A Sequential Radial Basis Function Neural Network Modeling Method Based on Partial Cross Validation Error Estimation. - Wen Yao 001; Xiaoqian Chen (ICNC (3), 2009)

A gradient-based sequential radial basis function neural network modeling method. - Wen Yao 001; Xiaoqian Chen; Wencai Luo (Neural Comput. Appl., 2009)

Euclidean distance and second derivative based widths optimization of radial basis function neural networks. - Wen Yao 001; Xiaoqian Chen; Michel van Tooren; Yuexing Wei (IJCNN, 2010)

Concurrent Subspace Width Optimization Method for RBF Neural Network Modeling. - Wen Yao 001; Xiaoqian Chen; Yong Zhao; Michel van Tooren (IEEE Trans. Neural Networks Learn. Syst., 2012)

An enhanced unified uncertainty analysis approach based on first order reliability method with single-level optimization. - Wen Yao 001; Xiaoqian Chen; Yiyong Huang; Michel van Tooren (Reliab. Eng. Syst. Saf., 2013)

Application of multi-objective alliance algorithm to multidisciplinary design optimization under uncertainty. - Xiaoqian Chen; Xingzhi Hu; Valerio Lattarulo; Wen Yao 001; Yong Zhao (CEC, 2016)

Ensemble of surrogates based on error classification by unsupervised learning. - Yi Zhang; Xiaoqian Chen; Ning Wang 058; Wen Yao 001; Bingxiao Du (CEC, 2016)

The Hybrid Algorithms Based on Differential Evolution for Satellite Layout Optimization Design. - Xianqi Chen; Wen Yao 001; Yong Zhao; Xiaoqian Chen; Jun Zhang 052; Yazhong Luo (CEC, 2018)

Satellite Lifetime Optimization Based on Discrete Cross Entropy Method. - Wen Yao 001; Zhengyang Ma; Yazhong Luo; Xiaoqian Chen; Longqi Yang (CEC, 2018)

Multistate Satellite System Reliability Optimization Based on Improved Compression Inference Algorithm and Bayesian Network. - Xiaohu Zheng; Xianqi Chen; Wen Yao 001; Xiaoqian Chen; Longqi Yang; Yazhong Luo (CEC, 2018)

Fast Accessibility Evaluation of the Main-Belt Asteroids Manned Exploration Mission Based on a Learning Method. - Yue-he Zhu; Yazhong Luo; Wen Yao 001 (CEC, 2018)

Satellite System Design Optimization Based on Bayesian Melding of Multi-Level Multi-Source Lifetime Information. - Yingchun Xu; Wen Yao 001; Xiaohu Zheng; Xiaoqian Chen (IEEE Access, 2019)

Complex Satellite Lifetime Optimization Based on Bayesian Network Reliability Compression Inference Algorithm. - Xiaohu Zheng; Wen Yao 001; Yingchun Xu; Xiaoqian Chen (IEEE Access, 2019)

Fuzzy Linear regression based on approximate Bayesian computation. - Ning Wang 058; Marek Z. Reformat; Wen Yao 001; Yong Zhao; Xiaoqian Chen (Appl. Soft Comput., 2020)

Accelerating Physics-Informed Neural Network Training with Prior Dictionaries. - Wei Peng 010; Weien Zhou; Jun Zhang 052; Wen Yao 001 (CoRR, 2020)

An iterative information integration method for multi-level system reliability analysis based on Bayesian Melding Method. - Yingchun Xu; Wen Yao 001; Xiaohu Zheng; Xiaoqian Chen (Reliab. Eng. Syst. Saf., 2020)

Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part I - Independent systems. - Xiaohu Zheng; Wen Yao 001; Yingchun Xu; Xiaoqian Chen (Reliab. Eng. Syst. Saf., 2020)

Multisource Selective Transfer Framework in Multiobjective Optimization Problems. - Jun Zhang 052; Weien Zhou; Xianqi Chen; Wen Yao 001; 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 002; Zhiqiang Gong; Jun Zhang 052; Weien Zhou; Xiaoqian Chen; Wen Yao 001 (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 001 (CoRR, 2021)

IDRLnet: A Physics-Informed Neural Network Library. - Wei Peng 010; Jun Zhang 052; Weien Zhou; Xiaoyu Zhao 002; Wen Yao 001; Xiaoqian Chen (CoRR, 2021)

Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks. - Yufeng Xia; Jun Zhang 052; Zhiqiang Gong; Tingsong Jiang; Wen Yao 001 (CoRR, 2021)

Mini-data-driven Deep Arbitrary Polynomial Chaos Expansion for Uncertainty Quantification. - Xiaohu Zheng; Jun Zhang 052; Ning Wang 058; Guijian Tang; Wen Yao 001 (CoRR, 2021)

TFRD: A Benchmark Dataset for Research on Temperature Field Reconstruction of Heat-Source Systems. - Xiaoqian Chen; Zhiqiang Gong; Xiaoyu Zhao 002; Weien Zhou; Wen Yao 001 (CoRR, 2021)

FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack. - Donghua Wang 001; Tingsong Jiang; Jialiang Sun; Weien Zhou; Zhiqiang Gong; Xiaoya Zhang; Wen Yao 001; Xiaoqian Chen (AAAI, 2022)

Semi-supervised Semantic Segmentation with Uncertainty-Guided Self Cross Supervision. - Yunyang Zhang; Zhiqiang Gong; Xiaoyu Zhao 002; Xiaohu Zheng; Wen Yao 001 (ACCV (7), 2022)

Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction. - Xiaohu Zheng; Wen Yao 001; Zhiqiang Gong; Yunyang Zhang; Xiaoyu Zhao 002; Tingsong Jiang (IJCNN, 2022)

Improve Calibration Robustness of Temperature Scaling by Penalizing Output Entropy. - Jun Zhang 052; Wen Yao 001; Xiaoqian Chen; Ling Feng (ISMIS, 2022)

Understanding Negative Calibration from Entropy Perspective. - Jun Zhang 052; Wen Yao 001; Xiaoqian Chen; Ling Feng (ISMIS, 2022)

Deep Learning Based Thermal Stress and Deformation Analysis of Satellites. - Zeyu Cao; Wei Peng 010; Xiaoya Zhang; Wen Yao 001 (MMBD, 2022)

A surrogate-assisted evolutionary algorithm with hypervolume triggered fidelity adjustment for noisy multiobjective integer programming. - Shulei Liu; Handing Wang; Wen Yao 001 (Appl. Soft Comput., 2022)

A deep learning method based on patchwise training for reconstructing temperature field. - Xingwen Peng; Xingchen Li; Zhiqiang Gong; Xiaoyu Zhao 002; Wen Yao 001 (CoRR, 2022)

Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis. - Xiaohu Zheng; Wen Yao 001; Zhiqiang Gong; Yunyang Zhang; Xiaoya Zhang (CoRR, 2022)

Searching for Robust Neural Architectures via Comprehensive and Reliable Evaluation. - Jialiang Sun; Tingsong Jiang; Chao Li 076; Weien Zhou; Xiaoya Zhang; Wen Yao 001; Xiaoqian Chen (CoRR, 2022)

Semi-supervision semantic segmentation with uncertainty-guided self cross supervision. - Yunyang Zhang; Zhiqiang Gong; Xiaohu Zheng; Xiaoyu Zhao 002; Wen Yao 001 (CoRR, 2022)

A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain. - Kairui Bao; Wen Yao 001; Xiaoya Zhang; Wei Peng 010; Yu Li (CoRR, 2022)

Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part II-Dependent systems. - Xiaohu Zheng; Wen Yao 001; 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 001; Zheliang Liu (CoRR, 2022)

Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network. - Xu Liu 021; Wen Yao 001; Xiaohu Zheng; Yingchun Xu (CoRR, 2022)

A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design. - Jialiang Sun; Wen Yao 001; Tingsong Jiang; Xiaoqian Chen (CoRR, 2022)

Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites. - Zeyu Cao; Wen Yao 001; Wei Peng 010; Xiaoya Zhang; Kairui Bao (CoRR, 2022)

A Survey on Physical Adversarial Attack in Computer Vision. - Donghua Wang 001; Wen Yao 001; Tingsong Jiang; Guijian Tang; Xiaoqian Chen (CoRR, 2022)

Robust Regression with Highly Corrupted Data via Physics Informed Neural Networks. - Wei Peng 010; Wen Yao 001; 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 001 (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 001 (Eng. Appl. Artif. Intell., 2022)

