Wen Yao - RankMe

171 papers A* 10B 14C 2Journal 138Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Hybrid Deep-Learning Framework for Solid Rocket Motor Performance Prediction Based on Mechanism Modeling and Residual Learning. IEEE Trans. Aerosp. Electron. Syst. Weile Xu, Xingchen Li, Hao Zhu, Wen Yao, Guobiao Cai
2026	A*	`conf`	Bi-Spectrum Distillation: Addressing Spectral Mismatch in ANN-SNN Knowledge Transfer. AAAI Yuxuan Zhang, Yuhang Sun, Wen Yao, Yue Deng, Hongjue Li
2026	A*	`conf`	Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models. AAAI Jiahuan Long, Tingsong Jiang, Wen Yao, Yizhe Xiong, Zhengqin Xu, Shuai Jia, Hanqing Liu, Chao Ma
2026	A*	`conf`	Pseudo-Spiking Neurons: A Noise-Based Training Framework for Heterogeneous-Latency Spiking Neural Networks. AAAI Yuxuan Zhang, Yuhang Sun, Hongjue Li, Yue Deng, Wen Yao
2026	J	`jnl`	You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling With Gradient Shortcuts. IEEE Trans. Pattern Anal. Mach. Intell. Hongkun Dou, Zeyu Li, Xingyu Jiang, Hongjue Li, Lijun Yang, Wen Yao, Yue Deng
2025	J	`jnl`	${A^{3}D}$A3D: A Platform of Searching for Robust Neural Architectures and Efficient Adversarial Attacks. IEEE Trans. Pattern Anal. Mach. Intell. Jialiang Sun, Wen Yao, Tingsong Jiang, Chao Li, Xiaoqian Chen
2025	J	`jnl`	A generic quality and accuracy driven uncertainty quantification framework for reliability analysis. Reliab. Eng. Syst. Saf. Yingchun Xu, Wen Yao, Xiaohu Zheng, Zhiqiang Gong, Lei Yan, Na Xu
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	A*	`conf`	CDUPatch: Color-Driven Universal Adversarial Patch Attack for Dual-Modal Visible-Infrared Detectors. ACM Multimedia Jiahuan Long, Wen Yao, Tingsong Jiang, Jiacheng Hou, Shuai Jia, Junqi Wu, Xiaoya Zhang, Xiaohu Zheng, Chao Ma
2025	J	`jnl`	CDUPatch: Color-Driven Universal Adversarial Patch Attack for Dual-Modal Visible-Infrared Detectors. CoRR Jiahuan Long, Wen Yao, Tingsong Jiang, Chao Ma
2025	J	`jnl`	Eva-VLA: Evaluating Vision-Language-Action Models' Robustness Under Real-World Physical Variations. CoRR Hanqing Liu, Jiahuan Long, Junqi Wu, Jiacheng Hou, Huili Tang, Tingsong Jiang, Weien Zhou, Wen Yao
2025	J	`jnl`	FR-Mamba: Time-Series Physical Field Reconstruction Based on State Space Model. CoRR Jiahuan Long, Wenzhe Zhang, Ning Wang, Tingsong Jiang, Wen Yao
2025	J	`jnl`	Fuzzy treed Gaussian process for nonstationary regression with large-scale datasets. Knowl. Based Syst. Wen Yao, Ning Wang, Xingchen Li
2025	J	`jnl`	Gradient-based sparse voxel attacks on point cloud object detection. Pattern Recognit. Junqi Wu, Wen Yao, Shuai Jia, Tingsong Jiang, Weien Zhou, Chao Ma, Xiaoqian Chen
2025	J	`jnl`	Heat source layout optimization using automatic deep learning surrogate and multimodal neighborhood search algorithm. Ann. Oper. Res. Jialiang Sun, Xiaohu Zheng, Wen Yao, Xiaoya Zhang, Weien Zhou, Xiaoqian Chen
2025	J	`jnl`	High-Dimensional Hyperparameter Optimization via Adjoint Differentiation. IEEE Trans. Artif. Intell. Hongkun Dou, Hongjue Li, Jinyang Du, Leyuan Fang, Qing Gao, Yue Deng, Wen Yao
2025	A*	`conf`	Hybrid Regularization Improves Diffusion-based Inverse Problem Solving. ICLR Hongkun Dou, Zeyu Li, Jinyang Du, Lijun Yang, Wen Yao, Yue Deng
2025	J	`jnl`	Image-to-Image Bayesian Flow Networks With Structurally Informative Priors. IEEE Trans. Image Process. Hongkun Dou, Jinyang Du, Xingyu Jiang, Hongjue Li, Wen Yao, Yue Deng
