Study of Adaptive Equalizers Based on Two Weighted Neural Networks. - Wenming Cao 001; Shoujue Wang (CIT, 2004)

Hardware Design of Two Weighted Neural Network and Application for Object Recognition. - Wenming Cao 001; Fei Lu 003; Gang Xiao 001; Shoujue Wang (IIP, 2004)

Face Recognition Technique Based on Modular ICA Approach. - Wenming Cao 001; Fei Lu 003; Yuan Yuan; Shoujue Wang (IIP, 2004)

Determining of the Delay Time for a Heating Ventilating and Air-Conditioning Plant Using Two Weighted Neural Network Approach. - Mengdi Hu; Wenming Cao 001; Shoujue Wang (ISNN (2), 2004)

The application of DBF neural networks for object recognition. - Wenming Cao 001; Hao Feng; Shoujue Wang (Inf. Sci., 2004)

Digits Speech Recognition Based on Geometrical Learning. - Wenming Cao 001; Xiaoxia Pan; Shoujue Wang; Jing Hu (ADMA, 2005)

Channel Equalization Based on Two Weights Neural Network. - Wenming Cao 001; Wanfang Chai; Shoujue Wang (CIS (2), 2005)

Continuous Speech Research Based on HyperSausage Neuron. - Wenming Cao 001; Jianqing Li; Shoujue Wang (CIS (2), 2005)

Application of Two Synaptic Weight Neural Networks for Nonlinear Control. - Wenming Cao 001; Shoujue Wang (ICITA (2), 2005)

Continuous Speech Recognition Based on ICA and Geometrical Learning. - Hao Feng; Wenming Cao 001; Shoujue Wang (ICMLC, 2005)

A Kind of Continuous Digit Speech Recognition Method. - Wenming Cao 001 (AIAI, 2005)

Iris Recognition Algorithm Based on Complex Geometrical Shape Cover. - Hao Feng; Wenming Cao 001; Shoujue Wang (AIAI, 2005)

Determining of the Delay Time for a Heating Ventilating and Air-Conditioning Plant Using Multi-Weights Neurons Approach. - Mengdi Hu; Hao Feng; Wenming Cao 001; Shoujue Wang (AIAI, 2005)

Application of Multi-weighted Neuron for Iris Recognition. - Wenming Cao 001; Jianhui Hu; Gang Xiao 001; Shoujue Wang (ISNN (2), 2005)

Continuous Speech Research Based on Two-Weight Neural Network. - Wenming Cao 001; Xiaoxia Pan; Shoujue Wang (ISNN (2), 2005)

Iris Recognition Algorithm Based on Point Covering of High-Dimensional Space and Neural Network. - Wenming Cao 001; Jianhui Hu; Gang Xiao 001; Shoujue Wang (MLDM, 2005)

Face Recognition Using Topological Manifolds Learning. - Wenming Cao 001; Fei Lu 003 (PReMI, 2005)

Similarity Index for Clustering DNA Microarray Data Based on Multi-weighted Neuron. - Wenming Cao 001 (RSFDGrC (2), 2005)

Text-continuous speech recognition based on ICA and geometrical learning. - Wenming Cao 001; Tiancheng He; Shoujue Wang (GrC, 2006)

Priority ordered direction basis function neural networks and the application for object recognition. - Wenming Cao 001; Fei Lu 003; Shoujue Wang (GrC, 2006)

A Novel Image Restoration Algorithm Based on High-Dimensional Space Geometry. - Wenming Cao 001; Mei-fen Xie; Shoujue Wang (ICCSA (5), 2006)

Research on Multi-Degree-of-Freedom Neurons with Weighted Graphs. - Shoujue Wang; Singsing Liu; Wenming Cao 001 (ISNN (1), 2006)

Analysis of Higher Order Voronoi Diagram for Fuzzy Information Coverage. - Weixin Xie; Rui Wang 034; Wenming Cao 001 (MSN, 2007)

Cloud model-based coverage for sensor networks. - Wenming Cao 001; Rui Wang 034; Yanshan Li; Weixin Xie (ROBIO, 2007)

Universal information coverage for bandwidth-constrained sensor networks. - Rui Wang 034; Wenming Cao 001 (ROBIO, 2007)

Coverage in Biomimetic Pattern Recognition. - Wenming Cao 001; Guoliang Zhao (RSFDGrC, 2007)

Bimimetic Pattern Recognition for Multispectral Image. - Wenming Cao 001; Tiancheng He; Shoujue Wang (ICNC (6), 2008)

Barrier Coverage of Wireless Sensor Networks Based on Clifford Algebra. - Wenming Cao 001; Tiancheng He (ISCSCT (2), 2008)

Coverage analysis for sensor networks based on Clifford algebra. - Weixin Xie; Wenming Cao 001; Shan Meng (Sci. China Ser. F Inf. Sci., 2008)

