Hengshu Zhu, 祝恒书


Ph.D., Senior Data Scientist

Baidu Talent Intelligence Center (TIC)

Address: 10 Shangdi 10th Street, Beijing, 100085, China

Email: zhuhengshu at baidu.com

 


[Biography]           [News]           [Honors & Awards]           [Publications]           [Academic Services]           [Data Sets]


Brief Biography

I am now a senior data scientist and Tech Lead at Baidu Talent Intelligence Center (TIC), working on emerging data mining and machine learning problems, with a focus on developing effective and efficient data analysis techniques for applied business research. Prior to joining TIC, I served as a senior data scientist at Baidu Research-Big Data Lab. I received my Ph.D. degree in 2014 and B.E. degree in 2009, both in Computer Science from University of Science and Technology of China (USTC). I was supported by China Scholarship Council as a Visiting Scholar at Business School, Rutgers-the State University of New Jersey during 2012-2013. I also worked as full time research intern in Nokia Research Center-Growth Economies Lab, during 2010-2012. In addition, I am the member of ACM, IEEE and CCF, and the communication committee member of CCF Task Force on Big Data (中国计算机学会大数据专家委员会).

Currently, my research interests include Business Intelligence, Organizational Behavior and Talent Analytics, Mobile Computing, and Big Data for Social Good. I have applied more than 50+ patents, and published 60+ research papers in top-ranked journals (e.g., TKDE, TMC, TKDD, TIST, TC) and conference proceedings (e.g., KDD, IJCAI, AAAI, SIGIR ICDM, CIKM, SDM) . Particularly, I won the "the Best Student Paper" in KSEM-2011, WAIM-2013 and CCDM-2014, and "the Best Paper Candidate" of ICDM-2014. Due to my academic achievement, I was honored to receive the Distinguished Dissertation Award of Chinese Academy of Sciences (CAS) (中国科学院优秀博士学位论文奖), the Distinguished Dissertation Award of China Association for Artificial Intelligence (CAAI) (中国人工智能协会优秀博士学位论文奖) and the Special Prize of President Scholarship of CAS (中国科学院院长特别奖, 2014). I also serve as a reviewer for many high-rated journals (e.g., IEEE TKDE, ACM TIST, KAIS) and the program committee member of several top conferences (e.g., KDD, IJCAI, SDM).


Media Coverage & Updates

  • Oct. 2018, 哈佛商业评论, 百度人才智库:大数据智能化人才管理, [Link] [2018年度拉姆•查兰管理实践奖]
  • Oct. 2018, MIT Technology Review, Baidu is testing neural networks that can match job seekers to jobs, [Link]
  • Oct. 2018, Fast Company, Baidu researchers are testing tech that can match job candidates with postings, [Link]
  • Oct. 2018, Tech Xplore, Baidu team's paper describes their neural net approach to match job openings with candidates, [Link]
  • Sep. 2018, AI科技评论, 百度上线智慧校园招聘,利用 AI 赋能优秀人才选拔, [Link]
  • Nov. 2017, Nikkei Asian Review, Chinese internet leaders are also HR pioneers, [Link]
  • Dec. 2016, 哈佛商业评论, 大数据+人工智能:百度这样管理人才, [Link]
  • Jan. 2015, 上海市发展和改革委员会, 大数据智能分析:外滩踩踏事故背后, [Link]
  • [Expired] August, 2018, Call For Paper, We organized "The 1st International Workshop on Organizational Behavior and Talent Analytics (OBTA-2018)" in conjunction with KDD-2018. workshop homepage

Honors & Awards

  • 2018, Ram Charan Management Practice Award-Grand Prize, Harvard Business Review (2018年度拉姆•查兰管理实践奖-全场大奖)
  • 2016, The Seeds of Baidu Top Award
  • 2016, Distinguished Dissertation Award, Chinese Academy of Sciences (CAS) (中国科学院优秀博士学位论文奖)
  • 2016, Distinguished Dissertation Award, China Association for Artificial Intelligence (CAAI) (中国人工智能协会优秀博士学位论文奖)
  • 2016, KDD Rising Stars, Bing Academic Search (KDD二十大学术新星)
  • 2014, Special Prize of President Scholarship, Chinese Academy of Sciences (CAS) (中国科学院院长特别奖)
  • 2014, IEEE ICDM-2014 Best Paper Nomination
  • 2014, CCF CCDM-2014 Best Student Paper Award
  • 2014, The 1st Huayu Scholarship for Graduate Students(第一届华瑜奖学金)
  • 2013, National scholarship for Graduate Students of China (第一届研究生国家奖学金)
  • 2013, Springer WAIM-2013 Best Student Paper Award
  • 2012, Grand Prize of Tencent Innovation Scholarship
  • 2012, Scholarship Award for Excellent Doctoral Students of China (教育部博士学术新人奖)
  • 2012, Visting Scholarship granted by China Scholarship Council (国家公派访问学者)
  • 2011, Springer KSEM-2011 Best Student Paper Award

