Wen Yao

Orcid: 0000-0001-5224-9834

Affiliations:

Chinese Academy of Military Science, Defense Innovation Institute, Beijing, China
National University of Defense Technology, College of Aerospace Science and Engineering, Changsha, China

According to our database¹, Wen Yao authored at least 158 papers between 2009 and 2026.

Collaborative distances:

Dijkstra number² of three.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Cross-Task Collaborative Optimization Based on Knowledge Transfer for Soft Robot Design.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., June, 2026

Toward a Unified Framework for Consistency Generative Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., May, 2026

You Only Look One Step: Accelerating Backpropagation in Diffusion Sampling With Gradient Shortcuts.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2026

MTL-FNO: A Lightweight Multi-Task Fourier Neural Operator for Sparse Field Reconstruction.

[BibT_eX]

[DOI]

CoRR, May, 2026

Vision-Language Navigation for Aerial Robots: Towards the Era of Large Language Models.

[BibT_eX]

[DOI]

CoRR, April, 2026

JailWAM: Jailbreaking World Action Models in Robot Control.

[BibT_eX]

[DOI]

CoRR, April, 2026

Revealing Physical-World Semantic Vulnerabilities: Universal Adversarial Patches for Infrared Vision-Language Models.

[BibT_eX]

[DOI]

CoRR, April, 2026

A Hybrid Deep-Learning Framework for Solid Rocket Motor Performance Prediction Based on Mechanism Modeling and Residual Learning.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2026

Invisibility stickers against LiDAR: Adversarial attacks on point cloud intensity for LiDAR-based object detection.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2026

Bi-Spectrum Distillation: Addressing Spectral Mismatch in ANN-SNN Knowledge Transfer.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Pseudo-Spiking Neurons: A Noise-Based Training Framework for Heterogeneous-Latency Spiking Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SynergyWarpNet: Attention-Guided Cooperative Warping for Neural Portrait Animation.

[BibT_eX]

[DOI]

CoRR, December, 2025

Learning to Reconstruct Temperature Field from Sparse Observations with Implicit Physics Priors.

[BibT_eX]

[DOI]

CoRR, December, 2025

Thermally Activated Dual-Modal Adversarial Clothing against AI Surveillance Systems.

[BibT_eX]

[DOI]

CoRR, November, 2025

Improving the Transferability of Adversarial Examples by Feature Augmentation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., September, 2025

Eva-VLA: Evaluating Vision-Language-Action Models' Robustness Under Real-World Physical Variations.

[BibT_eX]

[DOI]

CoRR, September, 2025

High-Dimensional Hyperparameter Optimization via Adjoint Differentiation.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., August, 2025

Universal Multi-View Black-Box Attack Against Object Detectors via Layout Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., July, 2025

Score-Based Neural Processes.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., June, 2025

${A^{3}D}$A3D: A Platform of Searching for Robust Neural Architectures and Efficient Adversarial Attacks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2025

FR-Mamba: Time-Series Physical Field Reconstruction Based on State Space Model.

[BibT_eX]

[DOI]

CoRR, May, 2025

Heat source layout optimization using automatic deep learning surrogate and multimodal neighborhood search algorithm.

[BibT_eX]

[DOI]

Ann. Oper. Res., May, 2025

CDUPatch: Color-Driven Universal Adversarial Patch Attack for Dual-Modal Visible-Infrared Detectors.

[BibT_eX]

[DOI]

CoRR, April, 2025

Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models.

[BibT_eX]

[DOI]

CoRR, April, 2025

Optimizing Latent Variables in Integrating Transfer and Query Based Attack Framework.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., January, 2025

Image-to-Image Bayesian Flow Networks With Structurally Informative Priors.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2025

A generic quality and accuracy driven uncertainty quantification framework for reliability analysis.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2025

Gradient-based sparse voxel attacks on point cloud object detection.

[BibT_eX]

[DOI]

Pattern Recognit., 2025

Physics-informed Neural Implicit Flow neural network for parametric PDEs.

[BibT_eX]

[DOI]

Neural Networks, 2025

Fuzzy treed Gaussian process for nonstationary regression with large-scale datasets.

[BibT_eX]

[DOI]

Wen Yao

Ning Wang

Xingchen Li

Knowl. Based Syst., 2025

Mixed integer programming modeling for the satellite three-dimensional layout optimization problem from two component assignment perspectives.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2025

A multi-objective optimization framework based on information sharing for serially connected robot design.