Self-adaptive loss balanced Physics-informed neural networks. - Zixue Xiang; Wei Peng 010; Xu Liu 021; Wen Yao 001 (Neurocomputing, 2022)

A novel meta-learning initialization method for physics-informed neural networks. - Xu Liu 021; Xiaoya Zhang; Wei Peng 010; Weien Zhou; Wen Yao 001 (Neural Comput. Appl., 2022)

Deep Kernel-Based Optimal Control Prediction in Aerospace Missions. - Hongjue Li; Wen Yao 001; Yunfeng Dong; Qing Gao 001; Yue Deng 001 (IEEE Trans. Aerosp. Electron. Syst., 2022)

An Approximated Gradient Sign Method Using Differential Evolution for Black-Box Adversarial Attack. - Chao Li 076; Handing Wang; Jun Zhang 052; Wen Yao 001; Tingsong Jiang (IEEE Trans. Evol. Comput., 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 001 (IEEE Trans. Evol. Comput., 2022)

Disjunctive Fuzzy Neural Networks: A New Splitting-Based Approach to Designing a T-S Fuzzy Model. - Ning Wang 058; Witold Pedrycz; Wen Yao 001; Xiaoqian Chen; Yong Zhao (IEEE Trans. Fuzzy Syst., 2022)

Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification. - Jun Zhang 052; Wen Yao 001; Xiaoqian Chen; Ling Feng (AAAI, 2023)

A Method for Flow Field Reconstruction based on Fourier Neural Operator Network. - Weijie Yao; Wei Peng 010; Xiaoya Zhang; Wen Yao 001 (ICCAI, 2023)

RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World. - Donghua Wang 001; Wen Yao 001; Tingsong Jiang; Chao Li 076; Xiaoqian Chen (ICCV, 2023)

Conformal Prediction Enhanced SVMs for Swarm Behavior Classification. - Zepu Xi; Hongbo Chen; Xiaoqian Chen; Wen Yao 001 (IJCNN, 2023)

Swarm Behavior Recognition: Martingales Protected Paradigm. - Zepu Xi; Hongbo Chen; Xiaoqian Chen; Wen Yao 001 (IJCNN, 2023)

A Unified Framework of Deep Neural Networks and Gappy Proper Orthogonal Decomposition for Global Field Reconstruction. - Xiaoyu Zhao 002; Zhiqiang Gong; Xiaoqian Chen; Wen Yao 001; Yunyang Zhang (IJCNN, 2023)

Distributions-free Martingales Test Distributions-shift. - Zepu Xi; Hongbo Chen; Xiaoqian Chen; Wen Yao 001 (INNS DLIA@IJCNN, 2023)

Bayesian evolutionary optimization for crafting high-quality adversarial examples with limited query budget. - Chao Li 076; Wen Yao 001; Handing Wang; Tingsong Jiang; Xiaoya Zhang (Appl. Soft Comput., 2023)

RBUE: a ReLU-based uncertainty estimation method for convolutional neural networks. - Yufeng Xia; Jun Zhang 052; Zhiqiang Gong; Tingsong Jiang; Wen Yao 001 (Complex Intell. Syst., 2023)

RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator. - Xiaoyu Zhao 002; Xiaoqian Chen; Zhiqiang Gong; Weien Zhou; Wen Yao 001; Yunyang Zhang (CoRR, 2023)

Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator. - Yanfang Lyu; Xiaoyu Zhao 002; Zhiqiang Gong; Xiao Kang; Wen Yao 001 (CoRR, 2023)

A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based Applications. - Donghua Wang 001; Wen Yao 001; Tingsong Jiang; Weien Zhou; Lang Lin; Xiaoqian Chen (CoRR, 2023)

Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image Classification. - Zhiqiang Gong; Xian Zhou 003; Wen Yao 001 (CoRR, 2023)

Adversarial Examples in the Physical World: A Survey. - Jiakai Wang; Donghua Wang 001; Jin Hu; Siyang Wu; Tingsong Jiang; Wen Yao 001; Aishan Liu; Xianglong Liu 001 (CoRR, 2023)

Universal Perturbation-based Secret Key-Controlled Data Hiding. - Donghua Wang 001; Wen Yao 001; Tingsong Jiang; 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 001 (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 002; Xiaohu Zheng; Wen Yao 001 (Eng. Appl. Artif. Intell., 2023)

