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Transolver: A Fast Transformer Solver for PDEs on General Geometries
Haixu Wu,
Huakun Luo,
Haowen Wang,
Jianming Wang,
Mingsheng Long
ICML, 2024 (Spotlight)
arXiv | Code | Slices
We designed a physics-informed model to solve partial differential equations (PDEs), learning intrinsic physical
states for better performance.
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Hypergraph-Guided Disentangled Spectrum Transformer Networks for
Near-Infrared Facial Expression Recognition
Bingjun Luo, Haowen Wang,
Jinpeng Wang, Junjie Zhu,
Xibin Zhao,
Yue Gao
AAAI, 2024
arXiv
We proposed a hypergraph-guided disentangled spectrum transformer network for near-infrared facial expression
recognition.
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Unisolver: PDE-Conditional Transformers Are
Universal PDE Solvers
Hang Zhou, Yuezhou Ma, Haixu Wu, Haowen Wang,
Mingsheng Long
Preprint
arXiv
We presents the Universal PDE solver (Unisolver) capable of solving a wide scope of PDEs by leveraging a Transformer pre-trained on diverse data and conditioned on diverse PDEs.
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2023: Geru Zheng Scholarships (top 5%)
2022: Dongfang Electric Scholarships (top 10%)
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Badminton: I love playing badminton🏸️ ! Can't live without it 🥰
Swimming: 🏊🏻🩱🐟🏖️
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The source code is stolen from Jon Barron. Thanks for his sharing! 🙏🏻
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