Li, Yexin

About

Yexin Li got her Ph.D degree in Computer Science and Engineering from the Hong Kong University of Science and Technology in 2021. She was an intern in Urban Computing group, MSR Asia. She is currently a researcher at JD Urban Computing Business Unit. Her research interests include deep reinforcement learning, spatio-temporal data mining, and urban computing.

Employment

• Beijing Institute for General Artificial Intelligence (BIGAI) Researcher
  2023 - Present

Education

• Hong Kong University of Science and Technology

Projects & Funding

Projects & funding information is unavailable.

Publications (6)

• Cooperative Multi-Agent Reinforcement Learning in Express System
  Proceedings of the 29th ACM International Conference on Information & Knowledge Management 2020 DOI: 10.1145/3340531.3411871
  +Save
• AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction
  Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2020 DOI: 10.1145/3394486.3403122
  +Save
• Citywide Bike Usage Prediction in a Bike-Sharing System
  IEEE Transactions on Knowledge and Data Engineering 2020 DOI: 10.1109/tkde.2019.2898831
  +Save
• Efficient and Effective Express via Contextual Cooperative Reinforcement Learning
  Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2019 DOI: 10.1145/3292500.3330968
  +Save
• Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning Approach
  Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2018 DOI: 10.1145/3219819.3220110
  +Save
• Traffic Prediction in a Bike-Sharing System
  Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems 2015 DOI: 10.1145/2820783.2820837
  +Save