Dingyuan SHI (史鼎元)

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Ph.D student
Big Data Analysis Group
School of Computer Science and Enigneering
Beihang University (BUAA)
GitHub, LinkedIn, ResearchGate

Short Biography

Dingyuan Shi is currently a Ph.D student in the School of Computer Science and Engineering (SECE) at Beihang University (BUAA), under the supervision of Prof. Ke Xu and Prof. Yongxin Tong. He formerly received a B.Eng. degree in computer science and technology at Beihang University in 2020.

Research Interests

Publications

  1. [ICDE’23] Dingyuan Shi, Nan Zhou, Yongxin Tong, Zimu Zhou, Yi Xu, Ke Xu. "Collision-Aware Route Planning in Warehouses Made Efficient: A Strip-based Framework", to appear in ICDE 2023. (CCF-A) [paper][slides]

  2. [ICDE’22] Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Wenzhe Tan, Hongbo Li. "Adaptive Task Planning for Large-Scale Robotized Warehouses", in Proceedings of the 38th International Conference on Data Engineering, Pages 3327-3339, Kuala Lumpur, Malaysia, May 09-12, 2022. (CCF-A) [paper][slides][news]

  3. [TKDE’21] Yongxin Tong, Dingyuan Shi, Yi Xu, Weifeng Lv, Zhiwei (Tony) Qin, Xiaocheng Tang. "Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale", to appear in TKDE. (CCF-A) [paper][code]

  4. [SIGKDD’21] Dingyuan Shi, Yongxin Tong, Zimu Zhou, Bingchen Song, Weifeng Lv, Qiang Yang. "Learning to Assign: Towards Fair Task Assignment in Large-Scale Ride Hailing", in Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Singapore, Singapore, August 14-18, 2021. (CCF-A) [paper][slides][code]

  5. [JOS’21] Dingyuan Shi, Yansheng Wang, Pengfei Zheng, Yonxin Tong, "Cross-silo Federated Learning-to-Rank", Journal of Software, 2021,32(3):669-688 (in Chinese with English abstract). (CCF-A) [paper (CN)][slides (CN)]

  6. [JOS’22] Shuyuan Li, Yudian Ji, Dingyuan Shi, Wangdong Liao, Lipeng Zhang, Yongxin Tong, Ke Xu. "Data Federation System for Multi-party Security", Journal of Software, 2022,33(3):1111-1127 (in both Chinese and English). (CCF-A) [paper (CN)][paper (EN)]

  7. [ICDE’21] Yansheng Wang, Yongxin Tong, Dingyuan Shi, Ke Xu. "An Efficient Approach for Cross-Silo Federated Learning to Rank", in Proceedings of the 37th International Conference on Data Engineering, Pages 648-659, Chania, Crete, Greece, April 19-22, 2021. (CCF-A) [paper]

  8. [SIGKDD’21] Xiaocheng Tang, Fan Zhang, Zhiwei Qin, Yansheng Wang, 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, Singapore, Singapore, August 14-18, 2021. (CCF-A) [paper]

  9. [DEB’20] Yongxin Tong, Yansheng Wang, Dingyuan Shi. "Federated Learning in the Lens of Crowdsourcing", IEEE Data Engineering Bulletin, 43(3): 26-36, 2020. [paper]

  10. [AAAI’20] 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, Pages 6283-6290, New York, USA, January 7-12, 2020. (CCF-A) [paper][poster][code]

Honors

Intern Experience

  1. Algorithm intern (2021.7-2022.9), Geekplus Technology

  2. Research intern (2022.12-), Alibaba DAMO Academy

Academic Services

Miscellaneous