Bing Wang

Orcid: 0000-0003-4945-7725

Affiliations:

Tongji University, Shanghai, China
Anhui University of Technology, School of Electrical and Information Engineering, China (former)
University of Science and Technology of China, Hefei, China (PhD 2006)

According to our database¹, Bing Wang authored at least 96 papers between 2006 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

IGDACA: Imaging Genomics of Deep Autoencoder Cascade Attention Fusion Networks for Cervical Cancer Prognosis Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

2023

AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2023

SGNet: Sequence-Based Convolution and Ligand Graph Network for Protein Binding Affinity Prediction.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Controllable face image editing in a disentanglement way.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2023

Corneal Ulcer Automatic Classification Network Based on Improved Mobile ViT.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Improved YOLOv5s Method for Nut Detection on Ultra High Voltage Power Towers.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Efficient and Precise Detection of Surface Defects on PCBs: A YOLO Based Approach.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Improved Deep Learning-Based Efficientpose Algorithm for Egocentric Marker-Less Tool and Hand Pose Estimation in Manual Assembly.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Multiple Classification Network of Concrete Defects Based on Improved EfficientNetV2.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Collaborative Encoder for Accurate Inversion of Real Face Image.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

Transformer Model for Functional Near-Infrared Spectroscopy Classification.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

A Real-Time Steel Surface Defect Detection Approach With High Accuracy.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

Protein-Protein Interaction Sites Prediction Based on an Under-Sampling Strategy and Random Forest Algorithm.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A multi-omics machine learning framework in predicting the survival of colorectal cancer patients.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2022

A Sub-network Aggregation Neural Network for Non-invasive Blood Pressure Prediction.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2022

2021

Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Imbalance Data Processing Strategy for Protein Interaction Sites Prediction.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A Convolutional Neural Network System to Discriminate Drug-Target Interactions.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Paper acceptance prediction at the institutional level based on the combination of individual and network features.

[BibT_eX]

[DOI]

Scientometrics, 2021

Automatic estimation of road visibility in foggy weather based on image feature statistics.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2021

Recognition and counting of wheat mites in wheat fields by a three-step deep learning method.

[BibT_eX]

[DOI]

Neurocomputing, 2021

2020

A Deep Learning-Based Chemical System for QSAR Prediction.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2020

Cross-Category Tea Polyphenols Evaluation Model Based on Feature Fusion of Electronic Nose and Hyperspectral Imagery.

[BibT_eX]

[DOI]

Sensors, 2020

Estimation Method of Soluble Solid Content in Peach Based on Deep Features of Hyperspectral Imagery.

[BibT_eX]

[DOI]

Sensors, 2020

Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network.

[BibT_eX]

[DOI]

Sensors, 2020

Crop leaf disease grade identification based on an improved convolutional neural network.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2020

Application of LSTM for short term fog forecasting based on meteorological elements.

[BibT_eX]

[DOI]

Neurocomputing, 2020

SRP-AKAZE: an improved accelerated KAZE algorithm based on sparse random projection.

[BibT_eX]

[DOI]

IET Comput. Vis., 2020

Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2020

Discrete Haze Level Dehazing Network.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles.

[BibT_eX]

[DOI]

Sensors, 2019

Classification of Plant Leaf Diseases Based on Improved Convolutional Neural Network.

[BibT_eX]

[DOI]

Sensors, 2019

Deep spatial attention hashing network for image retrieval.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2019

dbHDPLS: A database of human disease-related protein-ligand structures.

[BibT_eX]

[DOI]

Comput. Biol. Chem., 2019

Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Semi-supervised prediction of protein interaction sites from unlabeled sample information.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

A novel target convergence set based random walk with restart for prediction of potential LncRNA-disease associations.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Urine Sediment Detection Based on Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2019

Ranking Research Institutions Based on the Combination of Individual and Network Features.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

An Optimization Regression Model for Predicting Average Temperature of Core Dead Stock Column.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2019

Identification of Apple Tree Trunk Diseases Based on Improved Convolutional Neural Network with Fused Loss Functions.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2019

Identification of Apple Leaf Diseases Based on Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2019

2018

Insect Detection and Classification Based on an Improved Convolutional Neural Network.

[BibT_eX]

[DOI]

Sensors, 2018

A 3D neural network for moving microorganism extraction.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2018

Hot spot prediction in protein-protein interactions by an ensemble system.

[BibT_eX]

[DOI]

BMC Syst. Biol., 2018

dbMPIKT: a database of kinetic and thermodynamic mutant protein interactions.

[BibT_eX]

[DOI]

BMC Bioinform., 2018

Verifying TCM Syndrome Hypothesis Based on Improved Latent Tree Model.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2018

Deep Convolutional Neural Network for Fog Detection.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2018

Prediction of Crop Pests and Diseases in Cotton by Long Short Term Memory Network.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2018

Cells Counting with Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Prediction of Protein-Protein Interaction Sites Combing Sequence Profile and Hydrophobic Information.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2018

Using Novel Convolutional Neural Networks Architecture to Predict Drug-Target Interactions.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2018

Convolutional Neural Network for Short Term Fog Forecasting Based on Meteorological Elements.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Chinese Text Detection Using Deep Learning Model and Synthetic Data.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2018

2017

Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography.