[BibT_eX]

[DOI]

Complex Intell. Syst., 2025

Two-stage optimized unified adversarial patch for attacking visible-infrared cross-modal detectors in the physical world.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2025

CDUPatch: Color-Driven Universal Adversarial Patch Attack for Dual-Modal Visible-Infrared Detectors.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Hybrid Regularization Improves Diffusion-based Inverse Problem Solving.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Online Resilient Cooperative Coverage Path Planning Using Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Robust SAM: On the Adversarial Robustness of Vision Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Rapidly Evolving Soft Robots via Action Inheritance.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., December, 2024

Social Behavior Analysis in Exclusive Enterprise Social Networks by FastHAND.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, July, 2024

Adversarial attacks in computer vision: a survey.

[BibT_eX]

[DOI]

J. Membr. Comput., June, 2024

Offline Data-Driven Multiobjective Optimization Evolutionary Algorithm Based on Generative Adversarial Network.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., April, 2024

Multi-Objective Optimization of Dynamic Communication Network for Multi-UAVs System.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., March, 2024

Surrogate-Assisted Environmental Selection for Fast Hypervolume-Based Many-Objective Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., February, 2024

Efficient search of comprehensively robust neural architectures via multi-fidelity evaluation.

[BibT_eX]

[DOI]

Pattern Recognit., February, 2024

Algorithms for Bayesian network modeling and reliability inference of complex multistate systems with common cause failure.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., January, 2024

Contrastive enhancement using latent prototype for few-shot segmentation.

[BibT_eX]

[DOI]

Digit. Signal Process., January, 2024

Improving Transferability of Universal Adversarial Perturbation With Feature Disruption.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

Bridge the Spatial Semantic Gap: Multiattention Shape Adaptive Network for Infrared Target Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2024

HyperDID: Hyperspectral Intrinsic Image Decomposition With Deep Feature Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Deep Intrinsic Decomposition With Adversarial Learning for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2024

Learnable quantile polynomial chaos expansion: An uncertainty quantification method for interval reliability analysis.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2024

AdvOps: Decoupling adversarial examples.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

An invisible, robust copyright protection method for DNN-generated content.

[BibT_eX]

[DOI]

Neural Networks, 2024

Adversarial Infrared Curves: An attack on infrared pedestrian detectors in the physical world.

[BibT_eX]

[DOI]

Neural Networks, 2024

Adversarial infrared blocks: A multi-view black-box attack to thermal infrared detectors in physical world.

[BibT_eX]

[DOI]

Neural Networks, 2024

Multi-objective evolutionary search of variable-length composite semantic perturbations.

[BibT_eX]

[DOI]

Inf. Sci., 2024

Adversarial patch-based false positive creation attacks against aerial imagery object detectors.

[BibT_eX]

[DOI]

Neurocomputing, 2024

MultiScale spectral-spatial convolutional transformer for hyperspectral image classification.

[BibT_eX]

[DOI]

Zhiqiang Gong

Xian Zhou

Wen Yao

IET Image Process., 2024

A hybrid method based on proper orthogonal decomposition and deep neural networks for flow and heat field reconstruction.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

A hybrid Monte Carlo quantile EMD-LSTM method for satellite in-orbit temperature prediction and data uncertainty quantification.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Black-box adversarial patch attacks using differential evolution against aerial imagery object detectors.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

A novel PoI temperature prediction method for heat source system based on graph convolutional networks.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

A physics-driven sensor placement optimization methodology for temperature field reconstruction.

[BibT_eX]

[DOI]

CoRR, 2024

Improving the Transferability of Adversarial Examples by Feature Augmentation.

[BibT_eX]

[DOI]

CoRR, 2024

An online surrogate-assisted neighborhood search algorithm based on deep neural network for thermal layout optimization.

[BibT_eX]

[DOI]

Complex Intell. Syst., 2024

Uncertainty guided ensemble self-training for semi-supervised global field reconstruction.

[BibT_eX]

[DOI]

Complex Intell. Syst., 2024

Surrogate-assisted evolutionary algorithms for expensive combinatorial optimization: a survey.

[BibT_eX]

[DOI]

Complex Intell. Syst., 2024

A multi-objective particle swarm optimization based on local ideal points.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2024

Solving spatiotemporal partial differential equations with Physics-informed Graph Neural Network.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2024

Time-varying group formation tracking for nonlinear multi-agent systems under switching topologies.