Selected Publications

2019:

  1. Mingfei Teng, Hengshu Zhu, Chuanren Liu, Chen Zhu, Hui Xiong, Exploiting the Contagious Effect for Employee Turnover Prediction, The 33rd AAAI Conference on Artificial Intelligence (AAAI-2019) , Honolulu, Hawaii, USA, 2019.
  2. Kai Zhang, Hefu Zhang, Qi Liu,, Hongke Zhao, Hengshu Zhu, Enhong Chen, Interactive Attention Transfer Network for Cross-domain Sentiment Classification, The 33rd AAAI Conference on Artificial Intelligence (AAAI-2019) , Honolulu, Hawaii, USA, 2019.

2018:

  1. Chen Zhu, Hengshu Zhu, Hui Xiong, Chao Ma, Fang Xie, Pengliang Ding, Pan Li, Person-Job Fit: Adapting the Right Talent for the Right Job with Joint Representation Learning, ACM Transactions on Management Information Systems (ACM TMIS), 2018. [MIT Technology Review] [Fast Company] [Tech Xplore]
  2. Ying Sun, Hengshu Zhu, Fuzhen Zhuang, Jingjing Gu, Qing He, Exploring the Urban Region-of-Interest through the Analysis of Online Map Search Queries, In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2018) , London, United Kindom, 2018 [Video]
  3. 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, In Proceedings of the 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2018) , Ann Arbor, Michigan, USA, 2018. [雷锋网AI科技评论] [量子位] [读芯术]
  4. Dazhong Shen, Hengshu Zhu, Chen Zhu, Tong Xu, Chao Ma, Hui Xiong, A Joint Learning Approach to Intelligent Job Interview Assessment, In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI-2018) , Stocholm, Sweden, 2018, [雷锋网AI科技评论] [读芯术]
  5. Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, Hui Xiong, Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach, The 32nd AAAI Conference on Artificial Intelligence (AAAI-2018) , New Orleans, LA, USA, 2018. [雷锋网AI科技评论] [PaperWeekly]
  6. Qingxin Meng, Hengshu Zhu, Keli Xiao, Hui Xiong, Intelligent Salary Benchmarking for Talent Recruitment: A Holistic Matrix Factorization Approach, In Proceedings of the 18th IEEE International Conference on Data Mining (ICDM-2018) , Singapore, 2018
  7. Liang Zhang, Keli Xiao, Hengshu Zhu, Chuanren Liu, Jingyuan Yang, Bo Jin, CADEN: A Context-Aware Deep Embedding Network for Financial Opinions Mining, In Proceedings of the 18th IEEE International Conference on Data Mining (ICDM-2018) , Singapore, 2018
  8. 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), 2018.
  9. Huang Xu, Zhiwen Yu, Jingyuan Yang, Hui Xiong, Hengshu Zhu, Dynamic Talent Flow Analysis with Deep Sequence Prediction Modeling, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2018.
  10. Yanjie Fu, Guannan Liu, Pengyang Wang, Yong Ge, Hui Xiong, Hengshu Zhu, Representing Urban Forms: A Collective Learning Model with Heterogeneous Human Mobility Data, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2018.

2017:

  1. Huayu Li, Yong Ge, Hengshu Zhu, Hui Xiong, Hongke Zhao, Prospecting the Career Development of Talents: A Survival Analysis Perspective, The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017) , Halifax, Nova Scotia, Canada, 2017.
  2. Yanchi Liu, Chuanren Liu, Xinjiang Lu, Mingfei Teng, Hengshu Zhu, Hui Xiong, Point of Interest Demand Modeling with Human Mobility Patterns, The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2017) , Halifax, Nova Scotia, Canada, 2017.
  3. Hao Lin, Hengshu Zhu, Yuan Zuo, Chen Zhu, Hui Xiong, Junjie Wu, Collaborative Company Profiling: Insights from an Employee's Perspective, The 31st AAAI Conference on Artificial Intelligence (AAAI-2017) , San Francisco, CA, USA, 2017.
  4. 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), 2017.
  5. 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 (TSMC-S) , 2017.
  6. Chao Ma, Chen Zhu, Yanjie Fu, Hengshu Zhu, Guiquan Liu, Enhong Chen, Social User Profiling: A Social-Aware Topic Modeling Perspective, The 22nd International Conference on Database Systems for Advanced Applications (DASFAA-2017), Suzhou, China, March 27-30, 2017.
  7. Enhong Chen, Guangxiang Zeng, Ping Luo, Hengshu Zhu, Jilei Tian, Hui Xiong, Discerning Individual Interests and Shared Interests for Social User Profiling, Springer World Wide Web (Springer WWW) , 20(2): 417-435, March 2017.