[BibT_eX]

[DOI]

Neurocomputing, 2017

DrugRPE: Random projection ensemble approach to drug-target interaction prediction.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Utilization of rotation-invariant uniform LBP histogram distribution and statistics of connected regions in automatic image annotation based on multi-label learning.

[BibT_eX]

[DOI]

Neurocomputing, 2017

A linear programming computational framework integrates phosphor-proteomics and prior knowledge to predict drug efficacy.

[BibT_eX]

[DOI]

BMC Syst. Biol., 2017

A Machine Vision Method for Automatic Circular Parts Detection Based on Optimization Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2017

CAPTCHA Recognition Based on Faster R-CNN.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2017

2016

A Sequence-Based Dynamic Ensemble Learning System for Protein Ligand-Binding Site Prediction.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Combine multiple mass spectral similarity measures for compound identification.

[BibT_eX]

[DOI]

Int. J. Data Min. Bioinform., 2016

A Feature Selection Scheme for Accurate Identification of Alzheimer's Disease.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics and Biomedical Engineering, 2016

Inferring Disease-Related Domain Using Network-Based Method.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2016

Accurate Prediction of Protein Hot Spots Residues Based on Gentle AdaBoost Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2016

Prediction of Hot Spots Based on Physicochemical Features and Relative Accessible Surface Area of Amino Acid Sequence.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2016

An improved multilayer self-organizing background subtraction algorithm for microorganism detection in sewage.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Consumer Electronics-Taiwan, 2016

Classification of inertinite in coal macerical based on virtual sample.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Consumer Electronics-Taiwan, 2016

Identifying mild cognitive impairment conversion to Alzheimer's disease from medical image information.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Consumer Electronics-Taiwan, 2016

2015

NMFBFS: A NMF-Based Feature Selection Method in Identifying Pivotal Clinical Symptoms of Hepatocellular Carcinoma.

[BibT_eX]

[DOI]

Comput. Math. Methods Medicine, 2015

A hierarchical model for identifying mild cognitive impairment.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Natural Computation, 2015

Identification of Mild Cognitive Impairment Using Extreme Learning Machines Model.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

A Multi-feature Fusion Method for Automatic Multi-label Image Annotation with Weighted Histogram Integral and Closure Regions Counting.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

A Random Projection Ensemble Approach to Drug-Target Interaction Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

Sequence-Based Random Projection Ensemble Approach to Identify Hotspot Residues from Whole Protein Sequence.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

2014

Predicting dynamic deformation of retaining structure by LSSVR-based time series method.

[BibT_eX]

[DOI]

Neurocomputing, 2014

2013

The nearest-farthest subspace classification for face recognition.

[BibT_eX]

[DOI]

Neurocomputing, 2013

Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis.

[BibT_eX]

[DOI]

BMC Bioinform., 2013

Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features.

[BibT_eX]

[DOI]

BMC Bioinform., 2013

Disease-Related Gene Expression Analysis Using an Ensemble Statistical Test Method.

[BibT_eX]

[DOI]

Bing Wang

Zhiwei Ji

Proceedings of the Intelligent Computing Theories and Technology, 2013

Dataset reconstruction for protein interface identification using manifold learning method.

[BibT_eX]

[DOI]

Bing Wang

De-Shuang Huang

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2011

An optimal peak alignment for comprehensive two-dimensional gas chromatography mass spectrometry using mixture similarity measure.

[BibT_eX]

[DOI]

Bioinform., 2011

DISCO2: A Comprehensive Peak Alignment Algorithm for Two-Dimensional Gas Chromatography Time-of-Flight Mass Spectrometry.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Computing and Applications, 2011

Protein Interface Residues Prediction Based on Amino Acid Properties Only.

[BibT_eX]

[DOI]

Bing Wang

Peng Chen

Jun Zhang

Proceedings of the Bio-Inspired Computing and Applications, 2011

2010

Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry.

[BibT_eX]

[DOI]

BMC Bioinform., 2010

Statistical analysis of multiple significance test methods for differential proteomics.

[BibT_eX]

[DOI]

BMC Bioinform., 2010

Optimal Selection of Support Vector Regression Parameters and Molecular Descriptors for Retention Indices Prediction.

[BibT_eX]

[DOI]

Jun Zhang

Bing Wang

Xiang Zhang

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010

2009

Prediction of peptide drift time in ion mobility-mass spectrometry.

[BibT_eX]

[DOI]

BMC Bioinform., 2009

IRCDB: A Database of Inter-residues Contacts in Protein Chains.

[BibT_eX]

[DOI]

William M. Southerland

Clay S. Gloster Jr.

Bing Wang

Proceedings of the First International Conference on Advances in Databases, 2009

2007

Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network.

[BibT_eX]

[DOI]

Junfeng Xia

Bing Wang

De-Shuang Huang

Proceedings of the International Joint Conference on Neural Networks, 2007

Prediction of Long-range Contacts from Sequence Profile.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2007

Prediction of Protein-Protein Interacting Sites by Combining SVM Algorithm with Bayesian Method.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on Natural Computation, 2007

2006

Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

Long-Range Interaction Analysis using Principal Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2006

Bing Wang

Timeline

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