Biography

Hi 🤗! I am a second-year Ph.D. student at Hong Kong University of Science and Technology, advised by Prof. Ling Pan.

I received my Bachelor’s 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 🤔:

• 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.

😊 I am open to any collaboration.

Feel free to contact me with email (haoran.he@connect.ust.hk) or wechat (hhr_tinner).

🔥 News

[Mar. 2025] I gave an invited talk at MSRA.

[Feb. 2025] 🎉RBS-GFN has been accepted by ICLR 2025!

[Sep. 2024] 🎉 VPDD and CAMP have been accepted by NeurIPS 2024!

[Sep. 2024] 🎉 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] 🎉 Our paper (MTDiff) has been accepted by NeurIPS 2023.

[Sep. 2023] I gave a talk at RLChina.

[Jul. 2023] 🎉 I received my Bachelor’s degree from Shanghai Jiao Tong University.

📖 Service

• Conference reviewer: ICML 2024～2025, NeurIPS 2024, IROS 2024, AAAI 2025, ICLR 2025, ICRA 2025
• Journal reviewer: TPAMI