Space Target Recognition Based on Biomimetic Pattern Recognition. - Wenming Cao 001; Hao Feng; Lili Hu; Tiancheng He (DBTA, 2009)

Geometry Algebra Neuron Based on Biomimetic Pattern Recognition. - Wenming Cao 001; Feng Hao (ISNN (4), 2009)

Target Detection in Three-Dimension Sensor Networks Based on Clifford Algebra. - Tiancheng He; Weixin Xie; Wenming Cao 001 (Wirel. Sens. Netw., 2009)

The Multispectral Image Edge Detection Based on Clifford Gradient. - Hui Liu; Chen Xu 004; Wenming Cao 001 (CIS, 2011)

Location Discovery Based on Fuzzy Geometry in Passive Sensor Networks. - Rui Wang 034; Wenming Cao 001; Wanggen Wan (Int. J. Digit. Multim. Broadcast., 2011)

Multispectral image edge detection via Clifford gradient. - Chen Xu 004; Hui Liu; Wenming Cao 001; Jiqiang Feng (Sci. China Inf. Sci., 2012)

Content-based image retrieval using high-dimensional information geometry. - Wenming Cao 001; Ning Liu; Qicong Kong; Hao Feng (Sci. China Inf. Sci., 2014)

Facial expression recognition based on LLENet. - Dan Meng 001; Guitao Cao; Zhihai He; Wenming Cao 001 (BIBM, 2016)

Automated human physical function measurement using constrained high dispersal network with SVM-linear. - Dan Meng 001; Guitao Cao; Xinyu Song; Weiting Chen; Wenming Cao 001 (BIBM, 2016)

Automatic fall detection of human in video using combination of features. - Kun Wang; Guitao Cao; Dan Meng 001; Weiting Chen; Wenming Cao 001 (BIBM, 2016)

Fuzzy Quadrature Particle Filter for Maneuvering Target Tracking. - Liang-qun Li; Chun-lan Li; Wen-ming Cao 001; Zong-Xiang Liu (Int. J. Fuzzy Syst., 2016)

Constellational contour parsing for deformable object detection. - Chen Huang; Tony X. Han; Zhihai He; Wenming Cao 001 (J. Vis. Commun. Image Represent., 2016)

Task-Driven Progressive Part Localization for Fine-Grained Object Recognition. - Chen Huang; Zhihai He; Guitao Cao; Wenming Cao 001 (IEEE Trans. Multim., 2016)

Animal Detection From Highly Cluttered Natural Scenes Using Spatiotemporal Object Region Proposals and Patch Verification. - Zhi Zhang 005; Zhihai He; Guitao Cao; Wenming Cao 001 (IEEE Trans. Multim., 2016)

Action recognition based on depth image sequence. - Liangcan Liao; Guitao Cao; Wenming Cao 001 (BIBM, 2017)

Liver Fibrosis Classification Based on Transfer Learning and FCNet for Ultrasound Images. - Dan Meng 001; Libo Zhang 001; Guitao Cao; Wenming Cao 001; Guixu Zhang; Bing Hu 004 (IEEE Access, 2017)

An artificial bee colony algorithm for multi-objective optimisation. - Jianping Luo; Qiqi Liu; Yun Yang; Xia Li 006; Min-Rong Chen; Wenming Cao 001 (Appl. Soft Comput., 2017)

Vehicle recognition in acoustic sensor networks using multiple kernel sparse representation over learned dictionaries. - Rui Wang 034; Wenming Cao 001; Zhihai He (Int. J. Distributed Sens. Networks, 2017)

Sparse fast Clifford Fourier transform. - Rui Wang 034; Yi-xuan Zhou; Yanliang Jin; Wen-ming Cao 001 (Frontiers Inf. Technol. Electron. Eng., 2017)

3D Convolutional Neural Networks Fusion Model for Lung Nodule Detection onClinical CT Scans. - Guitao Cao; Tiantian Huang; Kai Hou; Wenming Cao 001; Peng Liu; Jiawei Zhang (BIBM, 2018)

Sparse Representation for Color Image Based on Geometric Algebra. - Rui Wang 034; Yujie Wu; Miaomiao Shen; Wenming Cao 001 (ICME, 2018)

Physiological Function Assessment Based on RGB-D Camera. - Wenming Cao 001; Jianqi Zhong; Guitao Cao; Zhiquan He (ICME Workshops, 2018)

Supplementary Virtual Keypoints of Weight-Based Correspondences for Occluded Object Tracking. - Wenming Cao 001; Yuhong Li; Zhihai He; Guitao Cao; Zhiquan He (IEEE Access, 2018)

