Jun Zhang - RankMe

97 papers A* 2B 2Misc 2Journal 49Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Shape-aware and feature fused power line detection network. Eng. Appl. Artif. Intell. Shengdong Zhang, Xiaoqin Zhang, Wenqi Ren, Linlin Shen, Jun Zhang
2025	J	`jnl`	Bringing RGB and IR Together: Hierarchical Multi-Modal Enhancement for Robust Transmission Line Detection. CoRR Shengdong Zhang, Xiaoqin Zhang, Wenqi Ren, Linlin Shen, Shaohua Wan, Jun Zhang, Yujing M. Jiang
2025	Misc	`conf`	ECSNN: Spiking Neural Networks for Efficient Exposure Correction in Endoscopy Imaging. ICASSP Jun Zhang, Zhuoran Zheng, Jingang Zhang, Wenqi Ren
2025	J	`jnl`	Level-Navi Agent: A Framework and benchmark for Chinese Web Search Agents. CoRR Chuanrui Hu, Shichong Xie, Baoxin Wang, Bin Chen, Xiaofeng Cong, Jun Zhang
2025	J	`jnl`	Local global information aggregation graph convolution for skeleton-based action recognition. Neurocomputing Shichong Xie, Shengze Li, Peng Chen, Bing Wang, Jun Zhang
2025	J	`jnl`	Residual Movement Metrology Network and Transformer-Based Framework for Evaluating Movement Quality. Cogn. Comput. WeiQing Meng, Peng Chen, Jun Zhang, Yi Xia, Bing Wang
2025	J	`jnl`	Small object detection in UAV imagery based on channel-spatial fusion cross attention. Signal Image Video Process. Jianlong Li, Chunhou Zheng, Peng Chen, Jun Zhang, Bing Wang
2024	J	`jnl`	FD-Vision Mamba for Endoscopic Exposure Correction. CoRR Zhuoran Zheng, Jun Zhang
2024	—	`conf`	IGDACA: Imaging Genomics of Deep Autoencoder Cascade Attention Fusion Networks for Cervical Cancer Prognosis Prediction. ICIC (LNBI 2) Tianjin Dai, Peng Chen, Jun Zhang, Bing Wang
2024	J	`jnl`	Incremental PID Controller-Based Learning Rate Scheduler for Stochastic Gradient Descent. IEEE Trans. Neural Networks Learn. Syst. Zenghui Wang, Jun Zhang
2024	J	`jnl`	Medical Tumor Image Classification Based on Few-Shot Learning. IEEE Trans. Comput. Biol. Bioinform. Wenyan Wang, Yongtao Li, Kun Lu, Jun Zhang, Peng Chen, Ke Yan, Bing Wang
2024	J	`jnl`	Photo realistic synthetic dataset and multi-scale attention dehazing network. Eng. Appl. Artif. Intell. Shengdong Zhang, Xiaoqin Zhang, Wenqi Ren, Linlin Shen, Li Zhao, Jun Zhang
2023	J	`jnl`	A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning. ACM Comput. Surv. Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Jiuxin Cao, Dacheng Tao
2023	J	`jnl`	A dual-stream deep neural network integrated with adaptive boosting for sleep staging. Biomed. Signal Process. Control. Yongkangjian Fang, Yi Xia, Peng Chen, Jun Zhang, Yongliang Zhang
2023	J	`jnl`	AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection. IEEE Trans. Instrum. Meas. Xin Xiang, Zenghui Wang, Jun Zhang, Yi Xia, Peng Chen, Bing Wang
2023	—	`conf`	Collaborative Encoder for Accurate Inversion of Real Face Image. ICIC (2) YaTe Liu, Chun-Hou Zheng, Jun Zhang, Bing Wang, Peng Chen
2023	J	`jnl`	Controllable face image editing in a disentanglement way. J. Electronic Imaging Shiyan Zhou, Ke Wang, Jun Zhang, Yi Xia, Peng Chen, Bing Wang
2023	—	`conf`	Corneal Ulcer Automatic Classification Network Based on Improved Mobile ViT. ICIC (2) Chenlin Zhu, Wenyan Wang, Kun Lu, Jun Zhang, Peng Chen, Lejun Pan, Jiawei Ni, Bing Wang
2023	—	`conf`	Efficient and Precise Detection of Surface Defects on PCBs: A YOLO Based Approach. ICIC (2) Lejun Pan, Wenyan Wang, Kun Lu, Jun Zhang, Peng Chen, Jiawei Ni, Chenlin Zhu, Bing Wang
