Prediction of contact map integrated PNN with conformational energy. - Peng Chen 001; De-Shuang Huang; Bing Wang 004; Yunping Zhu; Yixue Li (IJCNN, 2005)

Predicting protein-protein interactions based on protein-domain relationships. - Bing Wang 004; De-Shuang Huang; Peng Chen 001; Yunping Zhu; Yixue Li (IJCNN, 2005)

Long-Range Interaction Analysis using Principal Component Analysis. - Peng Chen 001; Bing Wang 004; Hau-San Wong; De-Shuang Huang (IJCNN, 2006)

Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks. - Bing Wang 004; Hau-San Wong; Peng Chen 001; Hong-Qiang Wang; De-Shuang Huang (IJCNN, 2006)

Prediction of Long-range Contacts from Sequence Profile. - Peng Chen 001; Bing Wang 004; Hau-San Wong; De-Shuang Huang (IJCNN, 2007)

Predicting contact map using Radial Basis Function Neural Network with Conformational Energy Function. - Peng Chen 001; De-Shuang Huang; Xing-Ming Zhao; Xueling Li (Int. J. Bioinform. Res. Appl., 2008)

IRCDB: A Database of Inter-residues Contacts in Protein Chains. - Peng Chen 001; Chunmei Liu; Legand L. Burge III; Mahmood Mohammad; William M. Southerland; Clay S. Gloster Jr.; Bing Wang 004 (DBKDA, 2009)

Protein fold Classification with Genetic Algorithms and Feature Selection. - Peng Chen 001; Chunmei Liu; Legand L. Burge III; Mahmood Mohammad; William M. Southerland; Clay Gloster (J. Bioinform. Comput. Biol., 2009)

Sequence-based identification of interface residues by an integrative profile combining hydrophobic and evolutionary information. - Peng Chen 001; Jinyan Li 001 (BMC Bioinform., 2010)

Prediction of inter-residue contact clusters from hydrophobic cores. - Peng Chen 001; Chunmei Liu; Legand L. Burge III; Mahmood Mohammad; William M. Southerland; Clay Gloster (Int. J. Data Min. Bioinform., 2010)

Protein Interface Residues Prediction Based on Amino Acid Properties Only. - Bing Wang 004; Peng Chen 001; Jun Zhang 011 (ICIC (3), 2011)

A dynamic subspace learning method for tumor classification using microarray gene expression data. - Yaru Su; Rujing Wang; Chuanxi Li; Peng Chen 001 (ICNC, 2011)

Detection of Outlier Residues for Improving Interface Prediction in Protein Heterocomplexes. - Peng Chen 001; Limsoon Wong; Jinyan Li 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2012)

Consensus of Sample-Balanced Classifiers for Identifying Ligand-Binding Residue by Co-evolutionary Physicochemical Characteristics of Amino Acids. - Peng Chen 001 (ICIC (3), 2013)

Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features. - Bing Wang 004; Jun Zhang 011; Peng Chen 001; Zhiwei Ji; Shuping Deng; Chi Li (BMC Bioinform., 2013)

Multiple instance learning tracking method with local sparse representation. - Chengjun Xie; Jieqing Tan; Peng Chen 001; Jie Zhang 033; Lei He 002 (IET Comput. Vis., 2013)

LigandRFs: random forest ensemble to identify ligand-binding residues from sequence information alone. - Peng Chen 001; Jianhua Z. Huang; Xin Gao 001 (BMC Bioinform., 2014)

PPI-IRO: a two-stage method for protein-protein interaction extraction based on interaction relation ontology. - Chuanxi Li; Peng Chen 001; Rujing Wang; Xiu-Jie Wang; Yaru Su; Jinyan Li 001 (Int. J. Data Min. Bioinform., 2014)

Sparse Representation-Based Approach for Unsupervised Feature Selection. - Yaru Su; Chuanxi Li; Rujing Wang; Peng Chen 001 (Int. J. Pattern Recognit. Artif. Intell., 2014)

Interaction Relation Ontology Learning. - Chuanxi Li; Rujing Wang; Peng Chen 001; He Huang; Yaru Su (J. Comput. Biol., 2014)

