Zidong Wang

38 papers A* 7Journal 26Unranked 5
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
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 J jnl
Semi-supervised multi-view feature selection with adaptive similarity fusion and learning.
Pattern Recognit.
Bingbing Jiang, Jun Liu, Zidong Wang, Chenglong Zhang, Jie Yang, Yadi Wang, Weiguo Sheng, Weiping Ding
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
2024 J jnl
Versatile Framework for Drug-Target Interaction Prediction by Considering Domain-Specific Features.
J. Chem. Inf. Model.
Shuo Liu, Jialiang Yu, Ningxi Ni, Zidong Wang, Mengyun Chen, Yuquan Li, Chen Xu, Yahao Ding, Jun Zhang, Xiaojun Yao, Huanxiang Liu
2023 J jnl
An evolutionary algorithm with clustering-based selection strategies for multi-objective optimization.
Inf. Sci.
Shenghao Zhou, Xiaomei Mo, Zidong Wang, Qi Li, Tianxiang Chen, Yujun Zheng, Weiguo Sheng
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
Composite Disturbance Filtering: A Novel State Estimation Scheme for Systems With Multi-Source, Heterogeneous, and Isomeric Disturbances.
CoRR
Lei Guo, Wenshuo Li, Yukai Zhu, Xiang Yu, Zidong Wang
2023 J jnl
Eigenvalue-Corrected Natural Gradient Based on a New Approximation.
Asia Pac. J. Oper. Res.
Kai-Xin Gao, Zheng-Hai Huang, Xiaolei Liu, Min Wang, Shuangling Wang, Zidong Wang, Dachuan Xu, Fan Yu
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
Quadratic filtering for discrete time-varying non-Gaussian systems under binary encoding schemes.
Autom.
Shaoying Wang, Zidong Wang, Hongli Dong, Bo Shen, Yun Chen
2023 — conf
Retinal Image Segmentation with Small Datasets.
BIOIMAGING
Nchongmaje Ndipenoch, Alina Dana Miron, Zidong Wang, Yongmin Li
2023 J jnl
Retinal Image Segmentation with Small Datasets.
CoRR
Nchongmaje Ndipenoch, Alina Dana Miron, Zidong Wang, Yongmin Li
2023 J jnl
Solving Boltzmann equation with neural sparse representation.
CoRR
Zhengyi Li, Yanli Wang, Hongsheng Liu, Zidong Wang, Bin Dong
2023 J jnl
nnUNet RASPP for Retinal OCT Fluid Detection, Segmentation and Generalisation over Variations of Data Sources.
CoRR
Nchongmaje Ndipenoch, Alina Dana Miron, Zidong Wang, Yongmin Li
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 J jnl
Few-Shot Learning of Accurate Folding Landscape for Protein Structure Prediction.
CoRR
Jun Zhang, Sirui Liu, Mengyun Chen, Haotian Chu, Min Wang, Zidong Wang, Jialiang Yu, Ningxi Ni, Fan Yu, Diqing Chen, Yi Isaac Yang, Boxin Xue, Lijiang Yang, Yuan Liu, Yi Qin Gao
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
2022 J jnl
PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction.
CoRR
Sirui Liu, Jun Zhang, Haotian Chu, Min Wang, Boxin Xue, Ningxi Ni, Jialiang Yu, Yuhao Xie, Zhenyu Chen, Mengyun Chen, Yuan Liu, Piya Patra, Fan Xu, Jie Chen, Zidong Wang, Lijiang Yang, Fan Yu, Lei Chen, Yi Qin Gao
2021 A* conf
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient.
AAAI
Kai-Xin Gao, Xiao-Lei Liu, Zheng-Hai Huang, Min Wang, Zidong Wang, Dachuan Xu, Fan Yu
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 A* conf
SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature.
CVPR
Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Yue Wu, Fan Yu, Zidong Wang, Min Wang
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
2021 A* conf
THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation.
AAAI
Mengyun Chen, Kai-Xin Gao, Xiaolei Liu, Zidong Wang, Ningxi Ni, Qian Zhang, Lei Chen, Chao Ding, Zheng-Hai Huang, Min Wang, Shuangling Wang, Fan Yu, Xinyuan Zhao, Dachuan Xu
2020 J jnl
A Trace-restricted Kronecker-Factored Approximation to Natural Gradient.
CoRR
Kai-Xin Gao, Xiao-Lei Liu, Zheng-Hai Huang, Min Wang, Zidong Wang, Dachuan Xu, Fan Yu
2020 J jnl
AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy.
CoRR
Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Fan Yu, Zidong Wang, Min Wang
2020 J jnl
Eigenvalue-corrected Natural Gradient Based on a New Approximation.
CoRR
Kai-Xin Gao, Xiao-Lei Liu, Zheng-Hai Huang, Min Wang, Shuangling Wang, Zidong Wang, Dachuan Xu, Fan Yu
2013 — conf
A constrained optimization approach to dynamic state estimation for power systems including PMU measurements.
ICAC
Zidong Wang, Liang Hu, Izaz Ur Rahman, Xiaohui Liu