Junliang Wang

发表

Forecasting the yield of wafer by using improved genetic algorithm, high dimensional alternating feature selection and SVM with uneven distribution and high-dimensional data

Qiuhao Xu, Chuqiao Xu, Junliang Wang, 2022, Autonomous Intelligent Systems.

Small and Medium-sized Enterprises Credit Risk Assessment Based on Temporal Knowledge Graphs

Jiangtao Qiu, Siyu Wang, Junliang Wang, 2021, 2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC).

MicroCrack-Net: A Deep Neural Network With Outline Profile-Guided Feature Augmentation and Attention-Based Multiscale Fusion for MicroCrack Detection of Tantalum Capacitors

Yaqin Zhou, Wenjun Zhang, Mingyang Cheng, 2022, IEEE Transactions on Aerospace and Electronic Systems.

A Hybrid Wafer Processing Cycle Prediction Model Based on DPC-Relief-F

Lihui Wu, Junliang Wang, Jie Zhang, 2022, 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE).

Data Mining for Orders’ Lead-Time Forecasting in Wafer Fabrication

Jie Zhang, Junliang Wang, Wei Qin, 2014 .

Real‐time fabric defect detection based on multi‐scale convolutional neural network

Jie Zhang, Junliang Wang, Li Yin, 2020, IET Collaborative Intelligent Manufacturing.

Brain-Inspired Interpretable Network Pruning for Smart Vision-Based Defect Detection Equipment

Ray Y. Zhong, Shuxuan Zhao, Chuqiao Xu, 2023, IEEE Transactions on Industrial Informatics.

Big data analytics for intelligent manufacturing systems: A review

Junliang Wang, Jie Zhang, Chuqiao Xu, 2021 .

Real-time task processing for spinning cyber-physical production systems based on edge computing

Jinsong Bao, Jie Li, Jie Zhang, 2020, Journal of Intelligent Manufacturing.

Fog-IBDIS: Industrial Big Data Integration and Sharing with Fog Computing for Manufacturing Systems

Junliang Wang, Jie Zhang, Peng Zheng, 2019, Engineering.

A Hybrid CNN–LSTM Algorithm for Online Defect Recognition of CO2 Welding

Jinsong Bao, Yiming Zhang, Junliang Wang, 2018, Sensors.

Big data driven cycle time parallel prediction for production planning in wafer manufacturing

Wenjun Chris Zhang, Junliang Wang, Jie Zhang, 2018, Enterp. Inf. Syst..

A collaborative architecture of the industrial internet platform for manufacturing systems

Junliang Wang, Jie Zhang, Chuqiao Xu, 2020, Robotics Comput. Integr. Manuf..

A data-driven robust optimization method for the assembly job-shop scheduling problem under uncertainty

Jie Zhang, Junliang Wang, Peng Zheng, 2020, Int. J. Comput. Integr. Manuf..

An expert knowledge-empowered CNN approach for welding radiographic image recognition

Pai Zheng, Tianyuan Liu, Jinsong Bao, 2023, Adv. Eng. Informatics.

Deformable Convolutional Networks for Efficient Mixed-Type Wafer Defect Pattern Recognition

Xiaoou Li, Junliang Wang, Jie Zhang, 2020, IEEE Transactions on Semiconductor Manufacturing.

AdaBalGAN: An Improved Generative Adversarial Network With Imbalanced Learning for Wafer Defective Pattern Recognition

Junliang Wang, Jie Zhang, Wei-Ting Kary Chien, 2019, IEEE Transactions on Semiconductor Manufacturing.

A new welding path planning method based on point cloud and deep learning

Junliang Wang, Chuqiao Xu, Jie Zhang, 2020, 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE).

A Data Driven Cycle Time Prediction With Feature Selection in a Semiconductor Wafer Fabrication System

Junliang Wang, Jie Zhang, Xiaoxi Wang, 2018, IEEE Transactions on Semiconductor Manufacturing.

Knowledge augmented broad learning system for computer vision based mixed-type defect detection in semiconductor manufacturing

Junliang Wang, Jie Zhang, Chao Lu, 2023, Robotics Comput. Integr. Manuf..