[BibT_eX]

[DOI]

Appl. Intell., 2024

Implicitly physics-informed multi-fidelity physical field data fusion method based on Taylor modal decomposition.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2024

Hybrid digital twin for satellite temperature field perception and attitude control.

[BibT_eX]

[DOI]

Adv. Eng. Informatics, 2024

HeteroMorpheus: Universal Control Based on Morphological Heterogeneity Modeling.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

PapMOT: Exploring Adversarial Patch Attack Against Multiple Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Empirical Study on Averaging-based Noise-Tolerant Methods for Expensive Combinatorial Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

QRPatch: A Deceptive Texture-Based Black-Box Adversarial Attacks with Genetic Algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2024

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Neurocomputing, September, 2023

A multi-objective memetic algorithm for automatic adversarial attack optimization design.

[BibT_eX]

[DOI]

Neurocomputing, August, 2023

Reliability analysis of heat source layout temperature field prediction considering uncertainty in deep neural network surrogate models.

[BibT_eX]

[DOI]

Qual. Reliab. Eng. Int., July, 2023

Adversarial patch attacks against aerial imagery object detectors.

[BibT_eX]

[DOI]

Neurocomputing, June, 2023

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

[BibT_eX]

[DOI]

Sci. China Inf. Sci., May, 2023

Bidirectional Data-Driven Trajectory Prediction for Intelligent Maritime Traffic.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., February, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2023

Deep adaptive arbitrary polynomial chaos expansion: A mini-data-driven semi-supervised method for uncertainty quantification.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2023

Adaptive momentum variance for attention-guided sparse adversarial attacks.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

Differential evolution based dual adversarial camouflage: Fooling human eyes and object detectors.

[BibT_eX]

[DOI]

Neural Networks, 2023

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

[BibT_eX]

[DOI]

IET Image Process., 2023

Physics-informed convolutional neural networks for temperature field prediction of heat source layout without labeled data.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2023

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

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2023

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

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2023

Universal Perturbation-based Secret Key-Controlled Data Hiding.

[BibT_eX]

[DOI]

CoRR, 2023

Adversarial Examples in the Physical World: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Deep Intrinsic Decomposition with Adversarial Learning for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

Zhiqiang Gong

Xian Zhou

Wen Yao

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Multi-fidelity prediction of fluid flow and temperature field based on transfer learning using Fourier Neural Operator.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

RBUE: a ReLU-based uncertainty estimation method for convolutional neural networks.

[BibT_eX]

[DOI]

Complex Intell. Syst., 2023

Bayesian evolutionary optimization for crafting high-quality adversarial examples with limited query budget.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2023

Distributions-free Martingales Test Distributions-shift.

[BibT_eX]

[DOI]

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

A Unified Framework of Deep Neural Networks and Gappy Proper Orthogonal Decomposition for Global Field Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Swarm Behavior Recognition: Martingales Protected Paradigm.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Conformal Prediction Enhanced SVMs for Swarm Behavior Classification.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

A Method for Flow Field Reconstruction based on Fourier Neural Operator Network.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Disjunctive Fuzzy Neural Networks: A New Splitting-Based Approach to Designing a T-S Fuzzy Model.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2022

A Surrogate-Assisted Evolutionary Feature Selection Algorithm With Parallel Random Grouping for High-Dimensional Classification.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

An Approximated Gradient Sign Method Using Differential Evolution for Black-Box Adversarial Attack.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2022

Deep Kernel-Based Optimal Control Prediction in Aerospace Missions.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2022

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

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Self-adaptive loss balanced Physics-informed neural networks.

[BibT_eX]

[DOI]

Neurocomputing, 2022

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

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2022

RBF-MGN: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network.

[BibT_eX]

[DOI]

Zixue Xiang

Wei Peng

Wen Yao

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

A Survey on Physical Adversarial Attack in Computer Vision.

[BibT_eX]

[DOI]

CoRR, 2022

Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites.

[BibT_eX]

[DOI]

CoRR, 2022

A Multi-objective Memetic Algorithm for Auto Adversarial Attack Optimization Design.

[BibT_eX]

[DOI]

CoRR, 2022

Reliability Analysis of Complex Multi-State System Based on Universal Generating Function and Bayesian Network.

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part II-Dependent systems.