2023	J	`jnl`	Exploring incomplete decoupling modeling with window and cross-window mechanism for skeleton-based action recognition. Knowl. Based Syst. Shengze Li, Xin Xiang, Jihong Fang, Jun Zhang, Songsong Cheng, Ke Wang
2023	J	`jnl`	Generative adversarial network with transformer generator for boosting ECG classification. Biomed. Signal Process. Control. Yi Xia, Yangyang Xu, Peng Chen, Jun Zhang, Yongliang Zhang
2023	—	`conf`	Improved Deep Learning-Based Efficientpose Algorithm for Egocentric Marker-Less Tool and Hand Pose Estimation in Manual Assembly. ICIC (5) Zihan Niu, Yi Xia, Jun Zhang, Bing Wang, Peng Chen
2023	—	`conf`	Improved YOLOv5s Method for Nut Detection on Ultra High Voltage Power Towers. ICIC (5) Lang Xu, Yi Xia, Jun Zhang, Bing Wang, Peng Chen
2023	—	`conf`	Multiple Classification Network of Concrete Defects Based on Improved EfficientNetV2. ICIC (2) Jiawei Ni, Kun Lu, Jun Zhang, Peng Chen, Lejun Pan, Chenlin Zhu, Bing Wang, Wenyan Wang
2022	—	`conf`	A 3D Medical Image Segmentation Framework Fusing Convolution and Transformer Features. ICIC (1) Fazhan Zhu, Jiaxing Lv, Kun Lu, Wenyan Wang, Hongshou Cong, Jun Zhang, Peng Chen, Yuan Zhao, Ziheng Wu
2022	J	`jnl`	A Real-Time Steel Surface Defect Detection Approach With High Accuracy. IEEE Trans. Instrum. Meas. Wenyan Wang, Chunfeng Mi, Ziheng Wu, Kun Lu, Hongming Long, Baigen Pan, Dan Li, Jun Zhang, Peng Chen, Bing Wang
2022	—	`conf`	A Sub-network Aggregation Neural Network for Non-invasive Blood Pressure Prediction. ICIC (1) Xinghui Zhang, Chunhou Zheng, Peng Chen, Jun Zhang, Bing Wang
2022	—	`conf`	COVID-19 Classification from Chest X-rays Based on Attention and Knowledge Distillation. ICIC (1) Jiaxing Lv, Fazhan Zhu, Kun Lu, Wenyan Wang, Jun Zhang, Peng Chen, Yuan Zhao, Ziheng Wu
2022	J	`jnl`	Protein-Protein Interaction Sites Prediction Based on an Under-Sampling Strategy and Random Forest Algorithm. IEEE ACM Trans. Comput. Biol. Bioinform. Minjie Li, Ziheng Wu, Wenyan Wang, Kun Lu, Jun Zhang, Yuming Zhou, Zhaoquan Chen, Dan Li, Shicheng Zheng, Peng Chen, Bing Wang
2022	J	`jnl`	Transformer Model for Functional Near-Infrared Spectroscopy Classification. IEEE J. Biomed. Health Informatics Zenghui Wang, Jun Zhang, Xiaochu Zhang, Peng Chen, Bing Wang
2021	A*	`conf`	A Comprehensive Survey on Image Dehazing Based on Deep Learning. IJCAI Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao
2021	J	`jnl`	A Comprehensive Survey on Image Dehazing Based on Deep Learning. CoRR Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Dacheng Tao
2021	J	`jnl`	Automatic estimation of road visibility in foggy weather based on image feature statistics. J. Electronic Imaging Qianqian Wang, Jun Zhang, Peng Chen, Bing Wang
2021	J	`jnl`	Imbalance Data Processing Strategy for Protein Interaction Sites Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Bing Wang, Changqing Mei, Yuanyuan Wang, Yuming Zhou, Mu-Tian Cheng, Chunhou Zheng, Lei Wang, Jun Zhang, Peng Chen, Yan Xiong
2021	J	`jnl`	Paper acceptance prediction at the institutional level based on the combination of individual and network features. Scientometrics Wenyan Wang, Jun Zhang, Fang Zhou, Peng Chen, Bing Wang
2021	J	`jnl`	Recognition and counting of wheat mites in wheat fields by a three-step deep learning method. Neurocomputing Peng Chen, Weilu Li, Sijie Yao, Chun Ma, Jun Zhang, Bing Wang, Chunhou Zheng, Chengjun Xie, Dong Liang