2016:

  1. 祝恒书, 面向移动商务的数据挖掘方法及应用研究, 《中国人工智能学会通讯》 , 2016
  2. Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu, Days on Market: Measuring the Liquidity of Real Estate Markets, The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016) , San Francisco, CA, USA, 2016.
  3. Chen Zhu, Hengshu Zhu, Hui Xiong, Pengliang Ding, Fang Xie, Trend Analysis of Recruitment Market with Sequential Latent Variable Model, The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016) , San Francisco, CA, USA, 2016. [哈佛商业评论] [雷锋网AI科技评论]
  4. Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong,Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective, The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016) , San Francisco, CA, USA, 2016.
  5. Huayu Li, Yong Ge, Hengshu Zhu, Point-of-Interest Recommendations: Learning Potential Check-ins from Friends, The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016) , San Francisco, CA, USA, 2016.
  6. Huang Xu, Jingyuan Yang, Zhiwen Yu, Hui Xiong, Hengshu Zhu, Talent Circle Detection in Job Transition Networks, The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2016) , San Francisco, CA, USA, 2016. [哈佛商业评论] [雷锋网AI科技评论]
  7. 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 KAIS) , 47(3): 517-544, 2016.
  8. 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), Dallas, Texas, USA, April 16-19, 2016.

2015:

  1. Qing Wang, Hengshu Zhu, Wei Hu, Zhiyong Shen, Yuan Yao, Discerning Tactical Patterns for Professional Soccer Teams: An Enhanced Topic Model with Applications, The 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015), Sydney, Australia, August 10-13, 2015.
  2. Yanjie Fu, Guannan Liu, Spiros Papadimitriou, Hui Xiong, Yong Ge, Hengshu Zhu, Chen Zhu, Real Estate Ranking via Mixed Land-use Latent Models, The 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2015), Sydney, Australia, August 10-13, 2015.
  3. 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, 2015. [PDF] [Data Set]
  4. 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), Buenos Aires, Argentina, July 25-31, 2015.
  5. 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. [PDF] [Data Set]
  6. 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), Atlantic City, NJ, USA, November 14-17, 2015.
  7. Huang Xu, Zhiwen Yu, Hui Xiong, Bin Guo, Hengshu Zhu, Learning Career Mobility and Human Activity Patterns for Job Change Analysis, The 15th IEEE International Conference on Data Mining (ICDM-2015), Atlantic City, NJ, USA, November 14-17, 2015.
  8. Huayu Li, Hengshu Zhu, Yong Ge, Yanjie Fu, Yuan Ge, Personalized TV Recommendation with Mixture Probabilistic Matrix Factorization, In Proceedings of 2015 SIAM International Conference on Data Mining (SDM-2015), Vancouver, British Columbia, Canada, April 30-May 2, 2015.
  9. 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), Vancouver, Canada, April 30-May 2, 2015.
  10. 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), Vancouver, British Columbia, Canada, April 30-May 2, 2015.
  11. Liyang Tang, Zhiwei Ni, Hui Xiong, Hengshu Zhu, Locating Targets Through Mention in Twitter, Springer World Wide Web (Springer WWW), 18(4): 1019-1049, 2015 [PDF]
  12. Chu Guan, Qi Liu, Jingsong Lv, Enhong Chen, Hengshu Zhu, Xin Li, Consolidation: Metric+Active Learning and Its Applications For Cross-domain Recommendation, In Proceedings of the 2015 IEEE/WIC/ACM International Conference on Web Intelligence (WI-IAT 2015), Singapore, December 6-9, 2015.