Physics-informed convolutional neural networks for temperature field prediction of heat source layout without labeled data. - Xiaoyu Zhao 002; Zhiqiang Gong; Yunyang Zhang; Wen Yao 001; Xiaoqian Chen (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 001; Weien Zhou; Jiahao Qi; Panhe Hu (IET Image Process., 2023)

Differential evolution based dual adversarial camouflage: Fooling human eyes and object detectors. - Jialiang Sun; Wen Yao 001; Tingsong Jiang; Donghua Wang 001; Xiaoqian Chen (Neural Networks, 2023)

Adaptive momentum variance for attention-guided sparse adversarial attacks. - Chao Li 076; Wen Yao 001; Handing Wang; Tingsong Jiang (Pattern Recognit., 2023)

Deep adaptive arbitrary polynomial chaos expansion: A mini-data-driven semi-supervised method for uncertainty quantification. - Wen Yao 001; Xiaohu Zheng; Jun Zhang 052; Ning Wang 058; Guijian Tang (Reliab. Eng. Syst. Saf., 2023)

Natural Weather-Style Black-Box Adversarial Attacks Against Optical Aerial Detectors. - Guijian Tang; Wen Yao 001; Tingsong Jiang; Weien Zhou; Yang Yang 123; Donghua Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Bidirectional Data-Driven Trajectory Prediction for Intelligent Maritime Traffic. - Ye Xiao; Xingchen Li; Wen Yao 001; Jin Chen; Yupeng Hu 004 (IEEE Trans. Intell. Transp. Syst., 2023)

A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems. - Xiaoqian Chen; Zhiqiang Gong; Xiaoyu Zhao 002; Weien Zhou; Wen Yao 001 (Sci. China Inf. Sci., 2023)

Adversarial patch attacks against aerial imagery object detectors. - Guijian Tang; Tingsong Jiang; Weien Zhou; Chao Li 076; Wen Yao 001; Yong Zhao (Neurocomputing, 2023)

Reliability analysis of heat source layout temperature field prediction considering uncertainty in deep neural network surrogate models. - Yufeng Xia; Wen Yao 001; Xiaohu Zheng; Zhiqiang Gong (Qual. Reliab. Eng. Int., 2023)

A multi-objective memetic algorithm for automatic adversarial attack optimization design. - Jialiang Sun; Wen Yao 001; Tingsong Jiang; Xiaoqian Chen (Neurocomputing, 2023)

Bayesian physics-informed extreme learning machine for forward and inverse PDE problems with noisy data. - Xu Liu 021; Wen Yao 001; 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 001 (AAAI, 2024)

QRPatch: A Deceptive Texture-Based Black-Box Adversarial Attacks with Genetic Algorithm. - Chao Li 076; Wen Yao 001; Handing Wang; Tingsong Jiang; Donghua Wang 001; Jialiang Sun (CEC, 2024)

Empirical Study on Averaging-based Noise-Tolerant Methods for Expensive Combinatorial Optimization. - Shulei Liu; Handing Wang; Wen Yao 001; Wei Peng 010; Jingjing Ma (CEC, 2024)

PapMOT: Exploring Adversarial Patch Attack Against Multiple Object Tracking. - Jiahuan Long; Tingsong Jiang; Wen Yao 001; Shuai Jia; Weijia Zhang; Weien Zhou; Chao Ma 004; 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 001 (IJCNN, 2024)

Hybrid digital twin for satellite temperature field perception and attitude control. - Yang Xie; Wen Yao 001; Xingchen Li; Ning Wang 058; Xiaohu Zheng; Xiaoqian Chen (Adv. Eng. Informatics, 2024)

Implicitly physics-informed multi-fidelity physical field data fusion method based on Taylor modal decomposition. - Ruofan Zhang; Xingchen Li; Wen Yao 001; Xiaohu Zheng; Ning Wang 058; Jialiang Sun (Adv. Eng. Informatics, 2024)

Time-varying group formation tracking for nonlinear multi-agent systems under switching topologies. - Xin Cai; Hai Zhu 002; Xiaozhou Zhu; Wen Yao 001 (Appl. Intell., 2024)

Solving spatiotemporal partial differential equations with Physics-informed Graph Neural Network. - Zixue Xiang; Wei Peng 010; Wen Yao 001; Xu Liu 021; Xiaoya Zhang (Appl. Soft Comput., 2024)

