Weien Zhou

According to our database, Weien Zhou authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders.

Junru Song, Yang Yang, Wei Peng, Weien Zhou, Feifei Wang, Wen Yao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Bayesian physics-informed extreme learning machine for forward and inverse PDE problems with noisy data.

Xu Liu, Wen Yao, Wei Peng, Weien Zhou

Neurocomputing, September, 2023

Adversarial patch attacks against aerial imagery object detectors.

Guijian Tang, Tingsong Jiang, Weien Zhou, Chao Li, Wen Yao, Yong Zhao

Neurocomputing, June, 2023

A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems.

Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao, Weien Zhou, Wen Yao

Sci. China Inf. Sci., May, 2023

Natural Weather-Style Black-Box Adversarial Attacks Against Optical Aerial Detectors.

Guijian Tang, Wen Yao, Tingsong Jiang, Weien Zhou, Yang Yang, Donghua Wang

IEEE Trans. Geosci. Remote. Sens., 2023

A CNN with noise inclined module and denoise framework for hyperspectral image classification.

Zhiqiang Gong, Ping Zhong, Wen Yao, Weien Zhou, Jiahao Qi, Panhe Hu

IET Image Process., 2023

Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network.

Yunyang Zhang, Zhiqiang Gong, Weien Zhou, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao

Eng. Appl. Artif. Intell., 2023

Joint deep reversible regression model and physics-informed unsupervised learning for temperature field reconstruction.

Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao

Eng. Appl. Artif. Intell., 2023

A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based Applications.

Donghua Wang, Wen Yao, Tingsong Jiang, Weien Zhou, Lang Lin, Xiaoqian Chen

CoRR, 2023

RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator.

Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Weien Zhou, Wen Yao, Yunyang Zhang

CoRR, 2023

2022

A novel meta-learning initialization method for physics-informed neural networks.

Xu Liu, Xiaoya Zhang, Wei Peng, Weien Zhou, Wen Yao

Neural Comput. Appl., 2022

Temperature field inversion of heat-source systems via physics-informed neural networks.

Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao

Eng. Appl. Artif. Intell., 2022

Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks.

Wei Peng, Wen Yao, Weien Zhou, Xiaoya Zhang, Weijie Yao

CoRR, 2022

Heat Source Layout Optimization Using Automatic Deep Learning Surrogate Model and Multimodal Neighborhood Search Algorithm.

Jialiang Sun, Xiaohu Zheng, Wen Yao, Xiaoya Zhang, Weien Zhou

CoRR, 2022

RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks.

Wei Peng, Weien Zhou, Xiaoya Zhang, Wen Yao, Zheliang Liu

CoRR, 2022

Searching for Robust Neural Architectures via Comprehensive and Reliable Evaluation.

Jialiang Sun, Tingsong Jiang, Chao Li, Weien Zhou, Xiaoya Zhang, Wen Yao, Xiaoqian Chen

CoRR, 2022

FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack.

Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Zhiqiang Gong, Xiaoya Zhang, Wen Yao, Xiaoqian Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

TFRD: A Benchmark Dataset for Research on Temperature Field Reconstruction of Heat-Source Systems.

Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao, Weien Zhou, Wen Yao

CoRR, 2021

IDRLnet: A Physics-Informed Neural Network Library.

Wei Peng, Jun Zhang, Weien Zhou, Xiaoyu Zhao, Wen Yao, Xiaoqian Chen

CoRR, 2021

Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems.

Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao

CoRR, 2021

A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout.

Xianqi Chen, Xiaoyu Zhao, Zhiqiang Gong, Jun Zhang, Weien Zhou, Xiaoqian Chen, Wen Yao

CoRR, 2021

2020

Multisource Selective Transfer Framework in Multiobjective Optimization Problems.

Jun Zhang, Weien Zhou, Xianqi Chen, Wen Yao, Lu Cao

IEEE Trans. Evol. Comput., 2020

Accelerating Physics-Informed Neural Network Training with Prior Dictionaries.

Wei Peng, Weien Zhou, Jun Zhang, Wen Yao

CoRR, 2020

A Deep Learning-Based Method for Heat Source Layout Inverse Design.

Jialiang Sun, Jun Zhang, Xiaoya Zhang, Weien Zhou

IEEE Access, 2020

2018

Analysis of the damped nonlinear space-fractional Schrödinger equation.

Jiarui Liang, Songhe Song, Weien Zhou, Hao Fu

Appl. Math. Comput., 2018

2017

Stochastic symplectic and multi-symplectic methods for nonlinear Schrödinger equation with white noise dispersion.

Jianbo Cui, Jialin Hong, Zhihui Liu, Weien Zhou

J. Comput. Phys., 2017

Stochastic symplectic Runge-Kutta methods for the strong approximation of Hamiltonian systems with additive noise.

Weien Zhou, Jingjing Zhang, Jialin Hong, Songhe Song

J. Comput. Appl. Math., 2017