Multimodal Medical Image Registration Based on Feature Spheres in Geometric Algebra. - Wenming Cao 001; Fangfang Lyu; Zhihai He; Guitao Cao; Zhiquan He (IEEE Access, 2018)

Fast Deep Neural Networks With Knowledge Guided Training and Predicted Regions of Interests for Real-Time Video Object Detection. - Wenming Cao 001; Jianhe Yuan; Zhihai He; Zhi Zhang 005; Zhiquan He (IEEE Access, 2018)

Joint Sparse Representation Model for Multi-Channel Image Based on Reduced Geometric Algebra. - Miaomiao Shen; Rui Wang 034; Wenming Cao 001 (IEEE Access, 2018)

GA-STIP: Action Recognition in Multi-Channel Videos With Geometric Algebra Based Spatio-Temporal Interest Points. - Rui Wang 034; Zhongzheng Cao; Xiangyang Wang 003; Weici Xue; Wenming Cao 001 (IEEE Access, 2018)

Multi-task hybrid dictionary learning for vehicle classification in sensor networks. - Rui Wang 034; Miaomiao Shen; Tao Wang 002; Wenming Cao 001 (Int. J. Distributed Sens. Networks, 2018)

Real-Time Moving Object Segmentation and Classification From HEVC Compressed Surveillance Video. - Liang Zhao 007; Zhihai He; Wenming Cao 001; Debin Zhao (IEEE Trans. Circuits Syst. Video Technol., 2018)

Emotion Recognition from Children Speech Signals Using Attention Based Time Series Deep Learning. - Guitao Cao; Yunming Tang; Jiyu Sheng; Wenming Cao 001 (BIBM, 2019)

Stacking-based deep neural network for Facial Expression Recognition. - Yan Li 063; Guitao Cao; Wenming Cao 001 (BIBM, 2019)

Geometric Algebra Representation and Ensemble Action Classification Method for 3D Skeleton Orientation Data. - Wenming Cao 001; Yitao Lu; Zhiquan He (IEEE Access, 2019)

Weighted Optical Flow Prediction and Attention Model for Object Tracking. - Wenming Cao 001; Yuhong Li; Zhiquan He (IEEE Access, 2019)

Physiological Function Assessment Based on Kinect V2. - Wenming Cao 001; Jianqi Zhong; Guitao Cao; Zhiquan He (IEEE Access, 2019)

An Extended Multilayer Perceptron Model Using Reduced Geometric Algebra. - Yanping Li; Wenming Cao 001 (IEEE Access, 2019)

A Novel Least-Mean Kurtosis Adaptive Filtering Algorithm Based on Geometric Algebra. - Rui Wang 034; Yinmei He; Chenyang Huang 002; Xiangyang Wang 003; Wenming Cao 001 (IEEE Access, 2019)

Multivector Sparse Representation for Multispectral Images Using Geometric Algebra. - Rui Wang 034; Miaomiao Shen; Wenming Cao 001 (IEEE Access, 2019)

Geometric Algebra in Signal and Image Processing: A Survey. - Rui Wang 034; Kaili Wang; Wenming Cao 001; Xiangyang Wang 003 (IEEE Access, 2019)

GA-ORB: A New Efficient Feature Extraction Algorithm for Multispectral Images Based on Geometric Algebra. - Rui Wang 034; Weigang Zhang; Yijie Shi; Xiangyang Wang 003; Wenming Cao 001 (IEEE Access, 2019)

Hybrid representation learning for cross-modal retrieval. - Wenming Cao 001; Qiubin Lin; Zhihai He; Zhiquan He (Neurocomputing, 2019)

GA-SURF: A new Speeded-Up robust feature extraction algorithm for multispectral images based on geometric algebra. - Rui Wang 034; Yijie Shi; Wenming Cao 001 (Pattern Recognit. Lett., 2019)

A Dynamic Group Equivariant Convolutional Networks for Medical Image Analysis. - Yan Li 063; Guitao Cao; Wenming Cao 001 (BIBM, 2020)

Theory and Performance Analysis of Geometric Algebra Based Singular Value Decomposition. - Yanping Li; Wenming Cao 001 (ICCPR, 2020)

A Review of Hashing Methods for Multimodal Retrieval. - Wenming Cao 001; Wenshuo Feng; Qiubin Lin; Guitao Cao; Zhihai He (IEEE Access, 2020)

Review of Pavement Defect Detection Methods. - Wenming Cao 001; Qifan Liu; Zhiquan He (IEEE Access, 2020)

A Comprehensive Review of Computer-Aided Diagnosis of Pulmonary Nodules Based on Computed Tomography Scans. - Wenming Cao 001; Rui Wu 014; Guitao Cao; Zhihai He (IEEE Access, 2020)

A Comprehensive Survey on Geometric Deep Learning. - Wenming Cao 001; Zhiyue Yan; Zhiquan He; Zhihai He (IEEE Access, 2020)

