Hello 👋, I am Haixin Wang (汪海昕). I’m the first year CS PhD student at UCLA supervised by Prof. Yizhou Sun. I received the M.S. degree from Peking University. My main research interests include AI for Science and Multi-modal Learning. 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:
- Multi-modal Large Langugae Model
- Multi-modal Understanding & Generation
- Text-to-Video Generation
- AI for Science
- Scientific Foundation Model
- Fluid & Molecular Dynamics
- Bioinformatics & Multi-Omics
🔥 News
- 2025.01: 🎉🎉 One paper is acceppted as oral by AAAI 2025.
- 2024.09: 🎉🎉 I joined the UCLA DATA MINING LAB as a PhD student.
- 2024.01: 🎉🎉 One paper is acceppted by ICLR 2024.
💼 Internships & Visiting Scholar
- 2023.09 - 2024.10, Visiting scholar, Westlake University.
- 2023.12 - 2024.03, AI4Science reasearch 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.
- Reviewer for Journals: TIFS.