Jun Zhang

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 58

Top Topics

Mass Spectrometry

Convolutional Neural Network

Defect Detection

Top Venues

Publications

Shengdong Zhang, Xiaoqin Zhang, Wenqi Ren, Linlin Shen, Li Zhao, Jun Zhang
Photo realistic synthetic dataset and multi-scale attention dehazing network. Eng. Appl. Artif. Intell. 133 (2024)
Zenghui Wang, Jun Zhang
Incremental PID Controller-Based Learning Rate Scheduler for Stochastic Gradient Descent. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Tianjin Dai, Peng Chen, Jun Zhang, Bing Wang
IGDACA: Imaging Genomics of Deep Autoencoder Cascade Attention Fusion Networks for Cervical Cancer Prognosis Prediction. ICIC (LNBI 2) (2024)
Shengze Li, Xin Xiang, Jihong Fang, Jun Zhang, Songsong Cheng, Ke Wang
Exploring incomplete decoupling modeling with window and cross-window mechanism for skeleton-based action recognition. Knowl. Based Syst. 281 (2023)
Xin Xiang, Zenghui Wang, Jun Zhang, Yi Xia, Peng Chen, Bing Wang
AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection. IEEE Trans. Instrum. Meas. 72 (2023)
Yongkangjian Fang, Yi Xia, Peng Chen, Jun Zhang, Yongliang Zhang
A dual-stream deep neural network integrated with adaptive boosting for sleep staging. Biomed. Signal Process. Control. 79 (Part) (2023)
Zihan Niu, Yi Xia, Jun Zhang, Bing Wang, Peng Chen
Improved Deep Learning-Based Efficientpose Algorithm for Egocentric Marker-Less Tool and Hand Pose Estimation in Manual Assembly. ICIC (5) (2023)
Chenlin Zhu, Wenyan Wang, Kun Lu, Jun Zhang, Peng Chen, Lejun Pan, Jiawei Ni, Bing Wang
Corneal Ulcer Automatic Classification Network Based on Improved Mobile ViT. ICIC (2) (2023)
Jiawei Ni, Bing Wang, Kun Lu, Jun Zhang, Peng Chen, Lejun Pan, Chenlin Zhu, Bing Wang, Wenyan Wang
Multiple Classification Network of Concrete Defects Based on Improved EfficientNetV2. ICIC (2) (2023)
Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Jiuxin Cao, Dacheng Tao
A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning. ACM Comput. Surv. 55 (13s) (2023)
Lejun Pan, Wenyan Wang, Kun Lu, Jun Zhang, Peng Chen, Jiawei Ni, Chenlin Zhu, Bing Wang
Efficient and Precise Detection of Surface Defects on PCBs: A YOLO Based Approach. ICIC (2) (2023)
Lang Xu, Yi Xia, Jun Zhang, Bing Wang, Peng Chen
Improved YOLOv5s Method for Nut Detection on Ultra High Voltage Power Towers. ICIC (5) (2023)
Wenyan Wang, Chunfeng Mi, Ziheng Wu, Kun Lu, Hongming Long, Baigen Pan, Dan Li, Jun Zhang, Peng Chen, Bing Wang
A Real-Time Steel Surface Defect Detection Approach With High Accuracy. IEEE Trans. Instrum. Meas. 71 (2022)
Zenghui Wang, Jun Zhang, Xiaochu Zhang, Peng Chen, Bing Wang
Transformer Model for Functional Near-Infrared Spectroscopy Classification. IEEE J. Biomed. Health Informatics 26 (6) (2022)
Fazhan Zhu, Jiaxing Lv, Kun Lu, Wenyan Wang, Hongshou Cong, Jun Zhang, Peng Chen, Yuan Zhao, Ziheng Wu
A 3D Medical Image Segmentation Framework Fusing Convolution and Transformer Features. ICIC (1) (2022)
Jiaxing Lv, Fazhan Zhu, Kun Lu, Wenyan Wang, Jun Zhang, Peng Chen, Yuan Zhao, Ziheng Wu
COVID-19 Classification from Chest X-rays Based on Attention and Knowledge Distillation. ICIC (1) (2022)
Minjie Li, Ziheng Wu, Wenyan Wang, Kun Lu, Jun Zhang, Yuming Zhou, Zhaoquan Chen, Dan Li, Shicheng Zheng, Peng Chen, Bing Wang
