Hongsheng Liu

25 papers A* 5Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction.
KDD (1)
Yuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu, Zidong Wang, Yike Guo, Ji-Rong Wen, Hao Sun, Yang Liu
2025 — conf
Learnable-Differentiable Finite Volume Solver for Accelerated Simulation of Flows.
KDD (2)
Mengtao Yan, Qi Wang, Haining Wang, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Fan Yu, Qi Qi, Hao Sun
2025 J jnl
Learnable-Differentiable Finite Volume Solver for Accelerated Simulation of Flows.
CoRR
Mengtao Yan, Qi Wang, Haining Wang, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Fan Yu, Qi Qi, Hao Sun
2025 A* conf
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation.
ICML
Qi Wang, Yuan Mi, Haoyun Wang, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Ji-Rong Wen, Hao Sun
2025 J jnl
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation.
CoRR
Qi Wang, Yuan Mi, Haoyun Wang, Yi Zhang, Ruizhi Chengze, Hongsheng Liu, Ji-Rong Wen, Hao Sun
2025 J jnl
PDEformer-2: A Versatile Foundation Model for Two-Dimensional Partial Differential Equations.
CoRR
Zhanhong Ye, Zining Liu, Bingyang Wu, Hongjie Jiang, Leheng Chen, Minyan Zhang, Xiang Huang, Qinghe Meng, Jingyuan Zou, Hongsheng Liu, Bin Dong
2025 A* conf
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems.
ICLR
Bocheng Zeng, Qi Wang, Mengtao Yan, Yang Liu, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Hao Sun
2025 — conf
SlotPi: Physics-informed Object-centric Reasoning Models.
KDD (2)
Jian Li, Han Wan, Ning Lin, Yu-Liang Zhan, Ruizhi Chengze, Haining Wang, Yi Zhang, Hongsheng Liu, Zidong Wang, Fan Yu, Hao Sun
2025 J jnl
SlotPi: Physics-informed Object-centric Reasoning Models.
CoRR
Jian Li, Han Wan, Ning Lin, Yu-Liang Zhan, Ruizhi Chengze, Haining Wang, Yi Zhang, Hongsheng Liu, Zidong Wang, Fan Yu, Hao Sun
2024 J jnl
Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction.
CoRR
Yuan Mi, Pu Ren, Hongteng Xu, Hongsheng Liu, Zidong Wang, Yike Guo, Ji-Rong Wen, Hao Sun, Yang Liu
2024 A* conf
P
NeurIPS
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
2024 J jnl
P
CoRR
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
2024 J jnl
PDEformer-1: A Foundation Model for One-Dimensional Partial Differential Equations.
CoRR
Zhanhong Ye, Xiang Huang, Leheng Chen, Zining Liu, Bingyang Wu, Hongsheng Liu, Zidong Wang, Bin Dong
2024 J jnl
PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations.
CoRR
Zhanhong Ye, Xiang Huang, Leheng Chen, Hongsheng Liu, Zidong Wang, Bin Dong
2024 J jnl
PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems.
CoRR
Bocheng Zeng, Qi Wang, Mengtao Yan, Yang Liu, Ruizhi Chengze, Yi Zhang, Hongsheng Liu, Zidong Wang, Hao Sun
2024 J jnl
Solving the Boltzmann Equation with a Neural Sparse Representation.
SIAM J. Sci. Comput.
Zhengyi Li, Yanli Wang, Hongsheng Liu, Zidong Wang, Bin Dong
2023 J jnl
Analysis of the Decoder Width for Parametric Partial Differential Equations.
CoRR
Zhanhong Ye, Hongsheng Liu, Zidong Wang, Bin Dong
2023 J jnl
Learning to simulate partially known spatio-temporal dynamics with trainable difference operators.
CoRR
Xiang Huang, Zhuoyuan Li, Hongsheng Liu, Zidong Wang, Hongye Zhou, Bin Dong, Bei Hua
2023 J jnl
Meta-Auto-Decoder: A Meta-Learning Based Reduced Order Model for Solving Parametric Partial Differential Equations.
CoRR
Zhanhong Ye, Xiang Huang, Hongsheng Liu, Bin Dong
2023 J jnl
Solving Boltzmann equation with neural sparse representation.
CoRR
Zhengyi Li, Yanli Wang, Hongsheng Liu, Zidong Wang, Bin Dong
2022 A* conf
A Universal PINNs Method for Solving Partial Differential Equations with a Point Source.
IJCAI
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
2022 A* conf
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations.
NeurIPS
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
2021 J jnl
Meta-Auto-Decoder for Solving Parametric Partial Differential Equations.
CoRR
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
2021 J jnl
Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks.
CoRR
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
2019 J jnl
Convergence of the augmented decomposition algorithm.
Comput. Optim. Appl.
Hongsheng Liu, Shu Lu