陈恩红


电 话0551-63601558

E-  Mailcheneh@ustc.edu.cn 

实验室主页http://bigdata.ustc.edu.cn/ 

个人主页:http://staff.ustc.edu.cn/~cheneh  

实验室地址:中科大西区科技实验楼西楼2楼


主要研究方向机器学习、数据挖掘、社会网络、个性化推荐系统等



陈恩红,博士,中国科学技术大学教授,博士生导师,国家杰出青年基金获得者,国家“万人计划”创新领军人才,科技部重点领域创新团队“大数据分析及应用”团队负责人,第二届上海市决策咨询委员会委员,中国计算机学会会士、中国人工智能学会会士,安徽省计算机学会理事长。1996年获中国科学技术大学计算机软件专业博士学位。2005年入选教育部新世纪优秀人才支持计划、2015年获安徽省政府特殊津贴,2016年入选安徽省“特支计划”创新领军人才。现任中国科学技术大学大数据学院执行院长,计算机科学与技术学院副院长,语音及语言信息处理国家工程实验室副主任,大数据分析及应用安徽省重点实验室主任。担任教育部计算机类专业教学指导委员会委员,中国计算机学会大数据专家委员会副主任、人工智能与模式识别专委会委员、数据库专委会委员、大数据专家委员会委员,中国人工智能学会知识工程与分布智能专业委员会副主任委员、机器学习专委会常务委员。曾任中国计算机学会YOCSEF合肥分论坛首任主席(2011年)、安徽省计算机类专业合作委员会主任。担任IEEE Transaction on Knowledge and Data Engineering、ACM Transaction on Intelligent Systems and Technology、Knowledge and Information System、WWW Journal、IEEE Transactions on System、Man and Cybernetics:System,计算机研究与发展、模式识别与人工智能、计算机应用、智能系统学报等多个国内外学术期刊编委,多次担任KDD、IJCAI、AAAI、ICDM、PAKDD、SDM等重要国际学术会议的程序委员会委员,全国性学术会议NDBC’2012、CCDM’2014、CNCC’2015等的程序委员会主席以及BDTC 2019大会主席等。作为项目负责人,承担了国家自然科学基金重大科研仪器研制项目、国家杰出青年基金项目、面上项目、联合重点基金项目,以及863计划、科技部重点研发计划课题等项目,以及与诺基亚、阿里巴巴、华为、讯飞、今日头条、微众银行、美团等的合作项目。在国内外重要学术期刊TKDE、TKDD、TMC、TIST、TC和数据挖掘及人工智能领域重要国际学术会议KDD、WWW、SIGIR、ICDM、NIPS、ECML-PKDD、CIKM、AAAI、IJCAI等发表学术论文200余篇,获数据挖掘领域顶级会议KDD2008最佳应用论文奖、ICDM2011最佳研究论文奖、SDM2015最佳论文提名奖、KDD2018最佳学生论文奖等,获2012年度教育部自然科学二等奖,作为第一完成人获得2018年教育部自然科学一等奖,多次获得中科院优秀导师奖、中科院朱李月华优秀教师奖。指导的博士生获得中科院、中国计算机学会、中国人工智能学会等的优秀博士论文奖,以及中科院院长中科院院长特别奖、优秀奖等。


主要讲授课程:

硕士生课程:机器学习与知识发现、机器学习与数据挖掘前沿

本科生课程:数据科学导论


获奖情况:

1995年获中国科学院院长优秀奖

2005年入选教育部新世纪优秀人才支持计划

2006年获王宽诚育才奖一等奖

2008KDD最佳应用论文奖

2010年中国计算机学会(CCF)优秀博士论文导师奖

2011ICDM最佳研究论文奖

2012年“情境数据挖掘方法及应用研究”获教育部自然科学二等奖(排名第1

2012年中国科学院优秀导师奖

2013年国家杰出青年基金获得者

2013年中国科学院“朱李月华优秀教师奖”

2014年中国科学院优秀导师奖

2015SDM最佳论文提名

2015年安徽省政府特殊津贴

2015年中国科学院“朱李月华优秀教师奖”

2016年中国科学院优秀导师奖

2016年中国科学院“朱李月华优秀教师奖”

