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陈恩红


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陈恩红

 

电 话:(0551)63601558

E- Mail:cheneh@ustc.edu.cn

实验室主页:http://dm.ustc.edu.cn

个人主页:http://staff.ustc.edu.cn/~cheneh

 
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。
 

陈恩红,博士,教授,博导,国家杰出青年基金获得者,科技部重点领域创新团队负责人,CCF会士。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。教育部计算机类专业教学指导委员会委员,安徽省计算机学会理事长,中国计算机学会理事、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)。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、计算机应用等国内外学术期刊编委,KDD、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等。承担了国家自然科学基金杰出青年基金项目、面上项目、联合重点基金项目,以及863计划、国家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和数据挖掘领域重要国际学术会议KDD、WWW、SIGIR、ICDM、NIPS、ECML-PKDD、CIKM等发表学术论文100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最佳论文提名奖等,获2012年度教育部自然科学二等奖,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、高级人工智能
本科生课程:人工智能基础、数理逻辑等

 

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

2008年KDD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

2011年ICDM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

2015年SDM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

 

     

主 要 论 著

   

近年来主要论著: 

[88] 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), accepted

[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), accepted

[86] 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), accepted

[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, accepted, 2013

[74] Chang Tan, Qi Liu, Enhong Chen, Hui Xiong, Xiang Wu, Object-oriented Travel Package Recommendation, ACM Transactions on Intelligent Systems and Technology, accepted, 2013

[73] Tong Xu, Hengshu Zhu, Enhong Chen, Baoxing Huai, Hui Xiong, Jilei Tian, Learning to Annotate via Social Interaction Analytics, Knowledge and Information System, accepted, 2013

[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 Zong, Guandong Xu, Ping Jin, Yanchun 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 Wu, Minming 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, “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

 


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