A constrained optimization approach to dynamic state estimation for power systems including PMU measurements. - Zidong Wang 010; Liang Hu 002; Izaz Ur Rahman; Xiaohui Liu 001 (ICAC, 2013)

AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy. - Zedong Tang; Fenlong Jiang; Maoguo Gong; Hao Li 009; Fan Yu; Zidong Wang 010; Min Wang 037 (CoRR, 2020)

THOR, Trace-based Hardware-driven Layer-Oriented Natural Gradient Descent Computation. - Mengyun Chen; Kai-Xin Gao; Xiaolei Liu; Zidong Wang 010; Ningxi Ni; Qian Zhang 001; Lei Chen 002; Chao Ding; Zheng-Hai Huang; Min Wang 037; Shuangling Wang; Fan Yu; et al. (AAAI, 2021)

A Trace-restricted Kronecker-Factored Approximation to Natural Gradient. - Kai-Xin Gao; Xiao-Lei Liu; Zheng-Hai Huang; Min Wang 037; Zidong Wang 010; Dachuan Xu; Fan Yu (AAAI, 2021)

SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature. - Zedong Tang; Fenlong Jiang; Maoguo Gong; Hao Li 009; Yue Wu 004; Fan Yu; Zidong Wang 010; Min Wang 037 (CVPR, 2021)

Solving Partial Differential Equations with Point Source Based on Physics-Informed Neural Networks. - Xiang Huang; Hongsheng Liu 002; Beiji Shi; Zidong Wang 010; Kang Yang; Yang Li 106; Bingya Weng; Min Wang 037; Haotian Chu; Jing Zhou; Fan Yu; Bei Hua; et al. (CoRR, 2021)

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations. - Xiang Huang; Zhanhong Ye; Hongsheng Liu 002; Beiji Shi; Zidong Wang 010; Kang Yang; Yang Li 106; Bingya Weng; Min Wang 037; Haotian Chu; Jing Zhou; Fan Yu; et al. (CoRR, 2021)

A Universal PINNs Method for Solving Partial Differential Equations with a Point Source. - Xiang Huang; Hongsheng Liu 002; Beiji Shi; Zidong Wang 010; Kang Yang; Yang Li 106; Min Wang 037; Haotian Chu; Jing Zhou; Fan Yu; Bei Hua; Bin Dong 001; et al. (IJCAI, 2022)

Meta-Auto-Decoder for Solving Parametric Partial Differential Equations. - Xiang Huang; Zhanhong Ye; Hongsheng Liu 002; Beiji Shi; Zidong Wang 010; Kang Yang; Yang Li 106; Min Wang 037; Haotian Chu; Fan Yu; Bei Hua; Lei Chen 002; et al. (NeurIPS, 2022)

PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction. - Sirui Liu 001; Jun Zhang 071; Haotian Chu; Min Wang 037; Boxin Xue; Ningxi Ni; Jialiang Yu; Yuhao Xie; Zhenyu Chen; Mengyun Chen; Yuan Liu; Piya Patra; et al. (CoRR, 2022)

Few-Shot Learning of Accurate Folding Landscape for Protein Structure Prediction. - Jun Zhang 071; Sirui Liu 001; Mengyun Chen; Haotian Chu; Min Wang 037; Zidong Wang 010; Jialiang Yu; Ningxi Ni; Fan Yu; Diqing Chen; Yi Isaac Yang; Boxin Xue; et al. (CoRR, 2022)

Retinal Image Segmentation with Small Datasets. - Nchongmaje Ndipenoch; Alina Dana Miron; Zidong Wang 010; Yongmin Li 001 (BIOIMAGING, 2023)

nnUNet RASPP for Retinal OCT Fluid Detection, Segmentation and Generalisation over Variations of Data Sources. - Nchongmaje Ndipenoch; Alina Dana Miron; Zidong Wang 010; Yongmin Li 001 (CoRR, 2023)

Analysis of the Decoder Width for Parametric Partial Differential Equations. - Zhanhong Ye; Hongsheng Liu 002; Zidong Wang 010; Bin Dong 001 (CoRR, 2023)

