Weien Zhou

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 34

Top Topics

Robust Regression

Generation Method

Top Venues

Eng. Appl. Artif. Intell.

Publications

Junru Song, Yang Yang, Wei Peng, Weien Zhou, Feifei Wang, Wen Yao
MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders. AAAI (2024)
Donghua Wang, Wen Yao, Tingsong Jiang, Weien Zhou, Lang Lin, Xiaoqian Chen
An invisible, robust copyright protection method for DNN-generated content. Neural Networks 177 (2024)
Zhongneng Zhang, Xianqi Chen, Yufeng Xia, Wen Yao, Weien Zhou, Yu Li, Bingxiao Du
The Constrained Niching Differential Evolution Algorithm for Satellite Layout Optimization Design. CEC (2024)
Guijian Tang, Wen Yao, Tingsong Jiang, Weien Zhou, Yang Yang, Donghua Wang
Natural Weather-Style Black-Box Adversarial Attacks Against Optical Aerial Detectors. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Yunyang Zhang, Zhiqiang Gong, Weien Zhou, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network. CoRR (2023)
Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao, Weien Zhou, Wen Yao
A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems. Sci. China Inf. Sci. 66 (5) (2023)
Guijian Tang, Tingsong Jiang, Weien Zhou, Chao Li, Wen Yao, Yong Zhao
Adversarial patch attacks against aerial imagery object detectors. Neurocomputing 537 (2023)
Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao
Joint deep reversible regression model and physics-informed unsupervised learning for temperature field reconstruction. Eng. Appl. Artif. Intell. 118 (2023)
Xu Liu, Wen Yao, Wei Peng, Weien Zhou
Bayesian physics-informed extreme learning machine for forward and inverse PDE problems with noisy data. Neurocomputing 549 (2023)
Yunyang Zhang, Zhiqiang Gong, Weien Zhou, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network. Eng. Appl. Artif. Intell. 123 (Part B) (2023)
Donghua Wang, Wen Yao, Tingsong Jiang, Weien Zhou, Lang Lin, Xiaoqian Chen
A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based Applications. CoRR (2023)
Zhiqiang Gong, Ping Zhong, Wen Yao, Weien Zhou, Jiahao Qi, Panhe Hu
A CNN with noise inclined module and denoise framework for hyperspectral image classification. IET Image Process. 17 (9) (2023)
Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Weien Zhou, Wen Yao, Yunyang Zhang
RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator. CoRR (2023)
Jialiang Sun, Tingsong Jiang, Chao Li, Weien Zhou, Xiaoya Zhang, Wen Yao, Xiaoqian Chen
Searching for Robust Neural Architectures via Comprehensive and Reliable Evaluation. CoRR (2022)
Xu Liu, Wen Yao, Wei Peng, Weien Zhou
Bayesian Physics-Informed Extreme Learning Machine for Forward and Inverse PDE Problems with Noisy Data. CoRR (2022)
Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao
Temperature field inversion of heat-source systems via physics-informed neural networks. Eng. Appl. Artif. Intell. 113 (2022)
Jialiang Sun, Xiaohu Zheng, Wen Yao, Xiaoya Zhang, Weien Zhou
Heat Source Layout Optimization Using Automatic Deep Learning Surrogate Model and Multimodal Neighborhood Search Algorithm. CoRR (2022)
Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Zhiqiang Gong, Xiaoya Zhang, Wen Yao, Xiaoqian Chen
FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack. AAAI (2022)
Wei Peng, Weien Zhou, Xiaoya Zhang, Wen Yao, Zheliang Liu
RANG: A Residual-based Adaptive Node Generation Method for Physics-Informed Neural Networks. CoRR (2022)
Xu Liu, Wei Peng, Zhiqiang Gong, Weien Zhou, Wen Yao
Temperature Field Inversion of Heat-Source Systems via Physics-Informed Neural Networks. CoRR (2022)
Xu Liu, Xiaoya Zhang, Wei Peng, Weien Zhou, Wen Yao
A novel meta-learning initialization method for physics-informed neural networks. Neural Comput. Appl. 34 (17) (2022)
Wei Peng, Wen Yao, Weien Zhou, Xiaoya Zhang, Weijie Yao
Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks. CoRR (2022)
Xu Liu, Xiaoya Zhang, Wei Peng, Weien Zhou, Wen Yao
A novel meta-learning initialization method for physics-informed neural networks. CoRR (2021)
Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao, Weien Zhou, Wen Yao
TFRD: A Benchmark Dataset for Research on Temperature Field Reconstruction of Heat-Source Systems. CoRR (2021)
Wei Peng, Jun Zhang, Weien Zhou, Xiaoyu Zhao, Wen Yao, Xiaoqian Chen
IDRLnet: A Physics-Informed Neural Network Library. CoRR (2021)
DonghuaWang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Xiaoya Zhang, Zhiqiang Gong, Wen Yao, Xiaoqian Chen
FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack. CoRR (2021)
Xianqi Chen, Xiaoyu Zhao, Zhiqiang Gong, Jun Zhang, Weien Zhou, Xiaoqian Chen, Wen Yao
A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout. CoRR (2021)
Zhiqiang Gong, Weien Zhou, Jun Zhang, Wei Peng, Wen Yao
Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems. CoRR (2021)
Wei Peng, Weien Zhou, Jun Zhang, Wen Yao
Accelerating Physics-Informed Neural Network Training with Prior Dictionaries. CoRR (2020)
Jialiang Sun, Jun Zhang, Xiaoya Zhang, Weien Zhou
A Deep Learning-Based Method for Heat Source Layout Inverse Design. IEEE Access 8 (2020)
Jun Zhang, Weien Zhou, Xianqi Chen, Wen Yao, Lu Cao
Multisource Selective Transfer Framework in Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 24 (3) (2020)
Jiarui Liang, Songhe Song, Weien Zhou, Hao Fu
Analysis of the damped nonlinear space-fractional Schrödinger equation. Appl. Math. Comput. 320 (2018)
Weien Zhou, Jingjing Zhang, Jialin Hong, Songhe Song
Stochastic symplectic Runge-Kutta methods for the strong approximation of Hamiltonian systems with additive noise. J. Comput. Appl. Math. 325 (2017)
Jianbo Cui, Jialin Hong, Zhihui Liu, Weien Zhou
Stochastic symplectic and multi-symplectic methods for nonlinear Schrödinger equation with white noise dispersion. J. Comput. Phys. 342 (2017)