LMDAPNet: A Novel Manifold-Based Deep Learning Network. - Yan Li 063; Guitao Cao; Wenming Cao 001 (IEEE Access, 2020)

A Normalized Adaptive Filtering Algorithm Based on Geometric Algebra. - Rui Wang 034; Meixiang Liang; Yinmei He; Xiangyang Wang 003; Wenming Cao 001 (IEEE Access, 2020)

Pedestrian Motion Trajectory Prediction With Stereo-Based 3D Deep Pose Estimation and Trajectory Learning. - Jianqi Zhong; Hao Sun 024; Wenming Cao 001; Zhihai He (IEEE Access, 2020)

Semantic deep cross-modal hashing. - Qiubin Lin; Wenming Cao 001; Zhihai He; Zhiquan He (Neurocomputing, 2020)

DCFG: Discovering Directional CounterFactual Generation for Chest X-rays. - Yan Li 063; Shasha Liu; Chunwei Wu; Xidong Xi; Guitao Cao; Wenming Cao 001 (BIBM, 2021)

Video Super-Resolution Based on Spatial-Temporal Transformer. - Minyan Zheng; Jianping Luo; Wenming Cao 001 (CCIS, 2021)

Spatial Assembly Networks for Image Representation Learning. - Yang Li 091; Shichao Kan; Jianhe Yuan; Wenming Cao 001; Zhihai He (CVPR, 2021)

Sample Efficient Lung Segmentation Using Group Structured Conditional Variational Data Imputation. - Yan Li 063; Guitao Cao; Wenming Cao 001 (ICME, 2021)

Residual Proportion Multilayer Perceptron For Few-Shot Classification. - Qifan Liu; Zhineng Zhao; Wenming Cao 001; Zhiquan He (ICME Workshops, 2021)

Structure-Oriented Progressive Low-Rank Image Restoration for Defending Adversarial Attacks. - Zhiqun Zhao; Hengyou Wang; Hao Sun 024; Wenming Cao 001; Zhihai He (ICME, 2021)

Debiased Prototype Network for Adversarial Domain Adaptation. - Chunwei Wu; Guitao Cao; Wenming Cao 001; Hong Wang; He Ren (IJCNN, 2021)

RGA-CNNs: convolutional neural networks based on reduced geometric algebra. - Rui Wang 034; Miaomiao Shen; Xiangyang Wang 003; Wenming Cao 001 (Sci. China Inf. Sci., 2021)

Deformable adversarial registration network with multiple loss constraints. - Yi Luo; Wenming Cao 001; Zhiquan He; Wenlan Zou; Zhihai He (Comput. Medical Imaging Graph., 2021)

Social behavior prediction with graph U-Net+. - Zhiyue Yan; Wenming Cao 001; Jianhua Ji (Discov. Internet Things, 2021)

Hybrid high-order semantic graph representation learning for recommendations. - Canta Zheng; Wenming Cao 001 (Discov. Internet Things, 2021)

IAE-ClusterGAN: A new Inverse autoencoder for Generative Adversarial Attention Clustering network. - Chao Ling; Guitao Cao; Wenming Cao 001; Hong Wang; He Ren (Neurocomputing, 2021)

Progressive anatomically constrained deep neural network for 3D deformable medical image registration. - Zhiyuan Zheng; Wenming Cao 001; Zhiquan He; Yi Luo (Neurocomputing, 2021)

A cascaded registration network RCINet with segmentation mask. - Wenlan Zou; Yi Luo; Wenming Cao 001; Zhiquan He; Zhihai He (Neural Comput. Appl., 2021)

Geometric Algebra-Based ESPRIT Algorithm for DOA Estimation. - Rui Wang 034; Yue Wang; Yanping Li; Wenming Cao 001; Yi Yan (Sensors, 2021)

SEMPANet: A Modified Path Aggregation Network with Squeeze-Excitation for Scene Text Detection. - Shuangshuang Li; Wenming Cao 001 (Sensors, 2021)

Learned Model Composition With Critical Sample Look-Ahead for Semi-Supervised Learning on Small Sets of Labeled Samples. - Yang Li 091; Shichao Kan; Wenming Cao 001; Zhihai He (IEEE Trans. Circuits Syst. Video Technol., 2021)

Mask Cross-Modal Hashing Networks. - Qiubin Lin; Wenming Cao 001; Zhiquan He; Zhihai He (IEEE Trans. Multim., 2021)

Exploring Hierarchical Prototypes for Few-Shot Segmentation. - Yaozong Chen; Wenming Cao 001 (CICAI (1), 2022)

Feature Pyramid Vision Transformer for MedMNIST Classification Decathlon. - Jinwei Liu; Yan Li 063; Guitao Cao; Yong Liu; Wenming Cao 001 (IJCNN, 2022)

