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Jun Zhang 0011

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affiliation: Anhui University, Institute of Health Sciences, School of Electronic Engineering and Automation, Hefei, China
affiliation: Anhui University, School of Electronic Science and Technology, Hefei, China
affiliation (PhD 2007): University of Science and Technology of China, Hefei, China

Other persons with the same name

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Jun Zhang — disambiguation page
Jun Zhang 0001 — University of Kentucky, Lexington, KY, USA
Jun Zhang 0002 — Iowa State University, Ames, IO, USA
Jun Zhang 0003 — Hanyang University, Division of Electrical Engineering, Ansan, Korea (and 4 more)
Jun Zhang 0004 — Hong Kong Polytechnic University, Department of Electronic and Information Engineering, Hong Kong (and 2 more)
Jun Zhang 0005 — Nanyang Technological University, School of Computer Engineering, Singapore
Jun Zhang 0006 — University of Wisconsin-Milwaukee, Department of Electrical Engineering and Computer Science, WI, USA (and 1 more)
Jun Zhang 0007 — Beijing Institute of Technology, National Engineering Laboratory for Big Data Application Technologies for Comprehensive Traffic, China (and 1 more)
Jun Zhang 0008 — Pitney Bowes, Shelton, CT, USA (and 1 more)
Jun Zhang 0009 — University of Michigan, Department of Psychology, Ann Arbor, MI, USA

