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Bing Wang 0004
Person information
- affiliation: Tongji University, Shanghai, China
- affiliation (former): Anhui University of Technology, School of Electrical and Information Engineering, China
- affiliation (PhD 2006): University of Science and Technology of China, Hefei, China
Other persons with the same name
- Bing Wang — disambiguation page
- Bing Wang 0001
— University of Connecticut, Computer Science and Engineering Department, Storrs, CT, USA (and 1 more)
- Bing Wang 0002
- Bing Wang 0003
- Bing Wang 0005
- Bing Wang 0006 — Shanghai Jiao Tong University, Department of Automation, Key Laboratory of System Control and Information Processing, China
- Bing Wang 0007
- Bing Wang 0008
- Bing Wang 0009
- Bing Wang 0010
- Bing Wang 0011 — University of New South Wales, Canberra, Australia
- Bing Wang 0012 — University of York, UK
- Bing Wang 0013
- Bing Wang 0014 — Nanjing Normal University of Special Education, Nanjing, China
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2020 – today
- 2024
- [c48]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
- [j48]Shiyan Zhou, Ke Wang, Jun Zhang, Yi Xia, Peng Chen, Bing Wang:
Controllable face image editing in a disentanglement way. J. Electronic Imaging 32(4) (2023) - [j47]Peng Chen
SGNet: Sequence-Based Convolution and Ligand Graph Network for Protein Binding Affinity Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 20(5): 3257-3266 (2023) - [j46]Xin Xiang
AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [c47]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 - [c46]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 - [c45]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 - [c44]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 - [c43]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 - [c42]Jiawei Ni, 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
- [j45]Min Yang, Huandong Yang, Lei Ji, Xuan Hu, Geng Tian, Bing Wang
A multi-omics machine learning framework in predicting the survival of colorectal cancer patients. Comput. Biol. Medicine 146: 105516 (2022) - [j44]Minjie Li
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) - [j43]Wenyan Wang
A Real-Time Steel Surface Defect Detection Approach With High Accuracy. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j42]Zenghui Wang
Transformer Model for Functional Near-Infrared Spectroscopy Classification. IEEE J. Biomed. Health Informatics 26(6): 2559-2569 (2022) - [c41]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 - 2021
- [j41]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) - [j40]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) - [j39]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) - [j38]Bing Wang
Imbalance Data Processing Strategy for Protein Interaction Sites Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 985-994 (2021) - [j37]Wenyan Wang, Yuming Zhou, Mu-Tian Cheng, Yan Wang, Chun-Hou Zheng
Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1026-1034 (2021) - [j36]ShanShan Hu
A Convolutional Neural Network System to Discriminate Drug-Target Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1315-1324 (2021) - 2020
- [j35]Peng Chen
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) - [j34]Dan Li, Qiannan Xu, Wennian Yu
SRP-AKAZE: an improved accelerated KAZE algorithm based on sparse random projection. IET Comput. Vis. 14(4): 131-137 (2020) - [j33]Kai-Chao Miao, Ting-Ting Han, Ye-Qing Yao, Hui Lu, Peng Chen
Application of LSTM for short term fog forecasting based on meteorological elements. Neurocomputing 408: 285-291 (2020) - [j32]Tao Fang, Peng Chen
