👨🎓 About Me
I am a MS student at Tsinghua University, advised by Prof. Xiu Li. Currently, I am fortunate to work closely with Dr. Chenjia Bai as an intern at Shanghai AI Lab.
My research interests lie in efficient decision-making systems with powerful generalization and robustness. I primarily focus on:
- Deep Reinforcement Learning and Its Real-world Applications.
- Visual Foundation Models and Large Language Models for Decision Making (Embodied-AI).
📝 Publications
Conference Paper
SAM-E: Leveraging Visual Foundation Model with Sequence Imitation for Embodied Manipulation. Junjie Zhang, Chenjia Bai, Haoran He, Zhigang Wang, Bin Zhao, Xiu Li, Xuelong Li. International Conference on Machine Learning (ICML), 2024.
Uncertainty-driven Trajectory Truncation for Data Augmentation in Offline Reinforcement Learning. Junjie Zhang*, Jiafei Lyu*, Xiaoteng Ma, Jiangpeng Yan, Jun Yang, Le Wan, Xiu Li. European Conference on Artificial Intelligence (ECAI, Oral), 2023.
Benchmarking Robustness and Generalization in Multi-Agent Systems: A Case Study on Neural MMO. Yangkun Chen*, Joseph Suarez*, Junjie Zhang*, Chenghui Yu, Bo Wu, Hanmo Chen, Hengman Zhu, Rui Du, Shanliang Qian, Shuai Liu, Weijun Hong, Jinke He, Yibing Zhang, Liang Zhao, Clare Zhu, Julian Togelius, Sharada Mohanty, Jiaxin Chen, Xiu Li, Xiaolong Zhu, Phillip Isola. International Conference on Autonomous Agents and MultiAgent Systems (AAMAS), 2023.
Journal Paper
- Possibilities of reinforcement learning for nuclear power plants: Evidence on current applications and beyond. Aicheng Gong*, Yangkun Chen*, Junjie Zhang*, Xiu Li. Nuclear Engineering and Technology (NET), 2024.
📖 Educations
- 2021.09 - present, Master, Artificial Intelligence, Tsinghua University.
- 2017.09 - 2021.06, Bachelor, Aircraft Control and Information Engineering, Beihang Univeristy.