Study on the Construction and Application of 3D Visualization Platform for the Yellow River Basin. - Junliang Wang; Tong Wang; Jiyong Zhang; Hao Tan; Liupeng He; Ji Cheng (APWeb, 2006)

UV NLOS Communications Atmospheric Channel Model and Its Performance Analysis. - Junliang Wang; Ting Luo; Meng Dai; Yanfang Tian (CSIE (1), 2009)

A CMOS charge pump with dual compensation amplifiers for phase-locked loops synthesizer. - Litong Nie; Zhigong Wang; Lu Tang; Junliang Wang; Luosi Gao (ASICON, 2015)

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)

A Hybrid CNN-LSTM Algorithm for Online Defect Recognition of CO2 Welding. - Tianyuan Liu; Jinsong Bao; Junliang Wang; Yiming Zhang (Sensors, 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)

Prediction of Liver Respiratory Motion Based on Machine Learning. - Xuezhi Bao; Deqiang Xiao; Baochun He; Wenchao Gao; Junliang Wang; Fucang Jia (ROBIO, 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)

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)

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

Multi-grained rough set in job guidance for college graduates. - Junliang Wang; Kaiyou Yuan; Zehan Shi (CyberC, 2020)

Feature Based Deep Retinex for Low-Light Image Enhancement. - Huabao Zhong; Zhang Fan; Liyin Xie; Xu Bin; Junliang Wang; Guijun Liu; Dong Lin (ICAIP, 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)

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)

A Coarse-Grained Regularization Method of Convolutional Kernel for Molten Pool Defect Identification. - Tianyuan Liu; Jinsong Bao; Junliang Wang; Yiming Zhang (J. Comput. Inf. Sci. Eng., 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)

Small and Medium-sized Enterprises Credit Risk Assessment Based on Temporal Knowledge Graphs. - Chuanyang Hong; Meng Tan; Siyu Wang; Junliang Wang; Mu Li; Jiangtao Qiu (ICCI*CC, 2021)

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

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 (Auton. Intell. Syst., 2022)

Deep learning for industrial image: challenges, methods for enriching the sample space and restricting the hypothesis space, and possible issue. - Tianyuan Liu; Jinsong Bao; Junliang Wang; Jiacheng Wang (Int. J. Comput. Integr. Manuf., 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)

An Explainable Laser Welding Defect Recognition Method Based on Multi-Scale Class Activation Mapping. - Tianyuan Liu; Hangbin Zheng; Jinsong Bao; Pai Zheng; Junliang Wang; Changqi Yang; Jun Gu (IEEE Trans. Instrum. Meas., 2022)

Frustum-LDGCNN: A High Efficient 3D Object Detection Network with Frustum Proposal. - Junhong Qian; Youlong Lv; Yiping Gao; Junliang Wang (CASE, 2023)

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

Utilizing VQ-VAE for End-to-End Health Indicator Generation in Predicting Rolling Bearing RUL. - Junliang Wang; Qinghua Zhang; Guanhua Zhu; Guoxi Sun (CoRR, 2023)

Utilizing Multiple Inputs Autoregressive Models for Bearing Remaining Useful Life Prediction. - Junliang Wang; Qinghua Zhang; Guanhua Zhu; Guoxi Sun (CoRR, 2023)

Ontology based package design in fresh E-Commerce logistics. - Li Yin; Ray Runyang Zhong; Junliang Wang (Expert Syst. Appl., 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)

An expert knowledge-empowered CNN approach for welding radiographic image recognition. - Tianyuan Liu; Hangbin Zheng; Pai Zheng; Jinsong Bao; Junliang Wang; Xiaojia Liu; Changqi Yang (Adv. Eng. Informatics, 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)

Availability Model for Data Center Networks With Dynamic Migration and Multiple Traffic Flows. - Juxing Zhu; Ning Huang; Junliang Wang; Xiaopeng Qin (IEEE Trans. Netw. Serv. Manag., 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)

Trustworthy dual-scale defect detection network for diversified electronic products. - Xinting Liao; Jie Zhang; Junliang Wang (CASE, 2024)

Lightweight Detection Method for Plaid Pattern Defects with Rank Self-selection Decomposition. - Zixun Zhu; Jie Zhang; Junliang Wang; Mingzhi Zhang (ICAC, 2024)

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)

Modeling and multi-objective optimization for energy-aware scheduling of distributed hybrid flow-shop. - Chao Lu 008; Jiajun Zhou; Liang Gao 001; Xinyu Li 001; Junliang Wang (Appl. Soft Comput., 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)

Utilizing Autoregressive Networks for Full Lifecycle Data Generation of Rolling Bearings for RUL Prediction. - Junliang Wang; Qinghua Zhang; Guanhua Zhu; Guoxi Sun (CoRR, 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)

Convolutional Retentive Network for EEG Decoding. - Junliang Wang; Wenlong Hang; Shuang Liang 015; Qiong Wang 001; Badong Chen; Jing Qin 001 (ICASSP, 2025)

Weir: Delay-based RNIC Cache Control Software Middleware for Scalable RDMA Networks. - Yongchen Pan; Jiao Zhang; Yuxuan Hu; Zirui Wan; Baohong Lin; Junliang Wang; Huimin Luo (INFOCOM, 2025)

An optimized RDMA QP communication mechanism for hyperscale AI infrastructure. - Junliang Wang; Baohong Lin; Jiao Zhang; Mengyu Sun; Yongchen Pan (Clust. Comput., 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)