2025	J	`jnl`	Improving the Transferability of Adversarial Examples by Feature Augmentation. IEEE Trans. Neural Networks Learn. Syst. Donghua Wang, Wen Yao, Tingsong Jiang, Xiaohu Zheng, Junqi Wu
2025	J	`jnl`	Learning to Reconstruct Temperature Field from Sparse Observations with Implicit Physics Priors. CoRR Shihang Li, Zhiqiang Gong, Weien Zhou, Yue Gao, Wen Yao
2025	J	`jnl`	Mixed integer programming modeling for the satellite three-dimensional layout optimization problem from two component assignment perspectives. Expert Syst. Appl. Yufeng Xia, Xianqi Chen, Zhijia Liu, Weien Zhou, Wen Yao, Zhongneng Zhang, Chenxi Wang
2025	—	`conf`	Online Resilient Cooperative Coverage Path Planning Using Graph Neural Networks. ICIC (14) Zhengyu Tang, Hai Zhu, Xiaozhou Zhu, Wen Yao
2025	J	`jnl`	Optimizing Latent Variables in Integrating Transfer and Query Based Attack Framework. IEEE Trans. Pattern Anal. Mach. Intell. Chao Li, Tingsong Jiang, Handing Wang, Wen Yao, Donghua Wang
2025	J	`jnl`	PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking. CoRR Jiahuan Long, Tingsong Jiang, Wen Yao, Shuai Jia, Weijia Zhang, Weien Zhou, Chao Ma, Xiaoqian Chen
2025	J	`jnl`	Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models. CoRR Jiahuan Long, Tingsong Jiang, Wen Yao, Yizhe Xiong, Zhengqin Xu, Shuai Jia, Chao Ma
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
2025	A*	`conf`	Robust SAM: On the Adversarial Robustness of Vision Foundation Models. AAAI Jiahuan Long, Zhengqin Xu, Tingsong Jiang, Wen Yao, Shuai Jia, Chao Ma, Xiaoqian Chen
2025	J	`jnl`	Robust SAM: On the Adversarial Robustness of Vision Foundation Models. CoRR Jiahuan Long, Zhengqin Xu, Tingsong Jiang, Wen Yao, Shuai Jia, Chao Ma, Xiaoqian Chen
2025	J	`jnl`	Score-Based Neural Processes. IEEE Trans. Neural Networks Learn. Syst. Hongkun Dou, Junzhe Lu, Zeyu Li, Xiaoqing Zhong, Wen Yao, Lijun Yang, Yue Deng
2025	J	`jnl`	SynergyWarpNet: Attention-Guided Cooperative Warping for Neural Portrait Animation. CoRR Shihang Li, Zhiqiang Gong, Minming Ye, Yue Gao, Wen Yao
2025	J	`jnl`	Thermally Activated Dual-Modal Adversarial Clothing against AI Surveillance Systems. CoRR Jiahuan Long, Tingsong Jiang, Hanqing Liu, Chao Ma, Wen Yao
2025	J	`jnl`	Two-stage optimized unified adversarial patch for attacking visible-infrared cross-modal detectors in the physical world. Appl. Soft Comput. Chengyin Hu, Weiwen Shi, Wen Yao, Tingsong Jiang, Ling Tian, Wen Li
2025	J	`jnl`	Universal Multi-View Black-Box Attack Against Object Detectors via Layout Optimization. IEEE Trans. Circuits Syst. Video Technol. Donghua Wang, Wen Yao, Tingsong Jiang, Chao Li, Xiaoqian Chen
2025	J	`jnl`	You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling with Gradient Shortcuts. CoRR Hongkun Dou, Zeyu Li, Xingyu Jiang, Hongjue Li, Lijun Yang, Wen Yao, Yue Deng
2024	J	`jnl`	A hybrid Monte Carlo quantile EMD-LSTM method for satellite in-orbit temperature prediction and data uncertainty quantification. Expert Syst. Appl. Yingchun Xu, Wen Yao, Xiaohu Zheng, Jingyi Chen
2024	J	`jnl`	A hybrid method based on proper orthogonal decomposition and deep neural networks for flow and heat field reconstruction. Expert Syst. Appl. Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Wen Yao, Yunyang Zhang
