Jun Zhang 0011 - researchr alias

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Viewing Publication 1 - 35 from 35

2023

A dual-stream deep neural network integrated with adaptive boosting for sleep stagingYongkangjian Fang, Yi Xia, Peng Chen 0001, Jun Zhang 0011, Yongliang Zhang. bspc, 79(Part):104150, 2023. [doi]

A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep LearningJie Gui, Xiaofeng Cong, Yuan Cao 0005, Wenqi Ren, Jun Zhang 0011, Jing Zhang 0037, Jiuxin Cao, Dacheng Tao. ACM Comput. Surv., 55(13s), 2023. [doi]

Exploring incomplete decoupling modeling with window and cross-window mechanism for skeleton-based action recognitionShengze Li, Xin Xiang, Jihong Fang, Jun Zhang 0011, Songsong Cheng, Ke Wang. kbs, 281:111074, December 2023. [doi]

Multiple Classification Network of Concrete Defects Based on Improved EfficientNetV2Jiawei Ni, Bing Wang 0004, Kun Lu, Jun Zhang 0011, Peng Chen 0001, Lejun Pan, Chenlin Zhu, Bing Wang, Wenyan Wang. icic 2023: 626-638 [doi]

Improved Deep Learning-Based Efficientpose Algorithm for Egocentric Marker-Less Tool and Hand Pose Estimation in Manual AssemblyZihan Niu, Yi Xia, Jun Zhang 0011, Bing Wang 0004, Peng Chen 0001. icic 2023: 288-298 [doi]

Efficient and Precise Detection of Surface Defects on PCBs: A YOLO Based ApproachLejun Pan, Wenyan Wang, Kun Lu, Jun Zhang 0011, Peng Chen 0001, Jiawei Ni, Chenlin Zhu, Bing Wang 0004. icic 2023: 601-613 [doi]

AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect DetectionXin Xiang, Zenghui Wang, Jun Zhang 0011, Yi Xia, Peng Chen 0001, Bing Wang 0004. tim, 72:1-12, 2023. [doi]

Improved YOLOv5s Method for Nut Detection on Ultra High Voltage Power TowersLang Xu, Yi Xia, Jun Zhang 0011, Bing Wang 0004, Peng Chen 0001. icic 2023: 277-287 [doi]

Corneal Ulcer Automatic Classification Network Based on Improved Mobile ViTChenlin Zhu, Wenyan Wang, Kun Lu, Jun Zhang 0011, Peng Chen 0001, Lejun Pan, Jiawei Ni, Bing Wang 0004. icic 2023: 614-625 [doi]

2022

Protein-Protein Interaction Sites Prediction Based on an Under-Sampling Strategy and Random Forest AlgorithmMinjie Li, Ziheng Wu, Wenyan Wang, Kun Lu, Jun Zhang 0011, Yuming Zhou, Zhaoquan Chen, Dan Li 0025, Shicheng Zheng, Peng Chen 0001, Bing Wang 0004. tcbb, 19(6):3646-3654, 2022. [doi]

COVID-19 Classification from Chest X-rays Based on Attention and Knowledge DistillationJiaxing Lv, Fazhan Zhu, Kun Lu, Wenyan Wang, Jun Zhang 0011, Peng Chen 0001, Yuan Zhao, Ziheng Wu. icic 2022: 787-798 [doi]

A Real-Time Steel Surface Defect Detection Approach With High AccuracyWenyan Wang, Chunfeng Mi, Ziheng Wu, Kun Lu, Hongming Long, Baigen Pan, Dan Li 0025, Jun Zhang 0011, Peng Chen 0001, Bing Wang 0004. tim, 71:1-10, 2022. [doi]

Transformer Model for Functional Near-Infrared Spectroscopy ClassificationZenghui Wang, Jun Zhang 0011, Xiaochu Zhang, Peng Chen, Bing Wang. titb, 26(6):2559-2569, 2022. [doi]

A Sub-network Aggregation Neural Network for Non-invasive Blood Pressure PredictionXinghui Zhang, Chunhou Zheng, Peng Chen 0001, Jun Zhang 0011, Bing Wang 0004. icic 2022: 753-762 [doi]

