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ORCIDHongsheng Liu 0002
Person information
- affiliation: Huawei Technologies Co. Ltd, Central Software Institute, Guangdong, China
Other persons with the same name
- Hongsheng Liu — disambiguation page
- Hongsheng Liu 0001
![[0000-0001-9242-6508]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9242-6508")
— Liaoning University, Engineering Laboratory for Molecular Simulation and Designing of Drug Molecules of Liaoning, China (and 1 more) - Hongsheng Liu 0003 — Guangzhou Medical University, Department of Radiology, Guangzhou Women and Children's Medical Center, China
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2020 – today
- 2025
[c4]Yuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu, Zidong Wang, Yike Guo, Ji-Rong Wen, Hao Sun, Yang Liu:
Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction. KDD (1) 2025: 1056-1067- [i12]Qi Wang, Yuan Mi, Haoyun Wang, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Ji-Rong Wen, Hao Sun:
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation. CoRR abs/2501.15987 (2025) - 2024
- [j1]Zhengyi Li, Yanli Wang, Hongsheng Liu, Zidong Wang, Bin Dong:
Solving the Boltzmann Equation with a Neural Sparse Representation. SIAM J. Sci. Comput. 46(2): 186- (2024) - [c3]Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Zeruizhi Cheng, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu:
P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics. NeurIPS 2024 - [i11]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) - [i10]Zhanhong Ye, Xiang Huang, Leheng Chen, Zining Liu, Bingyang Wu, Hongsheng Liu, Zidong Wang, Bin Dong:
PDEformer-1: A Foundation Model for One-Dimensional Partial Differential Equations. CoRR abs/2407.06664 (2024) - [i9]Bocheng Zeng, Qi Wang, Mengtao Yan, Yang Liu, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Hao Sun:
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems. CoRR abs/2410.01337 (2024) - [i8]Qi Wang, Pu Ren, Hao Zhou, Xin-Yang Liu, Zhiwen Deng, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Zidong Wang, Jian-Xun Wang, Ji-Rong Wen, Hao Sun, Yang Liu:
P2C2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics. CoRR abs/2411.00040 (2024) - [i7]Yuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu, Zidong Wang, Yike Guo, Ji-Rong Wen, Hao Sun, Yang Liu:
Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction. CoRR abs/2412.20962 (2024) - 2023
- [i6]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) - [i5]Zhengyi Li, Yanli Wang, Hongsheng Liu, Zidong Wang, Bin Dong:
Solving Boltzmann equation with neural sparse representation. CoRR abs/2302.09233 (2023) - [i4]Zhanhong Ye, Hongsheng Liu, Zidong Wang, Bin Dong:
Analysis of the Decoder Width for Parametric Partial Differential Equations. CoRR abs/2306.14390 (2023) - [i3]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
- [c2]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 - [c1]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
- [i2]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) - [i1]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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