2020	J	`jnl`	Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network. Sensors Qian Yan, Baohua Yang, Wenyan Wang, Bing Wang, Peng Chen, Jun Zhang
2020	J	`jnl`	Application of LSTM for short term fog forecasting based on meteorological elements. Neurocomputing Kai-Chao Miao, Ting-Ting Han, Ye-Qing Yao, Hui Lu, Peng Chen, Bing Wang, Jun Zhang
2020	J	`jnl`	Crop leaf disease grade identification based on an improved convolutional neural network. J. Electronic Imaging Tao Fang, Peng Chen, Jun Zhang, Bing Wang
2020	A*	`conf`	Discrete Haze Level Dehazing Network. ACM Multimedia Xiaofeng Cong, Jie Gui, Kai-Chao Miao, Jun Zhang, Bing Wang, Peng Chen
2020	J	`jnl`	Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation. Comput. Electron. Agric. Peng Chen, Qingxin Xiao, Jun Zhang, Chengjun Xie, Bing Wang
2019	—	`conf`	An Optimization Regression Model for Predicting Average Temperature of Core Dead Stock Column. ICIC (3) Guangyu Wang, Bing Dai, Wenyan Wang, Hongming Long, Jun Zhang, Peng Chen, Bing Wang
2019	J	`jnl`	Classification of Plant Leaf Diseases Based on Improved Convolutional Neural Network. Sensors Jie Hang, Dexiang Zhang, Peng Chen, Jun Zhang, Bing Wang
2019	J	`jnl`	Deep spatial attention hashing network for image retrieval. J. Vis. Commun. Image Represent. Lin-Wei Ge, Jun Zhang, Yi Xia, Peng Chen, Bing Wang, Chun-Hou Zheng
2019	—	`conf`	Identification of Apple Leaf Diseases Based on Convolutional Neural Network. ICIC (1) Tao Fang, Peng Chen, Jun Zhang, Bing Wang
2019	—	`conf`	Identification of Apple Tree Trunk Diseases Based on Improved Convolutional Neural Network with Fused Loss Functions. ICIC (1) Jie Hang, Dexiang Zhang, Peng Chen, Jun Zhang, Bing Wang
2019	J	`jnl`	Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network. BMC Bioinform. Qingxin Xiao, Weilu Li, Yuanzhong Kai, Peng Chen, Jun Zhang, Bing Wang
2019	J	`jnl`	Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks. BMC Bioinform. Shanshan Hu, Chenglin Zhang, Peng Chen, Pengying Gu, Jun Zhang, Bing Wang
2019	—	`conf`	Ranking Research Institutions Based on the Combination of Individual and Network Features. ICIC (3) Wenyan Wang, Guangyu Wang, Jun Zhang, Peng Chen, Bing Wang
2019	—	`conf`	Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model. ICIC (2) Panpan Lu, Kun Lu, Wenyan Wang, Jun Zhang, Peng Chen, Bing Wang
2019	J	`jnl`	Semi-supervised prediction of protein interaction sites from unlabeled sample information. BMC Bioinform. Ye Wang, Changqing Mei, Yuming Zhou, Yan Wang, Chunhou Zheng, Xiao Zhen, Yan Xiong, Peng Chen, Jun Zhang, Bing Wang
2019	—	`conf`	Urine Sediment Detection Based on Deep Learning. ICIC (1) Xiao-Tao Xu, Jun Zhang, Peng Chen, Bing Wang, Yi Xia
2018	—	`conf`	Automatic License Plate Recognition Based on Faster R-CNN Algorithm. ICIC (3) Zhi Yang, Feng-Lin Du, Yi Xia, Chun-Hou Zheng, Jun Zhang
2018	—	`conf`	Cells Counting with Convolutional Neural Network. ICIC (3) Run-xu Tan, Jun Zhang, Peng Chen, Bing Wang, Yi Xia
2018	—	`conf`	Chinese Text Detection Using Deep Learning Model and Synthetic Data. ICIC (1) Wei-wei Gao, Jun Zhang, Peng Chen, Bing Wang, Yi Xia
2018	—	`conf`	Convolutional Neural Network for Short Term Fog Forecasting Based on Meteorological Elements. ICIC (3) 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
2018	—	`conf`	Deep Convolutional Neural Network for Fog Detection. ICIC (2) 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