A multi-objective particle swarm optimization based on local ideal points. - Yu Zhang 191; Wang Hu 001; Wen Yao 001; Xinyue Li 003; Junjie Hu 004 (Appl. Soft Comput., 2024)

Surrogate-assisted evolutionary algorithms for expensive combinatorial optimization: a survey. - Shulei Liu; Handing Wang; Wei Peng 010; Wen Yao 001 (Complex Intell. Syst., 2024)

Uncertainty guided ensemble self-training for semi-supervised global field reconstruction. - Yunyang Zhang; Zhiqiang Gong; Xiaoyu Zhao 002; Wen Yao 001 (Complex Intell. Syst., 2024)

An online surrogate-assisted neighborhood search algorithm based on deep neural network for thermal layout optimization. - Jiliang Zhao; Handing Wang; Wen Yao 001; Wei Peng 010; Zhiqiang Gong (Complex Intell. Syst., 2024)

Improving the Transferability of Adversarial Examples by Feature Augmentation. - Donghua Wang 001; Wen Yao 001; Tingsong Jiang; Xiaohu Zheng; Junqi Wu 002; Xiaoqian Chen (CoRR, 2024)

A physics-driven sensor placement optimization methodology for temperature field reconstruction. - Xu Liu 021; Wen Yao 001; Wei Peng 010; Zhuojia Fu; Zixue Xiang; Xiaoqian Chen (CoRR, 2024)

A novel PoI temperature prediction method for heat source system based on graph convolutional networks. - Qiao Li; Wen Yao 001; Xingchen Li; Zhiqiang Gong; Xiaohu Zheng (Eng. Appl. Artif. Intell., 2024)

Black-box adversarial patch attacks using differential evolution against aerial imagery object detectors. - Guijian Tang; Wen Yao 001; Chao Li 076; Tingsong Jiang; Shaowu Yang (Eng. Appl. Artif. Intell., 2024)

A hybrid Monte Carlo quantile EMD-LSTM method for satellite in-orbit temperature prediction and data uncertainty quantification. - Yingchun Xu; Wen Yao 001; Xiaohu Zheng; Jingyi Chen (Expert Syst. Appl., 2024)

A hybrid method based on proper orthogonal decomposition and deep neural networks for flow and heat field reconstruction. - Xiaoyu Zhao 002; Xiaoqian Chen; Zhiqiang Gong; Wen Yao 001; Yunyang Zhang (Expert Syst. Appl., 2024)

MultiScale spectral-spatial convolutional transformer for hyperspectral image classification. - Zhiqiang Gong; Xian Zhou 003; Wen Yao 001 (IET Image Process., 2024)

Adversarial patch-based false positive creation attacks against aerial imagery object detectors. - Guijian Tang; Wen Yao 001; Tingsong Jiang; Yong Zhao; Jialiang Sun (Neurocomputing, 2024)

Multi-objective evolutionary search of variable-length composite semantic perturbations. - Jialiang Sun; Wen Yao 001; Tingsong Jiang; Xiaoqian Chen (Inf. Sci., 2024)

Adversarial infrared blocks: A multi-view black-box attack to thermal infrared detectors in physical world. - Chengyin Hu; Weiwen Shi; Tingsong Jiang; Wen Yao 001; Ling Tian; Xiaoqian Chen; Jingzhi Zhou; Wen Li (Neural Networks, 2024)

Adversarial Infrared Curves: An attack on infrared pedestrian detectors in the physical world. - Chengyin Hu; Weiwen Shi; Wen Yao 001; Tingsong Jiang; Ling Tian; Xiaoqian Chen; Wen Li (Neural Networks, 2024)

An invisible, robust copyright protection method for DNN-generated content. - Donghua Wang 001; Wen Yao 001; Tingsong Jiang; Weien Zhou; Lang Lin; Xiaoqian Chen (Neural Networks, 2024)

AdvOps: Decoupling adversarial examples. - Donghua Wang 001; Wen Yao 001; Tingsong Jiang; Xiaoqian Chen (Pattern Recognit., 2024)

Learnable quantile polynomial chaos expansion: An uncertainty quantification method for interval reliability analysis. - Xiaohu Zheng; Wen Yao 001; Zhiqiang Gong; Xiaoya Zhang (Reliab. Eng. Syst. Saf., 2024)