2016年安徽省“特支计划”创新领军人才

2016年著作入选“Notable Computing Books and Articles - 2016”

2017年入选“万人计划”科技创新领军人才

2017年创新人才推进计划重点领域创新团队

2017年中国人工智能学会优秀博士论文导师奖

2018年KDD最佳学生论文奖

2018年KSEM最佳论文奖

2018年高等学校科学研究优秀成果奖自然科学奖一等奖

2019年KDD CUP 2019特别奖

2019年第十七届中国机器学习会议(CCML2019)最佳学生论文奖


主要论著:

[160] Jianqing Gao, Jun Du, Enhong Chen, Mixed-Bandwidth Cross-Channel Speech Recognition via Joint Optimization of DNN-Based Bandwidth Expansion and Acoustic Modeling, IEEE/ACM Trans. Audio, Speech & Language Processing (IEEE-ACM T AUDIO SPE) 27(3): 559-571,2019

[159] Yijun Wang, Yingce Xia, Li Zhao, Jiang Bian, Tao Qin, Enhong Chen, Tie-Yan Liu, Semi-Supervised Neural Machine Translation via Marginal Distribution Estimation, IEEE/ACM Trans. Audio, Speech & Language Processing (IEEE-ACM T AUDIO SPE)  27(10): 1564-1576,2019

[158] Liang He, Bin Shao, Yanghua Xiao, Yatao Li, Tie-Yan Liu, Enhong Chen, Huanhuan Xia, Neurally-Guided Semantic Navigation in Knowledge Graph, IEEE Transactions on Big Data (IEEE TBD)  accepted,2019

[157] Guifeng Wang, Qi Liu, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen, Product Supply Optimization for Crowdfunding Campaigns, IEEE Transactions on Big Data (IEEE TBD)  accepted,2019

[156] Tong Xu, Hengshu Zhu, Hao Zhong, Guannan Liu, Hui Xiong, Enhong Chen, Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)  31(6): 1122-1135,2019

[155] Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu, EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)  accepted,2019

[154] Tong Xu, Hengshu Zhu, Hui Xiong, Hao Zhong, Enhong Chen, Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Network, IEEE Transactions on Mobile Computing (IEEE TMC)  17(2): accepted,2019

[153] Defu Lian, Xing Xie, Enhong Chen. Discrete Matrix Factorization and Extension for Fast Item Recommendation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)  17(2): accepted,2019

[152] Hongke Zhao, Binbin Jin, Qi Liu, Yong Ge, Enhong Chen, Tong Xu, Xi Zhang, Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)  17(2): accepted,2019

[151] Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu, Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems, IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC)  accepted,2019

[150] Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu, Multi-Level Image-Enhanced Sentence Representation Net for Natural Language Inference, IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC)  accepted,2019

[149] Biao Chang, Enhong Chen, Feida Zhu, Qi Liu, Tong Xu, Zhefeng Wang, Maximum a Posteriori Estimation for Information Source Detection, IEEE Transactions on Systems, Man, and Cybernetics: Systems (IEEE TSMC)  accepted,2019

[148] Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu, Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach, IJCAI  2019

[147] Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong, Trend-Aware Tensor Factorization for Job Skill Demand Analysis, IJCAI  2019

[146] Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu and Wen Su, MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network, KDD  2019

[145] Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su, QuesNet: A Unified Representation for Heterogeneous Test Questions, KDD  2019

[144] Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang, Exploiting Cognitive Structure for Adaptive Learning, KDD  2019

[143] Le Zhang, Chen Zhu, Hengshu Zhu, Tong Xu, Enhong Chen, Chuan Qin, Hui Xiong, Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model, WWW  2019

[142] Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie,  DRr-Net: Dynamic Re-read Network for Sentence Semantic Matching, AAAI  2019

[141] Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge, Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective, AAAI  2019

[140] Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen, Interactive Attention Transfer Network for Cross-domain Sentiment Classification, AAAI  2019

[139] Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi, Bowen Zhou, Enhong Chen, Tianbao Yang, Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions, ICLR  2019

[138] Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang, Product Adoption Rate Prediction in a Competitive Market, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)  30(2): 325-338,2018

