Bing Wang

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 74

Top Topics

Digital Imagery

Convolutional Neural Network

Top Venues

Publications

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)
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)
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)
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)
Peng Chen, Huimin Shen, Youzhi Zhang, Bing Wang, Pengying Gu
SGNet: Sequence-Based Convolution and Ligand Graph Network for Protein Binding Affinity Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20 (5) (2023)
Min Yang, Huandong Yang, Lei Ji, Xuan Hu, Geng Tian, Bing Wang, Jialiang Yang
A multi-omics machine learning framework in predicting the survival of colorectal cancer patients. Comput. Biol. Medicine 146 (2022)
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)
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)
Wenyan Wang, Yuming Zhou, Mu-Tian Cheng, Yan Wang, Chun-Hou Zheng, Yan Xiong, Peng Chen, Zhiwei Ji, Bing Wang
Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (3) (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)
ShanShan Hu, DeNan Xia, Benyue Su, Peng Chen, Bing Wang, Jin-Yan Li
A Convolutional Neural Network System to Discriminate Drug-Target Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (4) (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)
Baohua Yang, Yuan Gao, Qian Yan, Lin Qi, Yue Zhu, Bing Wang
Estimation Method of Soluble Solid Content in Peach Based on Deep Features of Hyperspectral Imagery. Sensors 20 (18) (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)
Baohua Yang, Lin Qi, Mengxuan Wang, Saddam Hussain, Huabin Wang, Bing Wang, Jingming Ning
Cross-Category Tea Polyphenols Evaluation Model Based on Feature Fusion of Electronic Nose and Hyperspectral Imagery. Sensors 20 (1) (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)
Dan Li, Qiannan Xu, Wennian Yu, Bing Wang
SRP-AKAZE: an improved accelerated KAZE algorithm based on sparse random projection. IET Comput. Vis. 14 (4) (2020)
ShanShan Hu, Peng Chen, Pengying Gu, Bing Wang
A Deep Learning-Based Chemical System for QSAR Prediction. IEEE J. Biomed. Health Informatics 24 (10) (2020)
Tao Fang, Peng Chen, Jun Zhang, Bing Wang
Identification of Apple Leaf Diseases Based on Convolutional Neural Network. ICIC (1) (2019)
Jiechen Li, Xueyong Li, Xiang Feng, Bing Wang, Bihai Zhao, Lei Wang
A novel target convergence set based random walk with restart for prediction of potential LncRNA-disease associations. BMC Bioinform. 20 (1) (2019)
Baohua Yang, Mengxuan Wang, Zhengxia Sha, Bing Wang, Jianlin Chen, Xia Yao, Tao Cheng, Weixing Cao, Yan Zhu
Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles. Sensors 19 (20) (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)
Muchun Zhu, Xiaoping Song, Peng Chen, Wenyan Wang, Bing Wang
dbHDPLS: A database of human disease-related protein-ligand structures. Comput. Biol. Chem. 78 (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)
Xiao-Tao Xu, Jun Zhang, Peng Chen, Bing Wang, Yi Xia
Urine Sediment Detection Based on Deep Learning. ICIC (1) (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)
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)
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)
Run-xu Tan, Jun Zhang, Peng Chen, Bing Wang, Yi Xia
Cells Counting with Convolutional Neural Network. ICIC (3) (2018)
Fang Zhou, Tin-Yu Wu, Jun Liu, Bing Wang, Mohammad S. Obaidat
A 3D neural network for moving microorganism extraction. Neural Comput. Appl. 30 (1) (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)
Qingxin Xiao, Weilu Li, Peng Chen, Bing Wang
Prediction of Crop Pests and Diseases in Cotton by Long Short Term Memory Network. ICIC (2) (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)