2024	J	`jnl`	A multi-objective particle swarm optimization based on local ideal points. Appl. Soft Comput. Yu Zhang, Wang Hu, Wen Yao, Xinyue Li, Junjie Hu
2024	J	`jnl`	A novel PoI temperature prediction method for heat source system based on graph convolutional networks. Eng. Appl. Artif. Intell. Qiao Li, Wen Yao, Xingchen Li, Zhiqiang Gong, Xiaohu Zheng
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`	AdvOps: Decoupling adversarial examples. Pattern Recognit. Donghua Wang, Wen Yao, Tingsong Jiang, Xiaoqian Chen
2024	J	`jnl`	Adversarial Infrared Curves: An attack on infrared pedestrian detectors in the physical world. Neural Networks Chengyin Hu, Weiwen Shi, Wen Yao, Tingsong Jiang, Ling Tian, Xiaoqian Chen, Wen Li
2024	J	`jnl`	Adversarial attacks in computer vision: a survey. J. Membr. Comput. Chao Li, Handing Wang, Wen Yao, Tingsong Jiang
2024	J	`jnl`	Adversarial infrared blocks: A multi-view black-box attack to thermal infrared detectors in physical world. Neural Networks Chengyin Hu, Weiwen Shi, Tingsong Jiang, Wen Yao, Ling Tian, Xiaoqian Chen, Jingzhi Zhou, Wen Li
2024	J	`jnl`	Adversarial patch-based false positive creation attacks against aerial imagery object detectors. Neurocomputing Guijian Tang, Wen Yao, Tingsong Jiang, Yong Zhao, Jialiang Sun
2024	J	`jnl`	Algorithms for Bayesian network modeling and reliability inference of complex multistate systems with common cause failure. Reliab. Eng. Syst. Saf. Xiaohu Zheng, Wen Yao, Yingchun Xu, Ning Wang
2024	J	`jnl`	An invisible, robust copyright protection method for DNN-generated content. Neural Networks Donghua Wang, Wen Yao, Tingsong Jiang, Weien Zhou, Lang Lin, 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	J	`jnl`	Black-box adversarial patch attacks using differential evolution against aerial imagery object detectors. Eng. Appl. Artif. Intell. Guijian Tang, Wen Yao, Chao Li, Tingsong Jiang, Shaowu Yang
2024	J	`jnl`	Bridge the Spatial Semantic Gap: Multiattention Shape Adaptive Network for Infrared Target Segmentation. IEEE Trans. Instrum. Meas. Benyi Yang, Xiaozhou Zhu, Yibing Liu, Jiexin Zhou, Shuaixin Li, Hai Zhu, Wen Yao
2024	J	`jnl`	Contrastive enhancement using latent prototype for few-shot segmentation. Digit. Signal Process. Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Wen Yao, Yunyang Zhang, Xiaohu Zheng
2024	J	`jnl`	Deep Intrinsic Decomposition With Adversarial Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. Zhiqiang Gong, Jiahao Qi, Ping Zhong, Xian Zhou, Wen Yao
2024	J	`jnl`	Efficient search of comprehensively robust neural architectures via multi-fidelity evaluation. Pattern Recognit. Jialiang Sun, Wen Yao, Tingsong Jiang, Xiaoqian Chen
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	J	`jnl`	Hybrid digital twin for satellite temperature field perception and attitude control. Adv. Eng. Informatics Yang Xie, Wen Yao, Xingchen Li, Ning Wang, Xiaohu Zheng, Xiaoqian Chen
2024	J	`jnl`	HyperDID: Hyperspectral Intrinsic Image Decomposition With Deep Feature Embedding. IEEE Trans. Geosci. Remote. Sens. Zhiqiang Gong, Xian Zhou, Wen Yao, Xiaohu Zheng, Ping Zhong
2024	J	`jnl`	Implicitly physics-informed multi-fidelity physical field data fusion method based on Taylor modal decomposition. Adv. Eng. Informatics Ruofan Zhang, Xingchen Li, Wen Yao, Xiaohu Zheng, Ning Wang, Jialiang Sun
