Clustering Categorical Data Using Coverage Density. - Hua Yan; Lei Zhang 005; Zhang Yi 001 (ADMA, 2005)

Output convergence analysis for a class of delayed recurrent neural networks with time-varying inputs. - Zhang Yi 001; Jiancheng Lv 001; Lei Zhang 005 (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Global Exponential Convergence of Time-Varying Delayed Neural Networks with High Gain. - Lei Zhang 005; Zhang Yi 001 (ISNN (1), 2007)

Continuous attractors of a class of recurrent neural networks. - Haixian Zhang; Zhang Yi 001; Lei Zhang 005 (Comput. Math. Appl., 2008)

Multiperiodicity and Attractivity of Delayed Recurrent Neural Networks With Unsaturating Piecewise Linear Transfer Functions. - Lei Zhang 005; Zhang Yi 001; Jiali Yu (IEEE Trans. Neural Networks, 2008)

Solving the CLM Problem by Discrete-Time Linear Threshold Recurrent Neural Networks. - Lei Zhang 005; Pheng-Ann Heng; Zhang Yi 001 (ICANN (1), 2009)

Some multistability properties of bidirectional associative memory recurrent neural networks with unsaturating piecewise linear transfer functions. - Lei Zhang 005; Zhang Yi 001; Jiali Yu; Pheng-Ann Heng (Neurocomputing, 2009)

Activity Invariant Sets and Exponentially Stable Attractors of Linear Threshold Discrete-Time Recurrent Neural Networks. - Lei Zhang 005; Zhang Yi 001; Stones Lei Zhang; Pheng-Ann Heng (IEEE Trans. Autom. Control., 2009)

Permitted and Forbidden Sets in Discrete-Time Linear Threshold Recurrent Neural Networks. - Zhang Yi 001; Lei Zhang 005; Jiali Yu; Kok Kiong Tan (IEEE Trans. Neural Networks, 2009)

Representations of Continuous Attractors of Recurrent Neural Networks. - Jiali Yu; Zhang Yi 001; Lei Zhang 005 (IEEE Trans. Neural Networks, 2009)

Selectable and Unselectable Sets of Neurons in Recurrent Neural Networks With Saturated Piecewise Linear Transfer Function. - Lei Zhang 005; Zhang Yi 001 (IEEE Trans. Neural Networks, 2011)

Constructing L2-Graph For Subspace Learning and Segmentation - Xi Peng 001; Lei Zhang 005; Zhang Yi 001 (CoRR, 2012)

Learning Locality-Constrained Collaborative Representation for Face Recognition - Xi Peng 001; Lei Zhang 005; Zhang Yi 001; Kok Kiong Tan (CoRR, 2012)

Optimizing the MapReduce framework on Intel Xeon Phi coprocessor. - Mian Lu; Lei Zhang 005; Huynh Phung Huynh; Zhongliang Ong; Yun Liang 001; Bingsheng He; Rick Siow Mong Goh; Richard Huynh (IEEE BigData, 2013)

Scalable Sparse Subspace Clustering. - Xi Peng 001; Lei Zhang 005; Zhang Yi 001 (CVPR, 2013)

An Out-of-sample Extension of Sparse Subspace Clustering and Low Rank Representation for Clustering Large Scale Data Sets. - Xi Peng 001; Lei Zhang 005; Zhang Yi 001 (CoRR, 2013)

Inductive Sparse Subspace Clustering - Xi Peng 001; Lei Zhang 005; Zhang Yi 001 (CoRR, 2013)

An improved code selection algorithm for fault prediction. - Yin Kuang; Zhang Yi 001; Lei Zhang 005 (Neural Comput. Appl., 2013)

Collaborative neighbor representation based classification using l2-minimization approach. - Waqas Jadoon; Zhang Yi 001; Lei Zhang 005 (Pattern Recognit. Lett., 2013)

Image Denoising Via Sparse Dictionaries Constructed by Subspace Learning. - Yin Kuang; Lei Zhang 005; Zhang Yi 001 (Circuits Syst. Signal Process., 2014)

Nearest convex hull classification by using Lotka-Volterra recurrent neural networks. - Yuanyuan Chen; Lei Zhang 005; Zhang Yi 001 (Neurocomputing, 2014)

Graph-Based Features Extraction via datum Adaptive Weighted Collaborative Representation for Face Recognition. - Waqas Jadoon; Yi Zhang; Lei Zhang 005 (Int. J. Pattern Recognit. Artif. Intell., 2014)

