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2020 – today
- 2025
[j28]Junliang Wang, Baohong Lin, Jiao Zhang, Mengyu Sun, Yongchen Pan:
An optimized RDMA QP communication mechanism for hyperscale AI infrastructure. Clust. Comput. 28(1): 66 (2025)- 2024
- [j27]Qiuhao Xu, Pengjie Gao
, Junliang Wang, Jie Zhang, Andrew W. H. Ip, Chris W. J. Zhang:
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. Adv. Eng. Informatics 60: 102403 (2024) - [j26]Chao Lu, Jiajun Zhou, Liang Gao, Xinyu Li, Junliang Wang:
Modeling and multi-objective optimization for energy-aware scheduling of distributed hybrid flow-shop. Appl. Soft Comput. 156: 111508 (2024) - [j25]Jie Ren, Jie Zhang, Junliang Wang, Xueyi Zhao:
Recursive signal denoising method for predictive maintenance of equipment by using deep learning based temporal masking. Comput. Ind. Eng. 188: 109921 (2024) - [j24]Jing Tao, Junliang Wang, Peng Zhang, Jie Zhang, Kai-Leung Yung, W. H. Ip:
LEGAN: A low-light image enhancement generative adversarial network for industrial internet of smart-cameras. Internet Things 25: 101054 (2024) - [c17]Xinting Liao, Jie Zhang, Junliang Wang:
Trustworthy dual-scale defect detection network for diversified electronic products. CASE 2024: 1497-1502 - [c16]Zixun Zhu, Jie Zhang, Junliang Wang, Mingzhi Zhang:
Lightweight Detection Method for Plaid Pattern Defects with Rank Self-selection Decomposition. ICAC 2024: 1-6 - [i3]Junliang Wang, Qinghua Zhang, Guanhua Zhu, Guoxi Sun:
Utilizing Autoregressive Networks for Full Lifecycle Data Generation of Rolling Bearings for RUL Prediction. CoRR abs/2401.01119 (2024) - 2023
- [j23]Tianyuan Liu, Hangbin Zheng, Pai Zheng, Jinsong Bao, Junliang Wang, Xiaojia Liu, Changqi Yang:
An expert knowledge-empowered CNN approach for welding radiographic image recognition. Adv. Eng. Informatics 56: 101963 (2023) - [j22]Shuxuan Zhao, Ray Y. Zhong, Junliang Wang, Chuqiao Xu, Jie Zhang:
Unsupervised fabric defects detection based on spatial domain saliency and features clustering. Comput. Ind. Eng. 185: 109681 (2023) - [j21]Li Yin, Ray Runyang Zhong, Junliang Wang:
Ontology based package design in fresh E-Commerce logistics. Expert Syst. Appl. 212: 118783 (2023) - [j20]Chuqiao Xu, Junliang Wang, Jing Tao, Jie Zhang, Ray Y. Zhong:
A knowledge augmented image deblurring method with deep learning for in-situ quality detection of yarn production. Int. J. Prod. Res. 61(13): 4220-4236 (2023) - [j19]Junliang Wang, Pengjie Gao, Jie Zhang, Chao Lu, Bo Shen:
Knowledge augmented broad learning system for computer vision based mixed-type defect detection in semiconductor manufacturing. Robotics Comput. Integr. Manuf. 81: 102513 (2023) - [j18]Junliang Wang, Shuxuan Zhao, Chuqiao Xu, Jie Zhang, Ray Y. Zhong:
Brain-Inspired Interpretable Network Pruning for Smart Vision-Based Defect Detection Equipment. IEEE Trans. Ind. Informatics 19(2): 1666-1673 (2023) - [j17]Juxing Zhu, Ning Huang, Junliang Wang, Xiaopeng Qin:
Availability Model for Data Center Networks With Dynamic Migration and Multiple Traffic Flows. IEEE Trans. Netw. Serv. Manag. 20(3): 2975-2989 (2023) - [c15]Junhong Qian, Youlong Lv, Yiping Gao, Junliang Wang:
Frustum-LDGCNN: A High Efficient 3D Object Detection Network with Frustum Proposal. CASE 2023: 1-6 - [c14]Jie Ren, Jie Zhang, Xueyi Zhao, Junliang Wang:
A Two-Stage Adaptive Method for Predicting the Remaining Useful Life of Winders. CASE 2023: 1-6 - [i2]Junliang Wang, Qinghua Zhang, Guanhua Zhu, Guoxi Sun:
Utilizing VQ-VAE for End-to-End Health Indicator Generation in Predicting Rolling Bearing RUL. CoRR abs/2311.10525 (2023) - [i1]Junliang Wang, Qinghua Zhang, Guanhua Zhu, Guoxi Sun:
Utilizing Multiple Inputs Autoregressive Models for Bearing Remaining Useful Life Prediction. CoRR abs/2311.16192 (2023) - 2022
- [j16]Qiuhao Xu, Chuqiao Xu, Junliang Wang:
Forecasting the yield of wafer by using improved genetic algorithm, high dimensional alternating feature selection and SVM with uneven distribution and high-dimensional data. Auton. Intell. Syst. 2(1): 24 (2022) - [j15]Peng Zheng, Peng Zhang, Junliang Wang, Jie Zhang, Changqi Yang, Yongqiao Jin:
A data-driven robust optimization method for the assembly job-shop scheduling problem under uncertainty. Int. J. Comput. Integr. Manuf. 35(10-11): 1043-1058 (2022) - [j14]Tianyuan Liu, Jinsong Bao, Junliang Wang, Jiacheng Wang:
Deep learning for industrial image: challenges, methods for enriching the sample space and restricting the hypothesis space, and possible issue. Int. J. Comput. Integr. Manuf. 35(10-11): 1077-1106 (2022) - [j13]Mingyang Cheng, Chuqiao Xu, Junliang Wang, Wenjun Zhang, Yaqin Zhou, Jie Zhang:
MicroCrack-Net: A Deep Neural Network With Outline Profile-Guided Feature Augmentation and Attention-Based Multiscale Fusion for MicroCrack Detection of Tantalum Capacitors. IEEE Trans. Aerosp. Electron. Syst. 58(6): 5141-5152 (2022) - [j12]Tianyuan Liu, Hangbin Zheng, Jinsong Bao, Pai Zheng, Junliang Wang, Changqi Yang, Jun Gu:
An Explainable Laser Welding Defect Recognition Method Based on Multi-Scale Class Activation Mapping. IEEE Trans. Instrum. Meas. 71: 1-12 (2022) - [c13]Jiabin Dai, Jie Zhang, Junliang Wang, Lihui Wu:
A Hybrid Wafer Processing Cycle Prediction Model Based on DPC-Relief-F. CASE 2022: 34-39 - [c12]Mingyang Cheng, Junliang Wang, Yaqin Zhou, Chuqiao Xu, Ying Liu, Jie Zhang:
A Convolutional Neural Network with Equal-Resolution Enhancement and Gradual Attention of Features for Tiny Target Detection. CASE 2022: 40-45 - 2021
- [j11]Chuqiao Xu, Junliang Wang, Jie Zhang, Xiaoou Li:
Anomaly detection of power consumption in yarn spinning using transfer learning. Comput. Ind. Eng. 152: 107015 (2021) - [j10]Junliang Wang, Chuqiao Xu, Lu Dai, Jie Zhang, Ray Y. Zhong:
An Unequal Deep Learning Approach for 3-D Point Cloud Segmentation. IEEE Trans. Ind. Informatics 17(12): 7913-7922 (2021) - [c11]Chuanyang Hong, Meng Tan, Siyu Wang, Junliang Wang, Mu Li, Jiangtao Qiu:
Small and Medium-sized Enterprises Credit Risk Assessment Based on Temporal Knowledge Graphs. ICCI*CC 2021: 166-172 - 2020
- [j9]Junliang Wang, Peng Zheng, Jie Zhang:
Big data analytics for cycle time related feature selection in the semiconductor wafer fabrication system. Comput. Ind. Eng. 143: 106362 (2020) - [j8]Tianyuan Liu, Jinsong Bao, Junliang Wang, Yiming Zhang:
A Coarse-Grained Regularization Method of Convolutional Kernel for Molten Pool Defect Identification. J. Comput. Inf. Sci. Eng. 20(2) (2020) - [j7]Shiyong Yin, Jinsong Bao, Jie Zhang, Jie Li, Junliang Wang, Xiaodi Huang:
Real-time task processing for spinning cyber-physical production systems based on edge computing. J. Intell. Manuf. 31(8): 2069-2087 (2020) - [j6]Junliang Wang, Chuqiao Xu, Jie Zhang, Jingsong Bao, Ray Zhong:
A collaborative architecture of the industrial internet platform for manufacturing systems. Robotics Comput. Integr. Manuf. 61: 101854 (2020) - [c10]Chuqiao Xu, Junliang Wang, Jie Zhang, Chao Lu:
A new welding path planning method based on point cloud and deep learning. CASE 2020: 786-791 - [c9]Junliang Wang, Kaiyou Yuan, Zehan Shi:
Multi-grained rough set in job guidance for college graduates. CyberC 2020: 268-271 - [c8]Huabao Zhong, Zhang Fan, Liyin Xie, Xu Bin, Junliang Wang, Guijun Liu, Dong Lin:
Feature Based Deep Retinex for Low-Light Image Enhancement. ICAIP 2020: 66-71 - [c7]Shuxuan Zhao, Junliang Wang, Jie Zhang, Jinsong Bao, Ray Zhong:
Edge-cloud collaborative fabric defect detection based on industrial internet architecture. INDIN 2020: 483-487
2010 – 2019
- 2019
- [j5]Junliang Wang, Peng Zheng, Wei Qin, Tengda Li, Jie Zhang:
A novel resilient scheduling paradigm integrating operation and design for manufacturing systems with uncertainties. Enterp. Inf. Syst. 13(4): 430-447 (2019) - [j4]Peng Zheng, Junliang Wang, Jie Zhang, Changqi Yang, Yongqiao Jin:
An adaptive CGAN/IRF-based rescheduling strategy for aircraft parts remanufacturing system under dynamic environment. Robotics Comput. Integr. Manuf. 58: 230-238 (2019) - [c6]Junjie He, Junliang Wang, Lu Dai, Jie Zhang, Jingsong Bao:
An Adaptive Interval Forecast CNN Model for Fault Detection Method. CASE 2019: 602-607 - [c5]Chuqiao Xu, Xin Liu, Junliang Wang, Jie Zhang, Jin Cao, Wei Qin:
An Improved GA-KRR Nested Learning Approach for Refrigeration Compressor Performance Forecasting*. CASE 2019: 622-627 - [c4]Xuezhi Bao, Deqiang Xiao, Baochun He, Wenchao Gao, Junliang Wang, Fucang Jia:
Prediction of Liver Respiratory Motion Based on Machine Learning. ROBIO 2019: 1228-1233 - 2018
- [j3]Junliang Wang, Jungang Yang, Jie Zhang, Xiaoxi Wang, Wenjun Chris Zhang:
Big data driven cycle time parallel prediction for production planning in wafer manufacturing. Enterp. Inf. Syst. 12(6): 714-732 (2018) - [j2]Tianyuan Liu, Jinsong Bao, Junliang Wang, Yiming Zhang:
A Hybrid CNN-LSTM Algorithm for Online Defect Recognition of CO2 Welding. Sensors 18(12): 4369 (2018) - [j1]Junliang Wang, Jie Zhang, Xiaoxi Wang:
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. IEEE Trans. Ind. Informatics 14(2): 748-758 (2018) - 2015
- [c3]Litong Nie, Zhigong Wang, Lu Tang, Junliang Wang, Luosi Gao:
A CMOS charge pump with dual compensation amplifiers for phase-locked loops synthesizer. ASICON 2015: 1-4
2000 – 2009
- 2009
- [c2]Junliang Wang, Ting Luo, Meng Dai, Yanfang Tian:
UV NLOS Communications Atmospheric Channel Model and Its Performance Analysis. CSIE (1) 2009: 85-88 - 2006
- [c1]Junliang Wang, Tong Wang, Jiyong Zhang, Hao Tan, Liupeng He, Ji Cheng:
Study on the Construction and Application of 3D Visualization Platform for the Yellow River Basin. APWeb 2006: 1053-1058
Coauthor Index
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