Ju Fan
  Associate Professor    
 
   DBIIR Research Group Email: fanj at ruc dot edu dot cn
   School of Information / DEKE Lab Phone: +86-10-62514562
   Renmin University of China Office: Room 443, Information Building
   Postdoc in the DBSystem Lab at NUS (2015) Renmin University of China,
   Ph.D. in the Database Group at THU (2012) No. 59 Zhongguancun St., Beijing 100872
   Research Area: Database Systems, Big Data Analytics

Open Positions: If you are a highly motivated student and interested in working with me on big data anlaytics and crowdsourcing, please email me your resume and a short statement of your research interests, with the following subject: [PhD/Master/Visiting Application] Name+Major+School.



Research Interests News Publications Profressional Activities Teaching CV

Research Interests 
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
News 
6 Jun, 2017 I serve as one of the Publicity Chairs for ADMA'17 to be held in Singapore. Please visit the conference website for more details.
14 May, 2017 We gave a tutorial, entitled "Crowdsourced Data Management: Overview and Challenges", at SIGMOD 2017! Please find the slides here.
29 Jan, 2017 Our tutorial proposal, entitled "Crowdsourced Data Management: Overview and Challenges" (by Guoliang Li, Yudian Zheng, Ju Fan, Jiannan Wang and Reynold Cheng), has been accepted by SIGMOD 2017!
07 Jan, 2017 I gave a talk, entitled Influence Maximization on Big Social Graphs, at the Data Science Winter School organized by Tsinghua, Renmin Universities and the Ecole Polytechnique (France).
14 Dec, 2016 Our paper entitled "Processing Long Queries Against Short Text: Top-k Advertisement Matching in News Stream Applications" got accepted by TOIS! If you are interested in social advertising, you may find an efficient solution in the paper.
12 Nov, 2016 Our paper entitled "Discovering Your Selling Points: Personalized Social Influential Tag Exploration" got accepted by SIGMOD 2017! If you want to explore in which topics you are influential over a social network, you will find a real-time solution in the paper.
12 Nov, 2016 Our paper entitled "Distribution-Aware Crowdsourced Entity Collection" got accepted by TKDE! If you have a requirement of collecting entities using crowdsourcing, you may check our paper for a "distribution-aware" solution.

Selected Publications [DBLP] [Google Scholar]  
2017
  • Guoliang Li, Chengliang Chai, Ju Fan, et. al:
    CDB: Optimizing Queries with Crowd-Based Selections and Joins.
    ACM SIGMOD, 2017, to appear. [paper]
  • Guoliang Li, Yudian Zheng, Ju Fan, Jiannan Wang, Reynold Cheng:
    Crowdsourced Data Management: Overview and Challenges (tutorial).
    ACM SIGMOD, 2017. [paper] [slides]
  • 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. [paper]
  • Yuchen Li, Ju Fan, Dongxiang Zhang, Kian-Lee Tan:
    Discovering Your Selling Points: Personalized Social Influential Tag Exploration.
    ACM SIGMOD, 2017, to appear. [paper]
  • 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. [paper]
2016
  • 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. [paper]
  • Xiaojie Lin, Ye Gu, Rui Zhang, Ju Fan:
    Linking News and Tweets.
  • ADC 2016: 467-470. [paper]
2015
  • 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. [paper]
  • Ju Fan, Guoliang Li, Beng Chin Ooi, Kian-Lee Tan, Jianhua Feng:
    iCrowd: An Adaptive Crowdsourcing Framework.
    ACM SIGMOD, 2015: 1015-1030. [paper] [slides]
  • 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. [paper] [slides]
  • 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. [paper]
2014
  • 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. [paper] [slides]
  • Kuang Mao, Ju Fan, Lidan Shou, Gang Chen and Mohan Kankanhalli:
    Song Recommendation for Social Singing Community.
    ACM Multimedia 2014: 127-136. [paper]
  • 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. [paper]
2013
  • Jun Han, Ju Fan, Lizhu Zhou:
    Crowdsourcing-Assisted Query Structure Interpretation.
    23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013: 2092- 2098. [paper]
  • 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. [paper]
  • 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.
    ACM SIGMOD 2013:957-960 (Demo). [paper]
2012
  • 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. [paper]
  • 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. [paper]
2011
  • 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. [paper]
  • 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. [paper]
  • 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. [paper]
Talks 
  • Influence Maximization on Big Social Graphs, Tsinghua University, Jan 7 2017. [slides]
Professional Activities 
  • Committee member of SIGMOD China Chapter.
  • Reviewer of IEEE Transaction on Knowledge and Data Engineering (TKDE, Tier-A journal), VLDB Journal, World Wide Web Journal, and Journal of Big Data Research.
  • Program committee member in the 2015 ACM Multimedia Conference (ACM MM 2015) and 15th/16th international conference on Web-Age Information Management (WAIM 2014/2015).
Teaching