Peng Chen

Orcid: 0000-0002-5810-8159

Affiliations:
  • Anhui University, Institute of Health Sciences, Hefei, China
  • King Abdullah University of Science and Technology, Mathematical and Computer Sciences and Engineering Division (former)
  • Chinese Academy of Science, Institute of Intelligent Machines (IIM) (former)


According to our database1, Peng Chen authored at least 98 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Spatial convolutional self-attention-based transformer module for strawberry disease identification under complex background.
Comput. Electron. Agric., September, 2023

An attention-based feature pyramid network for single-stage small object detection.
Multim. Tools Appl., May, 2023

AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection.
IEEE Trans. Instrum. Meas., 2023

SGNet: Sequence-Based Convolution and Ligand Graph Network for Protein Binding Affinity Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Generative adversarial network with transformer generator for boosting ECG classification.
Biomed. Signal Process. Control., 2023

A dual-stream deep neural network integrated with adaptive boosting for sleep staging.
Biomed. Signal Process. Control., 2023

Corneal Ulcer Automatic Classification Network Based on Improved Mobile ViT.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Improved YOLOv5s Method for Nut Detection on Ultra High Voltage Power Towers.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Efficient and Precise Detection of Surface Defects on PCBs: A YOLO Based Approach.
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.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Multiple Classification Network of Concrete Defects Based on Improved EfficientNetV2.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Collaborative Encoder for Accurate Inversion of Real Face Image.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022
Transformer Model for Functional Near-Infrared Spectroscopy Classification.
IEEE J. Biomed. Health Informatics, 2022

A Real-Time Steel Surface Defect Detection Approach With High Accuracy.
IEEE Trans. Instrum. Meas., 2022

Protein-Protein Interaction Sites Prediction Based on an Under-Sampling Strategy and Random Forest Algorithm.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Adaptive feature fusion pyramid network for multi-classes agricultural pest detection.
Comput. Electron. Agric., 2022

A 3D Medical Image Segmentation Framework Fusing Convolution and Transformer Features.
Proceedings of the Intelligent Computing Theories and Application, 2022

A Sub-network Aggregation Neural Network for Non-invasive Blood Pressure Prediction.
Proceedings of the Intelligent Computing Theories and Application, 2022

COVID-19 Classification from Chest X-rays Based on Attention and Knowledge Distillation.
Proceedings of the Intelligent Computing Theories and Application, 2022

2021
Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Imbalance Data Processing Strategy for Protein Interaction Sites Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

A Convolutional Neural Network System to Discriminate Drug-Target Interactions.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Paper acceptance prediction at the institutional level based on the combination of individual and network features.
Scientometrics, 2021

Automatic estimation of road visibility in foggy weather based on image feature statistics.
J. Electronic Imaging, 2021

Recognition and counting of wheat mites in wheat fields by a three-step deep learning method.
Neurocomputing, 2021

S-RPN: Sampling-balanced region proposal network for small crop pest detection.
Comput. Electron. Agric., 2021

2020
A Deep Learning-Based Chemical System for QSAR Prediction.
IEEE J. Biomed. Health Informatics, 2020

Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network.
Sensors, 2020

Crop leaf disease grade identification based on an improved convolutional neural network.
J. Electronic Imaging, 2020

Application of LSTM for short term fog forecasting based on meteorological elements.
Neurocomputing, 2020

Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation.
Comput. Electron. Agric., 2020

Discrete Haze Level Dehazing Network.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019
Classification of Plant Leaf Diseases Based on Improved Convolutional Neural Network.
Sensors, 2019

Deep spatial attention hashing network for image retrieval.
J. Vis. Commun. Image Represent., 2019

dbHDPLS: A database of human disease-related protein-ligand structures.
Comput. Biol. Chem., 2019

Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network.
BMC Bioinform., 2019

Semi-supervised prediction of protein interaction sites from unlabeled sample information.
BMC Bioinform., 2019

Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks.
BMC Bioinform., 2019

Urine Sediment Detection Based on Deep Learning.
Proceedings of the Intelligent Computing Theories and Application, 2019

Ranking Research Institutions Based on the Combination of Individual and Network Features.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

An Optimization Regression Model for Predicting Average Temperature of Core Dead Stock Column.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model.
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.
Proceedings of the Intelligent Computing Theories and Application, 2019

Identification of Apple Leaf Diseases Based on Convolutional Neural Network.
Proceedings of the Intelligent Computing Theories and Application, 2019

2018
Insect Detection and Classification Based on an Improved Convolutional Neural Network.
Sensors, 2018

Multi-level learning features for automatic classification of field crop pests.
Comput. Electron. Agric., 2018

Hot spot prediction in protein-protein interactions by an ensemble system.
BMC Syst. Biol., 2018

Protein-protein interface hot spots prediction based on a hybrid feature selection strategy.
BMC Bioinform., 2018

dbMPIKT: a database of kinetic and thermodynamic mutant protein interactions.
BMC Bioinform., 2018

A new soft assignment K-means algorithm.
Proceedings of the 2nd International Conference on Machine Learning and Soft Computing, 2018

Verifying TCM Syndrome Hypothesis Based on Improved Latent Tree Model.
Proceedings of the Intelligent Computing Theories and Application, 2018