An Explainable Laser Welding Defect Recognition Method Based on Multi-Scale Class Activation Mapping

H. Zheng, Pai Zheng, Tianyuan Liu, 2022, IEEE Transactions on Instrumentation and Measurement.

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, Xiaoxi Wang, 2018, IEEE Transactions on Industrial Informatics.

An adaptive CGAN/IRF-based rescheduling strategy for aircraft parts remanufacturing system under dynamic environment

Junliang Wang, Jie Zhang, Peng Zheng, 2019, Robotics Comput. Integr. Manuf..

Real-time task processing for spinning cyber-physical production systems based on edge computing

Xiaodi Huang, Jie Li, Jinsong Bao, 2020, Journal of Intelligent Manufacturing.

Forecasting the power consumption of a rotor spinning machine by using an adaptive squeeze and excitation convolutional neural network with imbalanced data

Jie Zhang, Junliang Wang, Chuqiao Xu, 2020 .

Big data analytics for cycle time related feature selection in the semiconductor wafer fabrication system

Jie Zhang, Peng Zheng, Junliang Wang, 2020, Comput. Ind. Eng..

Study on the Construction and Application of 3D Visualization Platform for the Yellow River Basin

Tong Wang, Hao Tan, Junliang Wang, 2006, APWeb.

A knowledge augmented image deblurring method with deep learning for in-situ quality detection of yarn production

Ray Y. Zhong, Chuqiao Xu, Junliang Wang, 2022, International Journal of Production Research.

Learning semantic-specific visual representation for laser welding penetration status recognition

Tianyuan Liu, Jinsong Bao, Junliang Wang, 2022 .

A novel resilient scheduling paradigm integrating operation and design for manufacturing systems with uncertainties

Jie Zhang, Junliang Wang, Peng Zheng, 2018, Enterp. Inf. Syst..

Big data analytics for forecasting cycle time in semiconductor wafer fabrication system

Jie Zhang, Junliang Wang, Jie Zhang, 2016 .

Anomaly detection of power consumption in yarn spinning using transfer learning

Jie Zhang, Junliang Wang, Chuqiao Xu, 2021, Comput. Ind. Eng..

Editorial – Industrial intelligence for big data analytics

Ray Y. Zhong, B. Gopalakrishnan, Xun Xu, 2022, Journal of Manufacturing Systems.

Edge-cloud collaborative fabric defect detection based on industrial internet architecture

Ray Y. Zhong, Shuxuan Zhao, Jinsong Bao, 2020, 2020 IEEE 18th International Conference on Industrial Informatics (INDIN).

A fuzzy hierarchical reinforcement learning based scheduling method for semiconductor wafer manufacturing systems

P. Gao, W. Ip, Junliang Wang, 2021, Journal of Manufacturing Systems.

Deep learning for industrial image: challenges, methods for enriching the sample space and restricting the hypothesis space, and possible issue

Junliang Wang, Tianyuan Liu, Jinsong Bao, 2021, Int. J. Comput. Integr. Manuf..

RDMA Reliability Evaluation Model for Large-Scale Data Center Networks

Junliang Wang, Baohong Lin, 2023, 2023 IEEE 3rd International Conference on Computer Communication and Artificial Intelligence (CCAI).

LEGAN: A low-light image enhancement generative adversarial network for industrial internet of smart-cameras

Jie Zhang, Junliang Wang, Jing Tao, 2023, Internet of Things.

Big Data Driven Key Factor Identification for Cycle-time Forecasting of Wafer Lots in Semiconductor Wafer Fabrication System

Junliang Wang, Junliang Wang, 2018 .

Ontology Based Package Design in Fresh e-Commerce Logistics

Junliang Wang, Li-chun Yin, Ray Runyang Zhong, 2022, Expert systems with applications.

An Unequal Deep Learning Approach for 3-D Point Cloud Segmentation

Junliang Wang, Chuqiao Xu, Jie Zhang, 2020, IEEE Transactions on Industrial Informatics.