[BibT_eX]

[DOI]

Xiaohu Zheng

Wen Yao

Xiaoqian Chen

CoRR, 2022

A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain.

[BibT_eX]

[DOI]

CoRR, 2022

Semi-supervision semantic segmentation with uncertainty-guided self cross supervision.

[BibT_eX]

[DOI]

CoRR, 2022

Searching for Robust Neural Architectures via Comprehensive and Reliable Evaluation.

[BibT_eX]

[DOI]

CoRR, 2022

Physics-Informed Deep Monte Carlo Quantile Regression method for Interval Multilevel Bayesian Network-based Satellite Heat Reliability Analysis.

[BibT_eX]

[DOI]

CoRR, 2022

A deep learning method based on patchwise training for reconstructing temperature field.

[BibT_eX]

[DOI]

CoRR, 2022

A surrogate-assisted evolutionary algorithm with hypervolume triggered fidelity adjustment for noisy multiobjective integer programming.

[BibT_eX]

[DOI]

Shulei Liu

Handing Wang

Wen Yao

Appl. Soft Comput., 2022

Deep Learning Based Thermal Stress and Deformation Analysis of Satellites.

[BibT_eX]

[DOI]

Proceedings of the Modern Management based on Big Data III, 2022

Understanding Negative Calibration from Entropy Perspective.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Improve Calibration Robustness of Temperature Scaling by Penalizing Output Entropy.

[BibT_eX]

[DOI]

Proceedings of the Foundations of Intelligent Systems - 26th International Symposium, 2022

Deep Monte Carlo Quantile Regression for Quantifying Aleatoric Uncertainty in Physics-informed Temperature Field Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Semi-supervised Semantic Segmentation with Uncertainty-Guided Self Cross Supervision.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2022, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2021

Mini-data-driven Deep Arbitrary Polynomial Chaos Expansion for Uncertainty Quantification.

[BibT_eX]

[DOI]

CoRR, 2021

Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

IDRLnet: A Physics-Informed Neural Network Library.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

2020

Multisource Selective Transfer Framework in Multiobjective Optimization Problems.

[BibT_eX]

[DOI]

IEEE Trans. Evol. Comput., 2020

Algorithms for Bayesian network modeling and reliability inference of complex multistate systems: Part I - Independent systems.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2020

An iterative information integration method for multi-level system reliability analysis based on Bayesian Melding Method.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2020

Accelerating Physics-Informed Neural Network Training with Prior Dictionaries.

[BibT_eX]

[DOI]

CoRR, 2020

Fuzzy Linear regression based on approximate Bayesian computation.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2020

2019

Complex Satellite Lifetime Optimization Based on Bayesian Network Reliability Compression Inference Algorithm.

[BibT_eX]

[DOI]

IEEE Access, 2019

Satellite System Design Optimization Based on Bayesian Melding of Multi-Level Multi-Source Lifetime Information.

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

Fast Accessibility Evaluation of the Main-Belt Asteroids Manned Exploration Mission Based on a Learning Method.

[BibT_eX]

[DOI]

Yue-he Zhu

Yazhong Luo

Wen Yao

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Multistate Satellite System Reliability Optimization Based on Improved Compression Inference Algorithm and Bayesian Network.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Satellite Lifetime Optimization Based on Discrete Cross Entropy Method.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

The Hybrid Algorithms Based on Differential Evolution for Satellite Layout Optimization Design.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2016

Ensemble of surrogates based on error classification by unsupervised learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Application of multi-objective alliance algorithm to multidisciplinary design optimization under uncertainty.

[BibT_eX]

[DOI]

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2013

An enhanced unified uncertainty analysis approach based on first order reliability method with single-level optimization.

[BibT_eX]

[DOI]

Reliab. Eng. Syst. Saf., 2013

2012

Concurrent Subspace Width Optimization Method for RBF Neural Network Modeling.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

2010

Euclidean distance and second derivative based widths optimization of radial basis function neural networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

A gradient-based sequential radial basis function neural network modeling method.

[BibT_eX]

[DOI]

Wen Yao

Xiaoqian Chen

Wencai Luo

Neural Comput. Appl., 2009

A Sequential Radial Basis Function Neural Network Modeling Method Based on Partial Cross Validation Error Estimation.

[BibT_eX]

[DOI]

Wen Yao

Xiaoqian Chen

Proceedings of the Fifth International Conference on Natural Computation, 2009

Wen Yao

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