Jun Zhang 0010 — Swinburne University of Technology, School of Software and Electrical Engineering, Hawthorn, Australia (and 2 more)
Jun Zhang 0012 — Northwestern University, College of Information Science and Engineering, Evanston, IL, USA
Jun Zhang 0013 — Hunan University, Changsha, Hunan, China
Jun Zhang 0014 — Huazhong University of Science and Technology, Wuhan, China
Jun Zhang 0015 — Northwestern Polytechnical University, Xian, China
Jun Zhang 0016 — University of Edinburgh, School of Engineering, UK (and 1 more)
Jun Zhang 0017 — Hefei University of Technology, School of Computer Science and Information Engineering, China
Jun Zhang 0018 — Tencent AI Lab, Shenzhen, China (and 3 more)
Jun Zhang 0019 — TELECOM Paris, France (and 3 more)
Jun Zhang 0020 — University of Electronic Science and Technology of China, School of Computer Science and Engineering, Chengdu, China
Jun Zhang 0021 — University of Science and Technology of China, School of Management, Hefei, China (and 2 more)
Jun Zhang 0022 — University of Wollongong, Faculty of Engineering and Information Sciences, NSW, Australia
Jun Zhang 0023 — Nanjing University of Posts and Telecommunications, Jiangsu Key Laboratory of Wireless Communications, China (and 2 more)
Jun Zhang 0024 — Nanjing University of Science and Technology, School of Science, China
Jun Zhang 0025 — University of Nevada, Reno, NV, USA (and 1 more)
Jun Zhang 0026 — Guangdong University of Technology, School of Information Engineering, Guangzhou, China (and 2 more)
Jun Zhang 0027 — Shenzhen University, Shenzhen-Hong Kong Joint Research Center for Applied Statistical Sciences, College of Mathematics and Statistics, China
Jun Zhang 0028 — Guangdong University of Technology, School of Information Engineering, Guangzhou, China
Jun Zhang 0029 — Xiangtan University, Information Engineering College, Hunan, China
Jun Zhang 0030 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
Jun Zhang 0031 — Capital Normal University, School of Mathematical Sciences, Beijing, China (and 2 more)
Jun Zhang 0032 — University of Science and Technology of China, Hefei, China (and 1 more)
Jun Zhang 0033 — Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, Beijing, China
Jun Zhang 0034 — Chinese Academy of Sciences, Hefei Institutes of Physical Science, High Magnetic Field Laboratory, China (and 1 more)
Jun Zhang 0035 — Nanjing Audit University, Institute for Social and Economic Research, China (and 1 more)
Jun Zhang 0036 — Queen Mary University of London, UK
Jun Zhang 0037 — Capital University of Economics and Business, School of Information, Beijing, China
Jun Zhang 0038 — Shanghai University, School of Computer Engineering and Science, China (and 1 more)
Jun Jason Zhang (aka: Jun Zhang 0040) — Wuhan University, School of Electrical Engineering and Automation, Wuhan, China (and 3 more)
Jun Zhang 0041 — Heilongjiang Province Land Reclamation Headquarters General Hospital, Department of Rehabilitation, Harbin, China
Jun Zhang 0042 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
Jun Zhang 0043 — Dalian University of Technology, Mechanical Engineering School, China
Jun Zhang 0044 — National University of Defense Technology, Science and Technology on Automatic Target Recognition Laboratory, Changsha, China
Jun Zhang 0045 — Xidian University, School of Artificial Intelligence, MOE Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China
Jun Zhang 0046 — Fuzhou University, School of Mechanical Engineering and Automation, China (and 1 more)
Jun Zhang 0047 — Guizhou University of Finance and Economics, Computational Mathematics Research Center, Guiyang, China
Jun Zhang 0048 — Dalian University of Technology, School of Software, Key Laboratory for Ubiquitous Network and Service Software of Liaoning Province, China
Jun Zhang 0049 — Shenzhen University, Educational Technology Department, China (and 1 more)
Jun Zhang 0050 — Hebei University of Technology, School of Artificial Intelligence, Hebei Province Key Laboratory of Big Data Calculation, Tianjin, China
Jun Zhang 0051 — Zhejiang University, College of Electrical Engineering, Hangzhou, China
Jun Zhang 0052 — Tsinghua University, Department of Computer Science and Technology, China (and 1 more)
Jun Zhang 0053 — Northwest A&F University, College of Mechanical and Electronic Engineering, Yangling, China (and 1 more)
Jun Zhang 0054 — Hainan University, School of Economics and Management, Haikou, China
Jun Zhang 0055 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
Jun Zhang 0056 — Heilongjiang Province Land Reclamation Headquarters General Hospital, Harbin, China
Jun Zhang 0057 — Nanjing University of Posts and Telecommunications, College of Electronic and Optical Engineering / College of Microelectronics, China
Jun Zhang 0058 — East China University of Technology, School of Software, Nanchang, China (and 1 more)
Jun Zhang 0059 — Southwest Jiaotong University, School of Transportation and Logistics, Chengdu, China
Jun Zhang 0060 — China University of Mining and Technology, School of Information and Control Engineering, Xuzhou, China
Jun Zhang 0061 — Tongji University, College of Transportation Engineering, Shanghai, China
Jun Zhang 0062 — Huazhong University of Science and Technology, School of Artificial Intelligence and Automation, Wuhan, China
Jun Zhang 0063 — Google Inc., China (and 1 more)
Jun Zhang 0064 — Old Dominion University, Department of Engineering Management and Systems Engineering, Norfolk, Virginia, USA
Jun Zhang 0065 — Yunnan Normal University, School of Physics and Electronic Information, Yunnan Key Laboratory of Opto-Electronic Information Technology, Kunming, China
Jun Zhang 0066 — AI Lab, ByteDance Inc., Speech & Audio Team, Beijing, China (and 1 more)
Jun Zhang 0067 — National University of Defense Technology, Laboratory for big data and decision, Department of Information System and Management, Changsha, China
Jun Zhang 0068 — University of Science and Technology of China, State Key Laboratory of Fire Science, Hefei, China (and 1 more)

