Peng Chen

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 79

Top Venues

ICIC (2)

ICIC (1)

ICIC (3)

Comput. Electron. Agric.

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)
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) (2023)
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) (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)
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 (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)
YaTe Liu, Chun-Hou Zheng, Jun Zhang, Bing Wang, Peng Chen
Collaborative Encoder for Accurate Inversion of Real Face Image. ICIC (2) (2023)
Lin Jiao, Chenrui Kang, Shifeng Dong, Peng Chen, Gaoqiang Li, Rujing Wang
An attention-based feature pyramid network for single-stage small object detection. Multim. Tools Appl. 82 (12) (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)
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)
Fazhan Zhu, Jiaxing Lv, Kun Lu, Wenyan Wang, Hongshou Cong, Jun Zhang, Peng Chen, Yuan Zhao, Ziheng Wu
A 3D Medical Image Segmentation Framework Fusing Convolution and Transformer Features. ICIC (1) (2022)
Jiaxing Lv, Fazhan Zhu, Kun Lu, Wenyan Wang, Jun Zhang, Peng Chen, Yuan Zhao, Ziheng Wu
COVID-19 Classification from Chest X-rays Based on Attention and Knowledge Distillation. ICIC (1) (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)
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 (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)
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 (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)
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)
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)
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)
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)
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)
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)
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)
Yan-Zhe Di, Peng Chen, Chun-Hou Zheng
Similarity-Based Integrated Method for Predicting Drug-Disease Interactions. ICIC (2) (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)
Yanhua Qiao, Yi Xiong, Hongyun Gao, Xiaolei Zhu, Peng Chen
Protein-protein interface hot spots prediction based on a hybrid feature selection strategy. 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)
Peng Chen, Yongmei Chen, Beibei Jin
A new soft assignment K-means algorithm. ICMLSC (2018)
Chengjun Xie, Rujing Wang, Jie Zhang, Peng Chen, Wei Dong, Rui Li, Tianjiao Chen, Hongbo Chen
Multi-level learning features for automatic classification of field crop pests. Comput. Electron. Agric. 152 (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)
Zhongpei Wang, Hao Wang, Jieqing Tan, Peng Chen, Chengjun Xie
Robust object tracking via multi-scale patch based sparse coding histogram. Multim. Tools Appl. 76 (10) (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)
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)
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)
Zhongwen Zhang, Peng Chen, Jun Zhang, Bing Wang
Inferring Disease-Related Domain Using Network-Based Method. ICIC (1) (2016)
Zhi-Shui Zhang, Li-Li Cao, Jun Zhang, Peng Chen, Chun-Hou Zheng
Prediction of Molecular Substructure Using Mass Spectral Data Based on Deep Learning. ICIC (2) (2015)
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)
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)
Chengjun Xie, Jie Zhang, Rui Li, Jinyan Li, Peilin Hong, Junfeng Xia, Peng Chen
Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning. Comput. Electron. Agric. 119 (2015)
Bing Wang, Liyan Du, Jun Zhang, Peng Chen
A hierarchical model for identifying mild cognitive impairment. ICNC (2015)
Li-Li Cao, Zhi-Shui Zhang, Peng Chen, Jun Zhang
Compound Identification Using Random Projection for Gas Chromatography-Mass Spectrometry Data. ICIC (3) (2015)
Peng Chen, ShanShan Hu, Bing Wang, Jun Zhang
A Random Projection Ensemble Approach to Drug-Target Interaction Prediction. ICIC (3) (2015)
Chengjun Xie, Jieqing Tan, Peng Chen, Jie Zhang, Lei He
Multi-scale patch-based sparse appearance model for robust object tracking. Mach. Vis. Appl. 25 (7) (2014)
Chengjun Xie, Jieqing Tan, Peng Chen, Jie Zhang, Lei He
Collaborative object tracking model with local sparse representation. J. Vis. Commun. Image Represent. 25 (2) (2014)
Peng Chen, Jianhua Z. Huang, Xin Gao
LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone. BMC Bioinform. 15 (S-15) (2014)
Chuanxi Li, Rujing Wang, Peng Chen, He Huang, Yaru Su
Interaction Relation Ontology Learning. J. Comput. Biol. 21 (1) (2014)
Chuanxi Li, Peng Chen, Rujing Wang, Xiu-Jie Wang, Yaru Su, Jinyan Li
PPI-IRO: a two-stage method for protein-protein interaction extraction based on interaction relation ontology. Int. J. Data Min. Bioinform. 10 (1) (2014)
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)
Peng Chen
Consensus of Sample-Balanced Classifiers for Identifying Ligand-Binding Residue by Co-evolutionary Physicochemical Characteristics of Amino Acids. ICIC (3) (2013)
Chengjun Xie, Jieqing Tan, Peng Chen, Jie Zhang, Lei He
Multiple instance learning tracking method with local sparse representation. IET Comput. Vis. 7 (5) (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)
Peng Chen, Limsoon Wong, Jinyan Li
Detection of Outlier Residues for Improving Interface Prediction in Protein Heterocomplexes. IEEE ACM Trans. Comput. Biol. Bioinform. 9 (4) (2012)
Yaru Su, Rujing Wang, Chuanxi Li, Peng Chen
A dynamic subspace learning method for tumor classification using microarray gene expression data. ICNC (2011)
Bing Wang, Peng Chen, Jun Zhang
Protein Interface Residues Prediction Based on Amino Acid Properties Only. ICIC (3) (2011)
Peng Chen, Jinyan Li
Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information. BMC Bioinform. 11 (2010)
Peng Chen, Chunmei Liu, Legand L. Burge III, Mahmood Mohammad, William M. Southerland, Clay Gloster
Prediction of inter-residue contact clusters from hydrophobic cores. Int. J. Data Min. Bioinform. 4 (6) (2010)
Peng Chen, Chunmei Liu, Legand L. Burge III, Mahmood Mohammad, William M. Southerland, Clay Gloster
Protein fold Classification with Genetic Algorithms and Feature Selection. J. Bioinform. Comput. Biol. 7 (5) (2009)
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, De-Shuang Huang, Xing-Ming Zhao, Xueling Li
Predicting contact map using Radial Basis Function Neural Network with Conformational Energy Function. Int. J. Bioinform. Res. Appl. 4 (2) (2008)
Peng Chen, Chunmei Liu, Legand L. Burge III, Mahmood Mohammad, William M. Southerland, Clay Gloster
Prediction of Inter-residue Contact Clusters from Hydrophobic Cores. ICMLA (2008)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Peng Chen