Yexuan SHI(史烨轩)

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Ph.D. Candidate,
Big Data Analysis Group,
State Key Laboratory of Software Development Environment,
School of Computer Science and Enigneering,
Beihang University (BUAA)
Haidian, Beijing, China

I am a Ph. D. student of Computer Software and Theory at the Big Data Analysis Group, State Key Laboratory of Software Development Environment, Beihang University, under Prof. Yongxin Tong and Prof. Ke Xu‘s supervision. Previously, I obtained a B.Eng. with a major in Computer Science and Technology, from Beihang University.

My research interests broadly span the intersection of Algorithms, Big Data, Security/Privacy and Mechanism Design. I am interested in both foundations and applications of problems that broadly fall in these domains. I am especially interested in research that balances effectiveness and efficiency.

  1. [TKDE 2021] Yi Xu, Yongxin Tong, Yexuan Shi, Qian Tao, Ke Xu, Wei Li. "An Efficient Insertion Operator in Dynamic Ridesharing Services", to appear in IEEE Transactions on Knowledge and Data Engineering, 2021. PDF [Invited as one of the Best Paper Nominations in ICDE 2019]
  2. [TKDE 2021] Yexuan Shi,Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Bolin Ding, Lei Chen. "Efficient Approximate Range Aggregation over Large-scale Spatial Data Federation", to appear in IEEE Transactions on Knowledge and Data Engineering.
  3. [IS 2021] Yexuan Shi, Yongxin Tong, Zhiyang Su, Di jiang, Zimu Zhou, Wenbin Zhang. "Federated Topic Discovery: A Semantic Consistent Approach", to appear in IEEE Intelligent Systems, 2021. PDF
  4. [ICDE 2020] Qian Tao, Yongxin Tong, Zimu Zhou, Yexuan Shi, Lei Chen, Ke Xu. "Differentially Private Online Task Assignment in Spatial Crowdsourcing: A Tree-based Approach", in Proceedings of the 36th International Conference on Data Engineering, Pages 517-528, Dallas, Texas, USA, April 20-24, 2020. PDF
  5. [ICDE 2019] Yi Xu, Yongxin Tong, Yexuan Shi, Qian Tao, Ke Xu, Wei Li. "An Efficient Insertion Operator in Dynamic Ridesharing Services", in Proceedings of the 35th International Conference on Data Engineering, Pages 1022-1033, Macau, China, April 8-12, 2019. PDF
  6. [AAAI 2019] Boming Zhao, Pan Xu, Yexuan Shi, Yongxin Tong, Zimu Zhou, Yuxiang Zeng. "Preference-Aware Task Assignment in On-demand Taxi Dispatching: An Online Stable Matching Approach", in Proceedings of the 33rd AAAI Conference on Artificial Intelligence, Pages 2245-2252, Honolulu, Hawaii, USA, January 27-February 1, 2019. PDF Code&Data
  7. [AAAI 2019] Pan Xu, Yexuan Shi, Hao Cheng, John Dickerson, Karthik Abinav Sankararaman, Aravind Srinivasan, Yongxin Tong, Leonidas Tsepenekas. "A Unified Approach to Online Matching with Conflict-Aware Constraints", in Proceedings of the 33rd AAAI Conference on Artificial Intelligence, Pages 2221-2228, Honolulu, Hawaii, USA, January 27-February 1, 2019. PDF

  1. Beihang Ph.D. Scholarship for Outstanding Freshmen

  2. Gold Medal of ACM-ICPC Asian Regional Competition

  3. Silver Medal of ACM-ICPC EC-Final

  1. Research Intern, Intelligent Computing Laboratory of Alibaba Dharma Academy