Adversarial Discriminative Feature Separation for Generalization in Reinforcement Learning. - Yong Liu; Chunwei Wu; Xidong Xi; Yan Li 063; Guitao Cao; Wenming Cao 001; Hong Wang (IJCNN, 2022)

PassAugment: Pass Nodes Importance in Graph Data Augmentation for Graph Classification. - Xiaohu Li; Yan Li 063; Shasha Liu; Guitao Cao; Wenming Cao 001 (SMC, 2022)

Geometric algebra graph neural network for cross-domain few-shot classification. - Qifan Liu; Wenming Cao 001 (Appl. Intell., 2022)

AHU-MultiNet: Adaptive loss balancing based on homoscedastic uncertainty in multi-task medical image segmentation network. - Shasha Liu; Hailing Wang; Yan Li 063; Xiaohu Li; Guitao Cao; Wenming Cao 001 (Comput. Biol. Medicine, 2022)

Geometric deep learning: progress, applications and challenges. - Wenming Cao 001; Canta Zheng; Zhiyue Yan; Weixin Xie (Sci. China Inf. Sci., 2022)

Level-wise aligned dual networks for text-video retrieval. - Qiubin Lin; Wenming Cao 001; Zhiquan He (EURASIP J. Adv. Signal Process., 2022)

Research on geometric algebra-based robust adaptive filtering algorithms in wireless communication systems. - Rui Wang 034; Yi Wang 063; Yanping Li; Wenming Cao 001 (EURASIP J. Wirel. Commun. Netw., 2022)

A dual attention model based on probabilistically mask for 3D human motion prediction. - Wenming Cao 001; Shuangshuang Li; Jianqi Zhong (Neurocomputing, 2022)

Multi-strategy mutual learning network for deformable medical image registration. - Zhiyuan Zheng; Wenming Cao 001; Ye Duan; Guitao Cao; Deliang Lian (Neurocomputing, 2022)

Implicit user relationships across sessions enhanced graph for session-based recommendation. - Wenming Cao 001; Yishan Liu; Guitao Cao; Zhiquan He (Inf. Sci., 2022)

Adaptive weight multi-channel center similar deep hashing. - Xinghua Liu; Guitao Cao; Qiubin Lin; Wenming Cao 001 (J. Vis. Commun. Image Represent., 2022)

Geometric machine learning: research and applications. - Wenming Cao 001; Canta Zheng; Zhiyue Yan; Zhihai He; Weixin Xie (Multim. Tools Appl., 2022)

Multi-level context-driven interaction modeling for human future trajectory prediction. - Zhiquan He; Hao Sun 024; Wenming Cao 001; Henry Z. He (Neural Comput. Appl., 2022)

Feature self-calibration network with global-local training strategy for multi-region deformable medical image registration. - Zhiyuan Zheng; Wenming Cao 001; Deliang Lian; Yi Luo (Neural Comput. Appl., 2022)

QMEDNet: A quaternion-based multi-order differential encoder-decoder model for 3D human motion prediction. - Wenming Cao 001; Shuangshuang Li; Jianqi Zhong (Neural Networks, 2022)

Self-guided information for few-shot classification. - Zhineng Zhao; Qifan Liu; Wenming Cao 001; Deliang Lian; Zhihai He (Pattern Recognit., 2022)

GA-CNN: Convolutional Neural Network Based on Geometric Algebra for Hyperspectral Image Classification. - Yanping Li; Yue Wang; Rui Wang 034; Yi Wang 063; Kaili Wang; Xiangyang Wang 003; Wenming Cao 001; Wei Xiang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

Class-Balanced Universal Perturbations for Adversarial Training. - Kexue Ma; Guitao Cao; Mengqian Xu; Chunwei Wu; Hong Wang; Wenming Cao 001 (IJCNN, 2023)

Chaos to Order: A Label Propagation Perspective on Source-Free Domain Adaptation. - Chunwei Wu; Guitao Cao; Yan Li 063; Xidong Xi; Wenming Cao 001; Hong Wang (ACM Multimedia, 2023)

Explore Across-Dimensional Feature Correlations for Few-Shot Learning. - Tianyuan Li; Wenming Cao 001 (PRCV (3), 2023)

Multi-scale Fusion Medical Image Registration with Segmentation Mask. - Fuyang Xing; Zhiyue Yan; Wenming Cao 001; Yubo Huang (RCVE, 2023)

Deformable image registration with attention-guided fusion of multi-scale deformation fields. - Zhiquan He; Yupeng He; Wenming Cao 001 (Appl. Intell., 2023)

When Source-Free Domain Adaptation Meets Label Propagation. - Chunwei Wu; Guitao Cao; Yan Li 063; Xidong Xi; Wenming Cao 001; Hong Wang (CoRR, 2023)

