📝 Publications

2025

  • Zheng Zhang, Shaocheng Lan, Lei Song, Jiang Bian, Yexin Li, Kan Ren. Learning to Select In-Context Demonstration Preferred by Large Language Model. Annual Meeting of the Association for Computational Linguistics. ACL Findings 2025   
  • Yipeng Kang, Junqi Wang, Yexin Li, Mengmeng Wang, Wenming Tu, Quansen Wang, Hengli Li, Tingjun Wu, Xue Feng, Fangwei Zhong, Zilong Zheng. Are the Values of LLMs Structurally Aligned with Humans? A Causal Perspective. Annual Meeting of the Association for Computational Linguistics. ACL Findings 2025   

2024

  • Yexin Li, Zhancun Mu, Siyuan Qi. A Contextual Combinatorial Bandit Approach to Negotiation. International Conference on Machine Learning. ICML 2024   
  • Siyuan Qi, Shuo Chen, Yexin Li, Xiangyu Kong, Junqi Wang, Bangcheng Yang, Pring Wong, Yifan Zhong, Xiaoyuan Zhang, Zhaowei Zhang, Nian Liu, Wei Wang, Yaodong Yang, Song-Chun Zhu. CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents. International Conference on Learning Representations. ICLR 2024   

2023 and Before

  • Siyuan Feng, Shuqing Wei, Junbo Zhang, Yexin Li, Jintao Ke, Gaode Chen, Yu Zheng, Hai Yang. A Macro–Micro Spatio-temporal Neural Network for Traffic Prediction. Transportation Research Part C: Emerging Technologies. TR Part C 2023   
  • Tianfu He, Jie Bao, Yexin Li, Hui He, Yu Zheng. Crowd-Sensing Enhanced Parking Patrol Using Sharing Bikes’ Trajectories. IEEE Transactions on Knowledge and Data Engineering. TKDE 2021   
  • Yexin Li, Yu Zheng, Qiang Yang. Cooperative Multi-Agent Reinforcement Learning in Express System. ACM International Conference on Information and Knowledge Management. CIKM 2020   
  • Ting Li, Junbo Zhang, Kainan Bao, Yuxuan Liang, Yexin Li, Yu Zheng. AutoST: Efficient Neural Architecture Search for Spatio-temporal Prediction. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. SIGKDD 2020   
  • Yexin Li, Y. Zheng, Q. Yang. Efficient and Effective Express via Contextual Cooperative Reinforcement Learning. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. SIGKDD 2019   
  • Yexin Li, Y. Zheng. Citywide Bike Usage Prediction in a Bike-Sharing System. IEEE Transactions on Knowledge and Data Engineering. TKDE 2019   
  • Yexin Li, Y. Zheng, Q. Yang. Dynamic Bike Reposition: A Spatio-Temporal Reinforcement Learning Approach. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. SIGKDD 2018   
  • Yexin Li, Y. Zheng, Huichu Zhang, Lei. Chen. Traffic Prediction in a Bike-Sharing System. ACM International Conference on Advances in Geographical Information Systems. SIGSPATIAL 2015