Deep Intrinsic Decomposition With Adversarial Learning for Hyperspectral Image Classification. - Zhiqiang Gong; Jiahao Qi; Ping Zhong 001; Xian Zhou 003; Wen Yao 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

HyperDID: Hyperspectral Intrinsic Image Decomposition With Deep Feature Embedding. - Zhiqiang Gong; Xian Zhou 003; Wen Yao 001; Xiaohu Zheng; Ping Zhong 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Bridge the Spatial Semantic Gap: Multiattention Shape Adaptive Network for Infrared Target Segmentation. - Benyi Yang; Xiaozhou Zhu; Yibing Liu; Jiexin Zhou; Shuaixin Li; Hai Zhu 002; Wen Yao 001 (IEEE Trans. Instrum. Meas., 2024)

Improving Transferability of Universal Adversarial Perturbation With Feature Disruption. - Donghua Wang 001; Wen Yao 001; Tingsong Jiang; Xiaoqian Chen (IEEE Trans. Image Process., 2024)

Contrastive enhancement using latent prototype for few-shot segmentation. - Xiaoyu Zhao 002; Xiaoqian Chen; Zhiqiang Gong; Wen Yao 001; Yunyang Zhang; Xiaohu Zheng (Digit. Signal Process., 2024)

Algorithms for Bayesian network modeling and reliability inference of complex multistate systems with common cause failure. - Xiaohu Zheng; Wen Yao 001; Yingchun Xu; Ning Wang 058 (Reliab. Eng. Syst. Saf., 2024)

Efficient search of comprehensively robust neural architectures via multi-fidelity evaluation. - Jialiang Sun; Wen Yao 001; Tingsong Jiang; Xiaoqian Chen (Pattern Recognit., 2024)

Surrogate-Assisted Environmental Selection for Fast Hypervolume-Based Many-Objective Optimization. - Shulei Liu; Handing Wang; Wen Yao 001; Wei Peng 010 (IEEE Trans. Evol. Comput., 2024)

Multi-Objective Optimization of Dynamic Communication Network for Multi-UAVs System. - Chen Zhang; Wen Yao 001; Yuan Zuo; Jianjun Gui; Chuanfu Zhang (IEEE Trans. Veh. Technol., 2024)

Offline Data-Driven Multiobjective Optimization Evolutionary Algorithm Based on Generative Adversarial Network. - Yu Zhang 191; Wang Hu 001; Wen Yao 001; Lixian Lian; Gary G. Yen (IEEE Trans. Evol. Comput., 2024)

Adversarial attacks in computer vision: a survey. - Chao Li 076; Handing Wang; Wen Yao 001; Tingsong Jiang (J. Membr. Comput., 2024)

Social Behavior Analysis in Exclusive Enterprise Social Networks by FastHAND. - Yang Yang 123; Feifei Wang; Enqiang Zhu; Fei Jiang; Wen Yao 001 (ACM Trans. Knowl. Discov. Data, 2024)

Rapidly Evolving Soft Robots via Action Inheritance. - Shulei Liu; Wen Yao 001; Handing Wang; Wei Peng 010; Yang Yang 123 (IEEE Trans. Evol. Comput., 2024)

Robust SAM: On the Adversarial Robustness of Vision Foundation Models. - Jiahuan Long; Zhengqin Xu; Tingsong Jiang; Wen Yao 001; Shuai Jia; Chao Ma 004; Xiaoqian Chen (AAAI, 2025)

Online Resilient Cooperative Coverage Path Planning Using Graph Neural Networks. - Zhengyu Tang; Hai Zhu 002; Xiaozhou Zhu; Wen Yao 001 (ICIC (14), 2025)

Hybrid Regularization Improves Diffusion-based Inverse Problem Solving. - Hongkun Dou; Zeyu Li; Jinyang Du; Lijun Yang; Wen Yao 001; Yue Deng 001 (ICLR, 2025)

CDUPatch: Color-Driven Universal Adversarial Patch Attack for Dual-Modal Visible-Infrared Detectors. - Jiahuan Long; Wen Yao 001; Tingsong Jiang; Jiacheng Hou; Shuai Jia; Junqi Wu 002; Xiaoya Zhang; Xiaohu Zheng; Chao Ma 004 (ACM Multimedia, 2025)

