Currently, I am a senior researcher at WeBank. I received my PhD degree in the Department of Computer Science and Engineering, HKUST, supervised by Prof. Qiang Yang. Before that, I received my master degree in the School of Computer Science, Fudan University, under the supervision of Prof.Junping Zhang, and I obtained my bachelor degree in the Department of Computer Science and Technology, Tongji University.

Current Research Interests:

• Federated Recommender Systems, computational advertising, game AI, transfer learning, data mining and machine learning in general

Publications : (Google Scholar)

• Dashan Gao, Ben Tan, Ce Ju, Vincent W. Zheng, Qiang Yang, Federated Factorization Machine for Secure Recommendation with Sparse Data. 35th AAAI Conference on Artificial Intelligence (AAAI’21), workshop on Towards Robust, Secure and Efficient Machine Learning, Online, February 2-9, 2021

• Ben Tan, Bo Liu, Vincent W. Zheng, Qiang Yang, A Federated Recommender System for Online Services. In Fourteenth ACM Conference on Recommender Systems (RecSys ’20), Virtual Event, Brazil, September 21–26, 2020

• Yang Liu, Ben Tan, Vincent W. Zheng, Kai Chen, Qiang Yang, Federated Recommendation Systems. In Federated Learning (pp. 225-239). Springer, Cham, 2020

• Dashan Gao, Ben Tan, Ce Ju, Vincent W Zheng, Qiang Yang, Privacy Threats Against Federated Matrix Factorization, International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20), Kyoto, Japan

• Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Yuan Jin, Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention, International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with IJCAI 2020 (FL-IJCAI'20), Kyoto, Japan

• Ce Ju, Dashan Gao, Ravikiran Mane, Ben Tan, Yang Liu, Cuntai Guan, Federated Transfer Learning for EEG Signal Classification, 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Montréal, Canada, July 20-24, 2020

• Dongfang Li, Qingcai Chen, Songjian Chen, Xin Liu, Buzhou Tang, Ben Tan, Multi-strategies Method for Cold-Start Stage Question Matching of rQA Task, CCF International Conference on Natural Language Processing and Chinese Computing, 2019

• Ben Tan, Yu Zhang, Sinno Jialin Pan, and Qiang Yang, Distant Domain Transfer Learning, 31st AAAI Conference on Artificial Intelligence (AAAI’17). San Francisco, CA, USA. February 4-9, 2017.

• Weike Pan, Qiang Yang, Yuchao Duan, Ben Tan and Zhong Ming. Transfer Learning for Behavior Ranking. ACM Transactions on Intelligent Systems and Technology (2157-6904), Accepted.

• Ben Tan, Yangqiu Song, ErHeng Zhong, Qiang Yang. Transitive Transfer Learning. In Proceedings of The 21th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'15), Sydney, Australia, 2015

• Bin Wu, Erheng Zhong, Ben Tan, Andrew Horner, Qiang Yang. Crowdsourced Time-sync Video Tagging using Temporal and Personalized Topic Modeling. In Proceedings of The 20th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'14), New York City, 2014

• Ben Tan, Erheng Zhong, Michael K. Ng, Qiang Yang. Mixed-Transfer: Transfer Learning over Mixed Graphs. In Proceedings of the 14rd SIAM International Conference on Data Mining (SDM'14), Philadelphia PA, 2014

• Erheng Zhong, Lianghao Li, Naiyan Wang, Ben Tan, Yin Zhu, Lili Zhao, Qiang Yang. Contextual rule-based feature engineering for author-paper identification. KDD Cup'13 Workshop, in conjunction with KDD'13, August, 2013, Chicago, IL, USA.

• Erheng Zhong, Ben Tan, Kaixiang Mo, Qiang Yang. User demographics prediction based on mobile data. Pervasive and Mobile Computing Journal. (Accepted)

• Ben Tan, Erheng Zhong, Evan Wei Xiang, Qiang Yang. Multi-Transfer: Transfer Learning with Multiple Views and Multiple Sources. In Proceedings of the 13rd SIAM International Conference on Data Mining (SDM'13), Austin TX, 2013. (Nominee of Best Paper Award)

• Kaixiang Mo, Ben Tan, Erheng Zhong and Qiang Yang. Your Phone Understands You. Nokia Mobile Data Challenge Workshop, In conjunction with Pervasive'12, June, 2012, Newcastle.

• Ben Tan, Junping Zhang, Liang Wang, "Semi-Supervised Elastic Net for Pedestrian Counting," Pattern Recognition, vol. 44, issues 10-11, pp. 2297-2304, 2011. [Benchmark Dataset of Pedestrian Counting]

• Junping Zhang, Ben Tan, Fei Sha, Li He, "Predicting Pedestrian Counts in Crowded Scenes with Rich and High-dimensional Features," IEEE Transactions on Intelligent Transportation Systems, vol. 12, no. 4, pp. 1037-1046, 2011.

• Kun Wang, Ben Tan, Juwei Shi, Bo Yang, “Automatic task slots assignment in Hadoop mapreduce,” Proceedings of the 1st Workshop on Architectures and Systems for Big Data, 2011.

PhD Thesis :

• Ben Tan. Distant Domain Transfer Learning. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, March, 2017.