I am a Ph.D. candidate in the School of Computer Science at Peking University , advised by Prof. Zongqing Lu. My research interests include Reinforcement Learning, Generative Modeling, Multimodal LLMs, and Embodied Agent. Feel free to contact me if you are interested in discussing or collaborating.
[Email / Google Scholar / Github / CV]
Education
- School of Computer Science, Peking University.
- Ph.D. Candidate. (Sep. 2022 — Present)
- Supervisor: Prof. Zongqing Lu.
- Department of Computer Science and Technology, Tsinghua University.
- Master of Science Degree. (Sep. 2019 — Jun. 2022)
- Supervisor: Prof. Xi Xiao.
- School of Mathematical Sciences, Nankai University.
- Bachelor of Science Degree. (Sep. 2015 — Jun. 2019)
- Advisor: Prof. Jishou Ruan.
Publication
- From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities. (arXiv’24.10)
- Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation. (ICML’24)
- AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback. (NAACL’24)
- Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. (ICML’23)
- Model-Based Opponent Modeling. (NeurIPS’22)
- iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control. (AAAI’22)
- Efficient and Stable Information Directed Exploration for Continuous Reinforcement Learning. (ICASSP’22)
- Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control. (ACML’21)
- Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation. (ICRA’21)
- A Simulator-based Planning Framework for Optimizing Autonomous Greenhouse Control Strategy. (ICAPS’21)
- MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning. (arXiv’21.08)
- Self-Paced Probabilistic Principal Component Analysis for Data with Outliers. (ICASSP’20)
Patent
- Method, device and equipment for determining parameters and storage medium. (CN112527104A)
Experience
- Beijing Academy of Artificial Intelligence (BAAI)
- Research Intern. (May. 2024 — Present)
- Topic: Multimodal LLMs / Embodied Agent.
- Supervisor: Prof. Zongqing Lu.
- Tencent AI Lab
- Research Intern. (Jun. 2020 — Jul. 2021)
- Topic: Reinforcement Learning / AI for Science.
- Supervisor: Dr. Dijun Luo.
- Availink
- Research Intern. (Aug. 2018 — Oct. 2018)
- Topic: Machine Learning.
- Supervisor: Dr. Feng-Wen Sun.
Award
- Award for Scientific Research of Peking University. (Oct. 2024)
- Presidential Scholarship of Peking University. (May. 2024)
- Rhino-bird Elite Training Program of Tencent AI Lab. (Jul. 2021)
- Mathematical Contest in Modeling (MCM/ICM), Meritorious Winner (First Prize). (Apr. 2017)
- China Undergraduate Mathematical Contest in Modeling (CUMCM), Second Prize. (Jan. 2016)
Service
- Conference Reviewer
- ICML: 2022, 2023, 2024
- NeurIPS: 2022, 2023, 2024
- ICLR: 2024, 2025
- AAAI: 2025
- ICRA: 2025
- AISTATS: 2025
- Journal Reviewer
- TNNLS
- TIST