Grayscale image segmentation by spatially variant mixture model with student's t-distribution. - Taisong Xiong; Zhang Yi 001; Lei Zhang 005 (Multim. Tools Appl., 2014)

Robust t-distribution mixture modeling via spatially directional information. - Taisong Xiong; Lei Zhang 005; Zhang Yi 001 (Neural Comput. Appl., 2014)

Learning locality-constrained collaborative representation for robust face recognition. - Xi Peng 001; Lei Zhang 005; Zhang Yi 001; Kok Kiong Tan (Pattern Recognit., 2014)

An adaptive rank-sparsity K-SVD algorithm for image sequence denoising. - Yin Kuang; Lei Zhang 005; Zhang Yi 001 (Pattern Recognit. Lett., 2014)

Predicting Neighbor Distribution in Heterogeneous Information Networks. - Yuchi Ma; Ning Yang 001; Chuan Li 002; Lei Zhang 005; Philip S. Yu (SDM, 2015)

Extended collaborative neighbor representation for robust single-sample face recognition. - Waqas Jadoon; Lei Zhang 005; Yi Zhang (Neural Comput. Appl., 2015)

Constructing L1-graphs for subspace learning via recurrent neural networks. - Yin Kuang; Lei Zhang 005; Zhang Yi 001 (Pattern Anal. Appl., 2015)

Semi-supervised subspace learning with L2graph. - Xi Peng 001; Miaolong Yuan; Zhiding Yu; Wei-Yun Yau; Lei Zhang 005 (Neurocomputing, 2016)

A Novel Low Rank Representation Algorithm for Subspace Clustering. - Yuanyuan Chen; Lei Zhang 005; Zhang Yi 001 (Int. J. Pattern Recognit. Artif. Intell., 2016)

Double Gaussian mixture model for image segmentation with spatial relationships. - Taisong Xiong; Lei Zhang 005; Zhang Yi 001 (J. Vis. Commun. Image Represent., 2016)

Learning robust uniform features for cross-media social data by using cross autoencoders. - Quan Guo; Jia Jia 001; Guangyao Shen; Lei Zhang 005; Lianhong Cai; Zhang Yi 001 (Knowl. Based Syst., 2016)

A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data. - Xi Peng 001; Huajin Tang; Lei Zhang 005; Zhang Yi 001; Shijie Xiao (IEEE Trans. Neural Networks Learn. Syst., 2016)

Fast Conceptor Classifier in Pre-trained Neural Networks for Visual Recognition. - Guangwu Qian; Lei Zhang 005; Qianjun Zhang (ISNN (2), 2017)

Multi-level deep supervised networks for retinal vessel segmentation. - Juan Mo; Lei Zhang 005 (Int. J. Comput. Assist. Radiol. Surg., 2017)

Spatial and semantical label inference for social media - A cross-network data fusion approach. - Yuchi Ma; Ning Yang 001; Lei Zhang 005; Philip S. Yu (Knowl. Inf. Syst., 2017)

Trajectory Predictor by Using Recurrent Neural Networks in Visual Tracking. - Lituan Wang; Lei Zhang 005; Zhang Yi 001 (IEEE Trans. Cybern., 2017)

Predicting neighbor label distributions in dynamic heterogeneous information networks. - Yuchi Ma; Ning Yang 001; Lei Zhang 005; Philip S. Yu (World Wide Web, 2017)

Sentence representation and classification using attention and additional language information. - Hongli Deng; Lei Zhang 005; Lituan Wang (ICACI, 2018)

A multi-level context fusion network for exudate segmentation in retinal images. - Juan Mo; Lei Zhang 005; Yangqin Feng (ICACI, 2018)

Feature memory-based deep recurrent neural network for language modeling. - Hongli Deng; Lei Zhang 005; Xin Shu (Appl. Soft Comput., 2018)

A simple feedforward convolutional conceptor neural network for classification. - Guangwu Qian; Lei Zhang 005 (Appl. Soft Comput., 2018)

Breast cancer cell nuclei classification in histopathology images using deep neural networks. - Yangqin Feng; Lei Zhang 005; Zhang Yi 001 (Int. J. Comput. Assist. Radiol. Surg., 2018)

Convolutional adaptive denoising autoencoders for hierarchical feature extraction. - Qianjun Zhang; Lei Zhang 005 (Frontiers Comput. Sci., 2018)

A sparse representation based pansharpening method. - Xiaomin Yang; Lihua Jian; Binyu Yan; Kai Liu 012; Lei Zhang 005; Yiguang Liu (Future Gener. Comput. Syst., 2018)

