Platforms, Recent Advances and Prospects, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 8(6): 72, 2017. [PDF]
  10. Hao Fu, Xing Xie, Yong Rui, Neil Zhenqiang Gong, Guangzhong Sun, Enhong Chen, Robust Spammer Detection in Microblogs: Leveraging User Carefulness, ACM Transactions on Intelligent Systems and Technology (ACM TIST), special issue: Social Media Processing, accepted, 2017.
  11. Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen*, Huayu Li, Le Wu, Tracking the Dynamics in Crowdfunding, The 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2017): 625-634, Halifax, Nova Scotia, Canada, August 13-17, 2017. [PDF]
  12. Qi Liu, Guifeng Wang, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen*, Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective, The 26th International Joint Conference on Artificial Intelligence (IJCAI'2017): 695-702, Melbourne, Australia, August 19-25, 2017. [PDF]
  13. Xunpeng Huang, Le Wu, Enhong Chen*, Hengshu Zhu, Qi Liu, Yijun Wang, Incremental Matrix Factorization: A Linear Feature Transformation Perspective, The 26th International Joint Conference on Artificial Intelligence (IJCAI'2017): 1901-1908, Melbourne, Australia, August 19-25, 2017. [PDF]
  14. Zhenya Huang, Qi Liu*, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu, Question Difficulty Prediction for READING Problems in Standard Tests, The 31st AAAI Conference on Artificial Intelligence (AAAI'2017): 1352-1359, San Francisco, California USA, February 4-9, 2017. [PDF]
  15. Kun Zhang, Enhong Chen*, Qi Liu, Chuanren Liu, Guangyi Lv, A Context-Enriched Neural Network method for Recognizing Lexical Entailment, The 31st AAAI Conference on Artificial Intelligence (AAAI'2017): 3127-3133, San Francisco, California USA, February 4–9, 2017. [PDF]
  16. Runze Wu, Guandong Xu*, Enhong Chen*, Qi Liu, Wan Ng, Knowledge or Gaming? Cognitive Modelling Based on Multiple-Attempt Response, The 26th International World Wide Web Conference (WWW'2017 Companion): 321-329, Perth, Australia, April 3-7, 2017. [PDF]
  17. Enhong Chen*, Guangxiang Zeng*, Ping Luo, Hengshu Zhu, Jilei Tian, Hui Xiong, Discerning individual interests and shared interests for social user profiling, World Wide Web Journal (WWWJ), 20(2): 417-435, March 2017. [PDF]
  18. Zongda Wu*, Hui Zhu*, Guiling Li, Zongmin Cui, Hui Huang, Jun Li, Enhong Chen, Guandong Xu, An efficient Wikipedia semantic matching approach to text document classification, Information Sciences, 393: 15-28, July 2017. [PDF]
  19. Chu Guan, Yanjie Fu*, Xinjiang Lu, Enhong Chen*, Xiaolin Li, Hui Xiong, Efficient Karaoke Song Recommendation via Multiple Kernel Learning Approximation, Neurocomputing, Available online 6 March 2017. [PDF]
  20. Xiangyu Zhao, Tong Xu, Yanjie Fu, Enhong Chen, Hao Guo, Incorporating Spatio-Temporal Smoothness for Air Quality Inference, The 17th International Conference on Data Mining (ICDM'2017), accepted, New Orleans, USA, November 18-21, 2017.
  21. Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Runze Wu, Yu Su, Guoping Hu, Tracking knowledge Proficiency of Students with Educational Priors, The 26th ACM International Conference on Information and Knowledge Management (CIKM'2017), 989-998, Singapore, November 6-10, 2017. [PDF]
  22. Zai Huang, Zhen Pan, Qi Liu, Bai Long, Haiping Ma, Enhong Chen, An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers, The 26th ACM International Conference on Information and Knowledge Management (CIKM'2017), 2119-2122, Singapore, November 6-10, 2017. [PDF]
  23. Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou and Enhong Chen, Stack-based Multi-layer Attention for Transition-based Dependency Parsing, The 2017 Conference on Empirical Methods in Natural Language Processing (EMNLP'2017), 1678-1683, Copenhagen, Denmark, September 7–11, 2017. [PDF]
  24. Haocheng Wu*, Zuohui Tian, Wei Wu, and Enhong Chen. An Unsupervised Approach for Low-Quality Answer Detection in Community Question-Answering. The 22nd International Conference on Database Systems for Advanced Applications (DASFAA'2017), 85-101, Suzhou, China, March 27-30, 2017. [PDF]
  25. Li Lyna Zhang, Chieh-Jan Mike Liang, Wei Zhang, Enhong Chen, Towards A Contextual and Scalable Automated-testing Service for Mobile Apps, The 18th International Workshop on Mobile Computing Systems and Applications (HotMobile 2017), 97-102, Sonoma, California, February 21-22, 2017. [PDF]
  26. 朱天宇,黄振亚,陈恩红*,刘淇,吴润泽,吴乐,苏喻,陈志刚,胡国平,基于认知诊断的个性化试题推荐方法. 计算机学报,40(1): 176-191,2017年1月. [PDF]
  27. 王超,刘淇,陈恩红,黄振亚,朱天宇,苏喻,胡国平,面向大规模认知诊断的DINA模型快速计算方法研究. 电子学报,已接收,2017.