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2020 – today

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2024
[j39]
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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: 108359 (2024)
[j38]
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Zenghui Wang, Jun Zhang:
Incremental PID Controller-Based Learning Rate Scheduler for Stochastic Gradient Descent. IEEE Trans. Neural Networks Learn. Syst. 35(5): 7060-7071 (2024)
[c47]
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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: 212-222
2023
[j37]
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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): 104150 (2023)
[j36]
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Yi Xia, Yangyang Xu, Peng Chen, Jun Zhang, Yongliang Zhang:
Generative adversarial network with transformer generator for boosting ECG classification. Biomed. Signal Process. Control. 80(Part): 104276 (2023)
[j35]
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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): 279:1-279:37 (2023)
[j34]
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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: 111074 (2023)
[j33]
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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: 1-12 (2023)
[c46]
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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: 277-287
[c45]
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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: 288-298
[c44]
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YaTe Liu, Chun-Hou Zheng, Jun Zhang, Bing Wang, Peng Chen:
Collaborative Encoder for Accurate Inversion of Real Face Image. ICIC (2) 2023: 498-505
[c43]
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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: 601-613
[c42]
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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: 614-625
[c41]
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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: 626-638
2022
[j32]
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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): 3646-3654 (2022)
[j31]
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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: 1-10 (2022)
[j30]
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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): 2559-2569 (2022)
[c40]
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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: 753-762
[c39]
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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: 772-786
[c38]
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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: 787-798
2021
[j29]
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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: 21-30 (2021)
[j28]
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Qianqian Wang, Jun Zhang, Peng Chen, Bing Wang:
Automatic estimation of road visibility in foggy weather based on image feature statistics. J. Electronic Imaging 30(5) (2021)
[j27]
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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): 1581-1597 (2021)
[j26]
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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): 985-994 (2021)
[c37]
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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: 4426-4433
[i1]
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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 abs/2106.03323 (2021)
2020
[j25]
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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: 105612 (2020)
[j24]
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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: 285-291 (2020)
[j23]
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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): 013004 (2020)
[j22]
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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): 3535 (2020)
[c36]
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Xiaofeng Cong, Jie Gui, Kai-Chao Miao, Jun Zhang, Bing Wang, Peng Chen:
Discrete Haze Level Dehazing Network. ACM Multimedia 2020: 1828-1836