[137] Qi Liu, Runze Wu, Enhong Chen, Guandong Xu, Yu Su, Zhigang Chen, Guoping Hu, Fuzzy Cognitive Diagnosis for Modelling Examinee Performance, ACM Transactions on Intelligent Systems and Technology (ACM TIST)  9(4): 48,2018

[136] 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)  17(2): 279-292,2018

[135] 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)  48(1): 21-33,2018

[134] Defu Lian, Kai Zheng, Yong Ge, Longbing Cao, Enhong Chen, Xing Xie, GeoMF++: Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization, ACM Transactions on Information System  36(3): 33 2018

[133] Zongda Wu, Guiling Li, Qi Liu, Guandong Xu, Enhong Chen, Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation, IEEE Transactions on Services Computing  11(3): 493-506 2018

[132] Ming He, 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): 1:1-1:33 2018

[131] Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu, Transcribing Content from Structural Images with Spotlight Mechanism, KDD  2018

[130] Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu, Finding Similar Exercises in Online Education Systems, KDD  2018

[129] Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen, Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors, KDD  2018

[128] Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen, XiaoIce Band: A Melody and Arrangement Generation Framework for PopMusic, KDD  2018

[127] Zaiyi Chen, Yi Xu, Enhong Chen, Tianbao Yang, SADAGRAD: Strongly Adaptive Stochastic Gradient Methods, ICML  2018

[126] Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen, Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data, IJCAI  2018

[125] Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong, Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach, SIGIR  2018

[124] Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang, Confidence-aware Matrix Factorization for Recommender Systems, AAAI  2018

[123] Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen, Joint Training for Neural Machine Translation Models with Monolingual Data, AAAI  2018

[122] Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris Ding, Si Wei, Guoping Hu, Exercise-Enhanced Sequential Modeling for Student Performance Prediction, AAAI  2018

[121] 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): 1240-1253,2017

[120] 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)  29(11): 2374-2387,2017

[119] Yu Yang, Zhefeng Wang, Jian Pei and Enhong Chen, Tracking Influential Individuals in Dynamic Networks, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)  29(11): 2615-2628,2017

[118] 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): 30,2017

[117] 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)  19(8): 1894-1907,2017

[116] 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

[115] 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)  8(6): 83,2017

[114] Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu, Tracking the Dynamics in Crowdfunding, KDD  2017

[113] Qi Liu, Guifeng Wang, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen, Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective, IJCAI  2017

[112] Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang, Incremental Matrix Factorization: A Linear Feature Transformation Perspective, IJCAI  2017

[111] 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, AAAI  2017

[110] Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv, A Context-Enriched Neural Network method for Recognizing Lexical Entailment, AAAI  2017

[109] Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou and Enhong Chen, Stack-based Multi-layer Attention for Transition-based Dependency Parsing, EMNLP  2017

[108] 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)  10(2):14,2015

[107] 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(2):14,2015

[106] 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, KDD  2016

[105] Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen, Portfolio Selections in P2P Lending: A Multi-Objective Perspective, KDD  2016

[104] Hengshu Zhu, Hui Xiong, Fangshuang Tang, Yong Ge, Qi Liu, Enhong Chen, Yanjie Fu, Days on Market: Measuring Liquidity in Real Estate Markets, KDD  2016

[103] Lingyang Chu, Zhefeng Wang, Jian Pei, Jiannan Wang, Zijin Zhao, Enhong Chen, Finding Gangs in War from Signed Networks, KDD  2016

[102] Guangyi Lv, Tong Xu, Enhong Chen, Qi Liu, Yi Zheng, Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos based on Semantic Embedding, AAAI  2016

[101] 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, AAAI  2016

[100] Zongda Wu, Guiling Li, Qi Liu, Guandong Xu, Enhong Chen, Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation, IEEE Transactions on Services Computing (IEEE TSC)  PP(99): 1-1, 2016

[99] 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): 1303-1314,2015

[98] 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):14,2015

[97] Yingzi Wang, Nicholas Jing Yuan, Defu Lian, Linli Xu, Xing Xie, Enhong Chen, Regularity and Conformity: Location Prediction Using Heterogeneous Mobility Data, IJCAI 2015