Crop leaf disease grade identification based on an improved convolutional neural network. J. Electronic Imaging 29(1): 013004 (2020) - [j31]Baohua Yang
Cross-Category Tea Polyphenols Evaluation Model Based on Feature Fusion of Electronic Nose and Hyperspectral Imagery. Sensors 20(1): 50 (2020) - [j30]Qian Yan, Baohua Yang
Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network. Sensors 20(12): 3535 (2020) - [j29]Baohua Yang
Estimation Method of Soluble Solid Content in Peach Based on Deep Features of Hyperspectral Imagery. Sensors 20(18): 5021 (2020) - [j28]ShanShan Hu
A Deep Learning-Based Chemical System for QSAR Prediction. IEEE J. Biomed. Health Informatics 24(10): 3020-3028 (2020) - [c40]Xiaofeng Cong
Discrete Haze Level Dehazing Network. ACM Multimedia 2020: 1828-1836
2010 – 2019
- 2019
- [j27]Jiechen Li, Xueyong Li, Xiang Feng, Bing Wang
A novel target convergence set based random walk with restart for prediction of potential LncRNA-disease associations. BMC Bioinform. 20(1): 626 (2019) - [j26]Qingxin Xiao, Weilu Li, Yuanzhong Kai, Peng Chen
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) - [j25]ShanShan Hu
Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks. BMC Bioinform. 20-S(25): 689 (2019) - [j24]Ye Wang, Changqing Mei, Yuming Zhou, Yan Wang, Chunhou Zheng, Xiao Zhen, Yan Xiong, Peng Chen
Semi-supervised prediction of protein interaction sites from unlabeled sample information. BMC Bioinform. 20-S(25): 699 (2019) - [j23]Muchun Zhu, Xiaoping Song, Peng Chen
dbHDPLS: A database of human disease-related protein-ligand structures. Comput. Biol. Chem. 78: 353-358 (2019) - [j22]Lin-Wei Ge, Jun Zhang
Deep spatial attention hashing network for image retrieval. J. Vis. Commun. Image Represent. 63 (2019) - [j21]Jie Hang, Dexiang Zhang, Peng Chen
Classification of Plant Leaf Diseases Based on Improved Convolutional Neural Network. Sensors 19(19): 4161 (2019) - [j20]Baohua Yang
Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles. Sensors 19(20): 4416 (2019) - [c39]Jie Hang, Dexiang Zhang, Peng Chen
Identification of Apple Tree Trunk Diseases Based on Improved Convolutional Neural Network with Fused Loss Functions. ICIC (1) 2019: 274-283 - [c38]Wenyan Wang, Guangyu Wang, Jun Zhang, Peng Chen
Ranking Research Institutions Based on the Combination of Individual and Network Features. ICIC (3) 2019: 443-454 - [c37]Guangyu Wang, Bing Dai, Wenyan Wang, Hongming Long, Jun Zhang, Peng Chen
An Optimization Regression Model for Predicting Average Temperature of Core Dead Stock Column. ICIC (3) 2019: 468-478 - [c36]Xiao-Tao Xu, Jun Zhang, Peng Chen
Urine Sediment Detection Based on Deep Learning. ICIC (1) 2019: 543-552 - [c35]Tao Fang, Peng Chen
Identification of Apple Leaf Diseases Based on Convolutional Neural Network. ICIC (1) 2019: 553-564 - [c34]Panpan Lu, Kun Lu, Wenyan Wang, Jun Zhang, Peng Chen
Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model. ICIC (2) 2019: 558-568 - 2018
- [j19]Quanya Liu, Peng Chen
dbMPIKT: a database of kinetic and thermodynamic mutant protein interactions. BMC Bioinform. 19(1): 455:1-455:7 (2018) - [j18]Quanya Liu, Peng Chen
Hot spot prediction in protein-protein interactions by an ensemble system. BMC Syst. Biol. 12(9): 132 (2018) - [j17]Fang Zhou, Tin-Yu Wu, Jun Liu, Bing Wang
A 3D neural network for moving microorganism extraction. Neural Comput. Appl. 30(1): 57-67 (2018) - [j16]DeNan Xia, Peng Chen
Insect Detection and Classification Based on an Improved Convolutional Neural Network. Sensors 18(12): 4169 (2018) - [c33]Jun Zhang, Hui Lu, Yi Xia, Ting-Ting Han, Kai-Chao Miao, Ye-Qing Yao, Cheng-Xiao Liu, Jian-Ping Zhou, Peng Chen
Deep Convolutional Neural Network for Fog Detection. ICIC (2) 2018: 1-10 - [c32]Qingxin Xiao, Weilu Li, Peng Chen