2014:

  1. 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]
  2. Meng Qu, Hengshu Zhu, Junming Liu, Guannan Liu, Hui Xiong, A Cost-Effective Recommender System for Taxi Drivers, The 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2014) :45-54, New York, NY, USA, August 24-27, 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, 2014. [PDF]
  4. 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, 2014. [PDF]
  5. 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, 2014. [PDF]
  6. Hengshu Zhu, Enhong Chen, Hui Xiong, Huanhuan Cao, Jilei Tian, Ranking User Authority with Relevant Knowledge Categories for Expert Finding, Springer World Wide Web (Springer WWW), 17:1081-1107, 2014. [PDF]
  7. 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 KAIS) : 41(2): 251-276, 2014 [PDF]
  8. 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, 2014. [PDF]
  9. 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]
  10. 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] (Best Paper Nomination)
  11. Bo Jin, Yong Ge, Hengshu Zhu, Guo Li, Hui Xiong, Chao Zhang, Technology Prospecting for High Tech Companies through Patent Mining. The 14th IEEE International Conference on Data Mining (ICDM-2014), Shenzhen, China, December 14-17, 2014. [PDF]
  12. 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]
  13. 怀宝兴, 宝腾飞, 祝恒书, 刘淇, 一种基于概率主题模型的命名实体链接方法, 《软件学报》, 2014. (CCDM-2014 最佳学生论文) [PDF]

2013 and Before:

  1. 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] [Data Set]
  2. Xue Bai, Yun Xiong, Yangyong Zhu, Hengshu Zhu, Time Series Representation: A Random Shifting Perspective, the 14th International Conference on Web-Age Information Management (WAIM-2013), 37-50, Beidaihe, Hebei, China, 2013. [PDF] (Best Student Paper Award)
  3. 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]
  4. 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]
  5. 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]
  6. Kuifei Yu, Baoxian Zhang, Hengshu Zhu, Huanhuan Cao, Jilei Tian, Towards Personalized Context-Aware Recommendation by Mining Context Logs through Topic Models. The 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2012): 431-433, Kuala Lumpur, Malaysia, 2012. [PDF]
  7. 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, 2012. [PDF]
  8. 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]
  9. 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, Irvine, California, USA, December 12-14, 2011. [PDF] (Best Student Paper Award)

Patents:

      Please visit EPO, USPTO and SIPO for the 50+ patents.

Selected Academic Services

  • Conference Organizer:
    • The 1st International Workshop on Organizational Behavior and Talent Analytics (OBTA-2018), Funding Co-Chair
    • The 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2018), Session Chair
    • The 15th IEEE International Conference on Data Mining (ICDM-2015), Session Chair
  • PC Member:
    • The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2015,2016,2018)
    • The AAAI Conference on Artificial Intelligence (AAAI-2019)
    • The International Joint Conference on Artificial Intelligence (IJCAI-2015,2016,2018)
    • The IEEE International Conference on Data Mining (ICDM-2015,2017,2018)
    • The SIAM International Conference on Data Mining (SDM-2015,2016,2017,2018)
    • The ACM International Conference on Information and Knowledge Management (CIKM-2017,2018)
    • The ACM International Conference on Web Search and Data Mining (WSDM-2017)
    • The ACM Recommender Systems Conference (RecSys-2017,2018)
    • The International Conference on Database Systems for Advanced Applications (DASFAA-2016,2017)
    • The International AAAI Conference on Web and Social Media (ICWSM-2016,2017)
    • The International Conference on Big Data Computing and Communications (BIGCOM-2015)
    • The CCF Conference on Big Data (CCF BigData-2015)
    • The CCF Conf. on Natural Language Processing and Chinese Computing (NLPCC-2015)
    • The International Workshop on Mobile Data Mining (MobileDM-2015)
  • Journal Reviewer:
    • IEEE Transactions on Knowledge and Data Engineering (TKDE)
    • IEEE Transactions on Software Engineering (TSE)
    • IEEE Transactions on Systems, Man, and Cybernetics-System (TSMC-S)
    • IEEE Transactions on Systems, Man, and Cybernetics-Cybernetics (TSMC-B)
    • IEEE Transactions on Cybernetics (TC)
    • IEEE Transactions on Human-Machine Systems (THMS)
    • ACM Transactions on Intelligent Systems and Technology (TIST)
    • ACM Transactions on Knowledge Discovery from Data (TKDD)
    • ACM Transactions on Management Information Systems (TMIS)
    • ACM Transactions on Multimedia Computing, Communications and Applications (TOMM)
    • ACM Transactions on Information Systems (TOIS)
    • Elsevier Pattern Recognition
    • Springer Knowledge and Information System (KAIS)
    • Springer World Wide Web (WWWJ)
    • Springer Geoinformatica
    • Springer International Journal of Automation and Computing (IJAC)
    • Elsevier Pervasive and Mobile Computing
    • Elsevier Decision Support Systems (DSS)
    • Elsevier Information Systems
    • Journal of Internet Technology