2024	J	`jnl`	Improving Transferability of Universal Adversarial Perturbation With Feature Disruption. IEEE Trans. Image Process. Donghua Wang, Wen Yao, Tingsong Jiang, Xiaoqian Chen
2024	J	`jnl`	Improving the Transferability of Adversarial Examples by Feature Augmentation. CoRR Donghua Wang, Wen Yao, Tingsong Jiang, Xiaohu Zheng, Junqi Wu, Xiaoqian Chen
2024	J	`jnl`	Learnable quantile polynomial chaos expansion: An uncertainty quantification method for interval reliability analysis. Reliab. Eng. Syst. Saf. Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Xiaoya Zhang
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`	Multi-Objective Optimization of Dynamic Communication Network for Multi-UAVs System. IEEE Trans. Veh. Technol. Chen Zhang, Wen Yao, Yuan Zuo, Jianjun Gui, Chuanfu Zhang
2024	J	`jnl`	Multi-objective evolutionary search of variable-length composite semantic perturbations. Inf. Sci. Jialiang Sun, Wen Yao, Tingsong Jiang, Xiaoqian Chen
2024	J	`jnl`	MultiScale spectral-spatial convolutional transformer for hyperspectral image classification. IET Image Process. Zhiqiang Gong, Xian Zhou, Wen Yao
2024	J	`jnl`	Offline Data-Driven Multiobjective Optimization Evolutionary Algorithm Based on Generative Adversarial Network. IEEE Trans. Evol. Comput. Yu Zhang, Wang Hu, Wen Yao, Lixian Lian, Gary G. Yen
2024	—	`conf`	PapMOT: Exploring Adversarial Patch Attack Against Multiple Object Tracking. ECCV (51) Jiahuan Long, Tingsong Jiang, Wen Yao, Shuai Jia, Weijia Zhang, Weien Zhou, Chao Ma, Xiaoqian Chen
2024	B	`conf`	QRPatch: A Deceptive Texture-Based Black-Box Adversarial Attacks with Genetic Algorithm. CEC Chao Li, Wen Yao, Handing Wang, Tingsong Jiang, Donghua Wang, Jialiang Sun
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`	Social Behavior Analysis in Exclusive Enterprise Social Networks by FastHAND. ACM Trans. Knowl. Discov. Data Yang Yang, Feifei Wang, Enqiang Zhu, Fei Jiang, Wen Yao
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
2024	J	`jnl`	Time-varying group formation tracking for nonlinear multi-agent systems under switching topologies. Appl. Intell. Xin Cai, Hai Zhu, Xiaozhou Zhu, Wen Yao
2024	J	`jnl`	Uncertainty guided ensemble self-training for semi-supervised global field reconstruction. Complex Intell. Syst. Yunyang Zhang, Zhiqiang Gong, Xiaoyu Zhao, Wen Yao
2024	J	`jnl`	Universal Multi-view Black-box Attack against Object Detectors via Layout Optimization. CoRR Donghua Wang, Wen Yao, Tingsong Jiang, Chao Li, Xiaoqian Chen
2023	J	`jnl`	A CNN with noise inclined module and denoise framework for hyperspectral image classification. IET Image Process. Zhiqiang Gong, Ping Zhong, Wen Yao, Weien Zhou, Jiahao Qi, Panhe Hu
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`	A Plug-and-Play Defensive Perturbation for Copyright Protection of DNN-based Applications. CoRR Donghua Wang, Wen Yao, Tingsong Jiang, Weien Zhou, Lang Lin, Xiaoqian Chen
2023	B	`conf`	A Unified Framework of Deep Neural Networks and Gappy Proper Orthogonal Decomposition for Global Field Reconstruction. IJCNN Xiaoyu Zhao, Zhiqiang Gong, Xiaoqian Chen, Wen Yao, Yunyang Zhang
2023	J	`jnl`	A machine learning surrogate modeling benchmark for temperature field reconstruction of heat source systems. Sci. China Inf. Sci. Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao, Weien Zhou, Wen Yao
