Hongsheng Liu

According to our database, Hongsheng Liu authored at least 17 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

PDEformer-2: A Versatile Foundation Model for Two-Dimensional Partial Differential Equations.

Zhanhong Ye, Zining Liu, Bingyang Wu, Hongjie Jiang, Leheng Chen, Minyan Zhang, Xiang Huang, Qinghe Meng, Jingyuan Zou, Hongsheng Liu, Bin Dong

CoRR, July, 2025

Learnable-Differentiable Finite Volume Solver for Accelerated Simulation of Flows.

Mengtao Yan, Qi Wang, Haining Wang, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Fan Yu, Qi Qi, Hao Sun

CoRR, July, 2025

MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation.

Qi Wang, Yuan Mi, Haoyun Wang, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Ji-Rong Wen, Hao Sun

CoRR, January, 2025

Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction.

Yuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu, Zidong Wang, Yike Guo, Ji-Rong Wen, Hao Sun, Yang Liu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

Solving the Boltzmann Equation with a Neural Sparse Representation.

Zhengyi Li, Yanli Wang, Hongsheng Liu, Zidong Wang, Bin Dong

SIAM J. Sci. Comput., 2024

P²C²Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics.

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

CoRR, 2024

PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems.

Bocheng Zeng, Qi Wang, Mengtao Yan, Yang Liu, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Hao Sun

CoRR, 2024

PDEformer-1: A Foundation Model for One-Dimensional Partial Differential Equations.

Zhanhong Ye, Xiang Huang, Leheng Chen, Zining Liu, Bingyang Wu, Hongsheng Liu, Zidong Wang, Bin Dong

CoRR, 2024

PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations.

Zhanhong Ye, Xiang Huang, Leheng Chen, Hongsheng Liu, Zidong Wang, Bin Dong

CoRR, 2024

P²C²Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics.

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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Learning to simulate partially known spatio-temporal dynamics with trainable difference operators.

Xiang Huang, Zhuoyuan Li, Hongsheng Liu, Zidong Wang, Hongye Zhou, Bin Dong, Bei Hua

CoRR, 2023

Analysis of the Decoder Width for Parametric Partial Differential Equations.

Zhanhong Ye, Hongsheng Liu, Zidong Wang, Bin Dong

CoRR, 2023

Meta-Auto-Decoder: A Meta-Learning Based Reduced Order Model for Solving Parametric Partial Differential Equations.

Zhanhong Ye, Xiang Huang, Hongsheng Liu, Bin Dong

CoRR, 2023

2022

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations.

Xiang Huang, Zhanhong Ye, Hongsheng Liu, Beiji Shi, Zidong Wang, Kang Yang, Yang Li, Min Wang, Haotian Chu, Fan Yu, Bei Hua, Lei Chen, Bin Dong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Universal PINNs Method for Solving Partial Differential Equations with a Point Source.

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

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations.

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

CoRR, 2021

Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks.

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

CoRR, 2021