2016

  1. Le Wu, Qi Liu*, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie, Relevance meets Coverage: A Unified Framework to Generate Diversified Recommendations, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 7(3): 39, February 2016. [PDF]
  2. Guangming Guo, Feida Zhu, Enhong Chen*, Qi Liu, Le Wu, Chu Guan, From Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring, ACM Transactions on the Web (ACM TWEB), 10(4): 22, December 2016. [PDF]
  3. Tong Xu, Hengshu Zhu, Xiangyu Zhao, Hao Zhong, Qi Liu, Enhong Chen, Hui Xiong, Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective, The 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2016): 1285-1294, San Francisco, USA, August 13-17, 2016. [PDF]
  4. Hongke Zhao, Qi Liu*, Guifeng Wang, Yong Ge, Enhong Chen, Portfolio Selections in P2P Lending: A Multi-Objective Perspective, The 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2016): 2075-2084, San Francisco, USA, August 13-17, 2016. [PDF]
  5. Hengshu Zhu, Hui Xiong, Fangshuang Tang, Yong Ge, Qi Liu, Enhong Chen, Yanjie Fu, Days on Market: Measuring Liquidity in Real Estate Markets, The 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2016): 393-402, San Francisco, USA, August 13-17, 2016. [PDF]
  6. Lingyang Chu, Zhefeng Wang, Jian Pei, Jiannan Wang, Zijin Zhao, Enhong Chen, Finding Gangs in War from Signed Networks, The 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2016): 1505-1514, San Francisco, USA, August 13-17, 2016. [PDF]
  7. Bojie Li, Kun Tan, Layong (Larry) Luo, Yanqing Peng, Renqian Luo, Ningyi Xu, Yongqiang Xiong, Peng Cheng, Enhong Chen, ClickNP: Highly Flexible and High Performance Network Processing with Reconfigurable Hardware, ACM International Conference on the applications, technologies, architectures, and protocols for computer communication (SIGCOMM'2016): 1-14, Florianópolis, Brazil, August 22-26, 2016. [PDF]
  8. Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Fuzheng Zhang, Xing Xie, Qi Liu, Enhong Chen, A Contextual Collaborative Approach for App Usage Forecasting, The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'2016): 1247-1258, Heidelberg, Germany, September 12-16, 2016. [PDF]
  9. Guangyi Lv, Tong Xu, Enhong Chen*, Qi Liu, Yi Zheng, Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos based on Semantic Embedding, The 30th AAAI Conference on Artificial Intelligence (AAAI'2016): 3000-3006, Phoenix, Arizona USA, February 12-17, 2016. [PDF]
  10. Le Wu, Yong Ge, Qi Liu, Enhong Chen*, Bai Long, Zhenya Huang, Modeling Users’ Preferences and Social Links in Social Networking Services: a Joint-Evolving Perspective, The 30th AAAI Conference on Artificial Intelligence (AAAI'2016): 279-286, Phoenix, Arizona USA, February 12-17, 2016. [PDF]
  11. Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen*, Qi Liu, Tong Xu, Hui Xiong, Tracking the evolution of social emotions with topic models, Springer Knowledge and Information System Journal (Springer KIS), 47(3): 517-544, June 2016. [PDF]
  12. Lei Zhang, Ping Luo*, Enhong Chen*, Min Wang, Revisiting bound estimation of pattern measures: A generic framework, Information Sciences, 339: 254-273, April 2016. [PDF]
  13. Fei Tian, Bin Gao, Enhong Chen, Tie-Yan Liu, Learning Better Word Embedding by Asymmetric Low-Rank Projection of Knowledge Graph, Journal of Computer Science and Technology (JCST), 31(3): 624-634, May 2016. [PDF]
  14. Hongke Zhao, Qi Liu*, Yong Ge, Ruoyan Kong, Enhong Chen, Group Preference Aggregation: A Nash Equilibrium Approach, The 16th IEEE International Conference on Data Mining (ICDM'2016): 679-688, Barcelona, Spain, December 12-15, 2016. [PDF]
  15. Zhen Pan, Enhong Chen*, Qi Liu, Tong Xu, Haiping Ma, Hongjie Lin, Sparse Factorization Machines for Click-Through Rate Prediction, The 16th IEEE International Conference on Data Mining (ICDM'2016): 400-409, Barcelona, Spain, December 12-15, 2016. [PDF]
  16. Linli Xu, Zaiyi Chen, Qi Zhou, Enhong Chen, Nicholas Jing Yuan, Xing Xie, Aligned Matrix Completion for Recommendation in Multiple Domains, The 16th IEEE International Conference on Data Mining (ICDM'2016): 529-538, Barcelona, Spain, December 12-15, 2016. [PDF]
  17. Yijun Wang, Le Wu, Zongda Wu, Enhong Chen*, Qi Liu, Selecting Valuable Customers for Merchants in E-commerce Platforms, The 16th IEEE International Conference on Data Mining (ICDM'2016): 1281-1286, Barcelona, Spain, December 12-15, 2016. [PDF]
  18. Chu Guan, Yanjie Fu, Xinjiang Lu, Hui Xiong, Enhong Chen*, Yingling Liu. Vocal Competence Based Karaoke Recommendation: A Maximum-Margin Joint Model. In Proceedings of 2016 SIAM International Conference on Data Mining (SDM'2016): 135-143, Miami, FL USA, May 5-7, 2016. [PDF]
  19. Zhe Wang, Wei He, Hua Wu, Haiyang Wu, Wei Li, Haifeng Wang and Enhong Chen, Chinese Poetry Generation with Planning based Neural Network, The 26th International Conference on Computational Linguistics (COLING'2016): 1051-1060, Osaka, Japan, December 13-16, 2016. [PDF]
  20. Yan Zhu, Hengshu Zhu, Qi Liu, Enhong Chen*, Hong Li, Hongke Zhao. Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective. The 21st International Conference on Database Systems for Advanced Applications (DASFAA'2016): 258-273, Dallas, Texas, USA, April 16-19, 2016. [PDF]
  21. Yuping Liu, Qi Liu, Runze Wu, Enhong Chen*, Yu Su, Zhigang Chen, Guoping Hu. Collaborative Learning Team Formation: A Cognitive Modeling Perspective. The 21st International Conference on Database Systems for Advanced Applications (DASFAA'2016): 383-400, Dallas, Texas, USA, April 16-19, 2016. [PDF]
  22. Ming He, Yong Ge, Le Wu, Enhong Chen*, Chang Tan. Predicting the Popularity of DanMu-enabled Videos: A Multi-factor View. The 21st International Conference on Database Systems for Advanced Applications (DASFAA'2016): 351-366, Dallas, Texas, USA, April 16-19, 2016. [PDF]
  23. Yi Zheng, Qi Liu, Enhong Chen*, Yong Ge, J. Leon Zhao. Exploiting multi-channels deep convolutional neural networks for multivariate time series classification. Frontiers of Computer Science (FCS), 10(1): 96-112, February 2016. [PDF]
  24. Guangming Guo, Feida Zhu, Enhong Chen*, Le Wu, Qi Liu, Yingling Liu, Minghui Qiu. Personal Credit Profiling via Latent User Behavior Dimensions on Social Media. The 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2016): 130-142, Auckland, New Zealand, April 19-22, 2016. [PDF]
  25. Zhefeng Wang, Lingyang Chu, Jian Pei, Abdullah Al-Barakati, Enhong Chen*, Tradeoffs between density and size in extracting dense subgraphs: A unified framework, The 2016 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM'2016) :41-48, San Francisco, USA, August 18-21, 2016. [PDF]