Prediction of Crop Pests and Diseases in Cotton by Long Short Term Memory Network. ICIC (2) 2018: 11-16 - [c31]Run-xu Tan, Jun Zhang, Peng Chen
Cells Counting with Convolutional Neural Network. ICIC (3) 2018: 102-111 - [c30]Ting-Ting Han, Kai-Chao Miao, Ye-Qing Yao, Cheng-Xiao Liu, Jian-Ping Zhou, Hui Lu, Peng Chen
Convolutional Neural Network for Short Term Fog Forecasting Based on Meteorological Elements. ICIC (3) 2018: 143-148 - [c29]ShanShan Hu, DeNan Xia, Peng Chen
Using Novel Convolutional Neural Networks Architecture to Predict Drug-Target Interactions. ICIC (2) 2018: 432-437 - [c28]Nian Zhou, Lingshan Zhou, Lili Peng, Bing Wang
Verifying TCM Syndrome Hypothesis Based on Improved Latent Tree Model. ICIC (2) 2018: 460-469 - [c27]Wei-wei Gao, Jun Zhang, Peng Chen
Chinese Text Detection Using Deep Learning Model and Synthetic Data. ICIC (1) 2018: 503-512 - [c26]Lili Peng, Fang Chen, Nian Zhou, Peng Chen
Prediction of Protein-Protein Interaction Sites Combing Sequence Profile and Hydrophobic Information. ICIC (1) 2018: 697-702 - 2017
- [j15]Zhiwei Ji, Bing Wang
A linear programming computational framework integrates phosphor-proteomics and prior knowledge to predict drug efficacy. BMC Syst. Biol. 11(S-7): 127:1-127:13 (2017) - [j14]Sen Xia, Peng Chen
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) - [j13]Jun Zhang
DrugRPE: Random projection ensemble approach to drug-target interaction prediction. Neurocomputing 228: 256-262 (2017) - [j12]Jun Zhang
Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography. Neurocomputing 240: 183-190 (2017) - [c25]Feng-Lin Du, Jia-Xing Li, Zhi Yang, Peng Chen
CAPTCHA Recognition Based on Faster R-CNN. ICIC (2) 2017: 597-605 - [c24]Wenyan Wang, Kun Lu, Rui Hong, Peng Chen
A Machine Vision Method for Automatic Circular Parts Detection Based on Optimization Algorithm. ICIC (1) 2017: 600-611 - 2016
- [j11]Jun Zhang
Combine multiple mass spectral similarity measures for compound identification. Int. J. Data Min. Bioinform. 15(1): 84-100 (2016) - [j10]Peng Chen
A Sequence-Based Dynamic Ensemble Learning System for Protein Ligand-Binding Site Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 13(5): 901-912 (2016) - [c23]Bing Wang
Identifying mild cognitive impairment conversion to Alzheimer's disease from medical image information. ICCE-TW 2016: 1-2 - [c22]Fang Zhou, Jun Liu, Bing Wang
An improved multilayer self-organizing background subtraction algorithm for microorganism detection in sewage. ICCE-TW 2016: 1-2 - [c21]Peizhen Wang, Rui Sun, Dailin Zhang, Fang Zhou, Bing Wang
Classification of inertinite in coal macerical based on virtual sample. ICCE-TW 2016: 115-116 - [c20]ShanShan Hu, Peng Chen
Prediction of Hot Spots Based on Physicochemical Features and Relative Accessible Surface Area of Amino Acid Sequence. ICIC (1) 2016: 422-431 - [c19]Zhen Sun, Jun Zhang, Chun-Hou Zheng, Bing Wang
Accurate Prediction of Protein Hot Spots Residues Based on Gentle AdaBoost Algorithm. ICIC (1) 2016: 742-749 - [c18]Zhongwen Zhang, Peng Chen
Inferring Disease-Related Domain Using Network-Based Method. ICIC (1) 2016: 775-783 - [c17]Hao Shen, Wen Zhang, Peng Chen
A Feature Selection Scheme for Accurate Identification of Alzheimer's Disease. IWBBIO 2016: 71-81 - 2015
- [j9]Zhiwei Ji
NMFBFS: A NMF-Based Feature Selection Method in Identifying Pivotal Clinical Symptoms of Hepatocellular Carcinoma. Comput. Math. Methods Medicine 2015: 846942:1-846942:12 (2015) - [c16]Sen Xia, Peng Chen
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]Peng Chen
Sequence-Based Random Projection Ensemble Approach to Identify Hotspot Residues from Whole Protein Sequence. ICIC (2) 2015: 379-389 - [c14]Wen Zhang, Hao Shen, Zhiwei Ji, Guanmin Meng, Bing Wang
