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Xiang Huang
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Publications
- 2024
- [i14]Zhanhong Ye, Xiang Huang, Leheng Chen, Hongsheng Liu, Zidong Wang, Bin Dong:
PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations. CoRR abs/2402.12652 (2024) - 2023
- [i11]Zhanhong Ye, Xiang Huang, Hongsheng Liu, Bin Dong:
Meta-Auto-Decoder: A Meta-Learning Based Reduced Order Model for Solving Parametric Partial Differential Equations. CoRR abs/2302.08263 (2023) - [i8]Xiang Huang, Zhuoyuan Li, Hongsheng Liu, Zidong Wang, Hongye Zhou, Bin Dong, Bei Hua:
Learning to simulate partially known spatio-temporal dynamics with trainable difference operators. CoRR abs/2307.14395 (2023) - 2022
- [c19]Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Bin Dong, Lei Chen:
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source. IJCAI 2022: 3839-3846 - [c18]Xiang Huang, Zhanhong Ye, Hongsheng Liu, Shi Ji, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Fan Yu, Bei Hua, Lei Chen, Bin Dong:
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations. NeurIPS 2022 - 2021
- [i5]Xiang Huang, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong:
Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks. CoRR abs/2111.01394 (2021) - [i4]Xiang Huang, Zhanhong Ye, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Bingya Weng, Min Wang, Haotian Chu, Jing Zhou, Fan Yu, Bei Hua, Lei Chen, Bin Dong:
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations. CoRR abs/2111.08823 (2021)
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