My research focus is on developing algorithms and systems for human-in-the-loop data analytics. Specifically, my current research topics are:
• Crowdsourcing: harnessing human intelligence for big data analytics
• Interactive Data Exploration: enabling smart data exploration through human-machine interaction

[1] Dongxiang Zhang, Yuchen Li, Ju Fan, Lianli Gao, Fumin Shen, Heng Tao Shen: Processing Long Queries Against Short Text: Top-k Advertisement Matching in News Stream Applications. ACM Transactions on Information Systems (TOIS), to appear.
[2] Yuchen Li, Ju Fan, Dongxiang Zhang, Kian-Lee Tan: Discovering Your Selling Points: Personalized Social Influential Tag Exploration. ACM SIGMOD, 2017, to appear.
[3] Ju Fan, Zhewei Wei, Dongxiang Zhang, Jingru Yang, and Xiaoyong Du: Distribution-Aware Crowdsourced Entity Collection. IEEE Transaction on Knowledge and Data Engineering (TKDE), to appear.
[4] Ju Fan, Meihui Zhang, Stanley Kok, Meiyu Lu, and Beng Chin Ooi: CrowdOp: Query Optimization for Declarative Crowdsourcing Systems (Extended Abstract). 32nd IEEE International Conference on Data Engineering (ICDE), 2016.
[5] Ju Fan, Meihui Zhang, Stanley Kok, Meiyu Lu, and Beng Chin Ooi: CrowdOp: Query Optimization for Declarative Crowdsourcing Systems. IEEE Transaction on Knowledge and Data Engineering (TKDE), 2015.
[6] Ju Fan, Guoliang Li, Beng Chin Ooi, Kian-Lee Tan, Jianhua Feng: iCrowd: An Adaptive Crowdsourcing Framework. ACM SIGMOD, 2015: 1015-1030.
[7] Shuo Chen, Ju Fan, Guoliang Li, Jianhua Feng: Online Topic-Aware Influence Maximization. 41st International Conference on Very Large Data Bases (VLDB), 2015: 666-677.
[8] Kuang Mao, Lidan Shou, Ju Fan, Gang Chen, Mohan S. Kankanhalli: Competence-Based Song Recommendation: Matching Songs to One\\\'s Singing Skill. IEEE Transactions on Multimedia (TMM) 17(3), 2015: 396-408.
[9] Ju Fan, Meiyu Lu, Beng Chin Ooi, Wang-Chiew Tan, Meihui Zhang: A Hybrid Machine-Crowdsourcing System for Matching Web Tables. 30th IEEE International Conference on Data Engineering (ICDE), 2014: 976-987.
[10] Kuang Mao, Ju Fan, Lidan Shou, Gang Chen and Mohan Kankanhalli: Song Recommendation for Social Singing Community. ACM Multimedia 2014: 127-136.
[11] Zheng Jye Ling, Quoc Trung Tran, Ju Fan, Gerald C.H. Koh, Thi Nguyen, Chuen Seng Tan, James W. L. Yip, Meihui Zhang: GEMINI: An Integrative Healthcare Analytics System. 40th International Conference on Very Large Data Bases (VLDB), 2014: 1766-1771.
[12] Jun Han, Ju Fan, Lizhu Zhou: Crowdsourcing-Assisted Query Structure Interpretation. 23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013: 2092- 2098.
[13] Yang Cao, Ju Fan, Guoliang Li: A User-Friendly Patent Search Paradigm. IEEE Transaction on Knowledge and Data Engineering (TKDE) 25(6), 2013: 1439-1443.
[14] Guoliang Li, Nan Zhang, Ruicheng Zhong, Sitong Liu, Weihuang Huang, Ju Fan, Kian-Lee Tan, Lizhu Zhou, Jianhua Feng: TsingNUS: a location-based service system towards live city. SIGMOD 2013:957-960 (Demo).
[15] Ju Fan, Guoliang Li, Lizhu Zhou, Shanshan Chen, Jun Hu: SEAL: Spatio-Textual Similarity Search. 38th International Conference on Very Large Data Bases (VLDB), 5(9), 2012: 824-835.
[16] Ruicheng Zhong, Ju Fan, Guoliang Li, Kian-Lee Tan, Lizhu Zhou: Location-aware Instant Search. 21st ACM International Conference on Information and Knowledge Management (CIKM), 2012:385-394.
[17] Ju Fan, Guoliang Li, and Lizhu Zhou: Interactive SQL Query Suggestion: Making Databases User-Friendly. 27th IEEE International Conference on Data Engineering (ICDE), 2011: 351-362.
[18] Guoliang Li, Ju Fan, Hao Wu, Jiannan Wang, and Jianhua Feng: DBease: Making Databases User-Friendly and Easily Accessible. 5th Biennial Conference on Innovative Data Systems Research (CIDR), 2011: 45-56.
[19] Ju Fan, Guoliang Li, and Lizhu Zhou: An Effective Approach for Searching Closest Sentence Translations from The Web. Database Systems for Advanced Applications (DASFAA), 2011: 47-57.
[20] Qingyan Yang, Ju Fan, Jianyong Wang, Lizhu Zhou: Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model. 10th International Conference on Data Mining (ICDM), 2010:1145-1150.
Ling Lin, Yukai He, Hang Guo, Ju Fan, Lizhu Zhou, Qi Guo, and Gang Li. SESQ: A Model-Driven Method for Building Object Level Vertical Search Engines. International Conference on Conceptual Modelling (ER), 2008: 516-517.

Renmin University of China Associate Professor Dec. 2015 - present
National University of Singapore
Research Fellow
(working with Prof. Kian-Lee Tan and Prof. Beng Chin Ooi)
Jul. 2012 – Dec. 2015
State University of New York Visiting Ph.D. student (Supervisor: Prof. Weiyi Meng) Sep. 2010 – Mar. 2011

2014 Best student paper award, National Database Conference of China
2012 Excellent Ph.D. Graduate of Department of CS&T, Tsinghua University
2012 Best student paper award, National Database Conference of China
2011 “Schlumberger” Scholarship of Tsinghua University (First class)
2011 EII Fellowship of Arc Research Network in Enterprise Information Infrastructure, Australia
2010 Best paper award, National Database Conference of China
2010 “Mei Yiqi” Scholarship of Tsinghua University (Second class)
2010 State Scholarship for Studying Abroad (China Scholarship Council)
2009 Best paper Award of Doctoral Forum, Tsinghua University
2007 \\\\\\\"Excellent Graduate\\\\\\\" Award of Beijing