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Haixin Wang (汪海昕)

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Master Student,

National Engineering Research Center for Software Engineering,

Peking University, No. 5 Yiheyuan Road, Beijing, China

E-mail: wang.hx@stu.pku.edu.cn

About me

I'm a third year master student in Peking University supervised by Prof. Jinan Sun. I received the B.S. degree from University of Science and Technology Beijng, in 2021. My main research interests include machine learning and computer vision, such as representation learning, challenging image retrieval, and multi-modal prompt learning. Recently, I focus on the area of AI for science, such as physical simulation. Feel free to contact me for communication and collaboration.

Research

My research interests include:

  1. AI for Science. Cooperate with Tailin Wu (Westlake), Kentaro Hara (Stanford) on:

    • PDE Foundation Model.

    • Physics Simulation & Prediction

  2. Large-scale Vision Model.

    • Parameter-efficient Transfer Learning.

    • Multi-modal Model Tuning.

  3. Real-world Information Retrieval. Cooperate with Xiao Luo (UCLA) on:

    • Domain Adaption/Generalization Retrieval.

    • Retrieval under Label Noise.

News

  • [01/24] One paper is acceppted by ICLR2024 (First Author)

  • [12/23] One paper is acceppted by AAAI2024 (First Author)

  • [10/23] One paper is acceppted as Oral by NeurIPS2023-AI4Sci Workshop (First Author)

  • [09/23] Three papers are acceppted by NeurIPS2023 (2*First Author)

  • [08/23] One paper is acceppted by IEEE TKDE (First Author)

  • [07/23] One paper is acceppted by ICCV2023 (Co-First Author)

  • [02/23] One paper is acceppted by WebConf2023/WWW2023 (First Author)

  • [12/22] One paper is acceppted by IEEE TIP (First Author)

  • [07/22] One paper is acceppted by ACM MM2022 (Co-First Author)

Academic publications

  1. Haixin Wang*, Jiaxin Li*, Anubhav Dwivedi, Kentaro Hara, and Tailin Wu. "BENO: Boundary-embedded Neural Operators for Elliptic PDEs", International Conference on Learning Representations (ICLR2024) , 2024.

  2. Haixin Wang, Hao Wu, Jinan Sun, Shikun Zhang, Chong Chen, Xiao Luo, and Xiansheng Hua. "IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval", Conference on Neural Information Processing Systems (NeurIPS2023) , 2023. (CCF Rank A)

  3. Haixin Wang*, Xinlong Yang*, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, and Qi Tian. "Parameter-efficient Tuning of Large-scale Multimodal Foundation Model", Conference on Neural Information Processing Systems (NeurIPS2023) , 2023. (CCF Rank A)

  4. Xiao Luo, Haixin Wang, Zijie Huang, Huiyu Jiang, Abhijeet Sadashiv Gangan, Song Jiang, and Yizhou Sun. "CARE: Modeling Interacting Dynamics Under Temporal Distribution Shift", Conference on Neural Information Processing Systems (NeurIPS2023) , 2023. (CCF Rank A)

  5. Xinlong Yang*, Haixin Wang*, Jinan Sun, Shikun Zhang, Wei Xiang, Chong Chen, Xiansheng Hua, and Xiao Luo. "Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval", International Conference on Computer Vision (ICCV2023) , 2023. (CCF Rank A)

  6. Haixin Wang, Jinan Sun, Shikun Zhang, Wei Xiang, Chong Chen, Xiansheng Hua, and Xiao Luo. "DANCE: Learning A Domain Adaptive Framework for Deep Hashing", Proceedings of the ACM Web Conference (WWW2023), 2023. (CCF Rank A)

  7. Haixin Wang, Jinan Sun, Xiao Luo, Wei Xiang, Shikun Zhang, Chong Chen, and Xiansheng Hua. "Towards Effective Domain Adaptive Retrieval", IEEE Transactions on Image Processing (TIP), 2023. (CCF Rank A)

  8. Haixin Wang, Tianhao Zhang, Muzhi Yu, Jinan Sun, Wei Ye, Chen Wang, and Shikun Zhang. "Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework", European Conference on Computer Vision (ECCV2020), 2020. (CCF Rank B)

Full list of publications in Google Scholar.

Academic service

  • PC Member/Conference Reviewer:
    KDD'23, ICCV'23, NeurIPS'23, AAAI'24, ICLR'24, SDM'24, CVPR'24, ECCV'24, ACM MM'24.