2018	J	`jnl`	Hot spot prediction in protein-protein interactions by an ensemble system. BMC Syst. Biol. Quanya Liu, Peng Chen, Bing Wang, Jun Zhang, Jinyan Li
2018	J	`jnl`	Insect Detection and Classification Based on an Improved Convolutional Neural Network. Sensors DeNan Xia, Peng Chen, Bing Wang, Jun Zhang, Chengjun Xie
2018	—	`conf`	Prediction of Protein-Protein Interaction Sites Combing Sequence Profile and Hydrophobic Information. ICIC (1) Lili Peng, Fang Chen, Nian Zhou, Peng Chen, Jun Zhang, Bing Wang
2018	J	`jnl`	Robust feature learning for online discriminative tracking without large-scale pre-training. Frontiers Comput. Sci. Jun Zhang, Bineng Zhong, Pengfei Wang, Cheng Wang, Jixiang Du
2018	—	`conf`	Verifying TCM Syndrome Hypothesis Based on Improved Latent Tree Model. ICIC (2) Nian Zhou, Lingshan Zhou, Lili Peng, Bing Wang, Peng Chen, Jun Zhang
2018	J	`jnl`	dbMPIKT: a database of kinetic and thermodynamic mutant protein interactions. BMC Bioinform. Quanya Liu, Peng Chen, Bing Wang, Jun Zhang, Jinyan Li
2017	—	`conf`	A Machine Vision Method for Automatic Circular Parts Detection Based on Optimization Algorithm. ICIC (1) Wenyan Wang, Kun Lu, Rui Hong, Peng Chen, Jun Zhang, Bing Wang
2017	—	`conf`	CAPTCHA Recognition Based on Faster R-CNN. ICIC (2) Feng-Lin Du, Jiaxing Li, Zhi Yang, Peng Chen, Bing Wang, Jun Zhang
2017	J	`jnl`	DrugRPE: Random projection ensemble approach to drug-target interaction prediction. Neurocomputing Jun Zhang, Muchun Zhu, Peng Chen, Bing Wang
2017	J	`jnl`	Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography. Neurocomputing Jun Zhang, Chun-Hou Zheng, Yi Xia, Bing Wang, Peng Chen
2017	J	`jnl`	Utilization of rotation-invariant uniform LBP histogram distribution and statistics of connected regions in automatic image annotation based on multi-label learning. Neurocomputing Sen Xia, Peng Chen, Jun Zhang, Xiaoping Li, Bing Wang
2016	—	`conf`	A Feature Selection Scheme for Accurate Identification of Alzheimer's Disease. IWBBIO Hao Shen, Wen Zhang, Peng Chen, Jun Zhang, Aiqin Fang, Bing Wang
2016	J	`jnl`	A Sequence-Based Dynamic Ensemble Learning System for Protein Ligand-Binding Site Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Peng Chen, Shanshan Hu, Jun Zhang, Xin Gao, Jinyan Li, Junfeng Xia, Bing Wang
2016	—	`conf`	Accurate Prediction of Protein Hot Spots Residues Based on Gentle AdaBoost Algorithm. ICIC (1) Zhen Sun, Jun Zhang, Chun-Hou Zheng, Bing Wang, Peng Chen
2016	J	`jnl`	Combine multiple mass spectral similarity measures for compound identification. Int. J. Data Min. Bioinform. Jun Zhang, Yi Xia, Chun-Hou Zheng, Bing Wang, Xiang Zhang, Peng Chen
2016	J	`jnl`	Improved sparse representation with low-rank representation for robust face recognition. Neurocomputing Chun-Hou Zheng, Yi-Fu Hou, Jun Zhang
2016	—	`conf`	Inferring Disease-Related Domain Using Network-Based Method. ICIC (1) Zhongwen Zhang, Peng Chen, Jun Zhang, Bing Wang
2016	—	`conf`	Prediction of Hot Spots Based on Physicochemical Features and Relative Accessible Surface Area of Amino Acid Sequence. ICIC (1) Shanshan Hu, Peng Chen, Jun Zhang, Bing Wang
2015	—	`conf`	A Multi-feature Fusion Method for Automatic Multi-label Image Annotation with Weighted Histogram Integral and Closure Regions Counting. ICIC (3) Sen Xia, Peng Chen, Jun Zhang, Xiaoping Li, Bing Wang
2015	—	`conf`	A Random Projection Ensemble Approach to Drug-Target Interaction Prediction. ICIC (3) Peng Chen, Shanshan Hu, Bing Wang, Jun Zhang
