Performance evaluation of knowledgeable manufacturing systems using Petri nets considering dynamic events. - Youlong Lv; Jie Zhang 041 (IEEM, 2011)

Multiple-objective scheduling for interbay AMHS by using genetic-programming-based composite dispatching rules generator. - Wei Qin; Jie Zhang 041; Yinbin Sun (Comput. Ind., 2013)

An Imperialist Competitive Algorithm Incorporating Remaining Cycle Time Prediction for Photolithography Machines Scheduling. - Peng Zhang 049; Xinming Zhao; Xia Sheng; Jie Zhang 041 (IEEE Access, 2018)

Data-driven process planning for shipbuilding. - Jinsong Bao; Xiaohu Zheng; Jianguo Zhang; Xia Ji; Jie Zhang 041 (Artif. Intell. Eng. Des. Anal. Manuf., 2018)

Big data driven cycle time parallel prediction for production planning in wafer manufacturing. - Junliang Wang; Jungang Yang; Jie Zhang 041; Xiaoxi Wang; Wenjun Chris Zhang (Enterp. Inf. Syst., 2018)

Tool path optimisation method for large thin-wall part of spacecraft. - Haichao Wang; Jie Zhang 041; Youlong Lv; Xiaolong Zhang; Guoqiang Guo; Wei Qin; Xiaoxi Wang (Int. J. Prod. Res., 2018)

An improved imperialist competitive algorithm based photolithography machines scheduling. - Peng Zhang 049; Youlong Lv; Jie Zhang 041 (Int. J. Prod. Res., 2018)

Adjustment mode decision based on support vector data description and evidence theory for assembly lines. - Youlong Lv; Wei Qin; Jungang Yang; Jie Zhang 041 (Ind. Manag. Data Syst., 2018)

An improved ant colony algorithm for dynamic hybrid flow shop scheduling with uncertain processing time. - Wei Qin; Jie Zhang 041; Daili Song (J. Intell. Manuf., 2018)

Bilateral LSTM: A Two-Dimensional Long Short-Term Memory Model With Multiply Memory Units for Short-Term Cycle Time Forecasting in Re-entrant Manufacturing Systems. - Junliang Wang; Jie Zhang 041; Xiaoxi Wang (IEEE Trans. Ind. Informatics, 2018)

An Adaptive Interval Forecast CNN Model for Fault Detection Method. - Junjie He; Junliang Wang; Lu Dai; Jie Zhang 041; Jingsong Bao (CASE, 2019)

An Improved GA-KRR Nested Learning Approach for Refrigeration Compressor Performance Forecasting*. - Chuqiao Xu; Xin Liu; Junliang Wang; Jie Zhang 041; Jin Cao; Wei Qin (CASE, 2019)

Online defect recognition of narrow overlap weld based on two-stage recognition model combining continuous wavelet transform and convolutional neural network. - Rui Miao 004; Yuntian Gao; Liang Ge; Zihang Jiang; Jie Zhang 041 (Comput. Ind., 2019)

The modelling and operations for the digital twin in the context of manufacturing. - Jinsong Bao; Dongsheng Guo; Jie Li 068; Jie Zhang 041 (Enterp. Inf. Syst., 2019)

A novel resilient scheduling paradigm integrating operation and design for manufacturing systems with uncertainties. - Junliang Wang; Peng Zheng; Wei Qin; Tengda Li; Jie Zhang 041 (Enterp. Inf. Syst., 2019)

Simulation-based production analysis of mixed-model assembly lines with uncertain processing times. - Youlong Lv; Jie Zhang 041; Wei Qin (J. Simulation, 2019)

An adaptive CGAN/IRF-based rescheduling strategy for aircraft parts remanufacturing system under dynamic environment. - Peng Zheng; Junliang Wang; Jie Zhang 041; Changqi Yang; Yongqiao Jin (Robotics Comput. Integr. Manuf., 2019)

An Improved Genetic Algorithm with Local Search for Dynamic Job Shop Scheduling Problem. - Ming Wang; Peng Zhang 049; Peng Zheng; Junjie He; Jie Zhang 041; Jinsong Bao (CASE, 2020)

A new welding path planning method based on point cloud and deep learning. - Chuqiao Xu; Junliang Wang; Jie Zhang 041; Chao Lu (CASE, 2020)

Edge-cloud collaborative fabric defect detection based on industrial internet architecture. - Shuxuan Zhao; Junliang Wang; Jie Zhang 041; Jinsong Bao; Ray Y. Zhong (INDIN, 2020)

Hybrid Feature Selection for Wafer Acceptance Test Parameters in Semiconductor Manufacturing. - Hongwei Xu; Jie Zhang 041; Youlong Lv; Peng Zheng (IEEE Access, 2020)

Big data analytics for cycle time related feature selection in the semiconductor wafer fabrication system. - Junliang Wang; Peng Zheng; Jie Zhang 041 (Comput. Ind. Eng., 2020)