Deep Convolutional Neural Network for Fog Detection.
Proceedings of the Intelligent Computing Theories and Application, 2018

Prediction of Crop Pests and Diseases in Cotton by Long Short Term Memory Network.
Proceedings of the Intelligent Computing Theories and Application, 2018

Cells Counting with Convolutional Neural Network.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Prediction of Protein-Protein Interaction Sites Combing Sequence Profile and Hydrophobic Information.
Proceedings of the Intelligent Computing Theories and Application, 2018

Using Novel Convolutional Neural Networks Architecture to Predict Drug-Target Interactions.
Proceedings of the Intelligent Computing Theories and Application, 2018

Convolutional Neural Network for Short Term Fog Forecasting Based on Meteorological Elements.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Chinese Text Detection Using Deep Learning Model and Synthetic Data.
Proceedings of the Intelligent Computing Theories and Application, 2018

Similarity-Based Integrated Method for Predicting Drug-Disease Interactions.
Proceedings of the Intelligent Computing Theories and Application, 2018

2017
Robust object tracking via multi-scale patch based sparse coding histogram.
Multim. Tools Appl., 2017

Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography.
Neurocomputing, 2017

DrugRPE: Random projection ensemble approach to drug-target interaction prediction.
Neurocomputing, 2017

Utilization of rotation-invariant uniform LBP histogram distribution and statistics of connected regions in automatic image annotation based on multi-label learning.
Neurocomputing, 2017

A Machine Vision Method for Automatic Circular Parts Detection Based on Optimization Algorithm.
Proceedings of the Intelligent Computing Theories and Application, 2017

CAPTCHA Recognition Based on Faster R-CNN.
Proceedings of the Intelligent Computing Theories and Application, 2017

2016
A Sequence-Based Dynamic Ensemble Learning System for Protein Ligand-Binding Site Prediction.
IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Combine multiple mass spectral similarity measures for compound identification.
Int. J. Data Min. Bioinform., 2016

A Feature Selection Scheme for Accurate Identification of Alzheimer's Disease.
Proceedings of the Bioinformatics and Biomedical Engineering, 2016

Inferring Disease-Related Domain Using Network-Based Method.
Proceedings of the Intelligent Computing Theories and Application, 2016

Accurate Prediction of Protein Hot Spots Residues Based on Gentle AdaBoost Algorithm.
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.
Proceedings of the Intelligent Computing Theories and Application, 2016

2015
Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning.
Comput. Electron. Agric., 2015

A hierarchical model for identifying mild cognitive impairment.
Proceedings of the 11th International Conference on Natural Computation, 2015

Prediction of Molecular Substructure Using Mass Spectral Data Based on Deep Learning.
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.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

A Random Projection Ensemble Approach to Drug-Target Interaction Prediction.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

Sequence-Based Random Projection Ensemble Approach to Identify Hotspot Residues from Whole Protein Sequence.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Compound Identification Using Random Projection for Gas Chromatography-Mass Spectrometry Data.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

2014
Multi-scale patch-based sparse appearance model for robust object tracking.
Mach. Vis. Appl., 2014

Collaborative object tracking model with local sparse representation.
J. Vis. Commun. Image Represent., 2014

Interaction Relation Ontology Learning.
J. Comput. Biol., 2014

Sparse Representation-Based Approach for Unsupervised Feature Selection.
Int. J. Pattern Recognit. Artif. Intell., 2014

PPI-IRO: a two-stage method for protein-protein interaction extraction based on interaction relation ontology.
Int. J. Data Min. Bioinform., 2014

LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone.
BMC Bioinform., 2014

2013
Multiple instance learning tracking method with local sparse representation.
IET Comput. Vis., 2013

Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features.
BMC Bioinform., 2013

Consensus of Sample-Balanced Classifiers for Identifying Ligand-Binding Residue by Co-evolutionary Physicochemical Characteristics of Amino Acids.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013

2012
Detection of Outlier Residues for Improving Interface Prediction in Protein Heterocomplexes.
IEEE ACM Trans. Comput. Biol. Bioinform., 2012

2011
A dynamic subspace learning method for tumor classification using microarray gene expression data.
Proceedings of the Seventh International Conference on Natural Computation, 2011

Protein Interface Residues Prediction Based on Amino Acid Properties Only.
Proceedings of the Bio-Inspired Computing and Applications, 2011

2010
Prediction of inter-residue contact clusters from hydrophobic cores.
Int. J. Data Min. Bioinform., 2010

Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information.
BMC Bioinform., 2010

2009
Protein fold Classification with Genetic Algorithms and Feature Selection.
J. Bioinform. Comput. Biol., 2009

IRCDB: A Database of Inter-residues Contacts in Protein Chains.
Proceedings of the First International Conference on Advances in Databases, 2009

2008
Predicting contact map using Radial Basis Function Neural Network with Conformational Energy Function.
Int. J. Bioinform. Res. Appl., 2008

2007
Prediction of Long-range Contacts from Sequence Profile.
Proceedings of the International Joint Conference on Neural Networks, 2007

2006
Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

Long-Range Interaction Analysis using Principal Component Analysis.
Proceedings of the International Joint Conference on Neural Networks, 2006


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