Identification of Mild Cognitive Impairment Using Extreme Learning Machines Model. ICIC (2) 2015: 589-600 - [c13]Peng Chen
A Random Projection Ensemble Approach to Drug-Target Interaction Prediction. ICIC (3) 2015: 693-699 - [c12]Bing Wang
A hierarchical model for identifying mild cognitive impairment. ICNC 2015: 599-604 - 2014
- [j8]Zhiwei Ji, Bing Wang
Predicting dynamic deformation of retaining structure by LSSVR-based time series method. Neurocomputing 137: 165-172 (2014) - 2013
- [j7]Zhu-Hong You
Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis. BMC Bioinform. 14(S-8): S10 (2013) - [j6]Bing Wang
Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features. BMC Bioinform. 14(S-8): S9 (2013) - [j5]Jian-Xun Mi
The nearest-farthest subspace classification for face recognition. Neurocomputing 113: 241-250 (2013) - [c11]Bing Wang
Dataset reconstruction for protein interface identification using manifold learning method. BIBM 2013: 398-403 - [c10]Bing Wang
Disease-Related Gene Expression Analysis Using an Ensemble Statistical Test Method. ICIC (2) 2013: 286-291 - 2011
- [j4]Seongho Kim, Aiqin Fang, Bing Wang
An optimal peak alignment for comprehensive two-dimensional gas chromatography mass spectrometry using mixture similarity measure. Bioinform. 27(12): 1660-1666 (2011) - [c9]Bing Wang, Peng Chen
Protein Interface Residues Prediction Based on Amino Acid Properties Only. ICIC (3) 2011: 448-452 - [c8]Bing Wang, Aiqin Fang, Xue Shi, Seongho Kim, Xiang Zhang:
DISCO2: A Comprehensive Peak Alignment Algorithm for Two-Dimensional Gas Chromatography Time-of-Flight Mass Spectrometry. ICIC (3) 2011: 486-491 - 2010
- [j3]Bing Wang
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry. BMC Bioinform. 11: 182 (2010) - [j2]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) - [c7]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
- 2009
- [j1]Bing Wang, Steve Valentine, Sriram Raghuraman, Manolo Plasencia, Xiang Zhang:
Prediction of peptide drift time in ion mobility-mass spectrometry. BMC Bioinform. 10(S-7) (2009) - [c6]Peng Chen
IRCDB: A Database of Inter-residues Contacts in Protein Chains. DBKDA 2009: 1-6 - 2007
- [c5]Bing Wang, Lu-Sheng Ge, De-Shuang Huang, Hau-San Wong
Prediction of Protein-Protein Interacting Sites by Combining SVM Algorithm with Bayesian Method. ICNC (2) 2007: 329-333 - [c4]Peng Chen
Prediction of Long-range Contacts from Sequence Profile. IJCNN 2007: 938-943 - [c3]Junfeng Xia
Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network. IJCNN 2007: 2471-2475 - 2006
- [c2]Bing Wang, Hau-San Wong, Peng Chen
Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. IJCNN 2006: 2325-2330 - [c1]Peng Chen
Long-Range Interaction Analysis using Principal Component Analysis. IJCNN 2006: 2331-2336
Coauthor Index
[c48] [j48] [j47] [j46] [c47] [c46] [c45] [c44] [c43] [c42] [j44] [j43] [j42] [c41] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j33] [j32] [j30] [j28] [c40] [j26] [j25] [j24] [j23] [j22] [j21] [c39] [c38] [c37] [c36] [c35] [c34] [j19] [j18] [j16] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [j14] [j13] [j12] [c25] [c24] [j11] [j10] [c20] [c19] [c18] [c17] [c16] [c15] [c13] [c12] [j6] [c9] [c6] [c4] [c2] [c1]
[c48] [j48] [j46] [c47] [c46] [c45] [c44] [c43] [c42] [j44] [j43] [j42] [c41] [j41] [j40] [j39] [j38] [j35] [j33] [j32] [j30] [c40] [j26] [j25] [j24] [j22] [j21] [c39] [c38] [c37] [c36] [c35] [c34] [j19] [j18] [j16] [c33] [c31] [c30] [c28] [c27] [c26] [j14] [j13] [j12] [c25] [c24] [j11] [j10] [c20] [c19] [c18] [c17] [c16] [c15] [c13] [c12] [j6] [c9] [j2] [c7]
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last updated on 2024-12-26 00:45 CET by the dblp team
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