Jiliang Tang. 701 First Avenue Yahoo!, Voice: (408) Sunnyvale, CA, US. Contact Information
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1 Jiliang Tang Contact Information Research Interests 701 First Avenue Yahoo!, Voice: (408) Yahoo Labs Sunnyvale, CA, US URL: Data Mining: Social Media Mining, Large-scale Signed Network Analysis, Web-scale Textual Analytics, Deep Learning in Social Network Analysis Feature Selection: Linked Feature Selection, Distributed Feature Selection, Heterogeneous Feature Selection, Multi-source Feature Selection Contextual Recommendation: Social Recommendation, Location Recommendation, Streaming Recommender Systems Privacy and Security in Social Media: Trust/distrust Computing, User Vulnerability, Social Spammer Detection Education Arizona State University, Tempe, Arizona USA August, February,2015 Ph.D., Computer Science Advisor: Dr. Huan Liu Beijing Institute of Technology, Beijing, China Master of Science, Computer Science Rank: 1/200 Beijing Institute of Technology, Beijing, China Bachelor of Engineering, Software Engineering Rank: 1/187 August, June,2010 August, June,2008 Honors and Awards Runner Up of SIGKDD Dissertation Award, SIGKDD, ACM 2015 Dean s Dissertation Award, Arizona State University 2015 Outstanding PhD Graduation, Arizona State University 2015 ASU President s Award for Innovation, Arizona State University 2014 Best Paper Shortlist, WSDM, ACM 2013 The Third Place in Next Location Prediction, Nokia 2013 Conference Travel Grant from SDM 11, SDM 12, KDD 12, WSDM 13, WWW 13, SDM 13, SDM 14, WWW 14, KDD 14, SIGWEB University Graduate Fellowship, Arizona State University 2010 CASC Fellow, Beijing Institute of Technology 2009 Microsoft Scholarship, Beijing Institute of Technology 2008 Outstanding graduates of Beijing, China 2008
2 National Scholarships of China, China 2007 Lenovo scholarship, Beijing Institute of Technology 2006 Research Experience Research Scientist, Yahoo Labs, Yahoo! Rebuilding core relevance technology for web-scale Yahoo search Leading the project of query rewriting and text matching Mining signed social networks and streaming recommender systems March, present Research Assistant, Arizona State University August, February, 2015 Advisor: Prof. Huan Liu, Fellow of IEEE Trust and distrust computing Feature selection for social media data Recommendation in social media Mining signed social networks ASU Coordination Tracker: A Crowdsourcing System for Disaster Relief Research Intern, IBM T. J. Watson Research Center May, August, 2014 Mentor: Dr. Charu Aggarwal, Fellow of IEEE, ACM and SIAM Negative link prediction Recommendation with signed networks Collective classification with signed networks Research Intern, Yahoo Labs May, August, 2013 Mentor: Yi Chang, Director of Yahoo Labs Spam and spammer detection for large-scale Yahoo mail data Sentiment analysis for short texts Research Assistant, Beijing Institute of Technology August, June, 2010 Internet public opinion management system Key technologies on cross-language text classification Translation system between Uighur and Chinese Project Leader, Beijing Institute of Technology August, June, 2008 Mentor: Lin Dai, CEO of CSBIT Database transparent encryption system Database security enhancement system Publications Summary: citations; h-index: 19; i10-index: 24 A book published by Morgan & Claypool Publishers 60+ publications, including one Best Paper Shortlist and one Nokia Mobile Data Challenge competition selected paper Books [B1] Jiliang Tang and Huan Liu. Trust in Social Media, Morgan & Claypool Publishers. Tutorials
3 [T1] Jiliang Tang and Huan Liu. Trust in Social Computing, the 23nd International World Wide Web Conference (WWW), [T2] Jiliang Tang, Jie Tang and Huan Liu. Recommendation in Social Media - Recent Advances and New Frontiers, the 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), [T3] Huiji Gao, Jiliang Tang and Huan Liu. Personalized Location Recommendation on Locationbased Social Networks, The ACM Recommender System conference (Recsys), Journal Papers [J1] Suhang Wang, Jiliang Tang, and Huan Liu. Feature Selection, Encyclopedia of Machine Learning and Data Mining, [J2] Jiliang Tang, Huiji Gao, Atish Das Sarma, Yizhou Bi and Huan Liu. Trust Evolution: Modeling and Its Applications, Transactions on Knowledge and Data Engineering (TKDE), [J3] Mohammad Ali Abbasi, Jiliang Tang and Huan Liu. Trust Aware Recommender Systems, in Machine Learning book on computational trust,chapman & Hall/CRC Press, 2015 [J4] Pritam Gundecha, Geoffrey Barbier, Jiliang Tang and Huan Liu. User Vulnerability and its Reduction on a Social Networking Site, Transactions on Knowledge Discovery from Data(TKDD), [J5] Jiliang Tang and Huan Liu. An Unsupervised Feature