Hello 👋, I am Haixin Wang (汪海昕). I am a second-year Ph.D. student in Computer Science at UCLA, advised by Prof. Yizhou Sun and collaborating closely with Prof. Wei Wang. I received the M.S. degree from Peking University. My main research interests include Large Langugae Model (LLM), LLM-based Agent, Multimodal LLM and AI4Science. I have published several papers at the top international AI Conferences/Journals with total . If you are interested in collaboration, feel free to email me at whx@cs.ucla.edu.

📖 Research interests:

• Large Language Model
  • Agentic Reinforcement Learning
  • Post-training of LLM
  • Multi-modal Understanding & Reasoning
• AI for Science
  • AI4Sci Foundation Model
  • Fluid & Molecular Dynamics Modeling

🔥 News

• 2025.09:  🎉🎉 Five papers have been accepted by NeurIPS 2025.
• 2025.01:  🎉🎉 One paper has been accepted as oral by AAAI 2025.
• 2024.09:  🎉🎉 I joined the UCLA DATA MINING LAB as a PhD student.

💼 Internships & Visiting Scholar

• 2025.06 - 2025.11, Applied scientist intern, Amazon.
• 2023.09 - 2024.10, Visiting scholar, Westlake University.
• 2023.12 - 2024.03, AI4Science research intern, Microsoft Research Asia.
• 2020.03 - 2020.09, Reasearch intern, Tsinghua University.

🔖 Selected Publications (* equal contribution, † corresponding author)

• Arxiv 2024 Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey, Haixin Wang, Yadi Cao, Zijie Huang, Yuxuan Liu, Peiyan Hu, Xiao Luo, Zezheng Song, Wanjia Zhao, Jilin Liu, Jinan Sun, Shikun Zhang, Long Wei, Yue Wang, Tailin Wu, Zhi-Ming Ma, and Yizhou Sun.

• ACM MM 2024 PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction, Hao Wu, Fan Xu, Chong Chen, Xian-Sheng Hua, Xiao Luo, and Haixin Wang^†.

• ICLR 2024 BENO: Boundary-embedded Neural Operators for Elliptic PDEs, Haixin Wang*, Jiaxin Li*, Anubhav Dwivedi, Kentaro Hara, and Tailin Wu.

• NeurIPS 2023 IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval, Haixin Wang, Hao Wu, Jinan Sun, Shikun Zhang, Chong Chen, Xiao Luo, and Xiansheng Hua.

• NeurIPS 2023 Parameter-efficient Tuning of Large-scale Multimodal Foundation Model, Haixin Wang*, Xinlong Yang*, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, and Qi Tian.

• ICCV 2023 Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval, Xinlong Yang*, Haixin Wang*, Jinan Sun, Shikun Zhang, Wei Xiang, Chong Chen, Xiansheng Hua, and Xiao Luo.

• WWW 2023 DANCE: Learning A Domain Adaptive Framework for Deep Hashing, Haixin Wang, Jinan Sun, Shikun Zhang, Wei Xiang, Chong Chen, Xiansheng Hua, and Xiao Luo.

• TIP 2023 Towards Effective Domain Adaptive Retrieval, Haixin Wang, Jinan Sun, Shikun Zhang, Wei Xiang, Chong Chen, Xiansheng Hua, and Xiao Luo.

• ECCV 2020 Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework, Haixin Wang, Tianhao Zhang, Muzhi Yu, Jinan Sun, Wei Ye, Chen Wang, and Shikun Zhang.

📄 Academic Services

• Reviewer for Conferences: KDD’23, ICCV’23, NeurIPS’23, AAAI’24, ICLR’24, SDM’24, CVPR’24, ECCV’24, ACM MM’24, ICLR’25, ICML’25, KDD’25, ACM MM’25, NeurIPS’25, AAAI’26, ICLR’26, KDD’26, CVPR’26.
• Reviewer for Journals: IEEE TIFS, Physics of fluids, IEEE TIP, IEEE TPAMI.