2015

  1. Hengshu Zhu, Hui Xiong, Yong Ge, and Enhong Chen, Discovery of Ranking Fraud for Mobile Apps, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 27(1): 74-87, January 2015. [PDF]
  2. Hengshu Zhu, Chuanren Liu, Yong Ge, Hui Xiong, Enhong Chen, Popularity Modeling for Mobile Apps: A Sequential Approach, IEEE Transactions on Cybernetics (IEEE TC), 45(7): 1303-1314, July 2015. [PDF]
  3. Defu Lian, Xing Xie, Vincent W. Zheng, Nicholas Jing Yuan, Fuzheng Zhang, Enhong Chen , CEPR: A Collaborative Exploration and Periodically Returning Model for Location Prediction, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 6(1):8, April 2015. [PDF]
  4. Lei Zhang, Ping Luo*, Linpeng Tang, Enhong Chen*, Qi Liu, Min Wang, Hui Xiong, Occupancy-based Frequent Pattern Mining, ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 10(2):14, October 2015. [PDF]
  5. Zhefeng Wang, Enhong Chen*, Qi Liu, Yu Yang, Yong Ge, Biao Chang, Maximizing the Coverage of Information Propagation in Social Networks, The 24th International Joint Conference on Artificial Intelligence (IJCAI'2015): 2104-2110, Buenos Aires, Argentina, July 25-31, 2015. [PDF]
  6. Guangxiang Zeng, Hengshu Zhu, Qi Liu*, Ping Luo, Enhong Chen, Tong Zhang, Matrix Factorization with Scale-Invariant Parameters, The 24th International Joint Conference on Artificial Intelligence (IJCAI'2015): 4017-4024, Buenos Aires, Argentina, July 25-31, 2015. [PDF]
  7. Runze Wu, Qi Liu*, Yuping Liu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu, Cognitive Modelling for Predicting Examinee Performance, The 24th International Joint Conference on Artificial Intelligence (IJCAI'2015): 1017-1024, Buenos Aires, Argentina, July 25-31, 2015. [PDF]
  8. Yitan Li, Linli Xu, Fei Tian, Liang Jiang, Xiaowei Zhong, Enhong Chen, Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective, The 24th International Joint Conference on Artificial Intelligence (IJCAI'2015): 3650-3656, Buenos Aires, Argentina, July 25-31, 2015. [PDF]
  9. Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Yong Rui, Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data, 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2015): 1275-1284, Sydney, Australia, August 10-13, 2015. [PDF]
  10. Linli Xu, Aiqing Huang, Jianhui Chen, Enhong Chen, Exploiting Task-Feature Co-Clusters in Multi-Task Learning, The 29th AAAI Conference on Artificial Intelligence (AAAI'2015): 1931-1937, Austin, Texas USA, January 25–29, 2015. [PDF]
  11. Linli Xu, Yitan Li, Yubo Wang and Enhong Chen, Temporally Adaptive Restricted Boltzmann Machine for Background Modeling, The 29th AAAI Conference on Artificial Intelligence (AAAI'2015): 1938-1944, Austin, Texas USA, January 25–29, 2015. [PDF]
  12. Xiaowei Zhong, Linli Xu, Yitan Li, Zhiyuan Liu, Enhong Chen, A Nonconvex Relaxation Approach for Rank Minimization Problems, The 29th AAAI Conference on Artificial Intelligence (AAAI'2015): 1980-1986, Austin, Texas USA, January 25–29, 2015. [PDF]
  13. Fuzheng Zhang, Kai Zheng, Nicholas Jing Yuan, Xing Xie, Enhong Chen, Xiaofang Zhou, A Novelty-Seeking based Dining Recommender System, The 24th International World Wide Web Conference (WWW'2015): 1362-1372, May 18-22, 2015, Florence, Italy. [PDF]
  14. Xin Li, Guandong Xu*, Enhong Chen, Lin Li, MARS: A Multi-Aspect Recommender System for Point-of-Interest, The 31st IEEE International Conference on Data Engineering (ICDE'2015): 1436-1439, Seoul, Korea, April 13-17, 2015. [PDF]
  15. Zongda Wu, Jie Shi, Chenglang Lu, Enhong Chen, Guandong Xu, Guiling Li*, Sihong Xie, Philip S. Yu, Constructing plausible innocuous pseudo queries to protect user query intention, Information Sciences, 325:215-226, July 2015. [PDF]
  16. Guandong Xu, Zongda Wu*, Guiling Li, Enhong Chen, Improving contextual advertising matching by using Wikipedia thesaurus knowledge, Springer Knowledge and Information System Journal (Springer KIS), 43(3): 599-631, June 2015. [PDF]
  17. Xin Li, Guandong Xu*, Enhong Chen, and Yu Zong. Learning recency based comparative choice towards point-of-interest recommendation, Expert Systems with Applications (ESWA), 42(9):4274-4283, June 2015. [PDF]
  18. Biao Chang, Feida Zhu, Enhong Chen, Qi Liu, Information Source Detection via Maximum A Posteriori Estimation, The 15th IEEE International Conference on Data Mining (ICDM'2015): 21-30, Atlantic City, NJ, USA, November 14-17, 2015. [PDF]
  19. Xin Li, Guandong Xu, Enhong Chen*, Lin Li, Learning User Preferences across Multiple Aspects for Merchant Recommendation, The 15th IEEE International Conference on Data Mining (ICDM'2015): 865-870, Atlantic City, NJ, USA, November 14-17, 2015. [PDF]
  20. Linli Xu, Qi Zhou, Aiqing Huang, Wenjun Ouyang, Jingqi Wang, Enhong Chen, Feature Selection with Integrated Relevance and Redundancy Optimization, The 15th IEEE International Conference on Data Mining (ICDM'2015): 1063-1068, Atlantic City, NJ, USA, November 14-17, 2015. [PDF]
  21. Liyuan Liu, Linli Xu, Zhen Wang and Enhong Chen, Community Detection Based on Structure and Content: A Content Propagation Perspective, The 15th IEEE International Conference on Data Mining (ICDM'2015): 271-280, Atlantic City, NJ, USA, November 14-17, 2015. [PDF]
  22. Tong Xu, Hao Zhong, Hengshu Zhu, Hui Xiong, Enhong Chen*, Guannan Liu, Exploring the Impact of Dynamic Mutual Influence on Social Event Participation, In Proceedings of 2015 SIAM International Conference on Data Mining (SDM'2015): 262-270, Vancouver, British Columbia, Canada, April 30-May 2, 2015. [PDF]
  23. Guangxiang Zeng, Ping Luo, Enhong Chen*, Hui Xiong, Hengshu Zhu, Qi Liu, Convex Matrix Completion: A Trace-Ball Optimization Perspective, In Proceedings of 2015 SIAM International Conference on Data Mining (SDM'2015): 334-342, Vancouver, British Columbia, Canada, April 30-May 2, 2015. [PDF]
  24. Le Wu, Qi Liu, Enhong Chen, Xing Xie and Chang Tan, Product Adoption Rate Prediction: A Multi-factor View, In Proceedings of 2015 SIAM International Conference on Data Mining (SDM'2015): 154-162, Vancouver, British Columbia, Canada, April 30-May 2, 2015, (Best of SDM 2015). [PDF]
  25. Zaiyi Chen, Linli Xu, Enhong Chen, Chang Biao, Zhefeng Wang, Yitan Li, Selecting Social Media Responses to News: A Convex Framework Based On Data Reconstruction, In Proceedings of 2015 SIAM International Conference on Data Mining (SDM'2015): 541-549, Vancouver, British Columbia, Canada, April 30-May 2, 2015. [PDF]
  26. Haocheng Wu*, Yunhua Hu, Hang Li, Enhong Chen, A new approach to query segmentation for relevance ranking in web search, Information Retrieval Journal, 18(1): 26-50, February 2015. [PDF]
  27. Yi Zheng, Qi Liu, Enhong Chen*, J. Leon Zhao, Liang He, and Guangyi Lv. Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification, The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2015): 534-546, Ho Chi Minh City, Vietnam, May 19-22, 2015. [PDF]
  28. Le Wu, Yin Zhu, Nicholas Jing Yuan, Enhong Chen*, Xing Xie, Yong Rui. Predicting Smartphone Adoption in Social Networks, The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2015): 472-485, Ho Chi Minh City, Vietnam, May 19-22, 2015. [PDF]
  29. Guowei Ma, Qi Liu*, Le Wu, Enhong Chen. Identifying Hesitant and Interested Customers for Targeted Social Marketing, The 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2015): 576-590, Ho Chi Minh City, Vietnam, May 19-22, 2015. [PDF]
  30. Guowei Ma, Qi Liu*, Enhong Chen, Biao Xiang. Individual Influence Maximization via Link Recommendation, The 16th International Conference on Web-Age Information Management (WAIM'2015): 42-56, Qingdao, Shandong, China, June 8-10, 2015. [PDF]
  31. Yifan Sun, Xin Li, Lin Li, Qi Liu, Enhong Chen*, Haiping Ma. Mining users location intention from mobile search log, The 8th International Conference on Knowledge Science, Engineering and Management (KSEM'2015): 407-420, ChongQing, China, August 28-30, 2015. [PDF]