Learning to simulate partially known spatio-temporal dynamics with trainable difference operators. - Xiang Huang; Zhuoyuan Li 005; Hongsheng Liu 002; Zidong Wang 010; Hongye Zhou; Bin Dong 001; Bei Hua (CoRR, 2023)

Composite Disturbance Filtering: A Novel State Estimation Scheme for Systems With Multi-Source, Heterogeneous, and Isomeric Disturbances. - Lei Guo 003; Wenshuo Li; Yukai Zhu 001; Xiang Yu 003; Zidong Wang 010 (CoRR, 2023)

Eigenvalue-Corrected Natural Gradient Based on a New Approximation. - Kai-Xin Gao; Zheng-Hai Huang; Xiaolei Liu; Min Wang 037; Shuangling Wang; Zidong Wang 010; Dachuan Xu; Fan Yu (Asia Pac. J. Oper. Res., 2023)

An evolutionary algorithm with clustering-based selection strategies for multi-objective optimization. - Shenghao Zhou; Xiaomei Mo; Zidong Wang 010; Qi Li 021; Tianxiang Chen; Yujun Zheng 001; Weiguo Sheng 001 (Inf. Sci., 2023)

Quadratic filtering for discrete time-varying non-Gaussian systems under binary encoding schemes. - Shaoying Wang; Zidong Wang 010; Hongli Dong; Bo Shen 001; Yun Chen 008 (Autom., 2023)

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 002; Zidong Wang 010; Jian-Xun Wang 001; Ji-Rong Wen; Hao Sun 002; et al. (NeurIPS, 2024)

PDEformer: Towards a Foundation Model for One-Dimensional Partial Differential Equations. - Zhanhong Ye; Xiang Huang; Leheng Chen; Hongsheng Liu 002; Zidong Wang 010; Bin Dong 001 (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 002; Zidong Wang 010; Bin Dong 001 (CoRR, 2024)

PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems. - Bocheng Zeng; Qi Wang; Mengtao Yan; Yang Liu 099; Ruizhi Chengze; Yi Zhang; Hongsheng Liu 002; Zidong Wang 010; Hao Sun 002 (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; Ruizhi Chengze; Hongsheng Liu 002; Zidong Wang 010; Jian-Xun Wang 001; Ji-Rong Wen; Hao Sun 002; et al. (CoRR, 2024)

Versatile Framework for Drug-Target Interaction Prediction by Considering Domain-Specific Features. - Shuo Liu; Jialiang Yu; Ningxi Ni; Zidong Wang 010; Mengyun Chen; Yuquan Li; Chen Xu; Yahao Ding; Jun Zhang 071; Xiaojun Yao; Huanxiang Liu (J. Chem. Inf. Model., 2024)

Solving the Boltzmann Equation with a Neural Sparse Representation. - Zhengyi Li; Yanli Wang; Hongsheng Liu 002; Zidong Wang 010; Bin Dong 001 (SIAM J. Sci. Comput., 2024)

Conservation-informed Graph Learning for Spatiotemporal Dynamics Prediction. - Yuan Mi; Pu Ren; Hongteng Xu; Hongsheng Liu 002; Zidong Wang 010; Yike Guo; Ji-Rong Wen; Hao Sun 002; Yang Liu 005 (KDD (1), 2025)

Semi-supervised multi-view feature selection with adaptive similarity fusion and learning. - Bingbing Jiang 001; Jun Liu 001; Zidong Wang 010; Chenglong Zhang; Jie Yang 052; Yadi Wang; Weiguo Sheng 001; Weiping Ding 001 (Pattern Recognit., 2025)

Learnable-Differentiable Finite Volume Solver for Accelerated Simulation of Flows. - Mengtao Yan; Qi Wang; Haining Wang; Ruizhi Chengze; Yi Zhang; Hongsheng Liu 002; Zidong Wang 010; Fan Yu; Qi Qi; Hao Sun 002 (CoRR, 2025)