Selection Framework for Social Media Data, Transactions on Knowledge and Data Engineering(TKDE), [J6] Jiliang Tang and Huan Liu. Feature Selection for Social Media Data, ACM Transactions on Knowledge Discovery from Data(TKDD), [J7] Jiliang Tang, Salem Alelyani and Huan Liu. Feature Selection for Classification: A Review, in Data Classification: Algorithms and Applications. Editor: Charu Aggarwal, CRC Press, 2014 [J8] Huiji Gao, Jiliang Tang and Huan Liu. Solving the Cold Start Problem in Location Recommendation with Geo-Social Correlations, Data mining and Knowledge Discovery(DMKD), 2014 [J9] Salem Alelyani, Jiliang Tang and Huan Liu. Feature Selection for Clustering: A Review, in Data Clustering: Algorithms and Applications, Editor: Charu Aggarwal and Chandan Reddy, CRC Press,2014 [J10] Jiliang Tang, Yi Chang and Huan Liu. Mining Social Media with Social Theories: A Survey, KDD Explorations, [J11] Jiliang Tang, Xia Hu and Huan Liu. Social Recommendation: A Review, Social Network Analysis and Mining(SNAM), [J12] Jiliang Tang,Xufei Wang, Huiji Gao, Xia Hu and Huan Liu. Enriching Short Texts Representation in MicroBlog for Clustering, Frontiers of Computer Science (FCS), Conference Papers [C1] Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang and Huan Liu. Facilitating Time- Critical Information Seeking in Social Media. the IEEE International Conference on Data Mining (ICDM), [C2] Yunzhong Liu, Yi Chen, Jiliang Tang, and Huan Liu. Context-Aware Experience Extraction from Online Health Forums. IEEE International Conference on Healthcare Informatics (ICHI), 2015.
4 [C3] Suhang Wang, Jiliang Tang, and Huan Liu. Toward Dual Roles of Users in Recommender Systems. ACM International Conference of Information and Knowledge Management (CIKM), [C4] Jundong Li, Xia Hu, Jiliang Tang and Huan Liu. Unsupervised Streaming Feature Selection in Social Media. ACM International Conference of Information and Knowledge Management (CIKM), [C5] Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu Aggarwal, and Thomas Huang. Heterogeneous Network Embedding via Deep Architectures, ACM SIGKDD Conference on Knowledge Discovery and Data Mining(KDD), [C6] Suhang Wang, Jiliang Tang, Yilin Wang, and Huan Liu. Exploring Implicit Hierarchical Structures for Recommender Systems, International Joint Conference on Artificial Intelligence (IJCAI), [C7] Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu and Baoxin Li. Unsupervised Sentiment Analysis for Social Media Images, International Joint Conference on Artificial Intelligence (IJCAI), [C8] Jiliang Tang, Chikashi Nobata, Anlei Dong, Yi Chang and Huan Liu. Propagation-based Sentiment Analysis for Microblogging Data. SIAM International Conference on Data Mining (SDM), [C9] Suhang Wang, Jiliang Tang, and Huan Liu. Embedded Unsupervised Feature Selection. the AAAI Conference on Artificial Intelligence (AAAI), [C10] Huiji Gao, Jiliang Tang, Xia Hu, and Huan Liu. Content-Aware Point of Interest Recommendation on Location-Based Social Networks. the AAAI Conference on Artificial Intelligence (AAAI), [C11] Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, and Huan Liu. Leveraging Social Foci for Information Seeking in Social Media. the AAAI Conference on Artificial Intelligence (AAAI), [C12] Ying Wang, Xin Wang, Jiliang Tang, Wanli Zuo, and Guoyong Cai. Modeling Status Theory in Trust Prediction. the AAAI Conference on Artificial Intelligence (AAAI), [C13] Jiliang Tang, Shiyu Chang, Charu Aggarwal, and Huan Liu. Negative Link Prediction in Social Media. ACM International Conference on Web Search and Data Mining (WSDM), [C14] Xia Hu, Jiliang Tang, Huiji Gao, and Huan Liu. Social Spammer Detection with Sentiment Information. IEEE International Conference on Data Mining (ICDM), 2014 [C15] Jiliang Tang, Xia Hu, Yi Chang, and Huan Liu. Predictability of Distrust with Interaction Data. ACM International Conference on Information and Knowledge Management (CIKM), 2014 [C16] Jiliang Tang, Xia Hu and Huan Liu. Is Distrust the Negation of Trust? The Value of Distrust in Social Media. ACM Hypertext conference (HT), [C17] Mohammad Ali Abbasi, Reza Zafarani, Jiliang Tang, and Huan Liu. Am I More Similar to My Followers or Followees? Homophily Effect in Directed Online Social Networks. ACM Hypertext conference (HT), [C18] Mohammad Ali Abbasi, Jiliang Tang, and Huan Liu. Scalable Learning of Users Preferences Using Networked Data. ACM Hypertext conference (HT), [C19] Xia Hu, Jiliang Tang, and Huan Liu. Leveraging Knowledge across Media for Spammer Detection in Microblogging, In Proceedings of the 37th Annual ACM SIGIR Conference (SIGIR), [C20] Xia Hu, Jiliang Tang, and Huan Liu. Online Social Spammer Detection. In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI), 2014.