Multi-relation global context learning for session-based recommendation. - Yishan Liu; Wenming Cao 001; Guitao Cao (Data Technol. Appl., 2023)

Master-CAM: Multi-scale fusion guided by Master map for high-quality class activation maps. - Xuesheng Zhou; Yan Li 063; Guitao Cao; Wenming Cao 001 (Displays, 2023)

Editorial: Deep neural network based decision-making interpretability. - Guitao Cao; Ye Duan; Wenming Cao 001 (Frontiers Comput. Neurosci., 2023)

Expensive Multiobjective Optimization Based on Information Transfer Surrogate. - Jianping Luo; YongFei Dong; Zexuan Zhu; Wenming Cao 001; Xia Li 006 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Multi-layer noise reshaping and perceptual optimization for effective adversarial attack of images. - Zhiquan He; Xujia Lan; Jianhe Yuan; Wenming Cao 001 (Appl. Intell., 2023)

Dual-domain reciprocal learning design for few-shot image classification. - Qifan Liu; Yaozong Chen; Wenming Cao 001 (Neural Comput. Appl., 2023)

Visual-semantic consistency matching network for generalized zero-shot learning. - Zhenqi Zhang; Wenming Cao 001 (Neurocomputing, 2023)

Geometric algebra-based multiview interaction networks for 3D human motion prediction. - Jianqi Zhong; Wenming Cao 001 (Pattern Recognit., 2023)

Cycle optimization metric learning for few-shot classification. - Qifan Liu; Wenming Cao 001; Zhihai He (Pattern Recognit., 2023)

l0-norm based Short-term Sparse Portfolio Optimization Algorithm Based on Alternating Direction Method of Multipliers. - Hao Wang 075; Wanying Zhang; Yuxin He; Wenming Cao 001 (Signal Process., 2023)

PCFN: Progressive Cross-Modal Fusion Network for Human Pose Transfer. - Wei Yu; Yanping Li; Rui Wang 034; Wenming Cao 001; Wei Xiang 001 (IEEE Trans. Circuits Syst. Video Technol., 2023)

A novel sample and feature dependent ensemble approach for Parkinson's disease detection. - Liaqat Ali; Chinmay Chakraborty; Zhiquan He; Wenming Cao 001; Yakubu Imrana; Joel J. P. C. Rodrigues (Neural Comput. Appl., 2023)

Correction to: Multi-level context-driven interaction modeling for human future trajectory prediction. - Zhiquan He; Hao Sun 024; Wenming Cao 001; Henry Z. He (Neural Comput. Appl., 2023)

A novel inference paradigm based on multi-view prototypes for one-shot semantic segmentation. - Hailing Wang; Guitao Cao; Wenming Cao 001 (Appl. Intell., 2023)

Geometric algebra-based multiscale encoder-decoder networks for 3D motion prediction. - Jianqi Zhong; Wenming Cao 001 (Appl. Intell., 2023)

Two analog neural models with the controllability on number of assets for sparse portfolio design. - Hao Wang 075; Chi-Sing Leung; Andy Hau-Ping Chan; Anthony G. Constantinides; Wenming Cao 001 (Neurocomputing, 2023)

Diegraph: dual-branch information exchange graph convolutional network for deformable medical image registration. - Longji Wang; Zhiyue Yan; Wenming Cao 001; Jianhua Ji (Neural Comput. Appl., 2023)

HyperEditor: Achieving Both Authenticity and Cross-Domain Capability in Image Editing via Hypernetworks. - Hai Zhang; Chunwei Wu; Guitao Cao; Hailing Wang; Wenming Cao 001 (AAAI, 2024)

A Generic Autoregressive Predictive Feedback Framework for Skeleton-Based Action Recognition. - Xinpeng Yin; Jing Hu; Wenming Cao 001 (ACCV (9), 2024)

Multi-feature Combination Medical Image Registration with Keypoints Correction. - Fuyang Xing; Zhiyue Yan; Wenming Cao 001 (APIT, 2024)

Fuzzy Attention-based Geometric Algebra Convolution in Recursive Fusion Network for Medical Image Registration. - Yufeng Zhou; Wenming Cao 001; Yicha Zhang (BIBM, 2024)

Multiple Weather Images Restoration Using the Task Transformer and Adaptive Mixup Strategy. - Yang Wen; Anyu Lai; Bo Qian; Hao Wang 075; Wuzhen Shi; Wenming Cao 001 (CGI (1), 2024)

Deep Learning-Enabled Non-convex Optimization: Encoder-Decoder Forecasting and ADMM Solver. - Wanying Zhang; Wenming Cao 001; Jianhua Ji (CVDL, 2024)

A Biased Non-Convex Optimization Algorithm based on Alternating Direction Method of Multipliers. - Wanying Zhang; Wenming Cao 001; Jianhua Ji (CVDL, 2024)