ShanShan Hu, DeNan Xia, Peng Chen, Bing Wang
Using Novel Convolutional Neural Networks Architecture to Predict Drug-Target Interactions. 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
Hot spot prediction in protein-protein interactions by an ensemble system. BMC Syst. Biol. 12 (9) (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)
Zhiwei Ji, Bing Wang, Ke Yan, Ligang Dong, Guanmin Meng, Lei Shi
A linear programming computational framework integrates phosphor-proteomics and prior knowledge to predict drug efficacy. BMC Syst. Biol. 11 (S-7) (2017)
Peizhen Wang, Rui Sun, Dailin Zhang, Fang Zhou, Bing Wang
Classification of inertinite in coal macerical based on virtual sample. ICCE-TW (2016)
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)
Bing Wang, Rui Hong, Yanhui Xu, Fang Zhou, Peizhen Wang
Identifying mild cognitive impairment conversion to Alzheimer's disease from medical image information. ICCE-TW (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)
Fang Zhou, Jun Liu, Bing Wang, Peizhen Wang
An improved multilayer self-organizing background subtraction algorithm for microorganism detection in sewage. ICCE-TW (2016)
Zhongwen Zhang, Peng Chen, Jun Zhang, Bing Wang
Inferring Disease-Related Domain Using Network-Based Method. ICIC (1) (2016)
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)
Zhiwei Ji, Guanmin Meng, Deshuang Huang, Xiao-Qiang Yue, Bing Wang
NMFBFS: A NMF-Based Feature Selection Method in Identifying Pivotal Clinical Symptoms of Hepatocellular Carcinoma. Comput. Math. Methods Medicine 2015 (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)
Peng Chen, ShanShan Hu, Bing Wang, Jun Zhang
A Random Projection Ensemble Approach to Drug-Target Interaction Prediction. ICIC (3) (2015)
Wen Zhang, Hao Shen, Zhiwei Ji, Guanmin Meng, Bing Wang
Identification of Mild Cognitive Impairment Using Extreme Learning Machines Model. ICIC (2) (2015)
Zhiwei Ji, Bing Wang, Suping Deng, Zhuhong You
Predicting dynamic deformation of retaining structure by LSSVR-based time series method. Neurocomputing 137 (2014)
Bing Wang, Zhiwei Ji
Disease-Related Gene Expression Analysis Using an Ensemble Statistical Test Method. ICIC (2) (2013)
Bing Wang, De-Shuang Huang
Dataset reconstruction for protein interface identification using manifold learning method. BIBM (2013)
Jian-Xun Mi, De-Shuang Huang, Bing Wang, Xingjie Zhu
The nearest-farthest subspace classification for face recognition. Neurocomputing 113 (2013)
Zhu-Hong You, Ying-Ke Lei, Lin Zhu, Junfeng Xia, Bing Wang
Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis. BMC Bioinform. 14 (S-8) (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)
Bing Wang, Peng Chen, Jun Zhang
Protein Interface Residues Prediction Based on Amino Acid Properties Only. ICIC (3) (2011)
Seongho Kim, Aiqin Fang, Bing Wang, Jaesik Jeong, Xiang Zhang
An optimal peak alignment for comprehensive two-dimensional gas chromatography mass spectrometry using mixture similarity measure. Bioinform. 27 (12) (2011)
Bing Wang, Steve Valentine, Manolo Plasencia, Sriram Raghuraman, Xiang Zhang
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry. BMC Bioinform. 11 (2010)
Peng Chen, Chunmei Liu, Legand L. Burge III, Mahmood Mohammad, William M. Southerland, Clay S. Gloster Jr., Bing Wang
IRCDB: A Database of Inter-residues Contacts in Protein Chains. DBKDA (2009)
Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang
Prediction of Long-range Contacts from Sequence Profile. IJCNN (2007)
Peng Chen, Bing Wang, Hau-San Wong, De-Shuang Huang
Long-Range Interaction Analysis using Principal Component Analysis. IJCNN (2006)
Bing Wang, Hau-San Wong, Peng Chen, Hong-Qiang Wang, De-Shuang Huang
Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. IJCNN (2006)