Collaborative object tracking model with local sparse representation. - Chengjun Xie; Jieqing Tan; Peng Chen 001; Jie Zhang 033; Lei He 002 (J. Vis. Commun. Image Represent., 2014)

Multi-scale patch-based sparse appearance model for robust object tracking. - Chengjun Xie; Jieqing Tan; Peng Chen 001; Jie Zhang 033; Lei He 002 (Mach. Vis. Appl., 2014)

Compound Identification Using Random Projection for Gas Chromatography-Mass Spectrometry Data. - Li-Li Cao; Zhi-Shui Zhang; Peng Chen 001; Jun Zhang 011 (ICIC (3), 2015)

Sequence-Based Random Projection Ensemble Approach to Identify Hotspot Residues from Whole Protein Sequence. - Peng Chen 001; ShanShan Hu; Bing Wang 004; Jun Zhang 011 (ICIC (2), 2015)

A Random Projection Ensemble Approach to Drug-Target Interaction Prediction. - Peng Chen 001; ShanShan Hu; Bing Wang 004; Jun Zhang 011 (ICIC (3), 2015)

A Multi-feature Fusion Method for Automatic Multi-label Image Annotation with Weighted Histogram Integral and Closure Regions Counting. - Sen Xia; Peng Chen 001; Jun Zhang 011; Xiaoping Li; Bing Wang 004 (ICIC (3), 2015)

Prediction of Molecular Substructure Using Mass Spectral Data Based on Deep Learning. - Zhi-Shui Zhang; Li-Li Cao; Jun Zhang 011; Peng Chen 001; Chun-Hou Zheng 001 (ICIC (2), 2015)

A hierarchical model for identifying mild cognitive impairment. - Bing Wang 004; Liyan Du; Jun Zhang 011; Peng Chen 001 (ICNC, 2015)

Automatic classification for field crop insects via multiple-task sparse representation and multiple-kernel learning. - Chengjun Xie; Jie Zhang 033; Rui Li 027; Jinyan Li 001; Peilin Hong; Junfeng Xia; Peng Chen 001 (Comput. Electron. Agric., 2015)

Prediction of Hot Spots Based on Physicochemical Features and Relative Accessible Surface Area of Amino Acid Sequence. - ShanShan Hu; Peng Chen 001; Jun Zhang 011; Bing Wang 004 (ICIC (1), 2016)

Accurate Prediction of Protein Hot Spots Residues Based on Gentle AdaBoost Algorithm. - Zhen Sun; Jun Zhang 011; Chun-Hou Zheng 001; Bing Wang 004; Peng Chen 001 (ICIC (1), 2016)

Inferring Disease-Related Domain Using Network-Based Method. - Zhongwen Zhang; Peng Chen 001; Jun Zhang 011; Bing Wang 004 (ICIC (1), 2016)

A Feature Selection Scheme for Accurate Identification of Alzheimer's Disease. - Hao Shen; Wen Zhang; Peng Chen 001; Jun Zhang 011; Aiqin Fang; Bing Wang 004 (IWBBIO, 2016)

Combine multiple mass spectral similarity measures for compound identification. - Jun Zhang 011; Yi Xia; Chun-Hou Zheng 001; Bing Wang 004; Xiang Zhang 003; Peng Chen 001 (Int. J. Data Min. Bioinform., 2016)

A Sequence-Based Dynamic Ensemble Learning System for Protein Ligand-Binding Site Prediction. - Peng Chen 001; ShanShan Hu; Jun Zhang 011; Xin Gao 001; Jinyan Li 001; Junfeng Xia; Bing Wang 004 (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

CAPTCHA Recognition Based on Faster R-CNN. - Feng-Lin Du; Jia-Xing Li; Zhi Yang; Peng Chen 001; Bing Wang 004; Jun Zhang 011 (ICIC (2), 2017)

A Machine Vision Method for Automatic Circular Parts Detection Based on Optimization Algorithm. - Wenyan Wang; Kun Lu 007; Rui Hong; Peng Chen 001; Jun Zhang 011; Bing Wang 004 (ICIC (1), 2017)

Utilization of rotation-invariant uniform LBP histogram distribution and statistics of connected regions in automatic image annotation based on multi-label learning. - Sen Xia; Peng Chen 001; Jun Zhang 011; Xiaoping Li; Bing Wang 004 (Neurocomputing, 2017)