Protein-Protein Interaction Sites Prediction Based on an Under-Sampling Strategy and Random Forest Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (6) (2022)
Xinghui Zhang, Chunhou Zheng, Peng Chen, Jun Zhang, Bing Wang
A Sub-network Aggregation Neural Network for Non-invasive Blood Pressure Prediction. ICIC (1) (2022)
Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao
A Comprehensive Survey on Image Dehazing Based on Deep Learning. CoRR (2021)
Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao
A Comprehensive Survey on Image Dehazing Based on Deep Learning. IJCAI (2021)
Peng Chen, Weilu Li, Sijie Yao, Chun Ma, Jun Zhang, Bing Wang, Chunhou Zheng, Chengjun Xie, Dong Liang
Recognition and counting of wheat mites in wheat fields by a three-step deep learning method. Neurocomputing 437 (2021)
Bing Wang, Changqing Mei, Yuanyuan Wang, Yuming Zhou, Mu-Tian Cheng, Chunhou Zheng, Lei Wang, Jun Zhang, Peng Chen, Yan Xiong
Imbalance Data Processing Strategy for Protein Interaction Sites Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (2021)
Wenyan Wang, Jun Zhang, Fang Zhou, Peng Chen, Bing Wang
Paper acceptance prediction at the institutional level based on the combination of individual and network features. Scientometrics 126 (2) (2021)
Qian Yan, Baohua Yang, Wenyan Wang, Bing Wang, Peng Chen, Jun Zhang
Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network. Sensors 20 (12) (2020)
Peng Chen, Qingxin Xiao, Jun Zhang, Chengjun Xie, Bing Wang
Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation. Comput. Electron. Agric. 176 (2020)
Tao Fang, Peng Chen, Jun Zhang, Bing Wang
Crop leaf disease grade identification based on an improved convolutional neural network. J. Electronic Imaging 29 (1) (2020)
Xiaofeng Cong, Jie Gui, Kai-Chao Miao, Jun Zhang, Bing Wang, Peng Chen
Discrete Haze Level Dehazing Network. ACM Multimedia (2020)
Kai-Chao Miao, Ting-Ting Han, Ye-Qing Yao, Hui Lu, Peng Chen, Bing Wang, Jun Zhang
Application of LSTM for short term fog forecasting based on meteorological elements. Neurocomputing 408 (2020)
Tao Fang, Peng Chen, Jun Zhang, Bing Wang
Identification of Apple Leaf Diseases Based on Convolutional Neural Network. ICIC (1) (2019)
Jie Hang, Dexiang Zhang, Peng Chen, Jun Zhang, Bing Wang
Classification of Plant Leaf Diseases Based on Improved Convolutional Neural Network. Sensors 19 (19) (2019)
Guangyu Wang, Bing Dai, Wenyan Wang, Hongming Long, Jun Zhang, Peng Chen, Bing Wang
An Optimization Regression Model for Predicting Average Temperature of Core Dead Stock Column. ICIC (3) (2019)
Wenyan Wang, Guangyu Wang, Jun Zhang, Peng Chen, Bing Wang
Ranking Research Institutions Based on the Combination of Individual and Network Features. ICIC (3) (2019)
Ye Wang, Changqing Mei, Yuming Zhou, Yan Wang, Chunhou Zheng, Xiao Zhen, Yan Xiong, Peng Chen, Jun Zhang, Bing Wang
Semi-supervised prediction of protein interaction sites from unlabeled sample information. BMC Bioinform. (25) (2019)
ShanShan Hu, Chenglin Zhang, Peng Chen, Pengying Gu, Jun Zhang, Bing Wang
Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks. BMC Bioinform. (25) (2019)
Lin-Wei Ge, Jun Zhang, Yi Xia, Peng Chen, Bing Wang, Chun-Hou Zheng
Deep spatial attention hashing network for image retrieval. J. Vis. Commun. Image Represent. 63 (2019)
Panpan Lu, Kun Lu, Wenyan Wang, Jun Zhang, Peng Chen, Bing Wang
Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model. ICIC (2) (2019)
Qingxin Xiao, Weilu Li, Yuanzhong Kai, Peng Chen, Jun Zhang, Bing Wang
Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network. BMC Bioinform. (25) (2019)
Ting-Ting Han, Kai-Chao Miao, Ye-Qing Yao, Cheng-Xiao Liu, Jian-Ping Zhou, Hui Lu, Peng Chen, Xia Yi, Bing Wang, Jun Zhang
Convolutional Neural Network for Short Term Fog Forecasting Based on Meteorological Elements. ICIC (3) (2018)
Zhi Yang, Feng-Lin Du, Yi Xia, Chun-Hou Zheng, Jun Zhang
Automatic License Plate Recognition Based on Faster R-CNN Algorithm. ICIC (3) (2018)
Run-xu Tan, Jun Zhang, Peng Chen, Bing Wang, Yi Xia
Cells Counting with Convolutional Neural Network. ICIC (3) (2018)
Lili Peng, Fang Chen, Nian Zhou, Peng Chen, Jun Zhang, Bing Wang
Prediction of Protein-Protein Interaction Sites Combing Sequence Profile and Hydrophobic Information. ICIC (1) (2018)
Nian Zhou, Lingshan Zhou, Lili Peng, Bing Wang, Peng Chen, Jun Zhang
Verifying TCM Syndrome Hypothesis Based on Improved Latent Tree Model. ICIC (2) (2018)
Wei-wei Gao, Jun Zhang, Peng Chen, Bing Wang, Yi Xia
Chinese Text Detection Using Deep Learning Model and Synthetic Data. ICIC (1) (2018)
DeNan Xia, Peng Chen, Bing Wang, Jun Zhang, Chengjun Xie
Insect Detection and Classification Based on an Improved Convolutional Neural Network. Sensors 18 (12) (2018)
Quanya Liu, Peng Chen, Bing Wang, Jun Zhang, Jinyan Li
dbMPIKT: a database of kinetic and thermodynamic mutant protein interactions. BMC Bioinform. 19 (1) (2018)
Jun Zhang, Hui Lu, Yi Xia, Ting-Ting Han, Kai-Chao Miao, Ye-Qing Yao, Cheng-Xiao Liu, Jian-Ping Zhou, Peng Chen, Bing Wang
Deep Convolutional Neural Network for Fog Detection. ICIC (2) (2018)
Jun Zhang, Chun-Hou Zheng, Yi Xia, Bing Wang, Peng Chen
Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography. Neurocomputing 240 (2017)
Jun Zhang, Muchun Zhu, Peng Chen, Bing Wang
DrugRPE: Random projection ensemble approach to drug-target interaction prediction. Neurocomputing 228 (2017)
Wenyan Wang, Kun Lu, Rui Hong, Peng Chen, Jun Zhang, Bing Wang
A Machine Vision Method for Automatic Circular Parts Detection Based on Optimization Algorithm. ICIC (1) (2017)
Sen Xia, Peng Chen, Jun Zhang, Xiaoping Li, Bing Wang
Utilization of rotation-invariant uniform LBP histogram distribution and statistics of connected regions in automatic image annotation based on multi-label learning. Neurocomputing 228 (2017)
Feng-Lin Du, Jia-Xing Li, Zhi Yang, Peng Chen, Bing Wang, Jun Zhang
CAPTCHA Recognition Based on Faster R-CNN. ICIC (2) (2017)
ShanShan Hu, Peng Chen, Jun Zhang, Bing Wang
Prediction of Hot Spots Based on Physicochemical Features and Relative Accessible Surface Area of Amino Acid Sequence. ICIC (1) (2016)
Zhen Sun, Jun Zhang, Chun-Hou Zheng, Bing Wang, Peng Chen
Accurate Prediction of Protein Hot Spots Residues Based on Gentle AdaBoost Algorithm. ICIC (1) (2016)
Hao Shen, Wen Zhang, Peng Chen, Jun Zhang, Aiqin Fang, Bing Wang
A Feature Selection Scheme for Accurate Identification of Alzheimer's Disease. IWBBIO (2016)
Jun Zhang, Yi Xia, Chun-Hou Zheng, Bing Wang, Xiang Zhang, Peng Chen
Combine multiple mass spectral similarity measures for compound identification. Int. J. Data Min. Bioinform. 15 (1) (2016)
Peng Chen, ShanShan Hu, Jun Zhang, Xin Gao, Jinyan Li, Junfeng Xia, Bing Wang