Two-stage optimized unified adversarial patch for attacking visible-infrared cross-modal detectors in the physical world. - Chengyin Hu; Weiwen Shi; Wen Yao 001; Tingsong Jiang; Ling Tian; Wen Li (Appl. Soft Comput., 2025)

A multi-objective optimization framework based on information sharing for serially connected robot design. - Jiliang Zhao; Wei Peng 010; Handing Wang; Wen Yao 001 (Complex Intell. Syst., 2025)

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 001; Zhongneng Zhang; Chenxi Wang (Expert Syst. Appl., 2025)

Fuzzy treed Gaussian process for nonstationary regression with large-scale datasets. - Wen Yao 001; Ning Wang 058; Xingchen Li (Knowl. Based Syst., 2025)

Physics-informed Neural Implicit Flow neural network for parametric PDEs. - Zixue Xiang; Wei Peng 010; Wen Yao 001; Xu Liu 021; Xiaoya Zhang (Neural Networks, 2025)

Gradient-based sparse voxel attacks on point cloud object detection. - Junqi Wu 002; Wen Yao 001; Shuai Jia; Tingsong Jiang; Weien Zhou; Chao Ma 004; Xiaoqian Chen (Pattern Recognit., 2025)

A generic quality and accuracy driven uncertainty quantification framework for reliability analysis. - Yingchun Xu; Wen Yao 001; Xiaohu Zheng; Zhiqiang Gong; Lei Yan; Na Xu (Reliab. Eng. Syst. Saf., 2025)

Image-to-Image Bayesian Flow Networks With Structurally Informative Priors. - Hongkun Dou; Jinyang Du; Xingyu Jiang; Hongjue Li; Wen Yao 001; Yue Deng 001 (IEEE Trans. Image Process., 2025)

Optimizing Latent Variables in Integrating Transfer and Query Based Attack Framework. - Chao Li 076; Tingsong Jiang; Handing Wang; Wen Yao 001; Donghua Wang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models. - Jiahuan Long; Tingsong Jiang; Wen Yao 001; Yizhe Xiong; Zhengqin Xu; Shuai Jia; Chao Ma 004 (CoRR, 2025)

CDUPatch: Color-Driven Universal Adversarial Patch Attack for Dual-Modal Visible-Infrared Detectors. - Jiahuan Long; Wen Yao 001; Tingsong Jiang; Chao Ma 004 (CoRR, 2025)

Heat source layout optimization using automatic deep learning surrogate and multimodal neighborhood search algorithm. - Jialiang Sun; Xiaohu Zheng; Wen Yao 001; Xiaoya Zhang; Weien Zhou; Xiaoqian Chen (Ann. Oper. Res., 2025)

FR-Mamba: Time-Series Physical Field Reconstruction Based on State Space Model. - Jiahuan Long; Wenzhe Zhang; Ning Wang 058; Tingsong Jiang; Wen Yao 001 (CoRR, 2025)

${A^{3}D}$A3D: A Platform of Searching for Robust Neural Architectures and Efficient Adversarial Attacks. - Jialiang Sun; Wen Yao 001; Tingsong Jiang; Chao Li 076; Xiaoqian Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Score-Based Neural Processes. - Hongkun Dou; Junzhe Lu 001; Zeyu Li; Xiaoqing Zhong; Wen Yao 001; Lijun Yang; Yue Deng 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Universal Multi-View Black-Box Attack Against Object Detectors via Layout Optimization. - Donghua Wang 001; Wen Yao 001; Tingsong Jiang; Chao Li 076; Xiaoqian Chen (IEEE Trans. Circuits Syst. Video Technol., 2025)

High-Dimensional Hyperparameter Optimization via Adjoint Differentiation. - Hongkun Dou; Hongjue Li; Jinyang Du; Leyuan Fang; Qing Gao 001; Yue Deng 001; Wen Yao 001 (IEEE Trans. Artif. Intell., 2025)

Eva-VLA: Evaluating Vision-Language-Action Models' Robustness Under Real-World Physical Variations. - Hanqing Liu; Jiahuan Long; Junqi Wu 002; Jiacheng Hou; Huili Tang; Tingsong Jiang; Weien Zhou; Wen Yao 001 (CoRR, 2025)