Multi-Weather Image Restoration via Histogram-Based Transformer Feature Enhancement. - Yang Wen; Anyu Lai; Bo Qian; Hao Wang 075; Wuzhen Shi; Wenming Cao 001 (CoRR, 2024)

D2Vformer: A Flexible Time Series Prediction Model Based on Time Position Embedding. - Xiaobao Song; Hao Wang 075; Liwei Deng; Yuxin He; Wenming Cao 001; Chi-Sing Leung (CoRR, 2024)

Spatial Hierarchy and Temporal Attention Guided Cross Masking for Self-supervised Skeleton-based Action Recognition. - Xinpeng Yin; Wenming Cao 001 (CoRR, 2024)

Cross Dimensional Subspace Attention for human pose estimation. - Rui Wang 034; Zhaozhao Liu; Han Zhang; Xiangyang Wang 003; Wenming Cao 001 (Displays, 2024)

Tacking over-smoothing: Target-guide progressive dynamic graph learning for 3D skeleton-based human motion prediction. - Jianqi Zhong; Jiang Huang; Wenming Cao 001 (Expert Syst. Appl., 2024)

Pure large kernel convolutional neural network transformer for medical image registration. - Zhao Fang; Wenming Cao 001 (Intell. Data Anal., 2024)

Multiple Distilling-based spatial-temporal attention networks for unsupervised human action recognition. - Cheng Zhang; Jianqi Zhong; Wenming Cao 001; Jianhua Ji (Intell. Data Anal., 2024)

Triple-UNet with attention-based technique for deformable medical image registration. - Naeem Hussain; Zhiyue Yan; Wenming Cao 001 (J. Electronic Imaging, 2024)

Spatiotemporal Progressive Inward-Outward Aggregation Network for skeleton-based action recognition. - Xinpeng Yin; Jianqi Zhong; Deliang Lian; Wenming Cao 001 (Pattern Recognit., 2024)

Attribute disentanglement and re-entanglement for generalized zero-shot learning. - Quan Zhou; Yucuan Liang; Zhenqi Zhang; Wenming Cao 001 (Pattern Recognit. Lett., 2024)

Multi-Semantics Aggregation Network Based on the Dynamic-Attention Mechanism for 3D Human Motion Prediction. - Junyu Shi; Jianqi Zhong; Wenming Cao 001 (IEEE Trans. Multim., 2024)

Co-salient object detection with iterative purification and predictive optimization. - Yang Wen; Yuhuan Wang; Hao Wang 075; Wuzhen Shi; Wenming Cao 001 (Virtual Real. Intell. Hardw., 2024)

A Transformer-Assisted Cascade Learning Network for Choroidal Vessel Segmentation. - Yang Wen; Yi-Lin Wu; Lei Bi 001; Wuzhen Shi; Xiao-Xiao Liu; Yupeng Xu; Xun Xu; Wen-Ming Cao 001; David Dagan Feng (J. Comput. Sci. Technol., 2024)

Dual-model Collaborative Learning with Knowledge Clustering for Few-shot Image Classification. - Min Xiong; Wenming Cao 001; Zhineng Zhao (Multim. Tools Appl., 2024)

A New Multitask Joint Learning Framework for Expensive Multi-Objective Optimization Problems. - Jianping Luo; YongFei Dong; Qiqi Liu; Zexuan Zhu; Wenming Cao 001; Kay Chen Tan; Yaochu Jin (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Image Classification on Hypersphere Loss. - Hao Wang 075; Jinpeng Cao; Zhanglei Shi; Chi-Sing Leung; Ruibin Feng; Wenming Cao 001; Yuxin He (IEEE Trans. Ind. Informatics, 2024)

MFCTrans: Multi-scale Feature Connection Transformer for Deformable Medical Image Registration. - Longji Wang; Zhiyue Yan; Wenming Cao 001; Jianhua Ji (Cogn. Comput., 2024)

Isolation and distillation network for generalized zero-shot learning. - Yuchuan Liang; Wenming Cao 001 (Neural Comput. Appl., 2024)

Gradient multi-foci networks for 3D skeleton-based human motion prediction. - Junyu Shi; Jianqi Zhong; Zhiquan He; Wenming Cao 001 (Neural Comput. Appl., 2024)

PANet: Pluralistic Attention Network for Few-Shot Image Classification. - Wenming Cao 001; Tianyuan Li; Qifan Liu; Zhiquan He (Neural Process. Lett., 2024)

Hierarchical Spatial-Temporal Masked Contrast for Skeleton Action Recognition. - Wenming Cao 001; Aoyu Zhang; Zhihai He; Yicha Zhang; Xinpeng Yin (IEEE Trans. Artif. Intell., 2024)

