蒋琛｜华中科技大学｜学者主页

2026

基于相似产品先验的产品Bayes可靠性验证

王昱，邱浩波，何小二，王铭靖，蒋琛，高亮

《系统工程与电子技术》

2026

Semi-TFCDG: Semi-supervised time–frequency contrastive learning for domain generalization in machine remaining useful life prediction

Jie Shang, Haobo Qiu, Liang Gao, Chen Jiang, Enrico Zio

Mechanical Systems and Signal Processing

DOI

2026

Reliability-oriented and cost-saving stochastic selective maintenance optimisation using a learning-driven multi-objective artificial bee colony algorithm

Pei Liang, Haobo Qiu, keqing chang, Jie Shang, Chen Jiang, Liang Gao

International Journal of Production Research

DOI

2026

CEC-FedISDG: A Cloud-Edge Collaboration Federated Invariance and Specificity Domain Generalization Method for Machine Remaining Useful Life Prediction

Jie Shang, Danyang Xu, Haobo Qiu, Chen Jiang, Liang Gao, Enrico Zio

IEEE Transactions on Systems Man and Cybernetics Systems

DOI

2025

A soft actor-critic reinforcement learning-based method for remaining useful life prediction

Shousheng Ding, Lei Meng, Jie Shang, Chen Jiang, Haobo Qiu, Liang Gao

Reliability Engineering & System Safety，Vol. 261

DOI

2025

Physics-informed Gaussian process probabilistic modeling with multi-source data for prognostics of degradation processes

Chen Jiang, Teng Zhong, Hyunhee Choi, Byeng D. Youn

Reliability Engineering & System Safety，Vol. 258

DOI

2025

A surrogate-assisted differential evolution for high-dimensional expensive constrained optimization problems with mixed-integer variables

Yuanhao Liu, Zan Yang, Chen Jiang, Danyang Xu, Haobo Qiu, Liang Gao

Expert Systems With Applications，Vol. 272

DOI

2025

基于自适应时空图卷积网络的航空发动机剩余寿命预测

许丹阳，尚洁，蒋琛，邱浩波，高亮

《计算机集成制造系统》

DOI

2025

基于主客观融合功能共振的舰船任务安全性分析

王铭靖，何小二，蒋琛，邱浩波，高亮

《中国舰船研究》

2025

随机环境下设备关键部件多目标分阶段顺序维修模型与方法

梁佩，邱浩波，孟磊，蒋琛，许丹阳，高亮

《计算机集成制造系统》

2025

Data generation with meta fine-tuned degradation-informed variational autoencoder for remaining useful life prediction under data-scarce scenarios

Xinyu Shang, Haobo Qiu, Pei Liang, Jie Shang, Chen Jiang, Liang Gao

Advanced Engineering Informatics

DOI

2025

Computationally expensive multi-objective optimization problems via optimization state-driven adaptive evolution

Yuhang Chen, Zan Wei Yang, Chen Jiang, Haobo Qiu

Information Sciences

DOI

2025

CITDG: A causality and information-theory inspired domain generalization method for machine remaining useful life prediction in unseen domains

Jie Shang, Danyang Xu, Xinyu Shang, Chao Zhao, Chen Jiang, Haobo Qiu, Liang Gao

Mechanical Systems and Signal Processing

DOI

2025

Exploring a full latent space for Gaussian process modeling with qualitative and quantitative factors

Liming Chen, Qingshan Wang, Chen Jiang, Haobo Qiu, Liang Gao

Mechanical Systems and Signal Processing

DOI

2025

Out-of-domain generalization for remaining useful life prediction of rotating machinery from a single source: An adversarial contrastive learning approach

Jie Shang, Danyang Xu, Pei Liang, Chen Jiang, Haobo Qiu, Liang Gao

Mechanical Systems and Signal Processing

DOI

2024

A Subdomain uncertainty-guided Kriging method with optimized feasibility metric for time-dependent reliability analysis

Dapeng Wang, Haobo Qiu, Liang Gao, Chen Jiang

Reliability Engineering & System Safety，Vol. 243

DOI

2024

A novel multi-task learning framework with fault mode feature separation for remaining useful life estimation of mechanical systems

Danyang Xu, Jie Shang, Chen Jiang, Xinyu Shang, Haobo Qiu, Liang Gao

Advanced Engineering Informatics

DOI

2024

Special Section on Uncertainty-Aware Diagnostics and Prognostics for Health Monitoring and Risk Management of Engineered Systems

Chen Jiang, Zhen Yu Hu, Alba Sofi, Liang Gao, Haobo Qiu, Byeng Dong Youn

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems Part B Mechanical Engineering

DOI

2024

Domain generalization for rotating machinery real-time remaining useful life prediction via multi-domain orthogonal degradation feature exploration

Jie Shang, Danyang Xu, Haobo Qiu, Chen Jiang, Liang Gao

Mechanical Systems and Signal Processing

DOI

2023

Uncertainty analysis of stack pressure in EV battery module systems using a phenomenological modeling approach

