Influence maximization on social graphs: A survey Y Li, J Fan, Y Wang, KL Tan IEEE Transactions on Knowledge and Data Engineering 30 (10), 1852-1872, 2018 | 647 | 2018 |
Online topic-aware influence maximization S Chen, J Fan, G Li, J Feng, K Tan, J Tang Proceedings of the VLDB Endowment 8 (6), 666-677, 2015 | 303 | 2015 |
icrowd: An adaptive crowdsourcing framework J Fan, G Li, BC Ooi, K Tan, J Feng Proceedings of the 2015 ACM SIGMOD international conference on management of …, 2015 | 236 | 2015 |
A hybrid machine-crowdsourcing system for matching web tables J Fan, M Lu, BC Ooi, WC Tan, M Zhang 2014 IEEE 30th international conference on data engineering, 976-987, 2014 | 150 | 2014 |
Online health information seeking using “# COVID-19 patient seeking help” on Weibo in Wuhan, China: descriptive study X Zhao, J Fan, I Basnyat, B Hu Journal of Medical Internet Research 22 (10), e22910, 2020 | 127 | 2020 |
Crowdsourced data management: Overview and challenges G Li, Y Zheng, J Fan, J Wang, R Cheng Proceedings of the 2017 ACM international conference on Management of Data …, 2017 | 120 | 2017 |
Interactive SQL query suggestion: Making databases user-friendly J Fan, G Li, L Zhou 2011 IEEE 27th International Conference on Data Engineering, 351-362, 2011 | 91 | 2011 |
Seal: Spatio-textual similarity search J Fan, G Li, L Zhou, S Chen, J Hu arXiv preprint arXiv:1205.6694, 2012 | 90 | 2012 |
RPT: relational pre-trained transformer is almost all you need towards democratizing data preparation N Tang, J Fan, F Li, J Tu, X Du, G Li, S Madden, M Ouzzani arXiv preprint arXiv:2012.02469, 2020 | 82 | 2020 |
CDB: optimizing queries with crowd-based selections and joins G Li, C Chai, J Fan, X Weng, J Li, Y Zheng, Y Li, X Yu, X Zhang, H Yuan Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 79 | 2017 |
Trajectory simplification: an experimental study and quality analysis D Zhang, M Ding, D Yang, Y Liu, J Fan, HT Shen Proceedings of the VLDB Endowment 11 (9), 934-946, 2018 | 78 | 2018 |
Relational data synthesis using generative adversarial networks: A design space exploration J Fan, T Liu, G Li, J Chen, Y Shen, X Du arXiv preprint arXiv:2008.12763, 2020 | 72 | 2020 |
Crowdop: Query optimization for declarative crowdsourcing systems J Fan, M Zhang, S Kok, M Lu, BC Ooi IEEE transactions on Knowledge and Data Engineering 27 (8), 2078-2092, 2015 | 68 | 2015 |
Discovering your selling points: Personalized social influential tags exploration Y Li, J Fan, D Zhang, KL Tan Proceedings of the 2017 ACM International Conference on Management of Data …, 2017 | 63 | 2017 |
Cost-effective data annotation using game-based crowdsourcing J Yang, J Fan, Z Wei, G Li, T Liu, X Du Proceedings of the VLDB Endowment 12 (1), 57-70, 2018 | 50 | 2018 |
Biane: Bipartite attributed network embedding W Huang, Y Li, Y Fang, J Fan, H Yang Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020 | 47 | 2020 |
Domain adaptation for deep entity resolution J Tu, J Fan, N Tang, P Wang, C Chai, G Li, R Fan, X Du Proceedings of the 2022 International Conference on Management of Data, 443-457, 2022 | 46 | 2022 |
Personalizing web page recommendation via collaborative filtering and topic-aware markov model Q Yang, J Fan, J Wang, L Zhou 2010 IEEE International Conference on Data Mining, 1145-1150, 2010 | 46 | 2010 |
Crowdsourcing database systems: Overview and challenges C Chai, J Fan, G Li, J Wang, Y Zheng 2019 IEEE 35th International Conference on Data Engineering (ICDE), 2052-2055, 2019 | 43 | 2019 |
Location-aware instant search R Zhong, J Fan, G Li, KL Tan, L Zhou Proceedings of the 21st ACM international conference on Information and …, 2012 | 42 | 2012 |