2014

  1. Jie Zhang*, Haijiang Zhang, Enhong Chen, Yi Zheng, Wenhuan Kuang & Xiong Zhang, Real-time earthquake monitoring using a search engine method, Nature Communications 5, Article number: 5664, doi:10.1038/ncomms6664, December 2014. [PDF]
  2. Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, Zhongmou Li, Xiang Wu, A Cocktail Approach for Travel Package Recommendation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 26(2): 278-293, February 2014. [PDF]
  3. Hengshu Zhu, Enhong Chen, Hui Xiong, Huanhuan Cao, Jiilei Tian, Mobile App Classification with Enriched Contextual Information, IEEE Transactions on Mobile Computing (IEEE TMC), 13(7): 1550-1563, July 2014. [PDF]
  4. Baoxing Huai, Enhong Chen, Hengshu Zhu, Hui Xiong, Tengfei Bao, Qi Liu, Jilei Tian, Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach, ACM Transactions on Knowledge Discovery from Data (ACM TKDD), 9(2): 10, September 2014. [PDF]
  5. Chang Tan, Qi Liu, Enhong Chen, Hui Xiong, Xiang Wu, Object-oriented Travel Package Recommendation, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 5(3): 43, September 2014. [PDF]
  6. Hengshu Zhu, Enhong Chen, Hui Xiong, Kuifei Yu, Huanhuan Cao, Jilei Tian, Mining Mobile User Preferences for Personalized Context-Aware Recommendation, ACM Transactions on Intelligent Systems and Technology (ACM TIST), 5(4): 58, December 2014. [PDF]
  7. Hengshu Zhu, Hui Xiong*, Yong Ge, Enhong Chen*, Mobile App Recommendations with Security and Privacy Awareness, The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2014): 951-960, New York, NY, USA, August 24-27, 2014. [PDF]
  8. Defu Lian, Cong Zhao, Xing Xie, Guangzhong Sun, Enhong Chen, Yong Rui, GeoMF: Joint Geographical Modeling and Matrix Factorization for Point-of-Interest Recommendation, The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2014): 831-840, New York, NY, USA, August 24-27, 2014. [PDF]
  9. Fei Tian, Bin Gao, Qing Cui, Enhong Chen, Tie-Yan Liu, Learning Deep Representations for Graph Clustering, The 28th AAAI Conference on Artificial Intelligence (AAAI'2014): 1293-1299, Québec City, Canada, Jul 27-31, 2014. [PDF]
  10. Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu, Agent Behavior Prediction and Its Generalization Analysis, The 28th AAAI Conference on Artificial Intelligence (AAAI'2014): 1300-1306, Québec City, Canada, Jul 27-31, 2014. [PDF]
  11. Zhefeng Wang, Hao Wang, Qi Liu, Enhong Chen*, Influential Nodes Selection: A Data Reconstruction Perspective, The 37th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2014): 879-882, Golden Coast, Australia, July 6-11, 2014. [PDF]
  12. Tong Xu, Hengshu Zhu, Enhong Chen*, Baoxing Huai, Hui Xiong, Jilei Tian, Learning to Annotate via Social Interaction Analytics, Springer Knowledge and Information System Journal (Springer KIS) , 41(2): 251-276, November 2014. [PDF]
  13. Hengshu Zhu, Enhong Chen*, Hui Xiong, Huanhuan Cao, Jilei Tian, Ranking User Authority with Relevant Knowledge Categories for Expert Finding, Springer World Wide Web Journal (Springer WWWJ), 17: 1081-1107, September 2014. [PDF]
  14. Qi Liu, Zheng Dong, Chuanren Liu, Xing Xie, Enhong Chen*, Hui Xiong. Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective. The 14th IEEE International Conference on Data Mining (ICDM'2014): 350-359, Shenzhen, China, December 14-17, 2014. [PDF]
  15. Chen Zhu, Hengshu Zhu*, Yong Ge, Enhong Chen, Qi Liu. Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective. The 14th IEEE International Conference on Data Mining (ICDM'2014): 697-706, Shenzhen, China, December 14-17, 2014. [PDF]
    Notice: The conference version has an error in the part of graphical model. We have fixed it. We apologize for our mistake.
  16. Hongke Zhao, Le Wu, Qi Liu, Yong Ge, Enhong Chen*. Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management. The 14th IEEE International Conference on Data Mining (ICDM'2014): 1109-1114, Shenzhen, China, December 14-17, 2014. [PDF]
  17. Linli Xu, Zhen Wang, Zefan Shen, Yubo Wang, Enhong Chen. Learning Low-Rank Label Correlations for Multi-label Classification with Missing Labels. The 14th IEEE International Conference on Data Mining (ICDM'2014): 1067-1072, Shenzhen, China, December 14-17, 2014. [PDF]
  18. Aiqing Huang, Linli Xu*, Yitan Li, Enhong Chen. Robust Dynamic Trajectory Regression on Road Networks: A Multi-Task Learning Framework. The 14th IEEE International Conference on Data Mining (ICDM'2014): 857-862, Shenzhen, China, December 14-17, 2014. [PDF]
  19. Qi Liu, Biao Xiang, Enhong Chen*, Hui Xiong, Fangshuang Tang, Jeffrey Xu Yu, Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach, The 23rd ACM International Conference on Information and Knowledge Management (CIKM'2014) : 171-180, Shanghai, China, November 3-7, 2014. [PDF]
  20. Biao Chang, Hengshu Zhu, Yong Ge, Enhong Chen*, Hui Xiong, Chang Tan, Predicting the Popularity of Online Serials with Autoregressive Models, The 23rd ACM International Conference on Information and Knowledge Management (CIKM'2014): 1339-1348, Shanghai, China, November 3-7, 2014. [PDF]
  21. Haocheng Wu, Wei Wu, Ming Zhou, Enhong Chen, Lei Duan, Heung-Yeung Shum, Improving Search Relevance for Short Queries in Community Question Answering, The 7th ACM International Conference on Web Search and Data Mining (WSDM'2014): 43-52, New York, NY, USA, February 24-28, 2014. [PDF]
  22. Defu Lian, Yin Zhu, Xing Xie, Enhong Chen, Analyzing Location Predictability on Location-Based Social Networks, The 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'2014): 102-113, Tainan, Taiwan, China, May 13-16, 2014. [PDF]
  23. Kuifei Yu*, Hengshu Zhu, Huanhuan Cao, Baoxian Zhang, Enhong Chen, Jilei Tian, Jinghai Rao, Learning to detect subway arrivals for passengers on a train. Frontiers of Computer Science (Springer FCS), 8(2): 316-329, April 2014. [PDF]
  24. Hanchao Wang, Lili Zhou, Yu Zong, Lei Zhang, Enhong Chen, Xin Li, and Jun Chen, An Intelligent Search Platform for Business News, The 15th International Conference on Web-Age Information Management (WAIM'2014):744-755, Macau, China, June 16-18, 2014. [PDF]
  25. Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, and J. Leon Zhao, Time Series Classification using Multi-Channels Deep Convolutional Neural Networks, The 15th International Conference on Web-Age Information Management (WAIM'2014):298-310, Macau, China, June 16-18, 2014. [PDF]
  26. Lili Zhou, Hanchao Wang, Lei Zhang, Enhong Chen, and Jun Chen, A Novel Knowledge Network Framework for Financial News Navigation, The 15th International Conference on Web-Age Information Management (WAIM'2014):723-727, Macau, China, June 16-18, 2014. [PDF]
  27. Fangshuang Tang, Qi Liu, Hengshu Zhu, Enhong Chen*, Feida Zhu, Diversified Social Influence Maximization, the 2014 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM'2014) :455 - 459, Beijing, China, August 17-20, 2014. [PDF]

