Yansheng Wang 王晏晟
I am currently a Ph.D. candidate at the Big Data Analysis Group, State Key Laboratory of Software Development Environment, Beihang University. My advisors are Prof. Yongxin Tong and Prof. Ke Xu. I received my MS degree (2020) and B.Eng. degree (2017) from Beihang University. My research interests include Federated Learning and Spatial Data Mining.
Publications
Yansheng Wang, Yongxin Tong, Zimu Zhou, Ziyao Ren, Yi Xu, Guobin Wu, Weifeng Lv. Fed-LTD: Towards Cross-Platform Ride Hailing via Federated Learning to Dispatch. In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2022, 4079-4089.
Ruisheng Zhang, Yansheng Wang, Zimu Zhou, Ziyao Ren, Yongxin Tong, Ke Xu. Data Source Selection in Federated Learning: A Submodular Optimization Approach. In Proceedings of the 27th International Conference on Database Systems for Advanced Applications (DASFAA). 2022, 606-614.
Yansheng Wang, Yongxin Tong, Dingyuan Shi, Ke Xu. An Efficient Approach for CrossSilo Federated Learning to Rank. In Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE). 2021, 1128-1139.
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, YanshengWang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye. Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). 2021, 3605- 3615.
Yansheng Wang, Yongxin Tong, Dingyuan Shi. Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework. In Proceedings of the 34th AAAI Conference on Artificial Intelligence (AAAI). 2020, 6283-6290.
Yi Xu, Shuyue Wei, Yansheng Wang. Privacy Preserving Online Matching on Ridesharing Platforms. Neurocomputing. 2020, 406: 371-377.
Yongxin Tong, Yansheng Wang, Dingyuan Shi. Federated Learning in the Lens of Crowdsourcing. IEEE Data Engineering Bulletin. 2020, 43(3): 26-36.
Yansheng Wang, Yongxin Tong, Cheng Long, Pan Xu, Ke Xu, Weifeng Lv. Adaptive Dynamic Bipartite Graph Matching: A Reinforcement Learning Approach. In Proceedings of the 35th IEEE International Conference on Data Engineering (ICDE). 2019, 1478-1489.
Yansheng Wang, Tianshu Song, Qian Tao, Yuxiang Zeng, Zimu Zhou, Yi Xu, Yongxin Tong, Lei Chen. Interaction Management in Crowdsourcing. IEEE Data Engineering Bulletin. 2019, 42(4): 23-34.
(In Chinese)
杨强, 童咏昕, 王晏晟, 范力欣, 王薇, 陈雷, 王魏, 康焱. 群体智能中的联邦学习算法综述. 《智能科学与技术学报》2022, 4(1): 29-44.
史鼎元, 王晏晟, 郑鹏飞, 童咏昕. 面向企业数据孤岛的联邦排序学习. 《软件学报》2021, 32(3): 669-688.
童咏昕, 王晏晟, 吕卫锋, 秦志伟, 吴国斌. 共享出行中的群体智能——KDD CUP 2020 订单分配竞赛经验. 《中国计算机学会通讯》2021, 17(6): 49-53.
童咏昕, 王晏晟, 吕江花, 许可, 叶杰平. 面向共享出行的群体智能技术与应用. 《中国人工智能学会通讯》2020, 10(7): 21-26.
杨强, 童咏昕, 王晏晟. 鱼与熊掌可以兼得——“联邦迁移学习”直面小数据与隐私关切挑战. 《前沿科学》2019, 13(2): 61-66.
Awards
World Champion of KDD Cup 2020 RL Track (1/1007).
National Scholarship 2021.
President's Scholarship of Beihang Universiy 2021.
Services
Journal Reviewer
IEEE Transactions on Knowledge and Data Engineering (TKDE)
IEEE Transactions on Big Data (TBD)
ACM Transactions on Intelligent Systems and Technology (TIST)