A New Delay Connection for Long Short-Term Memory Networks. - Jianyong Wang 002; Lei Zhang 005; Yuanyuan Chen; Zhang Yi 001 (Int. J. Neural Syst., 2018)

Exudate-based diabetic macular edema recognition in retinal images using cascaded deep residual networks. - Juan Mo; Lei Zhang 005; Yangqin Feng (Neurocomputing, 2018)

Subspace clustering using a low-rank constrained autoencoder. - Yuanyuan Chen; Lei Zhang 005; Zhang Yi 001 (Inf. Sci., 2018)

Recurrent Neural Networks With Auxiliary Memory Units. - Jianyong Wang 002; Lei Zhang 005; Quan Guo; Zhang Yi 001 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Theoretical Study of Oscillator Neurons in Recurrent Neural Networks. - Lei Zhang 005; Zhang Yi 001; Shun-ichi Amari (IEEE Trans. Neural Networks Learn. Syst., 2018)

An Interactive System for Detection and Analysis of Mandibular Cystic Lesions. - Jixiang Guo; Lei Zhang 005; Yuanyuan Chen; Wei Tang (DASC/PiCom/DataCom/CyberSciTech, 2019)

A Survey on 5G Network Slicing Enabling the Smart Grid. - Xu Xia; Lei Zhang 005; Chengli Mei; Jinyan Li; Xuetian Zhu; Yun Liang 001; Jeffrey Song (ICPADS, 2019)

Automated diagnosis of breast ultrasonography images using deep neural networks. - Xiaofeng Qi; Lei Zhang 005; Yao Chen; Yong Pi; Yi Chen; Qing Lv; Zhang Yi 001 (Medical Image Anal., 2019)

Global context-dependent recurrent neural network language model with sparse feature learning. - Hongli Deng; Lei Zhang 005; Lituan Wang (Neural Comput. Appl., 2019)

Single-label and multi-label conceptor classifiers in pre-trained neural networks. - Guangwu Qian; Lei Zhang 005; Yan Wang 015 (Neural Comput. Appl., 2019)

Predicting movie box-office revenues using deep neural networks. - Yao Zhou; Lei Zhang 005; Zhang Yi 001 (Neural Comput. Appl., 2019)

Multitask Learning for Object Localization With Deep Reinforcement Learning. - Yan Wang 015; Lei Zhang 005; Lituan Wang; Zizhou Wang (IEEE Trans. Cogn. Dev. Syst., 2019)

Editorial: Booming of Neural Networks and Learning Systems. - Akira Hirose 001; Alessio Micheli; Artur S. d'Avila Garcez; Choon Ki Ahn; Gang Pan 001; Hamid Reza Karimi; Jianbing Shen; José de Jesús Rubio; Lei Zhang 005; Lingjia Liu 001; Lorenzo Livi; Nian Zhang; et al. (IEEE Trans. Neural Networks Learn. Syst., 2019)

Sichuan dialect speech recognition with deep LSTM network. - Wangyang Ying; Lei Zhang 005; Hongli Deng (Frontiers Comput. Sci., 2020)

Multilabel classification by exploiting data-driven pair-wise label dependence. - Tao He; Lei Zhang 005; Jixiang Guo; Zhang Yi 001 (Int. J. Intell. Syst., 2020)

Semi-supervised cross-modal representation learning with GAN-based Asymmetric Transfer Network. - Lei Zhang 005; Leiting Chen; Weihua Ou; Chuan Zhou 004 (J. Vis. Commun. Image Represent., 2020)

Surrogate dropout: Learning optimal drop rate through proxy. - Junjie Hu 004; Yuanyuan Chen; Lei Zhang 005; Zhang Yi 001 (Knowl. Based Syst., 2020)

Neural networks model based on an automated multi-scale method for mammogram classification. - Lizhang Xie; Lei Zhang 005; Ting Hu; Haiying Huang 004; Zhang Yi 001 (Knowl. Based Syst., 2020)

Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks. - Lituan Wang; Lei Zhang 005; Minjuan Zhu; Xiaofeng Qi; Zhang Yi 001 (Medical Image Anal., 2020)

MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks. - Xiuyuan Xu; Chengdi Wang; Jixiang Guo; Yuncui Gan; Jianyong Wang 002; Hongli Bai; Lei Zhang 005; Weimin Li 003; Zhang Yi 001 (Medical Image Anal., 2020)

Multiple Regressions based Image Super-resolution. - Xiaomin Yang; Wei Wu 002; Lu Lu 005; Binyu Yan; Lei Zhang 005; Kai Liu 012 (Multim. Tools Appl., 2020)