2023	J	`jnl`	A multi-objective memetic algorithm for automatic adversarial attack optimization design. Neurocomputing Jialiang Sun, Wen Yao, Tingsong Jiang, Xiaoqian Chen
2023	J	`jnl`	Adaptive momentum variance for attention-guided sparse adversarial attacks. Pattern Recognit. Chao Li, Wen Yao, Handing Wang, Tingsong Jiang
2023	J	`jnl`	Adversarial Examples in the Physical World: A Survey. CoRR Jiakai Wang, Donghua Wang, Jin Hu, Siyang Wu, Tingsong Jiang, Wen Yao, Aishan Liu, Xianglong Liu
2023	J	`jnl`	Adversarial patch attacks against aerial imagery object detectors. Neurocomputing Guijian Tang, Tingsong Jiang, Weien Zhou, Chao Li, Wen Yao, Yong Zhao
2023	J	`jnl`	Bayesian evolutionary optimization for crafting high-quality adversarial examples with limited query budget. Appl. Soft Comput. Chao Li, Wen Yao, Handing Wang, Tingsong Jiang, Xiaoya Zhang
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`	Bidirectional Data-Driven Trajectory Prediction for Intelligent Maritime Traffic. IEEE Trans. Intell. Transp. Syst. Ye Xiao, Xingchen Li, Wen Yao, Jin Chen, Yupeng Hu
2023	B	`conf`	Conformal Prediction Enhanced SVMs for Swarm Behavior Classification. IJCNN Zepu Xi, Hongbo Chen, Xiaoqian Chen, Wen Yao
2023	J	`jnl`	Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image Classification. CoRR Zhiqiang Gong, Xian Zhou, Wen Yao
2023	J	`jnl`	Deep adaptive arbitrary polynomial chaos expansion: A mini-data-driven semi-supervised method for uncertainty quantification. Reliab. Eng. Syst. Saf. Wen Yao, Xiaohu Zheng, Jun Zhang, Ning Wang, Guijian Tang
2023	J	`jnl`	Differential evolution based dual adversarial camouflage: Fooling human eyes and object detectors. Neural Networks Jialiang Sun, Wen Yao, Tingsong Jiang, Donghua Wang, Xiaoqian Chen
2023	—	`conf`	Distributions-free Martingales Test Distributions-shift. INNS DLIA@IJCNN Zepu Xi, Hongbo Chen, Xiaoqian Chen, Wen Yao
2023	J	`jnl`	Efficient Search of Comprehensively Robust Neural Architectures via Multi-fidelity Evaluation. CoRR Jialiang Sun, Wen Yao, Tingsong Jiang, Xiaoqian Chen
2023	J	`jnl`	HyperDID: Hyperspectral Intrinsic Image Decomposition with Deep Feature Embedding. CoRR Zhiqiang Gong, Xian Zhou, Wen Yao, Xiaohu Zheng, Ping Zhong
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
2023	J	`jnl`	Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator. CoRR Yanfang Lyu, Xiaoyu Zhao, Zhiqiang Gong, Xiao Kang, Wen Yao
2023	J	`jnl`	Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network. CoRR Yunyang Zhang, Zhiqiang Gong, Weien Zhou, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao
2023	J	`jnl`	Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network. Eng. Appl. Artif. Intell. Yunyang Zhang, Zhiqiang Gong, Weien Zhou, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao
2023	J	`jnl`	Multi-objective Evolutionary Search of Variable-length Composite Semantic Perturbations. CoRR Jialiang Sun, Wen Yao, Tingsong Jiang, Xiaoqian Chen
2023	J	`jnl`	MultiScale Spectral-Spatial Convolutional Transformer for Hyperspectral Image Classification. CoRR Zhiqiang Gong, Xian Zhou, Wen Yao
2023	J	`jnl`	Natural Weather-Style Black-Box Adversarial Attacks Against Optical Aerial Detectors. IEEE Trans. Geosci. Remote. Sens. Guijian Tang, Wen Yao, Tingsong Jiang, Weien Zhou, Yang Yang, Donghua Wang