DrugRPE: Random projection ensemble approach to drug-target interaction prediction. - Jun Zhang 011; Muchun Zhu; Peng Chen 001; Bing Wang 004 (Neurocomputing, 2017)

Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography. - Jun Zhang 011; Chun-Hou Zheng 001; Yi Xia; Bing Wang 004; Peng Chen 001 (Neurocomputing, 2017)

Robust object tracking via multi-scale patch based sparse coding histogram. - Zhongpei Wang; Hao Wang 008; Jieqing Tan; Peng Chen 001; Chengjun Xie (Multim. Tools Appl., 2017)

Similarity-Based Integrated Method for Predicting Drug-Disease Interactions. - Yan-Zhe Di; Peng Chen 001; Chun-Hou Zheng 001 (ICIC (2), 2018)

Chinese Text Detection Using Deep Learning Model and Synthetic Data. - Wei-wei Gao; Jun Zhang 011; Peng Chen 001; Bing Wang 004; Yi Xia (ICIC (1), 2018)

Convolutional Neural Network for Short Term Fog Forecasting Based on Meteorological Elements. - Ting-Ting Han; Kai-Chao Miao; Ye-Qing Yao; Cheng-Xiao Liu; Jian-Ping Zhou; Hui Lu; Peng Chen 001; Xia Yi; Bing Wang 004; Jun Zhang 011 (ICIC (3), 2018)

Using Novel Convolutional Neural Networks Architecture to Predict Drug-Target Interactions. - ShanShan Hu; DeNan Xia; Peng Chen 001; Bing Wang 004 (ICIC (2), 2018)

Prediction of Protein-Protein Interaction Sites Combing Sequence Profile and Hydrophobic Information. - Lili Peng; Fang Chen; Nian Zhou; Peng Chen 001; Jun Zhang 011; Bing Wang 004 (ICIC (1), 2018)

Cells Counting with Convolutional Neural Network. - Run-xu Tan; Jun Zhang 011; Peng Chen 001; Bing Wang 004; Yi Xia (ICIC (3), 2018)

Prediction of Crop Pests and Diseases in Cotton by Long Short Term Memory Network. - Qingxin Xiao; Weilu Li; Peng Chen 001; Bing Wang 004 (ICIC (2), 2018)

Deep Convolutional Neural Network for Fog Detection. - Jun Zhang 011; Hui Lu; Yi Xia; Ting-Ting Han; Kai-Chao Miao; Ye-Qing Yao; Cheng-Xiao Liu; Jian-Ping Zhou; Peng Chen 001; Bing Wang 004 (ICIC (2), 2018)

Verifying TCM Syndrome Hypothesis Based on Improved Latent Tree Model. - Nian Zhou; Lingshan Zhou; Lili Peng; Bing Wang 004; Peng Chen 001; Jun Zhang 011 (ICIC (2), 2018)

A new soft assignment K-means algorithm. - Peng Chen 001; Yongmei Chen; Beibei Jin (ICMLSC, 2018)

dbMPIKT: a database of kinetic and thermodynamic mutant protein interactions. - Quanya Liu; Peng Chen 001; Bing Wang 004; Jun Zhang 011; Jinyan Li 001 (BMC Bioinform., 2018)

Protein-protein interface hot spots prediction based on a hybrid feature selection strategy. - Yanhua Qiao; Yi Xiong 002; Hongyun Gao; Xiaolei Zhu 001; Peng Chen 001 (BMC Bioinform., 2018)

Hot spot prediction in protein-protein interactions by an ensemble system. - Quanya Liu; Peng Chen 001; Bing Wang 004; Jun Zhang 011; Jinyan Li 001 (BMC Syst. Biol., 2018)

Multi-level learning features for automatic classification of field crop pests. - Chengjun Xie; Rujing Wang; Jie Zhang 033; Peng Chen 001; Wei Dong; Rui Li 027; Tianjiao Chen; Hongbo Chen (Comput. Electron. Agric., 2018)

Insect Detection and Classification Based on an Improved Convolutional Neural Network. - DeNan Xia; Peng Chen 001; Bing Wang 004; Jun Zhang 011; Chengjun Xie (Sensors, 2018)

