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Peng Chen 0001
陳鵬
Person information
- unicode name: 陳鵬
- affiliation: Anhui University, Institute of Health Sciences, Hefei, China
- affiliation (former): King Abdullah University of Science and Technology, Mathematical and Computer Sciences and Engineering Division
- affiliation (former): Chinese Academy of Science, Institute of Intelligent Machines (IIM)
Other persons with the same name
- Peng Chen — disambiguation page
- Peng Chen 0002
— Mie University, Faculty of Bioresources, Tsu, Japan (and 1 more)
- Peng Chen 0003 — Central South University, Changsha
- Peng Chen 0004 — University of Science and Technology of China
- Peng Chen 0005 — East China Normal University
- Peng Chen 0006 — Florida State University (and 1 more)
- Peng Chen 0007
- Peng Chen 0008
- Peng Chen 0009 — Beijing University of Posts and Telecommunications
- Peng Chen 0010 — Kyushu Institute of Technology
- Peng Chen 0011 — China Three Gorges University
- Peng Chen 0012 — University of North Texas
- Peng Chen 0013 — North China University of Water Conservancy and Hydroelectric Power
- Peng Chen 0014 — Peking University, Shenzhen, China
- Peng Chen 0015 — Indiana University, Bloomington, USA
- Peng Chen 0016 — ETH Zurich, Switzerland
- Peng Chen 0017
- Peng Chen 0018
- Peng Chen 0019
- Peng Chen 0020
- Peng Chen 0021
- Peng Chen 0022
- Peng Chen 0023
- Peng Chen 0024
- Peng Chen 0025
- Peng Chen 0026 — Dalian Maritime University, Navigation College, Dalian, China (and 1 more)
- Peng Chen 0027
- Peng Chen 0028 — China Telecom, Technology Innovation Center, Beijing, China
- Peng Chen 0029 — Microsoft Research and AI Group, Beijing, China
- Peng Chen 0030
- Peng Chen 0031
- Peng Chen 0032
- Peng Chen 0033
- Peng Chen 0034 — ByteDance AI Lab, Beijing, China (and 1 more)
- Peng Chen 0035
- Peng Chen 0036
- Peng Chen 0037
- Peng Chen 0038 — East China Normal University, China
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Journal Articles
- 2023
- [j53]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) - [j52]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) - [j51]Gaoqiang Li, Lin Jiao, Peng Chen, Kang Liu, Rujing Wang, Shifeng Dong, Chenrui Kang:
Spatial convolutional self-attention-based transformer module for strawberry disease identification under complex background. Comput. Electron. Agric. 212: 108121 (2023) - [j50]Lin Jiao
An attention-based feature pyramid network for single-stage small object detection. Multim. Tools Appl. 82(12): 18529-18544 (2023) - [j49]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) - [j48]Xin Xiang
AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - 2022
- [j47]Lin Jiao, Chengjun Xie, Peng Chen, Jianming Du, Rui Li, Jie Zhang:
Adaptive feature fusion pyramid network for multi-classes agricultural pest detection. Comput. Electron. Agric. 195: 106827 (2022) - [j46]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) - [j45]Wenyan Wang
A Real-Time Steel Surface Defect Detection Approach With High Accuracy. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j44]Zenghui Wang
Transformer Model for Functional Near-Infrared Spectroscopy Classification. IEEE J. Biomed. Health Informatics 26(6): 2559-2569 (2022) - 2021
- [j43]Rujing Wang, Lin Jiao, Chengjun Xie, Peng Chen, Jianming Du, Rui Li:
S-RPN: Sampling-balanced region proposal network for small crop pest detection. Comput. Electron. Agric. 187: 106290 (2021) - [j42]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) - [j41]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) - [j40]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) - [j39]Bing Wang
Imbalance Data Processing Strategy for Protein Interaction Sites Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 985-994 (2021) - [j38]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) - [j37]ShanShan Hu
A Convolutional Neural Network System to Discriminate Drug-Target Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 18(4): 1315-1324 (2021) - 2020
- [j36]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) - [j35]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) - [j34]Tao Fang, Peng Chen
Crop leaf disease grade identification based on an improved convolutional neural network. J. Electronic Imaging 29(1): 013004 (2020) - [j33]Qian Yan, Baohua Yang
Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network. Sensors 20(12): 3535 (2020) - [j32]ShanShan Hu
A Deep Learning-Based Chemical System for QSAR Prediction. IEEE J. Biomed. Health Informatics 24(10): 3020-3028 (2020) - 2019
- [j31]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) - [j30]ShanShan Hu
Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks. BMC Bioinform. 20-S(25): 689 (2019) - [j29]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) - [j28]Muchun Zhu, Xiaoping Song, Peng Chen
dbHDPLS: A database of human disease-related protein-ligand structures. Comput. Biol. Chem. 78: 353-358 (2019) - [j27]Lin-Wei Ge, Jun Zhang
Deep spatial attention hashing network for image retrieval. J. Vis. Commun. Image Represent. 63 (2019) - [j26]Jie Hang, Dexiang Zhang, Peng Chen
Classification of Plant Leaf Diseases Based on Improved Convolutional Neural Network. Sensors 19(19): 4161 (2019) - 2018
- [j25]Yanhua Qiao, Yi Xiong
Protein-protein interface hot spots prediction based on a hybrid feature selection strategy. BMC Bioinform. 19(1): 14:1-14:16 (2018) - [j24]Quanya Liu, Peng Chen
dbMPIKT: a database of kinetic and thermodynamic mutant protein interactions. BMC Bioinform. 19(1): 455:1-455:7 (2018) - [j23]Quanya Liu, Peng Chen
Hot spot prediction in protein-protein interactions by an ensemble system. BMC Syst. Biol. 12(9): 132 (2018) - [j22]Chengjun Xie, Rujing Wang, Jie Zhang, Peng Chen
Multi-level learning features for automatic classification of field crop pests. Comput. Electron. Agric. 152: 233-241 (2018) - [j21]DeNan Xia, Peng Chen
Insect Detection and Classification Based on an Improved Convolutional Neural Network. Sensors 18(12): 4169 (2018) - 2017
- [j20]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) - [j19]Jun Zhang
DrugRPE: Random projection ensemble approach to drug-target interaction prediction. Neurocomputing 228: 256-262 (2017) - [j18]Jun Zhang
Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography. Neurocomputing 240: 183-190 (2017) - [j17]Zhongpei Wang, Hao Wang, Jieqing Tan, Peng Chen
Robust object tracking via multi-scale patch based sparse coding histogram. Multim. Tools Appl. 76(10): 12181-12203 (2017) - 2016
- [j16]Jun Zhang
Combine multiple mass spectral similarity measures for compound identification. Int. J. Data Min. Bioinform. 15(1): 84-100 (2016) - [j15]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) - 2015
- [j14]Chengjun Xie, Jie Zhang, Rui Li, Jinyan Li, Peilin Hong, Junfeng Xia
Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning. Comput. Electron. Agric. 119: 123-132 (2015) - 2014
- [j13]Peng Chen
LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone. BMC Bioinform. 15(S-15): S4 (2014) - [j12]Chuanxi Li, Peng Chen
PPI-IRO: a two-stage method for protein-protein interaction extraction based on interaction relation ontology. Int. J. Data Min. Bioinform. 10(1): 98-119 (2014) - [j11]Yaru Su, Chuanxi Li, Rujing Wang, Peng Chen
Sparse Representation-Based Approach for Unsupervised Feature Selection. Int. J. Pattern Recognit. Artif. Intell. 28(3) (2014) - [j10]Chuanxi Li, Rujing Wang, Peng Chen
Interaction Relation Ontology Learning. J. Comput. Biol. 21(1): 80-88 (2014) - [j9]Chengjun Xie, Jieqing Tan, Peng Chen
Collaborative object tracking model with local sparse representation. J. Vis. Commun. Image Represent. 25(2): 423-434 (2014) - [j8]Chengjun Xie, Jieqing Tan, Peng Chen
Multi-scale patch-based sparse appearance model for robust object tracking. Mach. Vis. Appl. 25(7): 1859-1876 (2014) - 2013
- [j7]Bing Wang
Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features. BMC Bioinform. 14(S-8): S9 (2013) - [j6]Chengjun Xie, Jieqing Tan, Peng Chen
Multiple instance learning tracking method with local sparse representation. IET Comput. Vis. 7(5): 320-334 (2013) - 2012
- [j5]Peng Chen
Detection of Outlier Residues for Improving Interface Prediction in Protein Heterocomplexes. IEEE ACM Trans. Comput. Biol. Bioinform. 9(4): 1155-1165 (2012) - 2010
- [j4]Peng Chen, Jinyan Li:
Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information. BMC Bioinform. 11: 402 (2010) - [j3]Peng Chen
Prediction of inter-residue contact clusters from hydrophobic cores. Int. J. Data Min. Bioinform. 4(6): 722-734 (2010) - 2009
- [j2]Peng Chen
Protein fold Classification with Genetic Algorithms and Feature Selection. J. Bioinform. Comput. Biol. 7(5): 773-788 (2009) - 2008
- [j1]Peng Chen
Predicting contact map using Radial Basis Function Neural Network with Conformational Energy Function. Int. J. Bioinform. Res. Appl. 4(2): 123-136 (2008)
Conference and Workshop Papers
- 2024
- [c47]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
- [c46]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]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]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]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]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]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
- [c40]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]Fazhan Zhu