Refining Long-Term Predictions: Two-Stage Spatial-Temporal Feature Learning for 3D Human Motion Prediction. - Wenming Cao 001; Yixin Yang; Jianqi Zhong; Yicha Zhang (BigComp, 2025)

Spectral-spatial representation progressive learning via segmented attention for 3D skeleton-based motion prediction. - Wenming Cao 001; Jianhua Zhang; Jianqi Zhong (Appl. Soft Comput., 2025)

Linearformer: Tri-Net Multi-Layer DVF Medical Image Registration. - Muhammad Anwar; Zhiyue Yan; Wenming Cao 001 (Expert Syst. J. Knowl. Eng., 2025)

Enhancing 3D medical image registration with cross attention, residual skips, and cascade attention. - Muhammad Anwar; Zhiquan He; Wenming Cao 001 (Intell. Data Anal., 2025)

Session-based recommendation with quaternion-enhanced attention calculation. - Yuanbiao Guo; Yishan Liu; Canta Zheng; Wenming Cao 001 (Intell. Data Anal., 2025)

Potential Knowledge Extraction Network for Class-Incremental Learning. - Xidong Xi; Guitao Cao; Wenming Cao 001; Yong Liu; Yan Li 063; Hong Wang; He Ren (Neurocomputing, 2025)

H-SGANet: Hybrid sparse graph attention network for deformable medical image registration. - Yufeng Zhou; Wenming Cao 001 (Neurocomputing, 2025)

Uncertainty guided semi-supervised few-shot segmentation with prototype level fusion. - Hailing Wang; Chunwei Wu; Hai Zhang; Guitao Cao; Wenming Cao 001 (Neural Networks, 2025)

NLA-GNN: Non-local information aggregated graph neural network for heterogeneous graph embedding. - Siheng Wang; Guitao Cao; Wenming Cao 001; Yan Li 063 (Pattern Recognit., 2025)

Deep learning-based time series forecasting. - Xiaobao Song; Liwei Deng; Hao Wang 075; Yaoan Zhang; Yuxin He; Wen-Ming Cao 001 (Artif. Intell. Rev., 2025)

Vision transformer-based generalized zero-shot learning with data criticizing. - Quan Zhou; Yucuan Liang; Zhenqi Zhang; Wenming Cao 001 (Appl. Intell., 2025)

STHRA: selective transformer hierarchical reciprocal attention-based deformable medical image registration. - Muhammad Anwar; Zhiyue Yan; Wenming Cao 001; Naeem Hussain (Multim. Syst., 2025)

Optimizing human motion prediction through decoupled motion spatio-temporal trends. - Huan Pan; Ruiya Ji; Wenming Cao 001; Zhao Huang; Jianqi Zhong (Multim. Syst., 2025)

Adaptive Meta-Path Selection Based Heterogeneous Spatial Enhancement for circRNA-Disease Associations Prediction. - Zhihao Ma; Guitao Cao; Wenming Cao 001 (IEEE J. Biomed. Health Informatics, 2025)

Unsupervised Action Recognition Using Spatiotemporal, Adaptive, and Attention-Guided Refining-Network. - Xinpeng Yin; Cheng Zhang; Zixu Huang; Zhihai He; Wenming Cao 001 (IEEE Trans. Artif. Intell., 2025)

Asymmetric Context-Guided Adaptive Alignment Network for Skeleton-Based Action Recognition. - Wenming Cao 001; Liangxi Qian; Yicha Zhang; Xuelong Li 001; Xinpeng Yin (IEEE Trans. Circuits Syst. Video Technol., 2025)

Progressive Feature Reconstruction Network for Zero-Shot Learning. - Linchun Hu; Wenming Cao 001; Zhenqi Zhang; Yuchuang Liang (IEEE Trans. Circuits Syst. Video Technol., 2025)

Robust Tensor Ring Decomposition for Urban Traffic Data Imputation. - Linfang Yu; Chenyu Guan; Hao Wang 075; Yuxin He; Wenming Cao 001; Chi-Sing Leung (IEEE Trans. Intell. Transp. Syst., 2025)

Dual prior guided depth image super-resolution with multi-scale transformer fusion network. - Pengfei Zhao; Jianhua Ji; Yang Wen; Wuzhen Shi; Wenming Cao 001 (Vis. Comput., 2025)

Positive Sample Mining: Fuzzy Threshold-Based Contrastive Learning for Enhanced Unsupervised Skeleton-Based Action Recognition. - Hengsheng Xu; Jianqi Zhong; Deliang Lian; Hanxu Hou; Wenming Cao 001 (IEEE Trans. Artif. Intell., 2025)

Progressively deeper attention networks for 3D human motion prediction. - Jiangtao Huang; Dong He; Wenming Cao 001; Jianqi Zhong (Multim. Syst., 2025)