[96] Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge, Biao Chang, Maximizing the Coverage of Information Propagation in Social Networks, KDD 2015

[95] Guangxiang Zeng, Hengshu Zhu, Qi Liu, Ping Luo, Enhong Chen, Tong Zhang, Matrix Factorization with Scale-Invariant Parameters, IJCAI 2015

[94] Runze Wu, Qi Liu, Yuping Liu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu, Cognitive Modelling for Predicting Examinee Performance, IJCAI 2015

[93] Yitan Li, Linli Xu, Fei Tian, Liang Jiang, Xiaowei Zhong, Enhong Chen, Word Embedding Revisited: A New Representation Learning and Explicit Matrix Factorization Perspective, IJCAI 2015

[92] Linli Xu, Aiqing Huang, Jianhui Chen, Enhong Chen, Exploiting Task-Feature Co-Clusters in Multi-Task Learning, AAAI 2015

[91] Linli Xu, Yitan Li, Yubo Wang and Enhong Chen, Temporally Adaptive Restricted Boltzmann Machine for Background Modeling, AAAI 2015

[90] Xiaowei Zhong, Linli Xu, Yitan Li, Zhiyuan Liu, Enhong Chen, A Nonconvex Relaxation Approach for Rank Minimization Problems, AAAI 2015

[89] Fuzheng Zhang, Kai Zheng, Nicholas Jing Yuan, Xing Xie, Enhong Chen, Xiaofang Zhou, A Novelty-Seeking based Dining Recommender System, WWW 2015

[88] 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(TIST),  6(1):8, 2015

[87] Hengshu Zhu, Hui Xiong, Yong Ge, and Enhong Chen, Discovery of Ranking Fraud for Mobile Apps, IEEE Transactions on Knowledge and Data Engineering (TKDE), 27(1): 74-87, 2015

[86] Baoxing Huai, Enhong Chen, Hengshu Zhu, Hui Xiong, Tengfei Bao, Qi Liu, Jilei Tian, Towards Personalized Context Recognition for Mobile Users: A Semi-Supervised Bayesian HMM Approach, ACM Transactions on Knowledge Discovery from Data(TKDD), 9(2): 10, 2014

[85] Fei Tian, Haifang Li, Wei Chen, Tao Qin, Enhong Chen, Tie-Yan Liu, Agent Behavior Prediction and Its Generalization Analysis, AAAI 2014

[84] Fei Tian, Bin Gao, Enhong Chen, Tie-Yan Liu, Learning Deep Representations for Graph Clustering, AAAI 2014

[83] Zhefeng Wang, Hao Wang, Qi Liu, Enhong Chen,Influential Nodes Selection: A Data Reconstruction Perspective, SIGIR 2014

[82] Hanchao Wang, Lili Zhou, Yu Zong, Lei Zhang, Enhong Chen, Xin Li, and Jun Chen, An Intelligent Search Platform for Business News, WAIM 2014

[81] Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, and J. Leon Zhao, Time Series Classification using Multi-Channels Deep Convolutional Neural Networks, WAIM 2014

[80] Lili Zhou, Hanchao Wang, Lei Zhang, Enhong Chen, and Jun Chen, A Novel Knowledge Network Framework for Financial News Navigation, WAIM 2014

[79] 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 8(2): 316-329 (2014) 

[78] Haocheng Wu, Wei Wu, Ming Zhou, Enhong Chen, Lei Duan, Heung-Yeung Shum, Improving Search Relevance for Short Queries in Community Question Answering, the Seventh ACM International Conference on Web Search and Data Mining (WSDM'14).

[77] 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’14)

[76] 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 (TKDE), 26(2):278-293, 2014

[75] Hengshu Zhu, Enhong Chen, Huanhuan Cao, Hui Xiong, Jiilei Tian, Mobile App Classification with Enriched Contextual Information, IEEE Transactions on Mobile Computing, 13(7): 1550-1563, 2014

[74] Chang Tan, Qi Liu, Enhong Chen, Hui Xiong, Xiang Wu, Object-oriented Travel Package Recommendation, ACM Transactions on Intelligent Systems and Technology, 5(3): 43, 2014