A Sequence-Based Dynamic Ensemble Learning System for Protein Ligand-Binding Site Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 13 (5) (2016)
Chun-Hou Zheng, Yi-Fu Hou, Jun Zhang
Improved sparse representation with low-rank representation for robust face recognition. Neurocomputing 198 (2016)
Zhongwen Zhang, Peng Chen, Jun Zhang, Bing Wang
Inferring Disease-Related Domain Using Network-Based Method. ICIC (1) (2016)
Zhi-Shui Zhang, Li-Li Cao, Jun Zhang, Peng Chen, Chun-Hou Zheng
Prediction of Molecular Substructure Using Mass Spectral Data Based on Deep Learning. ICIC (2) (2015)
Sen Xia, Peng Chen, Jun Zhang, Xiaoping Li, Bing Wang
A Multi-feature Fusion Method for Automatic Multi-label Image Annotation with Weighted Histogram Integral and Closure Regions Counting. ICIC (3) (2015)
Peng Chen, ShanShan Hu, Bing Wang, Jun Zhang
Sequence-Based Random Projection Ensemble Approach to Identify Hotspot Residues from Whole Protein Sequence. ICIC (2) (2015)
Bing Wang, Liyan Du, Jun Zhang, Peng Chen
A hierarchical model for identifying mild cognitive impairment. ICNC (2015)
Li-Li Cao, Zhi-Shui Zhang, Peng Chen, Jun Zhang
Compound Identification Using Random Projection for Gas Chromatography-Mass Spectrometry Data. ICIC (3) (2015)
Peng Chen, ShanShan Hu, Bing Wang, Jun Zhang
A Random Projection Ensemble Approach to Drug-Target Interaction Prediction. ICIC (3) (2015)
Chun-Hou Zheng, Wen Sha, Zhan-Li Sun, Jun Zhang
Inferring Transcriptional Modules from Microarray and ChIP-Chip Data Using Penalized Matrix Decomposition. ICIC (2) (2013)
Lin Yuan, Wen Sha, Jun Zhang, Chun-Hou Zheng, Junfeng Xia
Differential coexpression analysis in gene modules level and its application to type 2 diabetes. BIBM (2013)
Bing Wang, Jun Zhang, Peng Chen, Zhiwei Ji, Shuping Deng, Chi Li
Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features. BMC Bioinform. 14 (S-8) (2013)
Jun Zhang, Qingwei Gao, Chunhou Zheng
Retention Index System Transformation Method Incorporated Optimal Molecular Descriptors through Particle Swarm Optimization. ICIC (2) (2012)
Zhan-Li Sun, Chun-Hou Zheng, Qingwei Gao, Jun Zhang, Dexiang Zhang
Tumor Classification Using Eigengene-Based Classifier Committee Learning Algorithm. IEEE Signal Process. Lett. 19 (8) (2012)
Bing Wang, Peng Chen, Jun Zhang
Protein Interface Residues Prediction Based on Amino Acid Properties Only. ICIC (3) (2011)
Jun Zhang, Chun-Hou Zheng, Jin-Xing Liu, Hong-Qiang Wang
Discovering the transcriptional modules using microarray data by penalized matrix decomposition. Comput. Biol. Medicine 41 (11) (2011)
Jun Zhang, Bing Wang, Xiang Zhang
Optimal Selection of Support Vector Regression Parameters and Molecular Descriptors for Retention Indices Prediction. ICIC (2) (2010)
Kun-Hong Liu, Bo Li, Jun Zhang, Ji-Xiang Du
Ensemble component selection for improving ICA based microarray data prediction models. Pattern Recognit. 42 (7) (2009)
Kun-Hong Liu, Bo Li, Qingqiang Wu, Jun Zhang, Ji-Xiang Du, Guo-Yan Liu
Microarray data classification based on ensemble independent component selection. Comput. Biol. Medicine 39 (11) (2009)
Kun-Hong Liu, Bo Li, Jun Zhang, Ji-Xiang Du
A New Approach to Improving ICA-Based Models for the Classification of Microarray Data. ISNN (3) (2009)
Kun-Hong Liu, Jun Zhang, Bo Li, Ji-Xiang Du
A GA-Based Approach to ICA Feature Selection: An Efficient Method to Classify Microarray Datasets. ISNN (2) (2009)