Iterative 3D feature enhancement network for pancreas segmentation from CT images. - Juan Mo; Lei Zhang 005; Yan Wang 015; Haiying Huang 004 (Neural Comput. Appl., 2020)

Memory Mechanisms for Discriminative Visual Tracking Algorithms With Deep Neural Networks. - Lituan Wang; Lei Zhang 005; Jianyong Wang 002; Zhang Yi 001 (IEEE Trans. Cogn. Dev. Syst., 2020)

Deep Manifold Preserving Autoencoder for Classifying Breast Cancer Histopathological Images. - Yangqin Feng; Lei Zhang 005; Juan Mo (IEEE ACM Trans. Comput. Biol. Bioinform., 2020)

Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification. - Xin Shu; Lei Zhang 005; Zizhou Wang; Qing Lv; Zhang Yi 001 (IEEE Trans. Medical Imaging, 2020)

Cross-Modal Guidance for Hyperfluorescence Segmentation in Fundus Fluorescein Angiography. - Chuan Zhou 004; Tian Zhang; Yang Wen; Leiting Chen; Lei Zhang 005; Junjing Chen (ICME, 2021)

Exploring Graph-Structured Semantics for Cross-Modal Retrieval. - Lei Zhang 005; Leiting Chen; Chuan Zhou 004; Fan Yang 054; Xin Li 079 (ACM Multimedia, 2021)

One-Shot Neural Architecture Search by Dynamically Pruning Supernet in Hierarchical Order. - Jianwei Zhang 016; Dong Li; Lituan Wang; Lei Zhang 005 (Int. J. Neural Syst., 2021)

Multi-scale attention U-net for segmenting clinical target volume in graves' ophthalmopathy. - Junjie Hu 004; Ying Song; Lei Zhang 005; Sen Bai; Zhang Yi 001 (Neurocomputing, 2021)

A multi-instance networks with multiple views for classification of mammograms. - Ting Hu; Lei Zhang 005; Lizhang Xie; Zhang Yi 001 (Neurocomputing, 2021)

A novel medical image fusion method based on Rolling Guidance Filtering. - Jingyue Chen; Lei Zhang 005; Lu Lu 005; Qilei Li; Moufa Hu; Xiaomin Yang (Internet Things, 2021)

A semi-symmetric domain adaptation network based on multi-level adversarial features for meningioma segmentation. - Zizhou Wang; Xin Shu; Chaoyue Chen; Yuen Teng; Lei Zhang 005; Jianguo Xu (Knowl. Based Syst., 2021)

Prob-CLR: A probabilistic approach to learn discriminative representation. - Xingyu Xie; Minjuan Zhu; Yan Wang 015; Lei Zhang 005 (Knowl. Based Syst., 2021)

Deep adversarial domain adaptation for breast cancer screening from mammograms. - Yan Wang 015; Yangqin Feng; Lei Zhang 005; Zizhou Wang; Qing Lv; Zhang Yi 001 (Medical Image Anal., 2021)

An End-to-End Mammogram Diagnosis: A New Multi-Instance and Multiscale Method Based on Single-Image Feature. - Zizhou Wang; Lei Zhang 005; Xin Shu; Qing Lv; Zhang Yi 001 (IEEE Trans. Cogn. Dev. Syst., 2021)

Learning Manifold Structures With Subspace Segmentations. - Shangming Yang; Lei Zhang 005; Xiaofei He 001; Zhang Yi 001 (IEEE Trans. Cybern., 2021)

A Coarse-to-Fine Network for Craniopharyngioma Segmentation. - Yijie Yu 001; Lei Zhang 005; Xin Shu; Zizhou Wang; Chaoyue Chen; Jianguo Xu (MLMI@MICCAI, 2022)

Multi-view fusion segmentation for brain glioma on CT images. - Han Wang 025; Junjie Hu 004; Ying Song; Lei Zhang 005; Sen Bai; Zhang Yi 001 (Appl. Intell., 2022)

Semi-supervised constrained graph convolutional network for cross-modal retrieval. - Lei Zhang 005; Leiting Chen; Weihua Ou; Chuan Zhou 004 (Comput. Electr. Eng., 2022)

Semi-supervised cross-modal retrieval with graph-based semantic alignment network. - Lei Zhang 005; Leiting Chen; Weihua Ou; Chuan Zhou 004 (Comput. Electr. Eng., 2022)