Identification of Apple Leaf Diseases Based on Convolutional Neural Network. - Tao Fang; Peng Chen 001; Jun Zhang 011; Bing Wang 004 (ICIC (1), 2019)

Identification of Apple Tree Trunk Diseases Based on Improved Convolutional Neural Network with Fused Loss Functions. - Jie Hang; Dexiang Zhang; Peng Chen 001; Jun Zhang 011; Bing Wang 004 (ICIC (1), 2019)

Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model. - Panpan Lu; Kun Lu 007; Wenyan Wang; Jun Zhang 011; Peng Chen 001; Bing Wang 004 (ICIC (2), 2019)

An Optimization Regression Model for Predicting Average Temperature of Core Dead Stock Column. - Guangyu Wang; Bing Dai; Wenyan Wang; Hongming Long; Jun Zhang 011; Peng Chen 001; Bing Wang 004 (ICIC (3), 2019)

Ranking Research Institutions Based on the Combination of Individual and Network Features. - Wenyan Wang; Guangyu Wang; Jun Zhang 011; Peng Chen 001; Bing Wang 004 (ICIC (3), 2019)

Urine Sediment Detection Based on Deep Learning. - Xiao-Tao Xu; Jun Zhang 011; Peng Chen 001; Bing Wang 004; Yi Xia (ICIC (1), 2019)

Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks. - ShanShan Hu; Chenglin Zhang; Peng Chen 001; Pengying Gu; Jun Zhang 011; Bing Wang 004 (BMC Bioinform., 2019)

Semi-supervised prediction of protein interaction sites from unlabeled sample information. - Ye Wang; Changqing Mei; Yuming Zhou; Yan Wang; Chunhou Zheng 001; Xiao Zhen; Yan Xiong 001; Peng Chen 001; Jun Zhang 011; Bing Wang 004 (BMC Bioinform., 2019)

Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network. - Qingxin Xiao; Weilu Li; Yuanzhong Kai; Peng Chen 001; Jun Zhang 011; Bing Wang 004 (BMC Bioinform., 2019)

dbHDPLS: A database of human disease-related protein-ligand structures. - Muchun Zhu; Xiaoping Song; Peng Chen 001; Wenyan Wang; Bing Wang 004 (Comput. Biol. Chem., 2019)

Deep spatial attention hashing network for image retrieval. - Lin-Wei Ge; Jun Zhang 011; Yi Xia; Peng Chen 001; Bing Wang 004; Chun-Hou Zheng 001 (J. Vis. Commun. Image Represent., 2019)

Classification of Plant Leaf Diseases Based on Improved Convolutional Neural Network. - Jie Hang; Dexiang Zhang; Peng Chen 001; Jun Zhang 011; Bing Wang 004 (Sensors, 2019)

Discrete Haze Level Dehazing Network. - Xiaofeng Cong; Jie Gui; Kai-Chao Miao; Jun Zhang 011; Bing Wang 004; Peng Chen 001 (ACM Multimedia, 2020)

Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation. - Peng Chen 001; Qingxin Xiao; Jun Zhang 011; Chengjun Xie; Bing Wang 004 (Comput. Electron. Agric., 2020)

Application of LSTM for short term fog forecasting based on meteorological elements. - Kai-Chao Miao; Ting-Ting Han; Ye-Qing Yao; Hui Lu; Peng Chen 001; Bing Wang 004; Jun Zhang 011 (Neurocomputing, 2020)

Crop leaf disease grade identification based on an improved convolutional neural network. - Tao Fang; Peng Chen 001; Jun Zhang 011; Bing Wang 004 (J. Electronic Imaging, 2020)

Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network. - Qian Yan; Baohua Yang; Wenyan Wang; Bing Wang 004; Peng Chen 001; Jun Zhang 011 (Sensors, 2020)

A Deep Learning-Based Chemical System for QSAR Prediction. - ShanShan Hu; Peng Chen 001; Pengying Gu; Bing Wang 004 (IEEE J. Biomed. Health Informatics, 2020)

