工作单位

中国科学技术大学先进技术研究院/中国科学技术大学计算机科学与技术学院

学位/职称

博士/教授

办公室电话

0551-63601558

Email

cheneh@ustc.edu.cn

教育背景

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。 

研究方向

机器学习、数据挖掘、社会网络、个性化推荐系统。

任职经历

 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。

获得荣誉、奖项

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

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

2017年科技部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

主持、参与项目

承担了国家自然科学基金杰出青年基金项目、重大科研仪器研制项目、联合基金项目，以及863计划、国家重点研发计划课题等多项。与阿里、腾讯、百度、华为、今日头条、微众银行、美团、科大讯飞等国内知名大数据与人工智能相关的企业开展了应用合作，与北京首都旅游集团（资产千亿规模以上国有企业）建立了智慧生活方式校级联合实验室。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。

论文、著作

1.      [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

2.      [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

3.      [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

4.      [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

5.      [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

6.      [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

7.      [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

8.      [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

9.      [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

10.     [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

11.     [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

12.     [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

13.     [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

14.     [147] Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong, Trend-Aware Tensor Factorization for Job Skill Demand Analysis, IJCAI  2019

15.     [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

16.     [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

17.     [144] Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang, Exploiting Cognitive Structure for Adaptive Learning, KDD  2019

18.     [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

19.     [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

20.     [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

21.     [140] Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen, Interactive Attention Transfer Network for Cross-domain Sentiment Classification, AAAI  2019

22.     [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

23.     [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

24.     [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

25.     [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

26.     [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

27.     [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

28.     [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

29.     [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

30.     [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

31.     [130] Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu, Finding Similar Exercises in Online Education Systems, KDD  2018

32.     [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

33.     [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

34.     [127] Zaiyi Chen, Yi Xu, Enhong Chen, Tianbao Yang, SADAGRAD: Strongly Adaptive Stochastic Gradient Methods, ICML  2018

35.     [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

36.     [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

37.     [124] Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang, Confidence-aware Matrix Factorization for Recommender Systems, AAAI  2018

38.     [123] Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen, Joint Training for Neural Machine Translation Models with Monolingual Data, AAAI  2018

39.     [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

40.     [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

41.     [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

42.     [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

43.     [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

44.     [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

45.     [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

46.     [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

47.     [114] Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu, Tracking the Dynamics in Crowdfunding, KDD  2017

48.     [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

49.     [112] Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang, Incremental Matrix Factorization: A Linear Feature Transformation Perspective, IJCAI  2017

50.     [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

51.     [110] Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv, A Context-Enriched Neural Network method for Recognizing Lexical Entailment, AAAI  2017

52.     [109] Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou and Enhong Chen, Stack-based Multi-layer Attention for Transition-based Dependency Parsing, EMNLP  2017

53.     [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

54.     [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

55.     [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

56.     [105] Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen, Portfolio Selections in P2P Lending: A Multi-Objective Perspective, KDD  2016

57.     [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

58.     [103] Lingyang Chu, Zhefeng Wang, Jian Pei, Jiannan Wang, Zijin Zhao, Enhong Chen, Finding Gangs in War from Signed Networks, KDD  2016

59.     [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

60.     [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

61.     [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

62.     [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

63.     [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

64.     [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

65.     [96] Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge, Biao Chang, Maximizing the Coverage of Information Propagation in Social Networks, KDD 2015

66.     [95] Guangxiang Zeng, Hengshu Zhu, Qi Liu, Ping Luo, Enhong Chen, Tong Zhang, Matrix Factorization with Scale-Invariant Parameters, IJCAI 2015

67.     [94] Runze Wu, Qi Liu, Yuping Liu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu, Cognitive Modelling for Predicting Examinee Performance, IJCAI 2015

68.     [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

69.     [92] Linli Xu, Aiqing Huang, Jianhui Chen, Enhong Chen, Exploiting Task-Feature Co-Clusters in Multi-Task Learning, AAAI 2015

70.     [91] Linli Xu, Yitan Li, Yubo Wang and Enhong Chen, Temporally Adaptive Restricted Boltzmann Machine for Background Modeling, AAAI 2015

71.     [90] Xiaowei Zhong, Linli Xu, Yitan Li, Zhiyuan Liu, Enhong Chen, A Nonconvex Relaxation Approach for Rank Minimization Problems, AAAI 2015

72.     [89] Fuzheng Zhang, Kai Zheng, Nicholas Jing Yuan, Xing Xie, Enhong Chen, Xiaofang Zhou, A Novelty-Seeking based Dining Recommender System, WWW 2015

73.     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)

74.     Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma and Shijin Wang. Exploiting Cognitive Structure for Adaptive Learning. The 25nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2019):627-635, Anchorage, Alaska, USA, 2019.

75.     Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu, Finding Similar Exercises in Online Education Systems, The 24nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2018):1821-1830, Stockholm, 2018.7.13-2018.7.19.

76.     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, 2018.2, 9(4).

77.     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 Pop Music, The 24nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD'2018): 2837-2846, (Best Student Paper Award of Research Track), London, 2018.8.19-2018.8.23.

78.     Qi Liu, Hongke Zhao, Le Wu, Zhi Li, Enhong Chen, Illuminating Recommendation by Understanding the Explicit Item Relations, Journal of Computer Science and Technology, 2018.7, 33(4): 739-755.

79.     Qi Liu, Han Wu, Yuyang Ye, Dongfang Du, Chuanren Liu, Hongke Zhao, Patent Litigation Prediction: A Hybrid Modeling Approach, The 27th International Joint Conference on Artificial Intelligence(IJCAI'2018):5052-5059, Stockholm, 2018.7.13-2018.7.19.

80.     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, 2018.2.1, 30(2): 325-338.

81.     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, 11(3): 30, 2017.

82.     Qi Liu, Guifeng Wang, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen, Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective, Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence(IJCAI'2017):695-702, Melbourne, Australia, 2017.8.19-2017.8.25.

83.     Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen, Portfolio Selections in P2P Lending: A Multi-Objective Perspective, 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2016), accepted, San Francisco, USA, August 13-17, 2016.

84.     Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie, Mining Indecisiveness in Customer Behaviors, The 15th IEEE International Conference on Data Mining (ICDM'2015): 281-290, Atlantic City, NJ, USA, November 14-17, 2015.

85.     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, (Best of SDM 2015),Vancouver, British Columbia, Canada, April 30-May 2, 2015.

86.     Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, Zhongmou Li, XiangWu, A Cocktail Approach for Travel Package Recommendation, IEEE Transactions on Knowledge and Data Engineering, 2014, 26(2):278-293.

87.     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.

88.     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.

89.     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.

90.     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, 2012, 42(1):218-233.

91.     Qi Liu, Biao Xiang, Enhong Chen, Yong Ge, Hui Xiong, Tengfei Bao, Yi Zheng. Influential Seed Items Recommendation. The sixth ACM conference on Recommender systems ACM (RecSys'2012): 245-248, Dublin, Ireland, September 9-13, 2012.

92.    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.