Scholar
Haixin Wang
Google Scholar ID: RGZUJOkAAAAJ
UCLA; Peking University
Citations & Impact
Citations
838
H-index
13
i10-index
16
Publications
20
Co-authors
4
list available
Publications
Resume (English only)
Academic Achievements
- Five papers accepted by NeurIPS 2025; One paper accepted as oral by AAAI 2025; Published 'Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey' on Arxiv 2024; Published 'PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction' at ACM MM 2024; Published 'BENO: Boundary-embedded Neural Operators for Elliptic PDEs' at ICLR 2024; Published 'IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval' at NeurIPS 2023; Published 'Parameter-efficient Tuning of Large-scale Multimodal Foundation Model' at NeurIPS 2023; Published 'Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval' at ICCV 2023; Published 'DANCE: Learning A Domain Adaptive Framework for Deep Hashing' at WWW 2023; Published 'Towards Effective Domain Adaptive Retrieval' at TIP 2023; Published 'Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework' at ECCV 2020.
Research Experience
- 2025.06 - 2025.11: Applied scientist intern at Amazon; 2023.09 - 2024.10: Visiting scholar at Westlake University; 2023.12 - 2024.03: AI4Science research intern at Microsoft Research Asia; 2020.03 - 2020.09: Research intern at Tsinghua University.
Education
- Currently a second-year Ph.D. student in Computer Science at UCLA, advised by Prof. Yizhou Sun and collaborating closely with Prof. Wei Wang.
Background
- Research interests include Large Language Models (LLM), LLM-based Agents, Multimodal LLM, and AI4Science. Received M.S. degree from Peking University.
Miscellany
- No detailed information provided about personal interests.