2015	Misc	`conf`	A hierarchical model for identifying mild cognitive impairment. ICNC Bing Wang, Liyan Du, Jun Zhang, Peng Chen
2015	—	`conf`	Compound Identification Using Random Projection for Gas Chromatography-Mass Spectrometry Data. ICIC (3) Li-Li Cao, Zhi-Shui Zhang, Peng Chen, Jun Zhang
2015	—	`conf`	Prediction of Molecular Substructure Using Mass Spectral Data Based on Deep Learning. ICIC (2) Zhi-Shui Zhang, Li-Li Cao, Jun Zhang, Peng Chen, Chun-Hou Zheng
2015	—	`conf`	Sequence-Based Random Projection Ensemble Approach to Identify Hotspot Residues from Whole Protein Sequence. ICIC (2) Peng Chen, Shanshan Hu, Bing Wang, Jun Zhang
2013	—	`conf`	Differential coexpression analysis in gene modules level and its application to type 2 diabetes. BIBM Lin Yuan, Wen Sha, Jun Zhang, Chun-Hou Zheng, Junfeng Xia
2013	—	`conf`	Inferring Transcriptional Modules from Microarray and ChIP-Chip Data Using Penalized Matrix Decomposition. ICIC (2) Chun-Hou Zheng, Wen Sha, Zhan-Li Sun, Jun Zhang
2013	J	`jnl`	Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features. BMC Bioinform. Bing Wang, Jun Zhang, Peng Chen, Zhiwei Ji, Shuping Deng, Chi Li
2012	—	`conf`	Retention Index System Transformation Method Incorporated Optimal Molecular Descriptors through Particle Swarm Optimization. ICIC (2) Jun Zhang, Qingwei Gao, Chunhou Zheng
2012	J	`jnl`	Tumor Classification Using Eigengene-Based Classifier Committee Learning Algorithm. IEEE Signal Process. Lett. Zhan-Li Sun, Chun-Hou Zheng, Qingwei Gao, Jun Zhang, Dexiang Zhang
2011	J	`jnl`	Discovering the transcriptional modules using microarray data by penalized matrix decomposition. Comput. Biol. Medicine Jun Zhang, Chun-Hou Zheng, Jin-Xing Liu, Hong-Qiang Wang
2011	—	`conf`	Protein Interface Residues Prediction Based on Amino Acid Properties Only. ICIC (3) Bing Wang, Peng Chen, Jun Zhang
2010	—	`conf`	Optimal Selection of Support Vector Regression Parameters and Molecular Descriptors for Retention Indices Prediction. ICIC (2) Jun Zhang, Bing Wang, Xiang Zhang
2010	J	`jnl`	Statistical analysis of multiple significance test methods for differential proteomics. BMC Bioinform. Bing Wang, Fahim Mohammad, Jun Zhang, Xinmin Yin, Eric C. Rouchka, Xiang Zhang
2009	—	`conf`	A GA-Based Approach to ICA Feature Selection: An Efficient Method to Classify Microarray Datasets. ISNN (2) Kun-Hong Liu, Jun Zhang, Bo Li, Ji-Xiang Du
2009	—	`conf`	A New Approach to Improving ICA-Based Models for the Classification of Microarray Data. ISNN (3) Kun-Hong Liu, Bo Li, Jun Zhang, Ji-Xiang Du
2009	J	`jnl`	Ensemble component selection for improving ICA based microarray data prediction models. Pattern Recognit. Kun-Hong Liu, Bo Li, Jun Zhang, Ji-Xiang Du
2009	J	`jnl`	Microarray data classification based on ensemble independent component selection. Comput. Biol. Medicine Kun-Hong Liu, Bo Li, Qingqiang Wu, Jun Zhang, Ji-Xiang Du, Guo-Yan Liu
2007	B	`conf`	Microarray data prediction by evolutionary classifier ensemble system. IEEE Congress on Evolutionary Computation Kunhong Liu, De-Shuang Huang, Jun Zhang
2007	B	`conf`	Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization. IEEE Congress on Evolutionary Computation Jun Zhang, De-Shuang Huang, Kunhong Liu
2005	—	`conf`	Shape matching using fuzzy discrete particle swarm optimization. SIS Ji-Xiang Du, De-Shuang Huang, Jun Zhang, Xiao-Feng Wang