2023	J	`jnl`	Physics-informed convolutional neural networks for temperature field prediction of heat source layout without labeled data. Eng. Appl. Artif. Intell. Xiaoyu Zhao, Zhiqiang Gong, Yunyang Zhang, Wen Yao, Xiaoqian Chen
2023	J	`jnl`	RBUE: a ReLU-based uncertainty estimation method for convolutional neural networks. Complex Intell. Syst. Yufeng Xia, Jun Zhang, Zhiqiang Gong, Tingsong Jiang, Wen Yao
2023	A*	`conf`	RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World. ICCV Donghua Wang, Wen Yao, Tingsong Jiang, Chao Li, Xiaoqian Chen
2023	J	`jnl`	RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World. CoRR Donghua Wang, Wen Yao, Tingsong Jiang, Chao Li, Xiaoqian Chen
2023	J	`jnl`	RecFNO: a resolution-invariant flow and heat field reconstruction method from sparse observations via Fourier neural operator. CoRR Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Weien Zhou, Wen Yao, Yunyang Zhang
2023	J	`jnl`	Reliability analysis of heat source layout temperature field prediction considering uncertainty in deep neural network surrogate models. Qual. Reliab. Eng. Int. Yufeng Xia, Wen Yao, Xiaohu Zheng, Zhiqiang Gong
2023	B	`conf`	Swarm Behavior Recognition: Martingales Protected Paradigm. IJCNN Zepu Xi, Hongbo Chen, Xiaoqian Chen, Wen Yao
2023	A*	`conf`	Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification. AAAI Jun Zhang, Wen Yao, Xiaoqian Chen, Ling Feng
2023	J	`jnl`	Uncertainty Guided Ensemble Self-Training for Semi-Supervised Global Field Reconstruction. CoRR Yunyang Zhang, Zhiqiang Gong, Xiaoyu Zhao, Wen Yao
2023	J	`jnl`	Universal Perturbation-based Secret Key-Controlled Data Hiding. CoRR Donghua Wang, Wen Yao, Tingsong Jiang, Xiaoqian Chen
2022	J	`jnl`	A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design. CoRR Jialiang Sun, Wen Yao, Tingsong Jiang, Xiaoqian Chen
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 Survey on Physical Adversarial Attack in Computer Vision. CoRR Donghua Wang, Wen Yao, Tingsong Jiang, Guijian Tang, Xiaoqian Chen
2022	J	`jnl`	A deep learning method based on patchwise training for reconstructing temperature field. CoRR Xingwen Peng, Xingchen Li, Zhiqiang Gong, Xiaoyu Zhao, 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`	A surrogate-assisted evolutionary algorithm with hypervolume triggered fidelity adjustment for noisy multiobjective integer programming. Appl. Soft Comput. Shulei Liu, Handing Wang, Wen Yao
2022	J	`jnl`	Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part II-Dependent systems. CoRR Xiaohu Zheng, Wen Yao, Xiaoqian Chen
2022	J	`jnl`	An Approximated Gradient Sign Method Using Differential Evolution for Black-Box Adversarial Attack. IEEE Trans. Evol. Comput. Chao Li, Handing Wang, Jun Zhang, Wen Yao, Tingsong Jiang
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	J	`jnl`	Contrastive Enhancement Using Latent Prototype for Few-Shot Segmentation. CoRR Xiaoyu Zhao, Xiaoqian Chen, Zhiqiang Gong, Wen Yao, Yunyang Zhang, Xiaohu Zheng
2022	J	`jnl`	Deep Kernel-Based Optimal Control Prediction in Aerospace Missions. IEEE Trans. Aerosp. Electron. Syst. Hongjue Li, Wen Yao, Yunfeng Dong, Qing Gao, Yue Deng
2022	—	`conf`	Deep Learning Based Thermal Stress and Deformation Analysis of Satellites. MMBD Zeyu Cao, Wei Peng, Xiaoya Zhang, Wen Yao