Using structural equation modeling to analyze patient value, satisfaction, and loyalty: a case study of healthcare in China. - Rui Miao 004; Hui Zhang; Qi Wu; Jie Zhang 041; Zhibin Jiang (Int. J. Prod. Res., 2020)

An effective approach for causal variables analysis in diesel engine production by using mutual information and network deconvolution. - Wei Qin; Dongye Zha; Jie Zhang 041 (J. Intell. Manuf., 2020)

Real-time task processing for spinning cyber-physical production systems based on edge computing. - Shiyong Yin; Jinsong Bao; Jie Zhang 041; Jie Li 068; Junliang Wang; Xiaodi Huang (J. Intell. Manuf., 2020)

A collaborative architecture of the industrial internet platform for manufacturing systems. - Junliang Wang; Chuqiao Xu; Jie Zhang 041; Jingsong Bao; Ray Y. Zhong (Robotics Comput. Integr. Manuf., 2020)

Anomaly detection of power consumption in yarn spinning using transfer learning. - Chuqiao Xu; Junliang Wang; Jie Zhang 041; Xiaoou Li (Comput. Ind. Eng., 2021)

Online inspection of narrow overlap weld quality using two-stage convolution neural network image recognition. - Rui Miao 004; Zihang Jiang; Qinye Zhou; Yizhou Wu; Yuntian Gao; Jie Zhang 041; Zhibin Jiang (Mach. Vis. Appl., 2021)

An Unequal Deep Learning Approach for 3-D Point Cloud Segmentation. - Junliang Wang; Chuqiao Xu; Lu Dai; Jie Zhang 041; Ray Y. Zhong (IEEE Trans. Ind. Informatics, 2021)

A Convolutional Neural Network with Equal-Resolution Enhancement and Gradual Attention of Features for Tiny Target Detection. - Mingyang Cheng; Junliang Wang; Yaqin Zhou; Chuqiao Xu; Ying Liu 004; Jie Zhang 041 (CASE, 2022)

A Hybrid Wafer Processing Cycle Prediction Model Based on DPC-Relief-F. - Jiabin Dai; Jie Zhang 041; Junliang Wang; Lihui Wu (CASE, 2022)

Genetic regulatory network-based optimisation of master production scheduling and mixed-model sequencing in assembly lines. - Youlong Lv; Jie Zhang 041; Liling Zuo (Int. J. Bio Inspired Comput., 2022)

A data-driven robust optimization method for the assembly job-shop scheduling problem under uncertainty. - Peng Zheng; Peng Zhang 049; Junliang Wang; Jie Zhang 041; Changqi Yang; Yongqiao Jin (Int. J. Comput. Integr. Manuf., 2022)

MicroCrack-Net: A Deep Neural Network With Outline Profile-Guided Feature Augmentation and Attention-Based Multiscale Fusion for MicroCrack Detection of Tantalum Capacitors. - Mingyang Cheng; Chuqiao Xu; Junliang Wang; Wenjun Zhang 005; Yaqin Zhou; Jie Zhang 041 (IEEE Trans. Aerosp. Electron. Syst., 2022)

Profit Optimization for Mileage-Based Pricing of Electric Vehicle Lease. - Rui Miao 004; Qi Li; Wenjie Huang; Peng Guo 005; Leiyu Mi; Zhiqi Zhang; Jie Zhang 041; Zhibin Jiang (IEEE Trans. Engineering Management, 2022)

Data-Driven Adaptive Virtual Metrology for Yield Prediction in Multibatch Wafers. - Hongwei Xu; Wei Qin; Youlong Lv; Jie Zhang 041 (IEEE Trans. Ind. Informatics, 2022)

A Two-Stage Adaptive Method for Predicting the Remaining Useful Life of Winders. - Jie Ren; Jie Zhang 041; Xueyi Zhao; Junliang Wang (CASE, 2023)

Adaptive Deep Reinforcement Learning for Dynamic Parallel Machines Scheduling with Maintenance Activities. - Ming Wang; Peng Zhang 049; Jie Zhang 041; Guoqing Zhang; Jinmao Bi; Mengyu Jin (ICAC, 2023)

A knowledge augmented image deblurring method with deep learning for in-situ quality detection of yarn production. - Chuqiao Xu; Junliang Wang; Jing Tao; Jie Zhang 041; Ray Y. Zhong (Int. J. Prod. Res., 2023)

Brain-Inspired Interpretable Network Pruning for Smart Vision-Based Defect Detection Equipment. - Junliang Wang; Shuxuan Zhao; Chuqiao Xu; Jie Zhang 041; Ray Y. Zhong (IEEE Trans. Ind. Informatics, 2023)

TsrNet: A two-stage unsupervised approach for clothing region-specific textures style transfer. - Kexin Sun; Jie Zhang 041; Peng Zhang 049; Kexin Yuan; Geng Li (J. Vis. Commun. Image Represent., 2023)