S-RPN: Sampling-balanced region proposal network for small crop pest detection. - Rujing Wang; Lin Jiao; Chengjun Xie; Peng Chen 001; Jianming Du; Rui Li 027 (Comput. Electron. Agric., 2021)

Recognition and counting of wheat mites in wheat fields by a three-step deep learning method. - Peng Chen 001; Weilu Li; Sijie Yao; Chun Ma; Jun Zhang 011; Bing Wang 004; Chunhou Zheng 001; Chengjun Xie; Dong Liang (Neurocomputing, 2021)

Automatic estimation of road visibility in foggy weather based on image feature statistics. - Qianqian Wang; Jun Zhang 011; Peng Chen 001; Bing Wang 004 (J. Electronic Imaging, 2021)

Paper acceptance prediction at the institutional level based on the combination of individual and network features. - Wenyan Wang; Jun Zhang 011; Fang Zhou; Peng Chen 001; Bing Wang 004 (Scientometrics, 2021)

A Convolutional Neural Network System to Discriminate Drug-Target Interactions. - ShanShan Hu; DeNan Xia; Benyue Su; Peng Chen 001; Bing Wang 004; Jin-Yan Li 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Imbalance Data Processing Strategy for Protein Interaction Sites Prediction. - Bing Wang 004; Changqing Mei; Yuanyuan Wang; Yuming Zhou; Mu-Tian Cheng; Chunhou Zheng 001; Lei Wang 069; Jun Zhang 011; Peng Chen 001; Yan Xiong 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis. - Wenyan Wang; Yuming Zhou; Mu-Tian Cheng; Yan Wang; Chun-Hou Zheng 001; Yan Xiong 001; Peng Chen 001; Zhiwei Ji; Bing Wang 004 (IEEE ACM Trans. Comput. Biol. Bioinform., 2021)

COVID-19 Classification from Chest X-rays Based on Attention and Knowledge Distillation. - Jiaxing Lv; Fazhan Zhu; Kun Lu 007; Wenyan Wang; Jun Zhang 011; Peng Chen 001; Yuan Zhao; Ziheng Wu (ICIC (1), 2022)

A Sub-network Aggregation Neural Network for Non-invasive Blood Pressure Prediction. - Xinghui Zhang; Chunhou Zheng 001; Peng Chen 001; Jun Zhang 011; Bing Wang 004 (ICIC (1), 2022)

A 3D Medical Image Segmentation Framework Fusing Convolution and Transformer Features. - Fazhan Zhu; Jiaxing Lv; Kun Lu 007; Wenyan Wang; Hongshou Cong; Jun Zhang 011; Peng Chen 001; Yuan Zhao; Ziheng Wu (ICIC (1), 2022)

Adaptive feature fusion pyramid network for multi-classes agricultural pest detection. - Lin Jiao; Chengjun Xie; Peng Chen 001; Jianming Du; Rui Li 027; Jie Zhang 033 (Comput. Electron. Agric., 2022)

Protein-Protein Interaction Sites Prediction Based on an Under-Sampling Strategy and Random Forest Algorithm. - Minjie Li; Ziheng Wu; Wenyan Wang; Kun Lu 007; Jun Zhang 011; Yuming Zhou; Zhaoquan Chen; Dan Li 025; Shicheng Zheng; Peng Chen 001; Bing Wang 004 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

A Real-Time Steel Surface Defect Detection Approach With High Accuracy. - Wenyan Wang; Chunfeng Mi; Ziheng Wu; Kun Lu 007; Hongming Long; Baigen Pan; Dan Li 025; Jun Zhang 011; Peng Chen 001; Bing Wang 004 (IEEE Trans. Instrum. Meas., 2022)

Transformer Model for Functional Near-Infrared Spectroscopy Classification. - Zenghui Wang 009; Jun Zhang 011; Xiaochu Zhang; Peng Chen 001; Bing Wang 004 (IEEE J. Biomed. Health Informatics, 2022)

Collaborative Encoder for Accurate Inversion of Real Face Image. - YaTe Liu; Chun-Hou Zheng 001; Jun Zhang 011; Bing Wang 004; Peng Chen 001 (ICIC (2), 2023)