2022	B	`conf`	Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction. IJCNN Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Yunyang Zhang, Xiaoyu Zhao, Tingsong Jiang
2022	J	`jnl`	Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction. CoRR Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Yunyang Zhang, Xiaoyu Zhao, Tingsong Jiang
2022	J	`jnl`	Differential Evolution based Dual Adversarial Camouflage: Fooling Human Eyes and Object Detectors. CoRR Jialiang Sun, Tingsong Jiang, Wen Yao, Donghua Wang, Xiaoqian Chen
2022	J	`jnl`	Disjunctive Fuzzy Neural Networks: A New Splitting-Based Approach to Designing a T-S Fuzzy Model. IEEE Trans. Fuzzy Syst. Ning Wang, Witold Pedrycz, Wen Yao, Xiaoqian Chen, Yong Zhao
2022	A*	`conf`	FCA: Learning a 3D Full-Coverage Vehicle Camouflage for Multi-View Physical Adversarial Attack. AAAI Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Zhiqiang Gong, Xiaoya Zhang, Wen Yao, Xiaoqian Chen
2022	C	`conf`	Improve Calibration Robustness of Temperature Scaling by Penalizing Output Entropy. ISMIS Jun Zhang, Wen Yao, Xiaoqian Chen, Ling Feng
2022	J	`jnl`	Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis. CoRR Xiaohu Zheng, Wen Yao, Zhiqiang Gong, Yunyang Zhang, Xiaoya 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`	Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network. CoRR Xu Liu, Wen Yao, Xiaohu Zheng, Yingchun Xu
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`	Searching for Robust Neural Architectures via Comprehensive and Reliable Evaluation. CoRR Jialiang Sun, Tingsong Jiang, Chao Li, Weien Zhou, Xiaoya Zhang, Wen Yao, Xiaoqian Chen
2022	J	`jnl`	Self-adaptive loss balanced Physics-informed neural networks. Neurocomputing Zixue Xiang, Wei Peng, Xu Liu, Wen Yao
2022	—	`conf`	Semi-supervised Semantic Segmentation with Uncertainty-Guided Self Cross Supervision. ACCV (7) Yunyang Zhang, Zhiqiang Gong, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao
2022	J	`jnl`	Semi-supervision semantic segmentation with uncertainty-guided self cross supervision. CoRR Yunyang Zhang, Zhiqiang Gong, Xiaohu Zheng, Xiaoyu Zhao, 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
2022	C	`conf`	Understanding Negative Calibration from Entropy Perspective. ISMIS Jun Zhang, Wen Yao, Xiaoqian Chen, Ling Feng
2021	J	`jnl`	A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout. CoRR Xianqi Chen, Xiaoyu Zhao, Zhiqiang Gong, Jun Zhang, Weien Zhou, Xiaoqian Chen, 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`	FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack. CoRR Donghua Wang, Tingsong Jiang, Jialiang Sun, Weien Zhou, Xiaoya Zhang, Zhiqiang Gong, Wen Yao, Xiaoqian Chen
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`	Mini-data-driven Deep Arbitrary Polynomial Chaos Expansion for Uncertainty Quantification. CoRR Xiaohu Zheng, Jun Zhang, Ning Wang, Guijian Tang, Wen Yao
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`	Physics-informed Convolutional Neural Networks for Temperature Field Prediction of Heat Source Layout without Labeled Data. CoRR Xiaoyu Zhao, Zhiqiang Gong, Yunyang Zhang, Wen Yao, Xiaoqian Chen
2021	J	`jnl`	Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks. CoRR Yufeng Xia, Jun Zhang, Zhiqiang Gong, Tingsong Jiang, Wen Yao
