Stochastic symplectic Runge-Kutta methods for the strong approximation of Hamiltonian systems with additive noise. - Weien Zhou; Jingjing Zhang 003; Jialin Hong; Songhe Song (J. Comput. Appl. Math., 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)

Analysis of the damped nonlinear space-fractional Schrödinger equation. - Jiarui Liang; Songhe Song; Weien Zhou; Hao Fu 001 (Appl. Math. Comput., 2018)

A Deep Learning-Based Method for Heat Source Layout Inverse Design. - Jialiang Sun; Jun Zhang 052; Xiaoya Zhang; Weien Zhou (IEEE Access, 2020)

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

Multisource Selective Transfer Framework in Multiobjective Optimization Problems. - Jun Zhang 052; Weien Zhou; Xianqi Chen; Wen Yao; Lu Cao (IEEE Trans. Evol. Comput., 2020)

A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout. - Xianqi Chen; Xiaoyu Zhao; Zhiqiang Gong; Jun Zhang 052; Weien Zhou; Xiaoqian Chen; Wen Yao (CoRR, 2021)

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)

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)

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 (AAAI, 2022)

Searching for Robust Neural Architectures via Comprehensive and Reliable Evaluation. - Jialiang Sun; Tingsong Jiang; Chao Li 076; Weien Zhou; Xiaoya Zhang; Wen Yao; Xiaoqian Chen (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)

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)

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

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)

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)

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)

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)

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)

A CNN with noise inclined module and denoise framework for hyperspectral image classification. - Zhiqiang Gong; Ping Zhong 001; Wen Yao; Weien Zhou; Jiahao Qi; Panhe Hu (IET Image Process., 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 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., 2023)

Adversarial patch attacks against aerial imagery object detectors. - Guijian Tang; Tingsong Jiang; Weien Zhou; Chao Li; Wen Yao; Yong Zhao (Neurocomputing, 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)

The Constrained Niching Differential Evolution Algorithm for Satellite Layout Optimization Design. - Zhongneng Zhang; Xianqi Chen; Yufeng Xia; Wen Yao; Weien Zhou; Yu Li; Bingxiao Du (CEC, 2024)

PapMOT: Exploring Adversarial Patch Attack Against Multiple Object Tracking. - Jiahuan Long; Tingsong Jiang; Wen Yao; Shuai Jia; Weijia Zhang; Weien Zhou; Chao Ma; Xiaoqian Chen (ECCV (51), 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)

An invisible, robust copyright protection method for DNN-generated content. - Donghua Wang; Wen Yao; Tingsong Jiang; Weien Zhou; Lang Lin; Xiaoqian Chen (Neural Networks, 2024)

Mixed integer programming modeling for the satellite three-dimensional layout optimization problem from two component assignment perspectives. - Yufeng Xia; Xianqi Chen; Zhijia Liu; Weien Zhou; Wen Yao; Zhongneng Zhang; Chenxi Wang (Expert Syst. Appl., 2025)

Multi-scale topology optimization of multi-material heterogeneous microstructures based on deep learning. - Jiaxiang Luo; Yu Li; Weien Zhou; Zeyu Zhang; Wen Yao (J. Comput. Des. Eng., 2025)

Gradient-based sparse voxel attacks on point cloud object detection. - Junqi Wu 002; Wen Yao; Shuai Jia; Tingsong Jiang; Weien Zhou; Chao Ma 004; Xiaoqian Chen (Pattern Recognit., 2025)

Self-adaptive hybrid uncertainty integration method via deterministic analytic formula. - Yingchun Xu; Xiaohu Zheng; Xiaoya Zhang; Weien Zhou; Wen Yao (Reliab. Eng. Syst. Saf., 2025)

Heat source layout optimization using automatic deep learning surrogate and multimodal neighborhood search algorithm. - Jialiang Sun; Xiaohu Zheng; Wen Yao; Xiaoya Zhang; Weien Zhou; Xiaoqian Chen (Ann. Oper. Res., 2025)