2013

  1. Zhen Liao, Daxin Jiang, Jian Pei, Yalou Huang, Enhong Chen, Huanhuan Cao, Hang Li, A vlHMM Approach to Context-Aware Search, ACM Transactions on the Web (ACM TWEB), 7(4):22, October 2013. [PDF]
  2. Wanyong Tian, Yingchao Zhao, Liang Shi, Qingan Li, Jianhua Li, Chun Jason Xue, Minming Li, Enhong Chen, Optimal Task Allocation on Non-Volatile Memory Based Hybrid Main Memory, IEEE Transactions on Very Large Scale Integration Systems (IEEE TVLSI), 21(7): 1271-1284, July 2013. [PDF]
  3. Qi Liu, Haiping Ma, Enhong Chen, Hui Xiong, A Survey of Context-Aware Mobile Recommendations. International Journal of Information Technology and Decision Making (IJITD), 12(1): 139-172, January 2013. [PDF]
  4. Biao Xiang, Qi Liu, Enhong Chen, Hui Xiong, Yi Zheng, PageRank with Priors: An Influence Propagation Perspective. The 23rd International Joint Conference on Artificial Intelligence (IJCAI'2013): 2740-2746, Beijing, China, August 3-9, 2013. [PDF]
  5. Qi Liu, Biao Xiang, Lei Zhang, Enhong Chen*, Ji Chen. Linear Computation for Independent Social Influence. The 13th IEEE International Conference on Data Mining (ICDM'2013): 468-477, Dallas, Texas, USA, December 7-10, 2013. [PDF]
  6. Guangxiang Zeng, Ping Luo, Enhong Chen, Min Wang, From Social User Activities to People Affiliation. The 13th IEEE International Conference on Data Mining (ICDM'2013): 1277-1282, Dallas, Texas, USA, December 7-10, 2013. [PDF]
  7. Hao Wang, Zhengdong Lu, Hang Li and Enhong Chen, A Dataset for Research on Short-Text Conversation, The 2013 Conference on Empirical Methods on Natural Language Processing (EMNLP'2013): 935-945, Seattle, USA, October 18-21, 2013. [PDF]
  8. Hengshu Zhu, Hui Xiong*, Yong Ge, Enhong Chen, Ranking Fraud Detection for Mobile Apps: A Holistic View, The 22rd ACM International Conference on Information and Knowledge Management (CIKM'2013): 619-628, San Francisco, CA, USA, October 27-November 1, 2013. [PDF]
  9. Miao Zhang, Chunni Dai, Chris H. Q. Ding, Enhong Chen, Probabilistic Solutions of Influence Propagation on Social Networks. The 22rd ACM International Conference on Information and Knowledge Management (CIKM'2013): 429-438, San Francisco, CA, USA, October 27-November 1, 2013. [PDF]
  10. Xiang Wu, Qi Liu, Enhong Chen, Liang He, Jingsong Lv, Can Cao, Guoping Hu, Personalized Next-song Recommendation in Online Karaokes. The ACM Conference Series on Recommender Systems (RecSys'2013): 137-140, Hong Kong, China, October 12-16, 2013. [PDF]
  11. Zongda Wu, Guandong Xu, Chenglang Lu*, Enhong Chen, Yanchun Zhang, Hong Zhang, Position-wise Contextual Advertising: Placing Relevant Ads at Appropriate Positions of A Web Page. Neurocomputing, 120: 524-535, November 2013. [PDF]
  12. Weiwei Wu*, Minming Li, Enhong Chen, Optimal Key Tree Structure for Two-user Replacement and Deletion Problems. Journal of Combinatorial Optimization (J. Comb. Optim). 26(1): 44-70, July 2013. [PDF]
  13. Kuifei Yu, Hengshu Zhu, Huanhuan Cao, Baoxian Zhang, Enhong Chen, Jilei Tian, Jinghai Rao, Learning to Detect the Subway Station Arrival for Mobile Users. The 14th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'2013): 49-57, Hefei, Anhui, China, October 20-23, 2013. [PDF]
  14. Yue You, Guangyan Huang, Jian Cao*, Enhong Chen, Jing He, Yanchun Zhang, Liang Hu, GEAM: A General and Event-Related Aspects Model for Twitter Event Detection. The 14th International Conference on Web Information System Engineering (WISE'2013) 2013: 319-332, Nanjing, China, October 13-15, 2013. [PDF]
  15. 孙光福,吴乐,刘淇,朱琛,陈恩红*,基于时序行为的协同过滤推荐算法,软件学报,24(11): 2721 – 2733,2013年11月. [PDF]