Improving the Transferability of Adversarial Examples by Feature Augmentation. - Donghua Wang 001; Wen Yao 001; Tingsong Jiang; Xiaohu Zheng; Junqi Wu 002 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Thermally Activated Dual-Modal Adversarial Clothing against AI Surveillance Systems. - Jiahuan Long; Tingsong Jiang; Hanqing Liu; Chao Ma 004; Wen Yao 001 (CoRR, 2025)

Learning to Reconstruct Temperature Field from Sparse Observations with Implicit Physics Priors. - Shihang Li; Zhiqiang Gong; Weien Zhou; Yue Gao; Wen Yao 001 (CoRR, 2025)

SynergyWarpNet: Attention-Guided Cooperative Warping for Neural Portrait Animation. - Shihang Li; Zhiqiang Gong; Minming Ye; Yue Gao; Wen Yao 001 (CoRR, 2025)

Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models. - Jiahuan Long; Tingsong Jiang; Wen Yao 001; Yizhe Xiong; Zhengqin Xu; Shuai Jia; Hanqing Liu; Chao Ma 004 (AAAI, 2026)

Pseudo-Spiking Neurons: A Noise-Based Training Framework for Heterogeneous-Latency Spiking Neural Networks. - Yuxuan Zhang; Yuhang Sun; Hongjue Li; Yue Deng 001; Wen Yao 001 (AAAI, 2026)

Bi-Spectrum Distillation: Addressing Spectral Mismatch in ANN-SNN Knowledge Transfer. - Yuxuan Zhang; Yuhang Sun; Wen Yao 001; Yue Deng 001; Hongjue Li (AAAI, 2026)

Invisibility stickers against LiDAR: Adversarial attacks on point cloud intensity for LiDAR-based object detection. - Junqi Wu 002; Wen Yao 001; Zijian Zhu; Donghua Wang 001; Jiahuan Long; Hanqing Liu; Tingsong Jiang; Liang Xiao; Xiaoya Zhang; Yang Yang 123; Chengyin Hu; Chao Ma 004 (Comput. Vis. Image Underst., 2026)

A Hybrid Deep-Learning Framework for Solid Rocket Motor Performance Prediction Based on Mechanism Modeling and Residual Learning. - Weile Xu; Xingchen Li; Hao Zhu; Wen Yao 001; Guobiao Cai (IEEE Trans. Aerosp. Electron. Syst., 2026)

Revealing Physical-World Semantic Vulnerabilities: Universal Adversarial Patches for Infrared Vision-Language Models. - Chengyin Hu; Yuxian Dong; Yikun Guo; Xiang Chen 033; Junqi Wu 002; Jiahuan Long; Yiwei Wei; Tingsong Jiang; Wen Yao 001 (CoRR, 2026)

JailWAM: Jailbreaking World Action Models in Robot Control. - Hanqing Liu; Songping Wang; Jiahuan Long; Jiacheng Hou; Jialiang Sun; Chao Li 076; Yang Yang 123; Wei Peng 010; Xu Liu 021; Tingsong Jiang; Wen Yao 001; Yao Mu (CoRR, 2026)

Vision-Language Navigation for Aerial Robots: Towards the Era of Large Language Models. - Xingyu Xia; Lekai Zhou; Yujie Tang; Xiaozhou Zhu; Hai Zhu 002; Wen Yao 001 (CoRR, 2026)

MTL-FNO: A Lightweight Multi-Task Fourier Neural Operator for Sparse Field Reconstruction. - Siyu Ye; Shihang Li; Zhiqiang Gong; Benrong Zhang; Weien Zhou; Yiyong Huang; Wen Yao 001 (CoRR, 2026)

You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling With Gradient Shortcuts. - Hongkun Dou; Zeyu Li; Xingyu Jiang; Hongjue Li; Lijun Yang; Wen Yao 001; Yue Deng 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2026)

Toward a Unified Framework for Consistency Generative Modeling. - Hongkun Dou; Junzhe Lu 001; Jinyang Du; Chengwei Fu; Wen Yao 001; Hongjue Li; Yue Deng 001 (IEEE Trans. Artif. Intell., 2026)

Cross-Task Collaborative Optimization Based on Knowledge Transfer for Soft Robot Design. - Jiliang Zhao; Wei Peng 010; Handing Wang; Weien Zhou; Yang Yang 123; Wen Yao 001 (IEEE Trans. Evol. Comput., 2026)