2010 – 2019

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2019
[j21]
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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. 20-S(25): 688 (2019)
[j20]
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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. 20-S(25): 689 (2019)
[j19]
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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. 20-S(25): 699 (2019)
[j18]
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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)
[j17]
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Jie Hang, Dexiang Zhang, Peng Chen, Jun Zhang, Bing Wang:
Classification of Plant Leaf Diseases Based on Improved Convolutional Neural Network. Sensors 19(19): 4161 (2019)
[c35]
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Jie Hang, Dexiang Zhang, Peng Chen, Jun Zhang, Bing Wang:
Identification of Apple Tree Trunk Diseases Based on Improved Convolutional Neural Network with Fused Loss Functions. ICIC (1) 2019: 274-283
[c34]
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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: 443-454
[c33]
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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: 468-478
[c32]
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Xiao-Tao Xu, Jun Zhang, Peng Chen, Bing Wang, Yi Xia:
Urine Sediment Detection Based on Deep Learning. ICIC (1) 2019: 543-552
[c31]
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Tao Fang, Peng Chen, Jun Zhang, Bing Wang:
Identification of Apple Leaf Diseases Based on Convolutional Neural Network. ICIC (1) 2019: 553-564
[c30]
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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: 558-568
2018
[j16]
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Quanya Liu, Peng Chen, Bing Wang, Jun Zhang, Jinyan Li:
dbMPIKT: a database of kinetic and thermodynamic mutant protein interactions. BMC Bioinform. 19(1): 455:1-455:7 (2018)
[j15]
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Quanya Liu, Peng Chen, Bing Wang, Jun Zhang, Jinyan Li:
Hot spot prediction in protein-protein interactions by an ensemble system. BMC Syst. Biol. 12(9): 132 (2018)
[j14]
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Jun Zhang, Bineng Zhong, Pengfei Wang, Cheng Wang, Jixiang Du:
Robust feature learning for online discriminative tracking without large-scale pre-training. Frontiers Comput. Sci. 12(6): 1160-1172 (2018)
[j13]
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DeNan Xia, Peng Chen, Bing Wang, Jun Zhang, Chengjun Xie:
Insect Detection and Classification Based on an Improved Convolutional Neural Network. Sensors 18(12): 4169 (2018)
[c29]
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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: 1-10
[c28]
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Run-xu Tan, Jun Zhang, Peng Chen, Bing Wang, Yi Xia:
Cells Counting with Convolutional Neural Network. ICIC (3) 2018: 102-111
[c27]
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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: 143-148
[c26]
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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: 319-326
[c25]
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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: 460-469
[c24]
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Wei-wei Gao, Jun Zhang, Peng Chen, Bing Wang, Yi Xia:
Chinese Text Detection Using Deep Learning Model and Synthetic Data. ICIC (1) 2018: 503-512
[c23]
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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: 697-702
2017
[j12]
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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: 11-18 (2017)
[j11]
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Jun Zhang, Muchun Zhu, Peng Chen, Bing Wang:
DrugRPE: Random projection ensemble approach to drug-target interaction prediction. Neurocomputing 228: 256-262 (2017)
[j10]
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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: 183-190 (2017)
[c22]
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Feng-Lin Du, Jia-Xing Li, Zhi Yang, Peng Chen, Bing Wang, Jun Zhang:
CAPTCHA Recognition Based on Faster R-CNN. ICIC (2) 2017: 597-605
[c21]
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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: 600-611
2016
[j9]
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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): 84-100 (2016)
[j8]
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Chun-Hou Zheng, Yi-Fu Hou, Jun Zhang:
Improved sparse representation with low-rank representation for robust face recognition. Neurocomputing 198: 114-124 (2016)
[j7]
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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): 901-912 (2016)
[c20]
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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: 422-431
[c19]
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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: 742-749
[c18]
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Zhongwen Zhang, Peng Chen, Jun Zhang, Bing Wang:
Inferring Disease-Related Domain Using Network-Based Method. ICIC (1) 2016: 775-783
[c17]
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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: 71-81
2015
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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: 323-330
[c15]
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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: 379-389
[c14]
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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: 520-529
[c13]
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Li-Li Cao, Zhi-Shui Zhang, Peng Chen, Jun Zhang:
Compound Identification Using Random Projection for Gas Chromatography-Mass Spectrometry Data. ICIC (3) 2015: 686-692
[c12]
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Peng Chen, ShanShan Hu, Bing Wang, Jun Zhang:
A Random Projection Ensemble Approach to Drug-Target Interaction Prediction. ICIC (3) 2015: 693-699
[c11]
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Bing Wang, Liyan Du, Jun Zhang, Peng Chen:
A hierarchical model for identifying mild cognitive impairment. ICNC 2015: 599-604
2013
[j6]
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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): S9 (2013)
[c10]
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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: 193-196
[c9]
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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: 252-259
2012
[j5]
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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): 455-458 (2012)
[c8]
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Jun Zhang, Qingwei Gao, Chunhou Zheng:
Retention Index System Transformation Method Incorporated Optimal Molecular Descriptors through Particle Swarm Optimization. ICIC (2) 2012: 366-374
2011
[j4]
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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): 1041-1050 (2011)
[c7]
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Bing Wang, Peng Chen, Jun Zhang:
Protein Interface Residues Prediction Based on Amino Acid Properties Only. ICIC (3) 2011: 448-452
2010
[j3]
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Bing Wang, Fahim Mohammad, Jun Zhang, Xinmin Yin, Eric C. Rouchka, Xiang Zhang:
Statistical analysis of multiple significance test methods for differential proteomics. BMC Bioinform. 11(S-4): P30 (2010)
[c6]
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Jun Zhang, Bing Wang, Xiang Zhang:
Optimal Selection of Support Vector Regression Parameters and Molecular Descriptors for Retention Indices Prediction. ICIC (2) 2010: 83-90

2000 – 2009

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2009
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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): 953-960 (2009)
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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): 1274-1283 (2009)
[c5]
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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: 432-441
[c4]
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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: 983-992
2007
[c3]
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KunHong Liu, De-Shuang Huang, Jun Zhang:
Microarray data prediction by evolutionary classifier ensemble system. IEEE Congress on Evolutionary Computation 2007: 634-637
[c2]
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Jun Zhang, De-Shuang Huang, KunHong Liu:
Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization. IEEE Congress on Evolutionary Computation 2007: 3215-3220
2005
[c1]
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Ji-Xiang Du, De-Shuang Huang, Jun Zhang, Xiao-Feng Wang:
Shape matching using fuzzy discrete particle swarm optimization. SIS 2005: 405-408

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