Yuqi Bian @ LAMDA, NJU-AI

卞煜齐 Yuqi Bian M.Sc. Student, LAMDA Group School of Artificial Intelligence National Key Laboratory for Novel Software Technology Nanjing University, Nanjing 210023, China Supervisor: Prof. Yang Yu Email: bianyq [AT] lamda [DOT] nju [DOT] edu [DOT] cn Laboratory: Shaoyifu Building, Nanjing University Xianlin Campus

Biography

Currently I am a M.Sc. student of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group, led by professor Zhi-Hua Zhou.

I received my B.Eng. degree in Artificial Intelligence from School of Artificial Intelligence, Nanjing University in June 2024. In September 2024, I was admitted to pursue a M.Sc. degree in Nanjing University, under the supervision of Professor Yang Yu without entrance examination.

Research Interests

My research interest includes Reinforcement Learning and Multi Agent Reinforcement Learning.

Publications

Conference Papers:

• Lihe Li, Shenghe Hu, Bingxuan Lan, Yuqi Bian, Huan Zhang, Ming Zhao, Chongjie Zhang, Lei Yuan, Yang Yu. Boosting Offline MARL under Imbalanced Datasets via Compositional Diffusion Models. The 25th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2026). 2026.

• Ziqian Zhang, Bohan Yang, Lihe Li, Yuqi Bian, Ruiqi Xue, Feng Chen, Yi-Chen Li, Lei Yuan, Yang Yu. Learning to Reuse Policies in State Evolvable Environments. The 42rd International Conference on Machine Learning (ICML-25). 2025.

• Lei Yuan, Yuqi Bian, Lihe Li, Ziqian Zhang, Cong Guan, Yang Yu. Efficient Multi-agent Offline Coordination via Diffusion-based Trajectory Stitching. International Conference on Learning Representations (ICLR 2025). 2025.

Awards & Honors

• BOSCH AIoT Scholarship (CNY 10,000), 2025.

• "Challenge Cup" National College Student Curricular Academic Science and Technology Works Competition — "Revealing the List" Special Competition, 19th Session (China). Award: Grand Prize, 2024.

• Outstanding Graduate of Nanjing University, 2024.

• People's Scholarship of Nanjing University, 2021 & 2022 & 2023.

Teaching Assistant

• Advanced Reinforcement Learning (with Instructor: Dr. Lei Yuan; For Graduate Students, Spring 2025)

Correspondence

Email: bianyq [AT] lamda [DOT] nju [DOT] edu [DOT] cn

Laboratory: A201, Siu Yat-Fu Building, Xianlin Campus of Nanjing University

Address: National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(南京市栖霞区仙林大道163号, 南京大学仙林校区603信箱, 软件新技术国家重点实验室, 210023.)