5 [C21] Jiliang Tang, Xia Hu, Huiji Gao, and Huan Liu. Discriminant Analysis for Unsupervised Feature Selection. In Proceedings of the 14th SIAM International Conference on Data Mining (SDM), [C22] Huiji Gao, Jiliang Tang, Xia Hu and Huan Liu. Modeling Temporal Effects of Human Mobile Behavior on Location-Based Social Networks, ACM International Conference on Information and Knowledge Management (CIKM), [C23] Jiliang Tang, Huiji Gao, Xia Hu and Huan Liu. Context-Aware Review Helpfulness Rating Prediction, the ACM Conference Series on Recommender Systems (RecSys), [C24] Huiji Gao, Jiliang Tang, Xia Hu and Huan Liu. Exploring Temporal Effects for Location Recommendation on Location-Based Social Networks, the ACM Conference Series on Recommender Systems (RecSys), [C25] Huiji Gao, Xufei Wang, Jiliang Tang and Huan Liu. Network Denoising in Social Media, the 2013 IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM), [C26] Jiliang Tang, Xia Hu, Huiji Gao, and Huan Liu. Exploiting Local and Global Social Context for Recommendation, the 23rd International Joint Conference on Artificial Intelligence (IJCAI), [C27] Xia Hu, Jiliang Tang, Yanchao Zhang, and Huan Liu. Social Spammer Detection in Microblogging, the 23rd International Joint Conference on Artificial Intelligence (IJCAI), [C28] Xia Hu, Jiliang Tang, Huiji Gao, and Huan Liu. Unsupervised Sentiment Analysis with Emotional Signals, the 22nd International World Wide Web Conference (WWW), [C29] Jiliang Tang and Huan Liu. CoSelect: Feature Selection with Instance Selection for Social Media Data, the 13th SIAM International Conference on Data Mining (SDM), [C30] Jiliang Tang, Xia Hu, Huiji Gao, and Huan Liu. Unsupervised Feature Selection for Multiview Data in Social Media, the 13th SIAM International Conference on Data Mining (SDM 2013). [C31] Xia Hu, Jiliang Tang, Huiji Gao, and Huan Liu. ActNeT: Active Learning for Networked Texts in Microblogging,the 13th SIAM International Conference on Data Mining (SDM), [C32] Jiliang Tang, Huiji Gao, Xia Hu, and Huan Liu. Exploiting Homophily Effect for Trust Prediction, the 6th ACM International Conference on Web Search and Data Mining (WSDM), [C33] Xia Hu, Lei Tang, Jiliang Tang, and Huan Liu. Exploiting Social Relations for Sentiment Analysis in Microblogging, the 6th ACM International Conference on Web Search and Data Mining (WSDM), [C34] Huiji Gao,Jiliang Tang and Huan Liu. gscorr: Modeling Geo-Social Correlations for New Check-ins on Location-Based Social Networks, the 21st ACM Conference on Information and Knowledge Management (CIKM), [C35] Huiji Gao, Jiliang Tang and Huan Liu. Mobile Location Prediction in Spatio-Temporal Context, Nokia Mobile Data Challenge Workshop The 3rd Place Dedicated Task 2: Next Location Prediction [C36] Jiliang Tang and Huan Liu. Unsupervised Feature Selection for Linked Social Media Data, the Eighteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), [C37] Jiliang Tang, Huiji Gao, Huan Liu and Atish Das Sarma. etrust: Understanding Trust Evolution in an Online World, the Eighteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2012.