[73] Tong Xu, Hengshu Zhu, Enhong Chen, Baoxing Huai, Hui Xiong, Jilei Tian, Learning to Annotate via Social Interaction Analytics, Knowledge and Information System,41(2): 251-276 , 2014

[72] Zhen Liao, Daxin. Jiang, Jian Pei, Y. Huang, Enhong. Chen, Huanhuan. Cao, Hang. Li, A vlHMM Approach for Context-Aware Search, ACM Transactions on the Web, 7(4): 22, 2013

[71] 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 (TVLSI), 21(7): 1271-1284, 2013

[70] Qi Liu, Haiping Ma, Enhong Chen, Hui Xiong: A Survey of Context-Aware Mobile Recommendations. International Journal of Information Technology and Decision Making 12(1): 139-172 (2013)

[69] 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 (2013)

[68] Weiwei Wu, Minming Li, Enhong Chen: Optimal key tree structure for two-user replacement and deletion problems. J. Comb. Optim. 26(1): 44-70 (2013)

[67] Qi Liu, Biao Xiang, Lei Zhang, Enhong Chen, Ji Chen. Linear Computation for Independent Social Influence. the 13th IEEE Conference on Data Mining (ICDM): 468-477, 2013

[66] Guangxiang Zeng, Ping Luo, Enhong Chen, Min Wang: From Social User Activities to People Affiliation. the 13th IEEE Conference on Data Mining (ICDM): 1277-1282, 2013

[65] Biao Xiang, Qi Liu, Enhong Chen, Hui Xiong, Yi Zheng, PageRank with Priori: An Influence Propagation Perspective. In Proceedings of 23rd Internationa Joint Conference on Artificial Intelligence (IJCAI 2013): 2740-2746, 2013

[64] Hao Wang, Zhengdong Lu, Hang Li and Enhong Chen, A Dataset for Research on Short-Text Conversation, EMNLP 2013: 935-945

[63] Hengshu Zhu, Hui Xiong, Yong Ge, Enhong Chen, Ranking Fraud Detection for Mobile Apps: A Holistic View, CIKM 2013: 619-628

[62] Miao Zhang, Chunni Dai, Chris H. Q. Ding, Enhong Chen: Probabilistic solutions of influence propagation on social networks. CIKM 2013: 429-438

[61] Xiang Wu, Qi Liu, Enhong Chen, Liang He, Jingsong Lv, Can Cao, Guoping Hu: Personalized next-song recommendation in online karaokes. ACM RecSys 2013: 137-140

[60] Kuifei Yu, Hengshu Zhu, Huanhuan Cao, Baoxian Zhang, Enhong Chen, Jilei Tian, Jinghai Rao: Learning to Detect the Subway Station Arrival for Mobile Users. IDEAL 2013: 49-57

[59] 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. WISE (2) 2013: 319-332

[58] 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2013, 24(11):2721 – 2733

[57] Tong Xu, Dong Liu, Huanhuan Cao, Enhong Chen, Jilei Tian, Towards Annotating Media Contents through Social Diffusion Analysis, the 12th IEEE Conference on Data Mining (ICDM 2012):1158-1163, 2012.

[56] Linli Xu, Bo Li, Enhong Chen, Ensemble Pruning via Constrained Eigen-Optimization, the 12th IEEE Conference on Data Mining (ICDM 2012): 715-724, 2012.

[55] Hengshu Zhu, Kuifei Yu, Huanhuan Cao, Enhong Chen, Hui Xiong, Jilei Tian. Mining Personal Context-Aware Preferences for Mobile Users. the 12th IEEE Conference on Data Mining (ICDM 2012): 1212-1217, 2012.

[54] 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, Hawaii, USA, 2012

[53] 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, Hawaii, USA, 2012

[52] 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, 2012

[51] Yu Yang, Enhong Chen, Qi Liu, Biao Xiang, Tong Xu, On Approximation of Real-World Influence Spread, ECML/PKDD (2) 2012: 548-564, Bristol, UK

[50] 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)979-982Tsukuba, Japan.

