Large-Scale Log-Determinant Computation via Weighted L_2 Polynomial Approximation with Prior Distribution of Eigenvalues. - Wei Peng 010; Hongxia Wang (HPCA (China), 2015)

Computing Diagonals of Toeplitz Pentadiagonal Matrix Inverses via Matrix Möbius Transformations. - Chengcheng Huang; Wei Peng 010; Housen Li; Lizhi Cheng; Hao Jiang 001 (ICNCC, 2017)

A general scheme for log-determinant computation of matrices via stochastic polynomial approximation. - Wei Peng 010; Hongxia Wang (Comput. Math. Appl., 2018)

Training GANs with Centripetal Acceleration. - Wei Peng 010; Yuhong Dai; Hui Zhang 050; Lizhi Cheng (CoRR, 2019)

Nonconvex Proximal Incremental Aggregated Gradient Method with Linear Convergence. - Wei Peng 010; Hui Zhang 050; Xiaoya Zhang (J. Optim. Theory Appl., 2019)

Accelerating Physics-Informed Neural Network Training with Prior Dictionaries. - Wei Peng 010; Weien Zhou; Jun Zhang 052; Wen Yao (CoRR, 2020)

Global complexity analysis of inexact successive quadratic approximation methods for regularized optimization under mild assumptions. - Wei Peng 010; Hui Zhang 050; Xiaoya Zhang; Lizhi Cheng (J. Glob. Optim., 2020)

Training GANs with centripetal acceleration. - Wei Peng 010; Yu-Hong Dai; Hui Zhang 050; Lizhi Cheng (Optim. Methods Softw., 2020)

Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems. - Zhiqiang Gong; Weien Zhou; Jun Zhang 052; Wei Peng 010; Wen Yao (CoRR, 2021)

IDRLnet: A Physics-Informed Neural Network Library. - Wei Peng 010; Jun Zhang 052; Weien Zhou; Xiaoyu Zhao; Wen Yao; Xiaoqian Chen (CoRR, 2021)

Proximal-Like Incremental Aggregated Gradient Method with Linear Convergence Under Bregman Distance Growth Conditions. - Hui Zhang 050; Yu-Hong Dai; Lei Guo 022; Wei Peng 010 (Math. Oper. Res., 2021)

Deep Learning Based Thermal Stress and Deformation Analysis of Satellites. - Zeyu Cao; Wei Peng 010; Xiaoya Zhang; Wen Yao (MMBD, 2022)

A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain. - Kairui Bao; Wen Yao; Xiaoya Zhang; Wei Peng 010; Yu Li (CoRR, 2022)

RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks. - Wei Peng 010; Weien Zhou; Xiaoya Zhang; Wen Yao; Zheliang Liu (CoRR, 2022)

Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites. - Zeyu Cao; Wen Yao; Wei Peng 010; Xiaoya Zhang; Kairui Bao (CoRR, 2022)

Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks. - Wei Peng 010; Wen Yao; Weien Zhou; Xiaoya Zhang; Weijie Yao (CoRR, 2022)

RBF-MGN: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network. - Zixue Xiang; Wei Peng 010; Wen Yao (CoRR, 2022)

Temperature field inversion of heat-source systems via physics-informed neural networks. - Xu Liu 021; Wei Peng 010; Zhiqiang Gong; Weien Zhou; Wen Yao (Eng. Appl. Artif. Intell., 2022)

Self-adaptive loss balanced Physics-informed neural networks. - Zixue Xiang; Wei Peng 010; Xu Liu 021; Wen Yao (Neurocomputing, 2022)

Inertial proximal incremental aggregated gradient method with linear convergence guarantees. - Xiaoya Zhang; Wei Peng 010; Hui Zhang 050 (Math. Methods Oper. Res., 2022)

A novel meta-learning initialization method for physics-informed neural networks. - Xu Liu 021; Xiaoya Zhang; Wei Peng 010; Weien Zhou; Wen Yao (Neural Comput. Appl., 2022)

A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification. - Shulei Liu; Handing Wang; Wei Peng 010; Wen Yao (IEEE Trans. Evol. Comput., 2022)

A Method for Flow Field Reconstruction based on Fourier Neural Operator Network. - Weijie Yao; Wei Peng 010; Xiaoya Zhang; Wen Yao (ICCAI, 2023)

Joint deep reversible regression model and physics-informed unsupervised learning for temperature field reconstruction. - Zhiqiang Gong; Weien Zhou; Jun Zhang 052; Wei Peng 010; Wen Yao (Eng. Appl. Artif. Intell., 2023)

Bayesian physics-informed extreme learning machine for forward and inverse PDE problems with noisy data. - Xu Liu 021; Wen Yao; Wei Peng 010; Weien Zhou (Neurocomputing, 2023)

MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders. - Junru Song; Yang Yang 123; Wei Peng 010; Weien Zhou; Feifei Wang; Wen Yao (AAAI, 2024)

Empirical Study on Averaging-based Noise-Tolerant Methods for Expensive Combinatorial Optimization. - Shulei Liu; Handing Wang; Wen Yao; Wei Peng 010; Jingjing Ma (CEC, 2024)

HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling. - Yifan Hao; Yang Yang 123; Junru Song; Wei Peng 010; Weien Zhou; Tingsong Jiang; Wen Yao (IJCNN, 2024)

Solving spatiotemporal partial differential equations with Physics-informed Graph Neural Network. - Zixue Xiang; Wei Peng 010; Wen Yao; Xu Liu 021; Xiaoya Zhang (Appl. Soft Comput., 2024)

Surrogate-Assisted Environmental Selection for Fast Hypervolume-Based Many-Objective Optimization. - Shulei Liu; Handing Wang; Wen Yao; Wei Peng 010 (IEEE Trans. Evol. Comput., 2024)

Rapidly Evolving Soft Robots via Action Inheritance. - Shulei Liu; Wen Yao; Handing Wang; Wei Peng 010; Yang Yang 123 (IEEE Trans. Evol. Comput., 2024)