6 Chinese National Patents [C38] Jiliang Tang, Xufei Wang and Huan Liu. Social Media Data Integration for Community Detection, MSM-MUSE, [C39] Huiji Gao, Jiliang Tang, Huan Liu. Exploring Social-Historical Ties on Location-Based Social Networks, the Sixth International AAAI Conference on Weblogs and Social Media (ICWSM), [C40] Jiliang Tang and Huan Liu. Feature Selection with Linked Data in Social Media, SIAM International Conference on Data Mining (SDM), [C41] Jiliang Tang, Huiji Gao, and Huan Liu. mtrust: Discerning Multi-Faceted Trust in a Connected World, the 5th ACM International Conference on Web Search and Data Mining (WSDM), [C42] Jiliang Tang, Xufei Wang and Huan Liu. Integrating Social Media Data for Community Detection, MSM-MUSE, [C43] Xufei Wang, Jiliang Tang, and Huan Liu. Document Clustering via Matrix Representation, the 11th IEEE International Conference on Data Mining (ICDM), [C44] Jiliang Tang. Integrate Multiple Type of Social Media Data for Community Detection. In Doctoral Student Forum, SIAM International Conference on Data Mining (SDM), Jiliang Tang et al., A Database Transparent Encryption method based on Ciphertext-Indexed, Patent No: , Jiliang Tang et al., An Agent-based Database Security Enhancement Method, Patent No: , Invited Talks Mining Signed Social Networks, IBM T J Watson Center, New York, USA, Mining Signed Social Networks, Yahoo Labs, Sunnyvale, USA, Trust in Social Computing, Guilin University of Electronic Technology, Guilin, China, Some Challenges in Social Media Mining, Hunan University, Changsha, China, Some Challenges in Social Media Mining, Guilin University of Electronic Technology, Guilin, China, Some Challenges in Social Media Mining, Guangxi Normal University, Nanning, China, Some Challenges in Social Media Mining, Shenzhen University, Shenzhen, China, Trust Computing in Social Media, Yahoo Labs, Sunnyvale, USA, Mining Linked Data in Social Media, Huawei Inc, Shenzhen, China, Exploiting Social Ties: Opportunities in Mining Social Media Data, Tencent Inc, Shenzhen, China, Exploiting Social Ties: Opportunities in Mining Social Media Data, Baidu Inc, Beijing, China, Exploiting Social Ties: Opportunities in Mining Social Media Data, Guilin University of Electronic Technology, Guilin, China, 2012.
7 Matrix Factorization in Social Network Analysis, Beijing Institute of Technology, Beijing, China, Services Conference/Journal Organizer Post Chair of ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016 Program Committee Member AAAI Conference on Artificial Intelligence (AAAI), 2016 Conference on Empirical Methods on Natural Language Processing (EMNLP), 2015 CCF Conference on Natural Language Processing & Chinese Computing (NLPCC), 2015 ACM International Conference on Information and Knowledge Management (CIKM), 2015 ACM SIGIR conference on Research and development in information retrieval (SIGIR), 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2015 ICDM 2015 Workshop on Behavior Analysis, Modeling, and Steering (BEAMS), 2015 ICDM 2015 Workshop on Event Analytics using Social Media Data (EASM), 2015 IEEE International Conference on Data Mining (ICDM) Demo Track, 2014, 2015 IEEE/CIC ICCC symposium on Social Networks and Big Data (SNBD), 2014 The International AAAI Conference on Weblogs and Social Media (ICWSM), 2014 International Joint Conference on Artificial Intelligence (IJCAI), 2013 Journal Reviewer IEEE Transactions on Knowledge and Data Engineering (TKDE) ACM Transactions on Knowledge Discovery from Data (TKDD) ACM Transactions on Information Systems (TOIS) IEEE Transactions on Multimedia (TMM) IEEE Transactions on Neural Networks and Learning Systems (TNNLS) ACM Transactions on Intelligent Systems and Technology (TIST) ACM Transactions on the Web (TWEB) Data Mining and Knowledge Discovery (DMKD) IEEE Transactions on Big Data (TBD) Journal of Artificial Intelligence Research (JAIR) Journal of Machine Learning Research (JMLR) Knowledge and Information Systems (KAIS) Social Network Analysis and Mining (SNAM) Journal of Computer Science and Technology Pattern Recognition Letters Neurocomputing Conference Reviewer AAAI Conference on Weblogs and Social Media (ICWSM), 2013 International Conference on Web Search and Data Mining (WSDM), 2011, 2013 ACM International Conference on Information and Knowledge Management (CIKM), 2012 The World Wide Web Conference (WWW), 2012, 2013, 2014 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2011, 2012 SIAM Intl. Conf. on Data Mining (SDM), 2013 IEEE International Conference on Data Mining (ICDM), 2011, 2012 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery
8 in Databases (ECML/PKDD), 2011, 2014
Introduction. Chapter 1
This chapter is from Social Media Mining: An Introduction. By Reza Zafarani, Mohammad Ali Abbasi, and Huan Liu. Cambridge University Press, 2014. Draft version: April 20, 2014. Complete Draft and Slides
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