[49] Qi Liu, Enhong Chen, Hui Xiong, Chris H.Q. Ding, Jian Chen, Enhancing Collaborative Filtering by User Interests Expansion via Personalized Ranking, IEEE Transactions on Systems, Man, and Cybernetics - Part B (TSMCB), 42(1):218-233, 2012

[48] Weiwei Wu, Minming Li, Wanyong Tian, Jason Chun Xue, Enhong Chen,Single and Multiple Device DSA Problems, Complexities and Online Algorithms, Theoretical Computer Science,420:89–98,2012

[47] 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, KDD 2012570-578, Beijing

[46] Xueying Li,Huanhuan Cao,Enhong Chen,Hui Xiong,Jilei Tian,BP-Growth: Searching Strategies for Efficient Behavior Pattern Mining, 13th International Conference on Mobile Data Management (MDM 2012): 238-247

[45] Tengfei Bao, Huanhuan Cao, Qiang Yang, Enhong Chen, Jilei Tian: Mining Significant Places from Cell ID Trajectories: A Geo-grid Based Approach. 13th International Conference on Mobile Data Management (MDM 2012): 288-293

[44] 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. 13th International Conference on Mobile Data Management (MDM 2012): 328-331

[43] Haiping Ma, Huanhuan Cao, Qiang Yang, Enhong Chen and Jilei Tian, A Habit Mining Approach for Discovering Similar Mobile Users, WWW 2012231-240, Lyon,France

[42] Xueying Li, Huanhuan Cao, Enhong Chen, Jilei Tian,Learning to Infer The Status of Heavy-Duty Sensors for Energy Efficient Context-Sensing, ACM Transactions on Intelligent Systems and Technology,3(2)35, 2012

[41] 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 & Knowledge Engineering, 73:23–42,2012

[40] Tengfei Bao,Huanhuan Cao,Enhong Chen,Jilei Tian,Hui Xiong,An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users, Knowledge and Information Systems, 31(2):345–370,2012

[39] Zongda Wu, Guandong Xu, Yu Zong, Xun Yi, Enhong Chen, Yanchun Zhang: Executing SQL queries over encrypted character strings in the Database-As-Service model. Knowledge Based System 35: 332-348 (2012)

[38] 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 (2012)

[37] 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 3(1): 48-63 (2012)

[36] Qi Liu, Yong Ge, Zhongmou Li, Enhong Chen, Hui Xiong, Personalized Travel Package Recommendation, ICDM 2011 (获最佳研究论文奖“Best Research Paper”Vancouver, Canada

[35] Yu ZongGuandong XuPing JinYanchun Zhang, Enhong Chen: HC_AB: A new heuristic clustering algorithm based on Approximate Backbone. Information Processing Letter,111(17): 857-863 ,2011

[34] 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, 3(1):17, 2011

[33] 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 11): 2221-2224, Glasgow, 2011

[32] Fan Ye, Qing Li, Enhong Chen. Benefit based cache data placement and update for mobile peer to peer networks. World Wide Web,14(3):243-259,2011

[31] 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, 47(2),202-214, 2011

[30] Qiming Luo; Enhong Chen; Hui Xiong. A Semantic Term Weighting Scheme for Text Categorization, Expert Systems With Applications, 38(10): 12708-12716, 2011

[29] Qi Liu, Enhong Chen, Biao Xiang, Chris H. Q. Ding, Liang He: Gaussian Process for Recommender Systems. KSEM 2011: 56-67

[28] Hengshu Zhu, Enhong Chen, Huanhuan Cao: Finding Experts in Tag Based Knowledge Sharing Communities. KSEM 2011: 183-195

[27] Tengfei Bao, Happia Cao, Enhong Chen, Jilei Tian, and Hui Xiong,An Unsupervised Approach to Modeling Personalized Contexts of Mobile Users, the 10th IEEE Conference on Data Mining (ICDM 2010): 38-47

[26] Huanhuan Cao, Tengfei Bao, Qiang Yang, Enhong Chen, Jilei Tian. An Effective Approach for Mining Mobile User Habits, The 19th ACM Conference on Information and Knowledge Management (CIKM 2010): 1677-1680

[25] Qi Liu,Enhong Chen,Hui Xiong and Chris Ding.Exploiting User Interests for Collaborative Filtering:Interests Expansion via Personalized Ranking, The 19th ACM Conference on Information and Knowledge Management (CIKM 2010): 1697-1700