2012

  1. Qi Liu, Enhong Chen, Hui Xiong, Chris H.Q. Ding, Jian Chen, Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking, IEEE Transactions on Systems, Man, and Cybernetics - Part B (IEEE TSMCB), 42(1):218-233, February 2012. [PDF]
  2. Xueying Li, Huanhuan Cao, Enhong Chen*, and Jilei Tian, Learning to Infer the Status of Heavy-duty Sensors for Energy-efficient Context-sensing. ACM Transactions on Intelligent Systems and Technology (ACM TIST). 3(2):35:565-582. 23, February 2012. [PDF]
  3. Hengshu Zhu, Enhong Chen, Huanhuan Cao, Jilei Tian, Context-Aware Expert Finding in Tag Based Knowledge Sharing Communities. International Journal of Knowledge and Systems Science (IJKSS) 3(1): 48-63, January 2012.
  4. Lei Zhang, Linpeng Tang, Ping Luo, Enhong Chen, Limei Jiao, Min Wang, Guiquan Liu, Harnessing the Wisdom of the Crowds for Accurate Web Page Clipping, The 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2012): 570-578, Beijing, China, August 12-16, 2012. [PDF]
  5. Haiping Ma, Huanhuan Cao, Qiang Yang, Enhong Chen and Jilei Tian, A Habit Mining Approach for Discovering Similar Mobile Users, The 21st International World Wide Web Conference (WWW'2012): 231-240, Lyon, France, April 16-20, 2012. [PDF]
  6. Junyuan Xie, Linli Xu, Enhong Chen, Image Denoising and Inpainting with Deep Neural Networks, Neural Information Processing Systems Foundation (NIPS'2012): 350-358, Lake Tahoe, Nevada, USA, December 3–6, 2012. [PDF]
  7. Tengfei Bao, Happia Cao, Enhong Chen*, Jilei Tian, and Hui Xiong. An unsupervised approach to modeling personalized contexts of mobile users. Springer Knowledge and Information Systems Journal (Springer KIS), 31(2): 345–370, May 2012. [PDF]
  8. Jingsong Lv, Victor C.S.Lee*, Minming li, Enhong Chen, Profit-based scheduling and channel allocation for multi-item requests in real-time on-demand data broadcast systems, Data and Knowledge Engineering (DKE), 73: 23–42, March 2012. [PDF]
  9. Haiping Ma, Enhong Chen*, Hui Xiong, Linli Xu, Capturing Correlations of Multiple Labels: A Generative Probabilistic Model for Multi-Label Text Data, Neurocomputing, 92:116-123, September 2012. [PDF]
  10. Weiwei Wu, Minming li, Wanyong Tian, Jason Chun Xue, Enhong Chen, Single and Multiple Device DSA Problems, Complexities and Online Algorithms, Theoretical Computer Science (TCS), 420: 89–98, February 2012. [PDF]
  11. Tong Xu, Dong Liu, Huanhuan Cao, Enhong Chen, Jilei Tian, Towards Annotating Media Contents through Social Diffusion Analysis, The 12th IEEE International Conference on Data Mining (ICDM'2012): 1158-1163, Brussels, Belgium, December 10-13, 2012. [PDF]
  12. Linli Xu, Bo Li, Enhong Chen, Ensemble Pruning via Constrained Eigen-Optimization, The 12th IEEE International Conference on Data Mining (ICDM'2012): 715-724, Brussels, Belgium, December 10-13, 2012. [PDF]
  13. Hengshu Zhu, Enhong Chen, Kuifei Yu, Huanhuan Cao, Hui Xiong, Jilei Tian. Mining Personal Context-Aware Preferences for Mobile Users. The 12th IEEE International Conference on Data Mining (ICDM'2012): 1212-1217, Brussels, Belgium, December 10-13, 2012. [PDF]
  14. Hengshu Zhu, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian. Exploiting Enriched Contextual Information for Mobile App Classification. The 21st ACM Conference on Information and Knowledge Management (CIKM'2012): 1617-1621, Maui, HI, USA, October 29–November 2, 2012. [PDF]
  15. Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao, Lei Zhang, Leveraging Tagging for Neighborhood-aware Probabilistic Matrix Factorization. The 21st ACM Conference on Information and Knowledge Management (CIKM'2012): 1854-1858, Maui, HI, USA, October 29–November 2, 2012. [PDF]
  16. Yu Yang, Enhong Chen, Qi Liu, Biao Xiang, Tong Xu, On Approximation of Real-World Influence Spread, The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'2012) (2) 2012: 548-564, Bristol, UK, September 24-28, 2012. [PDF]
  17. Zongda Wu, Guandong Xu, Zong Yu*, Xun Yi, Enhong Chen, Yanchun Zhang, Executing SQL queries over encrypted character strings in the Database-As-Service model. Knowledge-Based Systems (KBS) 35: 332-348, November 2012. [PDF]
  18. Wenhui Yang, Guiquan Liu, Lei Zhang, Enhong Chen, Multi-View Learning with Batch Mode Active Selection for Image Retrieval, The 21st International Conference on Pattern Recognition (ICPR'2012): 979-982, Tsukuba, Japan, November 11-15, 2012. [PDF]
  19. Xueying Li, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian, BP-Growth: Searching Strategies for Efficient Behavior Pattern Mining, The 13th International Conference on Mobile Data Management (MDM'2012): 238-247, Bengaluru, India, July 23-26, 2012. [PDF]
  20. Tengfei Bao, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian, Mining Significant Places from Cell ID Trajectories: A Geo-grid Based Approach. The 13th International Conference on Mobile Data Management (MDM'2012): 288-293, Bengaluru, India, July 23-26, 2012. [PDF]
  21. Tengfei Bao, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian, A Demonstration of Mining Significant Places from Cell ID Trajectories through a Geo-grid Based Approach. The 13th International Conference on Mobile Data Management (MDM'2012): 328-331, Bengaluru, India, July 23-26, 2012. [PDF]

