Wei Peng - RankMe

40 papers A* 1B 2Journal 33Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A multi-objective optimization framework based on information sharing for serially connected robot design. Complex Intell. Syst. Jiliang Zhao, Wei Peng, Handing Wang, Wen Yao
2025	J	`jnl`	Physics-informed Neural Implicit Flow neural network for parametric PDEs. Neural Networks Zixue Xiang, Wei Peng, Wen Yao, Xu Liu, Xiaoya Zhang
2024	J	`jnl`	A physics-driven sensor placement optimization methodology for temperature field reconstruction. CoRR Xu Liu, Wen Yao, Wei Peng, Zhuojia Fu, Zixue Xiang, Xiaoqian Chen
2024	J	`jnl`	An online surrogate-assisted neighborhood search algorithm based on deep neural network for thermal layout optimization. Complex Intell. Syst. Jiliang Zhao, Handing Wang, Wen Yao, Wei Peng, Zhiqiang Gong
2024	B	`conf`	Empirical Study on Averaging-based Noise-Tolerant Methods for Expensive Combinatorial Optimization. CEC Shulei Liu, Handing Wang, Wen Yao, Wei Peng, Jingjing Ma
2024	B	`conf`	HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling. IJCNN Yifan Hao, Yang Yang, Junru Song, Wei Peng, Weien Zhou, Tingsong Jiang, Wen Yao
2024	J	`jnl`	HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling. CoRR Yifan Hao, Yang Yang, Junru Song, Wei Peng, Weien Zhou, Tingsong Jiang, Wen Yao
2024	A*	`conf`	MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders. AAAI Junru Song, Yang Yang, Wei Peng, Weien Zhou, Feifei Wang, Wen Yao
2024	J	`jnl`	Rapidly Evolving Soft Robots via Action Inheritance. IEEE Trans. Evol. Comput. Shulei Liu, Wen Yao, Handing Wang, Wei Peng, Yang Yang
2024	J	`jnl`	Solving spatiotemporal partial differential equations with Physics-informed Graph Neural Network. Appl. Soft Comput. Zixue Xiang, Wei Peng, Wen Yao, Xu Liu, Xiaoya Zhang
2024	J	`jnl`	Surrogate-Assisted Environmental Selection for Fast Hypervolume-Based Many-Objective Optimization. IEEE Trans. Evol. Comput. Shulei Liu, Handing Wang, Wen Yao, Wei Peng
2024	J	`jnl`	Surrogate-assisted evolutionary algorithms for expensive combinatorial optimization: a survey. Complex Intell. Syst. Shulei Liu, Handing Wang, Wei Peng, Wen Yao
2023	—	`conf`	A Method for Flow Field Reconstruction based on Fourier Neural Operator Network. ICCAI Weijie Yao, Wei Peng, Xiaoya Zhang, Wen Yao
2023	J	`jnl`	Bayesian physics-informed extreme learning machine for forward and inverse PDE problems with noisy data. Neurocomputing Xu Liu, Wen Yao, Wei Peng, Weien Zhou
2023	J	`jnl`	Joint deep reversible regression model and physics-informed unsupervised learning for temperature field reconstruction. Eng. Appl. Artif. Intell. Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao
2022	J	`jnl`	A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification. IEEE Trans. Evol. Comput. Shulei Liu, Handing Wang, Wei Peng, Wen Yao
2022	J	`jnl`	A novel meta-learning initialization method for physics-informed neural networks. Neural Comput. Appl. Xu Liu, Xiaoya Zhang, Wei Peng, Weien Zhou, Wen Yao
2022	J	`jnl`	A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain. CoRR Kairui Bao, Wen Yao, Xiaoya Zhang, Wei Peng, Yu Li
2022	J	`jnl`	Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data. CoRR Xu Liu, Wen Yao, Wei Peng, Weien Zhou
2022	—	`conf`	Deep Learning Based Thermal Stress and Deformation Analysis of Satellites. MMBD Zeyu Cao, Wei Peng, Xiaoya Zhang, Wen Yao
2022	J	`jnl`	Inertial proximal incremental aggregated gradient method with linear convergence guarantees. Math. Methods Oper. Res. Xiaoya Zhang, Wei Peng, Hui Zhang
2022	J	`jnl`	Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites. CoRR Zeyu Cao, Wen Yao, Wei Peng, Xiaoya Zhang, Kairui Bao
2022	J	`jnl`	RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks. CoRR Wei Peng, Weien Zhou, Xiaoya Zhang, Wen Yao, Zheliang Liu
2022	J	`jnl`	RBF-MGN: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network. CoRR Zixue Xiang, Wei Peng, Wen Yao
2022	J	`jnl`	Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks. CoRR Wei Peng, Wen Yao, Weien Zhou, Xiaoya Zhang, Weijie Yao
2022	J	`jnl`	Self-adaptive loss balanced Physics-informed neural networks. Neurocomputing Zixue Xiang, Wei Peng, Xu Liu, Wen Yao
2022	J	`jnl`	Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks. CoRR Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao
2022	J	`jnl`	Temperature field inversion of heat-source systems via physics-informed neural networks. Eng. Appl. Artif. Intell. Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao
2021	J	`jnl`	A novel meta-learning initialization method for physics-informed neural networks. CoRR Xu Liu, Xiaoya Zhang, Wei Peng, Weien Zhou, Wen Yao
2021	J	`jnl`	IDRLnet: A Physics-Informed Neural Network Library. CoRR Wei Peng, Jun Zhang, Weien Zhou, Xiaoyu Zhao, Wen Yao, Xiaoqian Chen
2021	J	`jnl`	Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems. CoRR Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao
2021	J	`jnl`	Proximal-Like Incremental Aggregated Gradient Method with Linear Convergence Under Bregman Distance Growth Conditions. Math. Oper. Res. Hui Zhang, Yu-Hong Dai, Lei Guo, Wei Peng
2020	J	`jnl`	Accelerating Physics-Informed Neural Network Training with Prior Dictionaries. CoRR Wei Peng, Weien Zhou, Jun Zhang, Wen Yao
2020	J	`jnl`	Global complexity analysis of inexact successive quadratic approximation methods for regularized optimization under mild assumptions. J. Glob. Optim. Wei Peng, Hui Zhang, Xiaoya Zhang, Lizhi Cheng
2020	J	`jnl`	Training GANs with centripetal acceleration. Optim. Methods Softw. Wei Peng, Yu-Hong Dai, Hui Zhang, Lizhi Cheng
2019	J	`jnl`	Nonconvex Proximal Incremental Aggregated Gradient Method with Linear Convergence. J. Optim. Theory Appl. Wei Peng, Hui Zhang, Xiaoya Zhang
2019	J	`jnl`	Training GANs with Centripetal Acceleration. CoRR Wei Peng, Yuhong Dai, Hui Zhang, Lizhi Cheng
2018	J	`jnl`	A general scheme for log-determinant computation of matrices via stochastic polynomial approximation. Comput. Math. Appl. Wei Peng, Hongxia Wang
2017	—	`conf`	Computing Diagonals of Toeplitz Pentadiagonal Matrix Inverses via Matrix Möbius Transformations. ICNCC Chengcheng Huang, Wei Peng, Housen Li, Lizhi Cheng, Hao Jiang
2015	—	`conf`	Large-Scale Log-Determinant Computation via Weighted L_2 Polynomial Approximation with Prior Distribution of Eigenvalues. HPCA (China) Wei Peng, Hongxia Wang