Time: 10:00-11:00, 12 January 2026
Speaker: Yexin Li is a researcher at the Beijing Institute for General Artificial Intelligence and a supervisor in the "Tong Program" joint doctoral training program of Shanghai Jiao Tong University and ShanghaiTech University. He received his PhD from the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology in 2021. His main research areas include multi-agent systems, reinforcement learning, large language models, and data mining. His work has appeared in leading international conferences and journals such as the International Conference on Machine Learning and IEEE Transactions on Knowledge and Data Engineering, and he received an ACM SIGSPATIAL 10-Year Impact Award nomination.
Abstract:
This seminar centers on the core question of how to operate logistics systems intelligently. It explores applications of spatiotemporal intelligence technologies in key logistics processes, including address standardization, delivery time and address correction, and delivery dispatch optimization. By integrating artificial intelligence with spatiotemporal data mining technologies, the talk discusses how to make logistics systems more precise and efficient. It will also share challenges and reflections from real-world implementation through practical cases and look ahead to future trends in intelligent logistics.