Hyunhee Choi, Chen Jiang, B. Youn, Taejin Kim

Journal of Energy Storage

DOI

2023

A novel probabilistic feasible region method for reliability-based design optimization with varying standard deviation

Zihao Wu, Zhenzhong Chen, Ge Chen, Xiaoke Li, Chen Jiang, Xuehui Gan, Haobo Qiu, Liang Gao

Journal of Mechanical Science and Technology

DOI

2023

Time-dependent system reliability analysis using adaptive single-loop Kriging with probability of rejecting classification

Dapeng Wang, Haobo Qiu, Liang Gao, Danyang Xu, Chen Jiang

Structural and Multidisciplinary Optimization

DOI

2023

An efficient time-variant reliability-based design optimization method based on probabilistic feasible region

Zihao Wu, Zhenzhong Chen, Ge Chen, Xiaoke Li, Chen Jiang, Xuehui Gan, Haobo Qiu, Liang Gao

Journal of Mechanical Science and Technology

DOI

2021

A single-loop Kriging coupled with subset simulation for time-dependent reliability analysis

Dapeng Wang, Haobo Qiu, Liang Gao, Chen Jiang

Reliability Engineering & System Safety，Vol. 216

DOI

2021

Global and local Kriging limit state approximation for time-dependent reliability-based design optimization through wrong-classification probability

Chen Jiang, Yifang Yan, Dapeng Wang, Haobo Qiu, Liang Gao

Reliability Engineering & System Safety，Vol. 208

DOI

2020

EEK-SYS: System reliability analysis through estimation error-guided adaptive Kriging approximation of multiple limit state surfaces

Chen Jiang, Haobo Qiu, Liang Gao, Dapeng Wang, Zan Yang, Liming Chen

Reliability Engineering & System Safety，Vol. 198

DOI

2020

可靠性设计优化的单循环求解和自适应近似方法研究

蒋琛

《华中科技大学》

2020

A probability feasible region enhanced important boundary sampling method for reliability-based design optimization

Zihao Wu, Zhenzhong Chen, Ge Chen, Xiaoke Li, Chen Jiang, Xuehui Gan, Liang Gao, Shengze Wang

Structural and Multidisciplinary Optimization

DOI

2020

Optimization of expensive black-box problems via Gradient-enhanced Kriging

Liming Chen, Haobo Qiu, Liang Gao, Chen Jiang, Zan Yang

Computer Methods in Applied Mechanics and Engineering

DOI

2020

Time-dependent reliability analysis through projection outline-based adaptive Kriging

Dapeng Wang, Chen Jiang, Haobo Qiu, Jinhao Zhang, Liang Gao

Structural and Multidisciplinary Optimization

DOI

2019

A surrogate-assisted particle swarm optimization algorithm based on efficient global optimization for expensive black-box problems

Zan Yang, Haobo Qiu, Liang Gao, Xiwen Cai, Chen Jiang, Liming Chen

Engineering Optimization，Vol. 510, No. 4

DOI

2019

A general failure-pursuing sampling framework for surrogate-based reliability analysis

Chen Jiang, Haobo Qiu, Zan Yang, Liming Chen, Liang Gao, Peigen Li

Reliability Engineering & System Safety，Vol. 183

DOI

2019

Surrogate-assisted classification-collaboration differential evolution for expensive constrained optimization problems

Zan Yang, Haobo Qiu, Liang Gao, Xiwen Cai, Chen Jiang, Liming Chen

Information Sciences

DOI

2019

An efficient surrogate-assisted particle swarm optimization algorithm for high-dimensional expensive problems

Xiwen Cai, Haobo Qiu, Liang Gao, Chen Jiang, Xinyu Shao

Knowledge-Based Systems

DOI

2019

Real-time estimation error-guided active learning Kriging method for time-dependent reliability analysis

Chen Jiang, Haobo Qiu, Liang Gao, Dapeng Wang, Zan Yang, Liming Chen

Applied Mathematical Modelling

DOI

2019

An active failure-pursuing Kriging modeling method for time-dependent reliability analysis

Chen Jiang, Dapeng Wang, Haobo Qiu, Liang Gao, Liming Chen, Zan Yang

Mechanical Systems and Signal Processing

DOI

2019

Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems

Zan Yang, Haobo Qiu, Liang Gao, Chen Jiang, Jinhao Zhang

Journal of Global Optimization

DOI

2019

Iterative reliable design space approach for efficient reliability-based design optimization

Chen Jiang, Haobo Qiu, Xiaoke Li, Zhenzhong Chen, Liang Gao, Peigen Li

Engineering With Computers

DOI

2018

A screening-based gradient-enhanced Kriging modeling method for high-dimensional problems

Liming Chen, Haobo Qiu, Liang Gao, Chen Jiang, Zan Yang

Applied Mathematical Modelling

DOI

2018

A two-stage support vector regression assisted sequential sampling approach for global metamodeling