2011

  1. Zhen Liao, Daxin Jiang*, Enhong Chen, Jian Pei, Huanhuan Cao, Hang Li, Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion. ACM Transactions on Intelligent Systems and Technology (ACM TIST), 3(1):17, October 2011. [PDF]
  2. Qi Liu, Yong Ge, Zhongmou li, Enhong Chen*, Hui Xiong*, Personalized Travel Package Recommendation. The 11th IEEE International Conference on Data Mining (ICDM'2011):407-416 (Best Research Paper) Vancouver, Canada, December 11-14, 2011. [PDF]
  3. Hengshu Zhu, Huanhuan Cao, Hui Xiong, Enhong Chen, Jilei Tian, Towards Expert Finding by Leveraging Relevant Categories in Authority Ranking, The 20th ACM Conference on Information and Knowledge Management (CIKM'2011): 2221-2224, Glasgow, UK, October 24-28, 2011. [PDF]
  4. Fan Ye*, Qing Li, Enhong Chen. Benefit based cache data placement and update for mobile peer to peer networks. Springer World Wide Web Journal (Springer WWWJ), 14(3): 243-259, May 2011. [PDF]
  5. Enhong Chen*, Yanggang Lin, Hui Xiong, Qiming Luo, and Haiping Ma, Exploiting Probabilistic Topic Models to Improve Text Categorization under Class Imbalance, Information Processing and Management (IPM), 47(2),202-214, March 2011. [PDF]
  6. Qiming Luo*, Enhong Chen, Hui Xiong, A Semantic Term Weighting Scheme for Text Categorization, Expert Systems With Applications (ESWA), 38(10): 12708-12716, September 2011. [PDF]
  7. Qi Liu, Enhong Chen, Biao Xiang, Chris H. Q. Ding, Liang He, Gaussian Process for Recommender Systems. The 2011 International Conference on Knowledge Science, Engineering and Management (KSEM'2011): 56-67, Irvine, California, USA, December 12-14, 2011. [PDF]
  8. Hengshu Zhu, Enhong Chen, Huanhuan Cao, Finding Experts in Tag Based Knowledge Sharing Communities. the 2011 International Conference on Knowledge Science, Engineering and Management (KSEM'2011): 183-195, (Best Student Paper), Irvine, California, USA, December 12-14, 2011. [PDF]
  9. Yu Zong, Guandong Xu, Ping Jin*, Yanchun Zhang, Enhong Chen, HC_AB: A new heuristic clustering algorithm based on Approximate Backbone. Information Processing Letters (IPL), 111(17): 857-863 , September 2011. [PDF]

2010

  1. Biao Xiang, Daxin Jiang, Jian Pei, Xiaohui Sun, Enhong Chen, Hang Li, Context-Aware Ranking in Web Search, The 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2010): 451-458, Geneva, Switzerland, July 19-23, 2010. [PDF]
  2. Tengfei Bao, Happia Cao, Enhong Chen, Jilei Tian, Hui Xiong, An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users. The 10th IEEE International Conference on Data Mining (ICDM'2010) : 38-47, Sydney, Australia, Dec 13-17, 2010. [PDF]
  3. Huanhuan Cao, Tengfei Bao, Qiang Yang, Enhong Chen, Jilei Tian, An Effective Approach for Mining Mobile User Habits, The 19th ACM International Conference on Information and Knowledge Management (CIKM'2010): 1677-1680, Toronto, Canada, October 26-30, 2010. [PDF]
  4. Qi Liu, Enhong Chen, Hui Xiong, Chris Ding, Exploiting User Interests for Collaborative Filtering:Interests Expansion via Personalized Ranking, The 19th ACM International Conference on Information and Knowledge Management (CIKM'2010): 1697-1700, Toronto, Canada, October 26-30, 2010. [PDF]
  5. Fan Ye*, Qing Li, Enhong Chen, Benefit Based Cache data Placement and Update for Mobile Peer to Peer Networks, The 3rd IEEE International Conference on Ubi-Media Computing (U-Media 2010), pp 50-57, Jinhua, China, July 5-7, 2010. (U-media 2010 Best Paper Award). [PDF]
  6. Lei Zhang, Guiquan Liu, Xuechen Zhang, Song Jiang, Enhong Chen. Storage Device Performance Prediction with Selective Bagging Classification and Regression Tree. The 7th IFIP International Conference on Network and Parallel Computing (NPC'2010): 121-133, Zhengzhou, China, September 13-15, 2010. [PDF]
  7. Yi Zheng, Qifeng Dai, Qiming Luo, Enhong Chen, Hedge Classification with Syntactic Dependency Features based on an Ensemble Classifier, The 14th Conference on Computational Natural Language Learning (CoNLL'2010): 151-156, Uppsala, Sweden, July 15-16, 2010. [PDF]
  8. Wanyong Tian, Minming Li*, Enhong Chen, Energy Optimal Schedules for Jobs with Multiple Active Intervals, Theoretical Computer Science (TCS), 411(3): 672-676, January 2010. [PDF]

2009

  1. Huanhuan Cao, Derek Hao Hu, Dou Shen, Daxin Jiang, Jian-Tao Sun, Enhong Chen, Qiang Yang, Context-Aware Query Classification, The 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2009): 3-10, July 19–23, 2009, Boston, Massachusetts, USA. [PDF]
  2. Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, Hang Li, Towards Context-Aware Search by Learning A Very Large Variable Length Hidden Markov Model from Search Logs, The 18th International World Wide Web Conference (WWW'2009): 191-200, April 20–24, 2009, Madrid, Spain. [PDF]
  3. Huanhuan Cao, Enhong Chen, Jie Yang, Hui Xiong, Enhancing Recommender Systems under Volatile User Interest Drifts, The 18th ACM International Conference on Information and Knowledge Management (CIKM'2009): 1257-1266, November 2–6, 2009, Hong Kong, China. [PDF]
  4. Qifeng Dai, Enhong Chen and Liu Shi, An Iterative Approach for Joint Dependency Parsing and Semantic Role, The 13th Conference on Computational Natural Language Learning (CoNLL'2009), Boulder, Colorado, USA, June 4-5, 2009. [PDF]
  5. Weiwei Wu, Minming Li* and Enhong Chen, Optimal Tree Structures for Group Key Tree Management Considering Insertion and Deletion Cost, Theoretical Computer Science (TCS), 410(27-29), 2619-2631, June 2009. [PDF]
  6. Weiwei Wu, Minming Li, Enhong Chen, Min-Energy Scheduling for Aligned Jobs in Accelerate Model. The 20th International Symposium on Algorithms and Computation (ISAAC'2009): 462-472,December 16-18, 2009, Hawaii, USA. [PDF]

