Biography
Hi ๐ค! I am a second-year Ph.D. student at Hong Kong University of Science and Technology, advised by Prof. Ling Pan.
I received my Bachelorโs degree in computer science at Shanghai Jiao Tong University in June 2023, advised by Prof. Weinan Zhang as a member of APEX Lab. Previously, I worked closely with Dr. Chenjia Bai as an intern at Shanghai AI Lab.
I am actively looking for a 2025 summer research internship. If there are any opportunities, please feel free to contact me!
Research Interests
My goal is to develop an intelligent decision-making system that possesses optimality, generalizability, interpretability and robustness. To achieve this, I primarily focus on ๐ค:
- Generalist Reinforcement Learning and its applications in the real world.
- Generative models (e.g., flow and diffusion models) and their applications.
- Reinforcement learning for large foundation models (e.g., post-training).
- Large foundation models for reasoning and decision-making.
๐ I am open to any collaboration.
Feel free to contact me with email (haoran.he@connect.ust.hk) or wechat (hhr_tinner).
๐ฅ News
[Sep. 2024] ๐ VPDD and CAMP have been accepted by NeurIPS 2024!
[Sep. 2024] ๐ HIB has been accepted as CoRL 2024 oral presentation!
[May. 2024] One paper has been accepted by ICML 2024!
[Jan. 2024] One paper has been accepted by ICRA 2024!
[Sep. 2023] ๐ Our paper (MTDiff) has been accepted by NeurIPS 2023.
[Sep. 2023] I gave a talk at RLChina.
[Jul. 2023] ๐ I received my Bachelorโs degree from Shanghai Jiao Tong University.
๐ Service
- Conference reviewer: ICML 2024, IROS 2024, NeurIPS 2024, AAAI 2025, ICLR 2025, ICRA 2025
- Journal reviewer: TPAMI