Multiple Classification Network of Concrete Defects Based on Improved EfficientNetV2. - Jiawei Ni; Kun Lu 007; Jun Zhang 011; Peng Chen 001; Lejun Pan; Chenlin Zhu; Bing Wang 004; Wenyan Wang (ICIC (2), 2023)

Improved Deep Learning-Based Efficientpose Algorithm for Egocentric Marker-Less Tool and Hand Pose Estimation in Manual Assembly. - Zihan Niu; Yi Xia; Jun Zhang 011; Bing Wang 004; Peng Chen 001 (ICIC (5), 2023)

Efficient and Precise Detection of Surface Defects on PCBs: A YOLO Based Approach. - Lejun Pan; Wenyan Wang; Kun Lu 007; Jun Zhang 011; Peng Chen 001; Jiawei Ni; Chenlin Zhu; Bing Wang 004 (ICIC (2), 2023)

Improved YOLOv5s Method for Nut Detection on Ultra High Voltage Power Towers. - Lang Xu; Yi Xia; Jun Zhang 011; Bing Wang 004; Peng Chen 001 (ICIC (5), 2023)

Corneal Ulcer Automatic Classification Network Based on Improved Mobile ViT. - Chenlin Zhu; Wenyan Wang; Kun Lu 007; Jun Zhang 011; Peng Chen 001; Lejun Pan; Jiawei Ni; Bing Wang 004 (ICIC (2), 2023)

A dual-stream deep neural network integrated with adaptive boosting for sleep staging. - Yongkangjian Fang; Yi Xia; Peng Chen 001; Jun Zhang 011; Yongliang Zhang (Biomed. Signal Process. Control., 2023)

Generative adversarial network with transformer generator for boosting ECG classification. - Yi Xia; Yangyang Xu; Peng Chen 001; Jun Zhang 011; Yongliang Zhang (Biomed. Signal Process. Control., 2023)

Controllable face image editing in a disentanglement way. - Shiyan Zhou; Ke Wang; Jun Zhang 011; Yi Xia; Peng Chen 001; Bing Wang 004 (J. Electronic Imaging, 2023)

SGNet: Sequence-Based Convolution and Ligand Graph Network for Protein Binding Affinity Prediction. - Peng Chen 001; Huimin Shen; Youzhi Zhang 004; Bing Wang 004; Pengying Gu (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection. - Xin Xiang; Zenghui Wang 009; Jun Zhang 011; Yi Xia; Peng Chen 001; Bing Wang 004 (IEEE Trans. Instrum. Meas., 2023)

An attention-based feature pyramid network for single-stage small object detection. - Lin Jiao; Chenrui Kang; Shifeng Dong; Peng Chen 001; Gaoqiang Li; Rujing Wang (Multim. Tools Appl., 2023)

Spatial convolutional self-attention-based transformer module for strawberry disease identification under complex background. - Gaoqiang Li; Lin Jiao; Peng Chen 001; Kang Liu; Rujing Wang; Shifeng Dong; Chenrui Kang (Comput. Electron. Agric., 2023)

IGDACA: Imaging Genomics of Deep Autoencoder Cascade Attention Fusion Networks for Cervical Cancer Prognosis Prediction. - Tianjin Dai; Peng Chen 001; Jun Zhang 011; Bing Wang 004 (ICIC (LNBI 2), 2024)

Local global information aggregation graph convolution for skeleton-based action recognition. - Shichong Xie; Shengze Li; Peng Chen 001; Bing Wang 004; Jun Zhang 011 (Neurocomputing, 2025)

An Anchor-Free Refining Feature Pyramid Network for Dense and Multioriented Wheat Spikes Detection Under UAV. - Lin Jiao; Haiyun Liu; Zheng Liang 001; Peng Chen 001; Rujing Wang; Kang Liu (IEEE Trans. Instrum. Meas., 2025)

Small object detection in UAV imagery based on channel-spatial fusion cross attention. - JianLong Li; Chunhou Zheng 001; Peng Chen 001; Jun Zhang 011; Bing Wang 004 (Signal Image Video Process., 2025)

Residual Movement Metrology Network and Transformer-Based Framework for Evaluating Movement Quality. - WeiQing Meng; Peng Chen 001; Jun Zhang 011; Yi Xia; Bing Wang 004 (Cogn. Comput., 2025)