A 3D Medical Image Segmentation Framework Fusing Convolution and Transformer Features. ICIC (1) 2022: 772-786 - [c38]Jiaxing Lv
COVID-19 Classification from Chest X-rays Based on Attention and Knowledge Distillation. ICIC (1) 2022: 787-798 - 2020
- [c37]Xiaofeng Cong
Discrete Haze Level Dehazing Network. ACM Multimedia 2020: 1828-1836 - 2019
- [c36]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 - [c35]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 - [c34]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 - [c33]Xiao-Tao Xu, Jun Zhang, Peng Chen
Urine Sediment Detection Based on Deep Learning. ICIC (1) 2019: 543-552 - [c32]Tao Fang, Peng Chen
Identification of Apple Leaf Diseases Based on Convolutional Neural Network. ICIC (1) 2019: 553-564 - [c31]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
- [c30]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 - [c29]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 - [c28]Run-xu Tan, Jun Zhang, Peng Chen
Cells Counting with Convolutional Neural Network. ICIC (3) 2018: 102-111 - [c27]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 - [c26]Yan-Zhe Di, Peng Chen
Similarity-Based Integrated Method for Predicting Drug-Disease Interactions. ICIC (2) 2018: 395-400 - [c25]ShanShan Hu, DeNan Xia, Peng Chen
Using Novel Convolutional Neural Networks Architecture to Predict Drug-Target Interactions. ICIC (2) 2018: 432-437 - [c24]Nian Zhou, Lingshan Zhou, Lili Peng, Bing Wang
Verifying TCM Syndrome Hypothesis Based on Improved Latent Tree Model. ICIC (2) 2018: 460-469 - [c23]Wei-wei Gao, Jun Zhang, Peng Chen
Chinese Text Detection Using Deep Learning Model and Synthetic Data. ICIC (1) 2018: 503-512 - [c22]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 - [c21]Peng Chen
A new soft assignment K-means algorithm. ICMLSC 2018: 57-61 - 2017
- [c20]Feng-Lin Du, Jia-Xing Li, Zhi Yang, Peng Chen
CAPTCHA Recognition Based on Faster R-CNN. ICIC (2) 2017: 597-605 - [c19]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
- [c18]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 - [c17]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 - [c16]Zhongwen Zhang, Peng Chen
Inferring Disease-Related Domain Using Network-Based Method. ICIC (1) 2016: 775-783 - [c15]Hao Shen, Wen Zhang, Peng Chen
A Feature Selection Scheme for Accurate Identification of Alzheimer's Disease. IWBBIO 2016: 71-81 - 2015
- [c14]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 - [c13]Peng Chen
Sequence-Based Random Projection Ensemble Approach to Identify Hotspot Residues from Whole Protein Sequence. ICIC (2) 2015: 379-389 - [c12]Zhi-Shui Zhang, Li-Li Cao, Jun Zhang, Peng Chen
Prediction of Molecular Substructure Using Mass Spectral Data Based on Deep Learning. ICIC (2) 2015: 520-529 - [c11]Li-Li Cao, Zhi-Shui Zhang, Peng Chen
Compound Identification Using Random Projection for Gas Chromatography-Mass Spectrometry Data. ICIC (3) 2015: 686-692 - [c10]Peng Chen
A Random Projection Ensemble Approach to Drug-Target Interaction Prediction. ICIC (3) 2015: 693-699 - [c9]Bing Wang
A hierarchical model for identifying mild cognitive impairment. ICNC 2015: 599-604 - 2013
- [c8]Peng Chen
Consensus of Sample-Balanced Classifiers for Identifying Ligand-Binding Residue by Co-evolutionary Physicochemical Characteristics of Amino Acids. ICIC (3) 2013: 206-212 - 2011
- [c7]Bing Wang, Peng Chen
Protein Interface Residues Prediction Based on Amino Acid Properties Only. ICIC (3) 2011: 448-452 - [c6]Yaru Su, Rujing Wang, Chuanxi Li, Peng Chen
A dynamic subspace learning method for tumor classification using microarray gene expression data. ICNC 2011: 396-400 - 2009
- [c5]Peng Chen
IRCDB: A Database of Inter-residues Contacts in Protein Chains. DBKDA 2009: 1-6 - 2008
- [c4]Peng Chen
Prediction of Inter-residue Contact Clusters from Hydrophobic Cores. ICMLA 2008: 703-708 - 2007
- [c3]Peng Chen
Prediction of Long-range Contacts from Sequence Profile. IJCNN 2007: 938-943 - 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
[j49] [j48] [j46] [j45] [j44] [j42] [j41] [j40] [j39] [j38] [j37] [j36] [j35] [j34] [j33] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [j24] [j23] [j21] [j20] [j19] [j18] [j16] [j15] [j7] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c25] [c24] [c23] [c22] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c10] [c9] [c7] [c5] [c3] [c2] [c1]
[j53] [j52] [j48] [j46] [j45] [j44] [j42] [j41] [j40] [j39] [j36] [j35] [j34] [j33] [j31] [j30] [j29] [j27] [j26] [j24] [j23] [j21] [j20] [j19] [j18] [j16] [j15] [j7] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c28] [c27] [c24] [c23] [c22] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c7]
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