A 3D Medical Image Segmentation Framework Fusing Convolution and Transformer FeaturesFazhan Zhu, Jiaxing Lv, Kun Lu, Wenyan Wang, Hongshou Cong, Jun Zhang 0011, Peng Chen 0001, Yuan Zhao, Ziheng Wu. icic 2022: 772-786 [doi]

2021

Recognition and counting of wheat mites in wheat fields by a three-step deep learning methodPeng Chen 0001, Weilu Li, Sijie Yao, Chun Ma, Jun Zhang 0011, Bing Wang 0004, Chunhou Zheng, Chengjun Xie, Dong Liang. ijon, 437:21-30, 2021. [doi]

Imbalance Data Processing Strategy for Protein Interaction Sites PredictionBing Wang 0004, Changqing Mei, Yuanyuan Wang, Yuming Zhou, Mu Tian Cheng, Chunhou Zheng 0001, Lei Wang, Jun Zhang 0011, Peng Chen 0001, Yan Xiong. tcbb, 18(3):985-994, 2021. [doi]

A Comprehensive Survey on Image Dehazing Based on Deep LearningJie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang 0011, Jing Zhang, Dacheng Tao. IJCAI 2021: 4426-4433 [doi]

Paper acceptance prediction at the institutional level based on the combination of individual and network featuresWenyan Wang, Jun Zhang 0011, Fang Zhou, Peng Chen 0001, Bing Wang 0004. scientometrics, 126(2):1581-1597, 2021. [doi]

2020

Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulationPeng Chen 0001, Qingxin Xiao, Jun Zhang 0011, Chengjun Xie, Bing Wang 0004. cea, 176:105612, 2020. [doi]

Discrete Haze Level Dehazing NetworkXiaofeng Cong, Jie Gui, Kai-Chao Miao, Jun Zhang 0011, Bing Wang 0004, Peng Chen 0001. mm 2020: 1828-1836 [doi]

Crop leaf disease grade identification based on an improved convolutional neural networkTao Fang, Peng Chen 0001, Jun Zhang 0011, Bing Wang 0004. jei, 29(01):13004, 2020. [doi]

Application of LSTM for short term fog forecasting based on meteorological elementsKai-Chao Miao, Ting-ting Han, Ye-Qing Yao, Hui Lu, Peng Chen 0001, Bing Wang 0004, Jun Zhang 0011. ijon, 408:285-291, 2020. [doi]

Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural NetworkQian Yan, Baohua Yang, Wenyan Wang, Bing Wang 0004, Peng Chen 0001, Jun Zhang 0011. sensors, 20(12):3535, 2020. [doi]

2019

2018

dbMPIKT: a database of kinetic and thermodynamic mutant protein interactionsQuanya Liu, Peng Chen 0001, Bing Wang, Jun Zhang 0011, Jinyan Li. bmcbi, 19(1), 2018. [doi]

Insect Detection and Classification Based on an Improved Convolutional Neural NetworkDeNan Xia, Peng Chen 0001, Bing Wang, Jun Zhang 0011, Chengjun Xie. sensors, 18(12):4169, 2018. [doi]

2017

Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatographyJun Zhang 0011, Chun-Hou Zheng, Yi Xia, Bing Wang, Peng Chen. ijon, 240:183-190, 2017. [doi]

Utilization of rotation-invariant uniform LBP histogram distribution and statistics of connected regions in automatic image annotation based on multi-label learningSen Xia, Peng Chen, Jun Zhang 0011, Xiaoping Li, Bing Wang. ijon, 228:11-18, 2017. [doi]

2016

Improved sparse representation with low-rank representation for robust face recognitionChun-Hou Zheng, Yi-Fu Hou, Jun Zhang 0011. ijon, 198:114-124, 2016. [doi]

2013

Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based featuresBing Wang, Jun Zhang 0011, Peng Chen 0001, Zhiwei Ji, Shuping Deng, Chi Li. bmcbi, 14(S-8), 2013. [doi]

2011

Discovering the transcriptional modules using microarray data by penalized matrix decompositionJun Zhang 0011, Chun-Hou Zheng, Jin-Xing Liu, Hong-Qiang Wang. cbm, 41(11):1041-1050, 2011. [doi]

2009

Microarray data classification based on ensemble independent component selectionKun-hong Liu, Bo Li 0002, Qing-Qiang Wu, Jun Zhang 0011, Ji-Xiang Du, Guo-Yan Liu. cbm, 39(11):953-960, 2009. [doi]

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