Chen Jiang, Xiwen Cai, Haobo Qiu, Liang Gao, Peigen Li

Structural and Multidisciplinary Optimization

DOI

2017

Support Vector enhanced Kriging for metamodeling with noisy data

Liming Chen, Haobo Qiu, Chen Jiang, Mi Xiao, Liang Gao

Structural and Multidisciplinary Optimization

DOI

2017

Ensemble of surrogates with hybrid method using global and local measures for engineering design

Liming Chen, Haobo Qiu, Chen Jiang, Xiwen Cai, Liang Gao

Structural and Multidisciplinary Optimization

DOI

2017

An adaptive hybrid single-loop method for reliability-based design optimization using iterative control strategy

Chen Jiang, Haobo Qiu, Liang Gao, Xiwen Cai, Peigen Li

Structural and Multidisciplinary Optimization

DOI

精选作品

期刊论文

基于相似产品先验的产品Bayes可靠性验证

Semi-TFCDG: Semi-supervised time–frequency contrastive learning for domain generalization in machine remaining useful life prediction

Reliability-oriented and cost-saving stochastic selective maintenance optimisation using a learning-driven multi-objective artificial bee colony algorithm

CEC-FedISDG: A Cloud-Edge Collaboration Federated Invariance and Specificity Domain Generalization Method for Machine Remaining Useful Life Prediction

A soft actor-critic reinforcement learning-based method for remaining useful life prediction

Physics-informed Gaussian process probabilistic modeling with multi-source data for prognostics of degradation processes

A surrogate-assisted differential evolution for high-dimensional expensive constrained optimization problems with mixed-integer variables

基于自适应时空图卷积网络的航空发动机剩余寿命预测

基于主客观融合功能共振的舰船任务安全性分析

随机环境下设备关键部件多目标分阶段顺序维修模型与方法

Data generation with meta fine-tuned degradation-informed variational autoencoder for remaining useful life prediction under data-scarce scenarios

Computationally expensive multi-objective optimization problems via optimization state-driven adaptive evolution

CITDG: A causality and information-theory inspired domain generalization method for machine remaining useful life prediction in unseen domains

Exploring a full latent space for Gaussian process modeling with qualitative and quantitative factors

Out-of-domain generalization for remaining useful life prediction of rotating machinery from a single source: An adversarial contrastive learning approach

A Subdomain uncertainty-guided Kriging method with optimized feasibility metric for time-dependent reliability analysis

A novel multi-task learning framework with fault mode feature separation for remaining useful life estimation of mechanical systems

Special Section on Uncertainty-Aware Diagnostics and Prognostics for Health Monitoring and Risk Management of Engineered Systems

Domain generalization for rotating machinery real-time remaining useful life prediction via multi-domain orthogonal degradation feature exploration

Uncertainty analysis of stack pressure in EV battery module systems using a phenomenological modeling approach

A novel probabilistic feasible region method for reliability-based design optimization with varying standard deviation

Time-dependent system reliability analysis using adaptive single-loop Kriging with probability of rejecting classification

An efficient time-variant reliability-based design optimization method based on probabilistic feasible region

A single-loop Kriging coupled with subset simulation for time-dependent reliability analysis

Global and local Kriging limit state approximation for time-dependent reliability-based design optimization through wrong-classification probability

EEK-SYS: System reliability analysis through estimation error-guided adaptive Kriging approximation of multiple limit state surfaces

可靠性设计优化的单循环求解和自适应近似方法研究

A probability feasible region enhanced important boundary sampling method for reliability-based design optimization

Optimization of expensive black-box problems via Gradient-enhanced Kriging

Time-dependent reliability analysis through projection outline-based adaptive Kriging

A surrogate-assisted particle swarm optimization algorithm based on efficient global optimization for expensive black-box problems

A general failure-pursuing sampling framework for surrogate-based reliability analysis

Surrogate-assisted classification-collaboration differential evolution for expensive constrained optimization problems

An efficient surrogate-assisted particle swarm optimization algorithm for high-dimensional expensive problems

Real-time estimation error-guided active learning Kriging method for time-dependent reliability analysis

An active failure-pursuing Kriging modeling method for time-dependent reliability analysis

Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems

Iterative reliable design space approach for efficient reliability-based design optimization

A screening-based gradient-enhanced Kriging modeling method for high-dimensional problems

A two-stage support vector regression assisted sequential sampling approach for global metamodeling

Support Vector enhanced Kriging for metamodeling with noisy data

Ensemble of surrogates with hybrid method using global and local measures for engineering design

An adaptive hybrid single-loop method for reliability-based design optimization using iterative control strategy

会议论文

基于主动失效追踪Kriging的结构可靠性分析

预印本

MetaWorld-X: Hierarchical World Modeling via VLM-Orchestrated Experts for Humanoid Loco-Manipulation

Robot Manipulation in Salient Vision through Referring Image Segmentation and Geometric Constraints

CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation

Interpreting Behaviors and Geometric Constraints as Knowledge Graphs for Robot Manipulation Control

Understanding Contexts Inside Robot and Human Manipulation Tasks through a Vision-Language Model and Ontology System in a Video Stream

Bridging Visual Perception with Contextual Semantics for Understanding Robot Manipulation Tasks

Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting

研究方向