Knowledge augmented broad learning system for computer vision based mixed-type defect detection in semiconductor manufacturing. - Junliang Wang; Pengjie Gao; Jie Zhang 041; Chao Lu; Bo Shen (Robotics Comput. Integr. Manuf., 2023)

Unsupervised fabric defects detection based on spatial domain saliency and features clustering. - Shuxuan Zhao; Ray Y. Zhong; Junliang Wang; Chuqiao Xu; Jie Zhang 041 (Comput. Ind. Eng., 2023)

AKGNN-PC: An assembly knowledge graph neural network model with predictive value calibration module for refrigeration compressor performance prediction with assembly error propagation and data imbalance scenarios. - Qiuhao Xu; Pengjie Gao; Junliang Wang; Jie Zhang 041; Andrew W. H. Ip; Chris W. J. Zhang (Adv. Eng. Informatics, 2024)

A Copula network deconvolution-based direct correlation disentangling framework for explainable fault detection in semiconductor wafer fabrication. - Hongwei Xu; Wei Qin; Jinhua Hu; Yan-Ning Sun; Youlong Lv; Jie Zhang 041 (Adv. Eng. Informatics, 2024)

A blockchain-enabled and event-driven tracking framework for SMEs to improve cooperation transparency in manufacturing supply chain. - Jiajun Liu; Pingyu Jiang; Jie Zhang 041 (Comput. Ind. Eng., 2024)

Recursive signal denoising method for predictive maintenance of equipment by using deep learning based temporal masking. - Jie Ren; Jie Zhang 041; Junliang Wang; Xueyi Zhao (Comput. Ind. Eng., 2024)

An adaptive Copula function-based framework for fault detection in semiconductor wafer fabrication. - Hongwei Xu; Wei Qin; Yan-Ning Sun; Youlong Lv; Jie Zhang 041 (Comput. Ind. Eng., 2024)

Multi-robot multi-station welding flow shop closed-loop rescheduling with deep reinforcement learning and improved artificial bee colony algorithm. - Peng Zhang 049; Ming Wang; Guoqing Zhang; Peng Zheng; Mengyu Jin; Jie Zhang 041 (Comput. Ind. Eng., 2024)

GIC-Flow: Appearance flow estimation via global information correlation for virtual try-on under large deformation. - Peng Zhang 049; Jiamei Zhan; Kexin Sun; Jie Zhang 041; Meng Wei; Kexin Wang (Comput. Graph., 2024)

Appearance flow estimation for online virtual clothing warping via optimal feature linear assignment. - Kexin Sun; Jing Tao; Peng Zhang 049; Jie Zhang 041 (Image Vis. Comput., 2024)

PFNet: Attribute-aware personalized fashion editing with explainable fashion compatibility analysis. - Kexin Sun; Peng Zhang 049; Jie Zhang 041; Jing Tao; Kexin Yuan (Inf. Process. Manag., 2024)

Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process. - Hongwei Xu; Wei Qin; Yan-Ning Sun; Youlong Lv; Jie Zhang 041 (J. Intell. Manuf., 2024)

LEGAN: A low-light image enhancement generative adversarial network for industrial internet of smart-cameras. - Jing Tao; Junliang Wang; Peng Zhang 049; Jie Zhang 041; Kai-Leung Yung; W. H. Ip (Internet Things, 2024)

A Granular-Computing-Based Data-Sharing Decision-Making Method for Enabling Blockchain-Based Order Tracking in Social Manufacturing. - Jiajun Liu; Pingyu Jiang; Jie Zhang 041 (IEEE Trans. Comput. Soc. Syst., 2024)

Cooperative multi-agent reinforcement learning for multi-area integrated scheduling in wafer fabs. - Ming Wang; Jie Zhang 041; Peng Zhang 049; Mengyu Jin (Int. J. Prod. Res., 2025)

A resilient scheduling framework for multi-robot multi-station welding flow shop scheduling against robot failures. - Ming Wang; Peng Zhang 049; Guoqing Zhang; Kexin Sun; Jie Zhang 041; Mengyu Jin (Robotics Comput. Integr. Manuf., 2025)

Adaptive Geometric Feature Learning Network-Based Point Cloud Segmentation for Radius Measurement of Grid-Stiffened Cylindrical Shell. - Liling Zuo; Jie Zhang 041; Youlong Lyu (IEEE Trans. Instrum. Meas., 2025)

Causal deep learning for explainable vision-based quality inspection under visual interference. - Tianbiao Liang; Tianyuan Liu; Junliang Wang; Jie Zhang 041; Pai Zheng (J. Intell. Manuf., 2025)

A dynamic inference network (DI-Net) for online fabric defect detection in smart manufacturing. - Shuxuan Zhao; Ray Y. Zhong; Chuqiao Xu; Junliang Wang; Jie Zhang 041 (J. Intell. Manuf., 2025)