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 Protein-Protein Interacting Sites by Combining SVM Algorithm with Bayesian Method. - Bing Wang 004; Lu-Sheng Ge; De-Shuang Huang; Hau-San Wong (ICNC (2), 2007)

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

Inferring Strengths of Protein-Protein Interaction Using Artificial Neural Network. - Junfeng Xia; Bing Wang 004; De-Shuang Huang (IJCNN, 2007)

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)

Prediction of peptide drift time in ion mobility-mass spectrometry. - Bing Wang 004; Steve Valentine; Sriram Raghuraman; Manolo Plasencia; Xiang Zhang 003 (BMC Bioinform., 2009)

Optimal Selection of Support Vector Regression Parameters and Molecular Descriptors for Retention Indices Prediction. - Jun Zhang 011; Bing Wang 004; Xiang Zhang 003 (ICIC (2), 2010)

Statistical analysis of multiple significance test methods for differential proteomics. - Bing Wang 004; Fahim Mohammad; Jun Zhang 011; Xinmin Yin; Eric C. Rouchka; Xiang Zhang 003 (BMC Bioinform., 2010)

Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry. - Bing Wang 004; Steve Valentine; Manolo Plasencia; Sriram Raghuraman; Xiang Zhang 003 (BMC Bioinform., 2010)

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

DISCO2: A Comprehensive Peak Alignment Algorithm for Two-Dimensional Gas Chromatography Time-of-Flight Mass Spectrometry. - Bing Wang 004; Aiqin Fang; Xue Shi; Seongho Kim; Xiang Zhang 003 (ICIC (3), 2011)

An optimal peak alignment for comprehensive two-dimensional gas chromatography mass spectrometry using mixture similarity measure. - Seongho Kim; Aiqin Fang; Bing Wang 004; Jaesik Jeong; Xiang Zhang 003 (Bioinform., 2011)

Dataset reconstruction for protein interface identification using manifold learning method. - Bing Wang 004; De-Shuang Huang (BIBM, 2013)

Disease-Related Gene Expression Analysis Using an Ensemble Statistical Test Method. - Bing Wang 004; Zhiwei Ji (ICIC (2), 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)

Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis. - Zhu-Hong You; Ying-Ke Lei; Lin Zhu 008; Junfeng Xia; Bing Wang 004 (BMC Bioinform., 2013)

The nearest-farthest subspace classification for face recognition. - Jian-Xun Mi; De-Shuang Huang; Bing Wang 004; Xingjie Zhu (Neurocomputing, 2013)

Predicting dynamic deformation of retaining structure by LSSVR-based time series method. - Zhiwei Ji; Bing Wang 004; Suping Deng; Zhuhong You (Neurocomputing, 2014)

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)

Identification of Mild Cognitive Impairment Using Extreme Learning Machines Model. - Wen Zhang; Hao Shen; Zhiwei Ji; Guanmin Meng; Bing Wang 004 (ICIC (2), 2015)

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

NMFBFS: A NMF-Based Feature Selection Method in Identifying Pivotal Clinical Symptoms of Hepatocellular Carcinoma. - Zhiwei Ji; Guanmin Meng; Deshuang Huang; Xiao-Qiang Yue; Bing Wang 004 (Comput. Math. Methods Medicine, 2015)

Identifying mild cognitive impairment conversion to Alzheimer's disease from medical image information. - Bing Wang 004; Rui Hong; Yanhui Xu; Fang Zhou; Peizhen Wang (ICCE-TW, 2016)

Classification of inertinite in coal macerical based on virtual sample. - Peizhen Wang; Rui Sun; Dailin Zhang; Fang Zhou; Bing Wang 004 (ICCE-TW, 2016)

An improved multilayer self-organizing background subtraction algorithm for microorganism detection in sewage. - Fang Zhou; Jun Liu; Bing Wang 004; Peizhen Wang (ICCE-TW, 2016)

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)

A linear programming computational framework integrates phosphor-proteomics and prior knowledge to predict drug efficacy. - Zhiwei Ji; Bing Wang 004; Ke Yan 001; Ligang Dong; Guanmin Meng; Lei Shi (BMC Syst. Biol., 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)

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)

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)

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)

A 3D neural network for moving microorganism extraction. - Fang Zhou; Tin-Yu Wu; Jun Liu; Bing Wang 004; Mohammad S. Obaidat (Neural Comput. Appl., 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)

A novel target convergence set based random walk with restart for prediction of potential LncRNA-disease associations. - Jiechen Li; Xueyong Li; Xiang Feng; Bing Wang 004; Bihai Zhao; Lei Wang 069 (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)

Evaluation of Aboveground Nitrogen Content of Winter Wheat Using Digital Imagery of Unmanned Aerial Vehicles. - Baohua Yang; Mengxuan Wang; Zhengxia Sha; Bing Wang 004; Jianlin Chen; Xia Yao; Tao Cheng 003; Weixing Cao; Yan Zhu 005 (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)

SRP-AKAZE: an improved accelerated KAZE algorithm based on sparse random projection. - Dan Li 025; Qiannan Xu; Wennian Yu; Bing Wang 004 (IET Comput. Vis., 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)

Estimation Method of Soluble Solid Content in Peach Based on Deep Features of Hyperspectral Imagery. - Baohua Yang; Yuan Gao; Qian Yan; Lin Qi; Yue Zhu 009; Bing Wang 004 (Sensors, 2020)

Cross-Category Tea Polyphenols Evaluation Model Based on Feature Fusion of Electronic Nose and Hyperspectral Imagery. - Baohua Yang; Lin Qi; Mengxuan Wang; Saddam Hussain; Huabin Wang; Bing Wang 004; Jingming Ning (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)

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)

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 multi-omics machine learning framework in predicting the survival of colorectal cancer patients. - Min Yang; Huandong Yang; Lei Ji 006; Xuan Hu; Geng Tian; Bing Wang 004; Jialiang Yang (Comput. Biol. Medicine, 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)

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)

Multi-label Classification for Concrete Defects Based on EfficientNetV2. - Anan Che; Cheng Wang; Kun Lu 007; Tao Tao; Wenyan Wang; Bing Wang 004 (ICIC (4), 2024)

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)

Unveiling the distinctive variations in multi-omics triggered by TP53 mutation in lung cancer subtypes: An insight from interaction among intratumoral microbiota, tumor microenvironment, and pathology. - Shanhe Tong; Kenan Huang; Weipeng Xing; Yuwen Chu; Chuanqi Nie; Lei Ji 006; Wenyan Wang; Geng Tian; Bing Wang 004; Jialiang Yang (Comput. Biol. Chem., 2024)

MIMCL: Multilayer Interaction Module with Contrastive Learning for Speech Emotion Recognition. - Feng Li; Rongsheng Liu; Bing Wang 004 (ICMR, 2025)

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)

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)