2008

  1. Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen liao, Enhong Chen, Hang Li, Context-Aware Query Suggestion by Mining Click-Through and Session Data, in the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD'2008): 875-883, Las Vegas, Nevada, USA, August 24–27, 2008.(Best Application Paper Award). [PDF]
  2. Xiaojun Quan, Enhong Chen, Qiming Luo, Hui Xiong, Adaptive Label-Driven Scaling for Latent Semantic Indexing, The 31st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2008): 827-828, July 20–24, 2008, Singapore. [PDF]
  3. Weiwei Wu, Minming Li and Enhong Chen. Optimal Key Tree Structure for Deleting Two or More Leaves, The 19th International Symposium on Algorithms and Computation (ISAAC'2008): 77-88, Gold Coast, Australia, 2008. [PDF]
  4. Enhong Chen, Liu Shi and Dawei Hu. Probabilistic Model for Syntactic and Semantic Dependency Parsing, the 12th Conference on Computational Natural Language Learning (CoNLL'2008), Manchester, UK, August 16-17, 2008. [PDF]
  5. Weiwei Wu, Minming Li and Enhong Chen, Optimal Tree Structures for Group Key Tree Management Considering Insertion and Deletion Cost, The Fourteenth Annual International Computing and Combinatorics Conference (COCOON'2008), June 27-29, Dalian, China. [PDF]
  6. Fan Ye, Qing Li, Enhong Chen, Adaptive Caching with Heterogeneous Devices in Mobile Peer to Peer Network, The 23rd Annual ACM Symposium on Applied Computing (SAC'2008), March 16-20, 2008, Fortaleza, Ceará, Brazil. [PDF]
  7. Enhong Chen, Huanhuan Cao, Qing Li*, Tieyun Qian, Efficient Strategies for Tough Aggregate Constraint Based Sequential Pattern Mining, Information Sciences, 178(6):1498-1518, March 2008. [PDF]

Before 2007

  1. Tieyun Qian*, Hui Xiong, Yuanzhen Wang, Enhong Chen, On the Strength of Hyperclique Patterns for Text Categorization, Information Sciences, 177(19): 4040-4058, October 2007. [PDF]
  2. Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen, Adapting Association Patterns for Text Categorization: Weakness and enhancements, The 15th ACM International Conference on Information and Knowledge Management (CIKM'2006): 782-783, November 5–11, 2006, Arlington, Virginia, USA. [PDF]
  3. Enhong Chen, Shu Wang, Phillip C-y Sheu, A Novel Approach of Table Detection and Analysis for Semantic Annotation, International Journal on Artificial Intelligence Tools (IJAIT), 15(3): 465-480, June 2006. [PDF]
  4. Enhong Chen, Xujia Chen, Phillip C.-Y. Sheu, Tieyun Qian, An Evolutionary Computational Method for N-Connection Subgraph Discovery, The 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'2006): 169-178, Arlington, VA, USA, 13-15 November 2006. [PDF]
  5. Min Li, Enhong Chen, Phillip C-y SHEU. A Chord-based Novel Mobile Peer-to-Peer File Sharing Protocol, The 8th Asia-Pacific Web Conference (APWeb'2006): 806-811, Harbin, China, January 16-18, 2006. [PDF]
  6. Tak-Lam Wong, Wai Lam, Enhong Chen, Automatic Domain Ontology Generation from Web Sites, Journal of Integrated Design and Process Science, 9(3): 29-38, September 2005. [PDF]

Selected Academic Activities

  • Editorial Board Member:
    • IEEE Transactions on Systems, Man and Cybernetics: Systems, Associate Editor
    • World Wide Web Journal, Associate Editor
    • Journal of Software (软件学报), Guest Editor of Big Data Analysis
    • Journal of Computer Research and Development (计算机研究与发展)
    • Pattern Recognition and Artificial Intelligence (模式识别与人工智能)
  • Journal Reviewer:
    • IEEE Transactions on Knowledge and Data Engineering
    • ACM Transactions on Intelligent Systems and Technology
    • ACM Transactions on Knowledge Discovery from Data
    • Journal of Computer Science and Technology
    • SCIENCE CHINA Information Sciences
  • PC Member:
    • The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2010, 2012, 2013, 2014, 2015, 2016, 2017)
    • The International Joint Conference on Artificial Intelligence (2015, 2017)
    • The AAAI Conference on Artificial Intelligence (2012, 2016, 2017)
    • The IEEE International Conference on Data Mining (2012, 2013, 2015, 2017)
    • The SIAM International Conference on Data Mining (2013, 2014, 2015)
    • The ACM International Conference on Information and Knowledge Management (2016, 2017)
    • The Pacific-Asia Conference on Knowledge Discovery and Data Mining (2013, 2014, 2015, 2016)
    • The International Conference on Web-Age Information Management (2013, 2014, 2015)
    • The ACM Recommender Systems Conference (2014, 2015, 2017)
    • The International Conference on Web Information Systems Engineering (2015)
  • Conference/Workshop Organization:
    • Co-chair, KDD’2012 Workshop on Context Discovery and Data Mining
    • PC Chair, The 29th National Database Conference of China (NDBC 2012)
    • PC Chair, The 5th China Conference on Data Mining (CCDM 2014)
    • PC Chair, The 12th China National Computer Congress (CNCC 2015)
    • PC Chair, The 3th CCF BigData Conference (2015)

Honors and Awards

  • Second Prize of Natural Science Award (Rank 1st, by Ministry of Education, 2012)
  • CAS Excellence Award for Advisor (2012, 2014, 2016)
  • CCF National Excellent Doctorial Dissertation Award for Advisor (2010)
  • Pollyanna Chu's Award for Excellence Advisor (2013, 2014, 2016)
  • Kuancheng Wang's Award for Education (2006)
  • Program for New Century Excellent Talents in University (2005)

Courses

  • Machine Learning and Knowledge Discovery (1998~2017 Spring or Fall Semester)