[24] 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, 2010. (u-media 2010 最佳论文奖)

[23] Lei Zhang, Guiquan Liu, Xuechen Zhang, Song Jiang and Enhong Chen. Storage Device Performance Prediction with Selective Bagging Classification and Regression Tree. IFIP NPC 2010: 121-133

[22] Yi Zheng, Qifeng Dai, Qiming Luo, Enhong Chen. Hedge Classification with Syntactic Dependency Features based on an Ensemble Classifier, in the 14th Conference on Computational Natural Language Learning (CoNLL 2010)

[21] Wanyong Tian; Minming Li; Enhong Chen. Energy Optimal Schedules for Jobs with Multiple Active Intervals,Theoretical Computer Science 411(3), 672-676, 2010

[20] Biao XiangDaxin Jiang, Jian Pei, Xiaohui Sun, Enhong Chen, Hang Li. Context-Aware Ranking in Web Search, SIGIR 2010: 451-458

[19] Huanhuan Cao, Enhong Chen, Jie Yang, Hui Xiong. Enhancing Recommender Systems under Volatile User Interest Drifts, CIKM 2009: 1257-1266

[18] Qifeng Dai, Enhong Chen and Liu Shi. An Iterative Approach for Joint Dependency Parsing and Semantic Role, in the 13th Conference on Computational Natural Language Learning (CoNLL 2009), Boulder, CO, USA, June 4-5, 2009

[17] Weiwei Wu, Minming Li and Enhong Chen. Optimal tree structures for group key tree management considering insertion and deletion cost, Theoretical Computer Science 410(27-29), 2619-2631, 2009

[16] Huanhuan Cao, Derek Hao Hu, Dou Shen, Daxin Jiang, Jian-Tao Sun, Enhong Chen, Qiang Yang,Context-Aware Query Classification, SIGIR 2009: 3-10

[15] 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, WWW 2009: 191-200

[14] Weiwei WuMinming Li, Enhong Chen: Min-Energy Scheduling for Aligned Jobs in Accelerate Model. ISAAC 2009: 462-472

[13] Weiwei Wu, Minming Li and Enhong Chen. Optimal Key Tree Structure for Deleting Two or More Leavesin the 19th International Symposium on Algorithms and Computation (ISAAC 2008): 77-88, Gold Coast, Australia, 2008.

[12] Enhong Chen, Liu Shi and Dawei Hu. Probabilistic Model for Syntactic and Semantic Dependency Parsing, in the 12th Conference on Computational Natural Language Learning (CoNLL 2008), Manchester, UK, August 16-17, 2008.

[11] 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获“Best Application Paper Award”)

[10] Xiaojun Quan, Enhong Chen, Qiming Luo, Hui Xiong, Adaptive Label-Driven Scaling for Latent Semantic Indexing, In the 31st Annual International ACM SIGIR Conference (SIGIR 2008) Poster:827-828

[09] 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, June 27-29, Dalian, China (COCOON'08)

[08] Fan Ye , Qing Li, EnHong Chen, Adaptive Caching with Heterogeneous Devices in Mobile Peer to Peer Network, ACM SAC'08

[07] Enhong Chen, Huanhuan Cao, Qing Li, Tieyun Qian, Efficient Strategies for Tough Aggregate Constraint Based Sequential Pattern Mining, Information Sciences, 178(6):1498-1518, 2008

[06] Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen, On the Strength of Hyperclique Patterns for Text Categorization, Information Sciences, 177(19):4040-4058, 2007

[05] Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen, Adapting Association Patterns for Text Categorization: Weakness and enhancements, ACM Conference on information and Knowledge Management (CIKM 2006), pp.782-783, 2006

[04] 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, 15(3): 465-480, 2006.

[03] 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, 2006

[02] Min Li, Enhong Chen, Phillip C-y SHEU. A Chord-based Novel Mobile Peer-to-Peer File Sharing Protocol, APWeb'06,3841: 806-811

[01] Tak-Lam Wong, Wai Lam, Enhong Chen, Automatic Domain Ontology Generation from Web Sites, Journal of Integrated Design and Process Science, 9(3), 2005