2021	J	`jnl`	TFRD: A Benchmark Dataset for Research on Temperature Field Reconstruction of Heat-Source Systems. CoRR Xiaoqian Chen, Zhiqiang Gong, Xiaoyu Zhao, Weien Zhou, Wen Yao
2020	J	`jnl`	Accelerating Physics-Informed Neural Network Training with Prior Dictionaries. CoRR Wei Peng, Weien Zhou, Jun Zhang, Wen Yao
2020	J	`jnl`	Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part I - Independent systems. Reliab. Eng. Syst. Saf. Xiaohu Zheng, Wen Yao, Yingchun Xu, Xiaoqian Chen
2020	J	`jnl`	An iterative information integration method for multi-level system reliability analysis based on Bayesian Melding Method. Reliab. Eng. Syst. Saf. Yingchun Xu, Wen Yao, Xiaohu Zheng, Xiaoqian Chen
2020	J	`jnl`	Fuzzy Linear regression based on approximate Bayesian computation. Appl. Soft Comput. Ning Wang, Marek Z. Reformat, Wen Yao, Yong Zhao, Xiaoqian Chen
2020	J	`jnl`	Multisource Selective Transfer Framework in Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. Jun Zhang, Weien Zhou, Xianqi Chen, Wen Yao, Lu Cao
2019	J	`jnl`	Complex Satellite Lifetime Optimization Based on Bayesian Network Reliability Compression Inference Algorithm. IEEE Access Xiaohu Zheng, Wen Yao, Yingchun Xu, Xiaoqian Chen
2019	J	`jnl`	Satellite System Design Optimization Based on Bayesian Melding of Multi-Level Multi-Source Lifetime Information. IEEE Access Yingchun Xu, Wen Yao, Xiaohu Zheng, Xiaoqian Chen
2018	B	`conf`	Fast Accessibility Evaluation of the Main-Belt Asteroids Manned Exploration Mission Based on a Learning Method. CEC Yue-he Zhu, Yazhong Luo, Wen Yao
2018	B	`conf`	Multistate Satellite System Reliability Optimization Based on Improved Compression Inference Algorithm and Bayesian Network. CEC Xiaohu Zheng, Xianqi Chen, Wen Yao, Xiaoqian Chen, Longqi Yang, Yazhong Luo
2018	B	`conf`	Satellite Lifetime Optimization Based on Discrete Cross Entropy Method. CEC Wen Yao, Zhengyang Ma, Yazhong Luo, Xiaoqian Chen, Longqi Yang
2018	B	`conf`	The Hybrid Algorithms Based on Differential Evolution for Satellite Layout Optimization Design. CEC Xianqi Chen, Wen Yao, Yong Zhao, Xiaoqian Chen, Jun Zhang, Yazhong Luo
2016	B	`conf`	Application of multi-objective alliance algorithm to multidisciplinary design optimization under uncertainty. CEC Xiaoqian Chen, Xingzhi Hu, Valerio Lattarulo, Wen Yao, Yong Zhao
2016	B	`conf`	Ensemble of surrogates based on error classification by unsupervised learning. CEC Yi Zhang, Xiaoqian Chen, Ning Wang, Wen Yao, Bingxiao Du
2013	J	`jnl`	An enhanced unified uncertainty analysis approach based on first order reliability method with single-level optimization. Reliab. Eng. Syst. Saf. Wen Yao, Xiaoqian Chen, Yiyong Huang, Michel van Tooren
2012	J	`jnl`	Concurrent Subspace Width Optimization Method for RBF Neural Network Modeling. IEEE Trans. Neural Networks Learn. Syst. Wen Yao, Xiaoqian Chen, Yong Zhao, Michel van Tooren
2010	B	`conf`	Euclidean distance and second derivative based widths optimization of radial basis function neural networks. IJCNN Wen Yao, Xiaoqian Chen, Michel van Tooren, Yuexing Wei
2009	—	`conf`	A Sequential Radial Basis Function Neural Network Modeling Method Based on Partial Cross Validation Error Estimation. ICNC (3) Wen Yao, Xiaoqian Chen
2009	J	`jnl`	A gradient-based sequential radial basis function neural network modeling method. Neural Comput. Appl. Wen Yao, Xiaoqian Chen, Wencai Luo