Learning High-quality Proposals for Acne Detection. - Jianwei Zhang 016; Lei Zhang 005; Junyou Wang; Xin Wei; Jiaqi Li; Xian Jiang; Dan Du (CoRR, 2022)

Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture. - Jianwei Zhang 016; Dong Li; Lituan Wang; Lei Zhang 005 (CoRR, 2022)

Deep Multimodal Neural Network Based on Data-Feature Fusion for Patient-Specific Quality Assurance. - Ting Hu; Lizhang Xie; Lei Zhang 005; Guangjun Li; Zhang Yi 001 (Int. J. Neural Syst., 2022)

Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation. - Yu Hua; Xin Shu; Zizhou Wang; Lei Zhang 005 (Int. J. Neural Syst., 2022)

DE-Net: A deep edge network with boundary information for automatic skin lesion segmentation. - Rui Gu; Lituan Wang; Lei Zhang 005 (Neurocomputing, 2022)

Computer-aided diagnosis of breast cancer in ultrasonography images by deep learning. - Xiaofeng Qi; Fasheng Yi; Lei Zhang 005; Yao Chen; Yong Pi; Yuanyuan Chen; Jixiang Guo; Jianyong Wang 002; Quan Guo; Jilan Li; Yi Chen; Qing Lv; et al. (Neurocomputing, 2022)

Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images. - Yan Wang 015; Yangqin Feng; Lei Zhang 005; Joey Tianyi Zhou; Yong Liu 026; Rick Siow Mong Goh; Liangli Zhen (Medical Image Anal., 2022)

Deep Multiscale Multi-Instance Networks With Regional Scoring for Mammogram Classification. - Wenjie Liu; Xin Shu; Lei Zhang 005; Dong Li; Qing Lv (IEEE Trans. Artif. Intell., 2022)

Deep Multiinstance Mammogram Classification With Region Label Assignment Strategy and Metric-Based Optimization. - Dong Li; Lituan Wang; Ting Hu; Lei Zhang 005; Qing Lv (IEEE Trans. Cogn. Dev. Syst., 2022)

Feature-Sensitive Deep Convolutional Neural Network for Multi-Instance Breast Cancer Detection. - Yan Wang 015; Lei Zhang 005; Xin Shu; Yangqin Feng; Zhang Yi 001; Qing Lv (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Automated Segmentation of the Clinical Target Volume in the Planning CT for Breast Cancer Using Deep Neural Networks. - Xiaofeng Qi; Junjie Hu 004; Lei Zhang 005; Sen Bai; Zhang Yi 001 (IEEE Trans. Cybern., 2022)

Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation. - Wei Huang; Xin Shu; Zizhou Wang; Lei Zhang 005; Chaoyue Chen; Jianguo Xu; Zhang Yi 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Deep Neural Network With Structural Similarity Difference and Orientation-Based Loss for Position Error Classification in the Radiotherapy of Graves' Ophthalmopathy Patients. - Wenjie Liu; Lei Zhang 005; Guyu Dai; Xiangbin Zhang; Guangjun Li; Zhang Yi 001 (IEEE J. Biomed. Health Informatics, 2022)

Multi-Level Attention Network for Retinal Vessel Segmentation. - Yuchen Yuan; Lei Zhang 005; Lituan Wang; Haiying Huang 004 (IEEE J. Biomed. Health Informatics, 2022)

WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification. - Yan Wang 015; Zizhou Wang; Yangqin Feng; Lei Zhang 005 (IEEE Trans. Medical Imaging, 2022)

Deep Attention-Based Imbalanced Image Classification. - Lituan Wang; Lei Zhang 005; Xiaofeng Qi; Zhang Yi 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

A 128-Channel 2mmx2mm Battery-Free Neural Dielet Merging Simultaneous Multi-Channel Transmission Through Multi-Carrier Orthogonal Backscatter. - Changgui Yang; Zhihuan Zhang; Lei Zhang 005; Yunshan Zhang; Zhuhao Li; Yuxuan Luo; Gang Pan 001; Bo Zhao 003 (ISSCC, 2023)

Towards Accurate Acne Detection via Decoupled Sequential Detection Head. - Xin Wei; Lei Zhang 005; Jianwei Zhang 016; Junyou Wang; Wenjie Liu; Jiaqi Li; Xian Jiang (CoRR, 2023)

An Efficient Multi-Objective Evolutionary Zero-Shot Neural Architecture Search Framework for Image Classification. - Jianwei Zhang 016; Lei Zhang 005; Yan Wang 015; Junyou Wang; Xin Wei; Wenjie Liu (Int. J. Neural Syst., 2023)

Multilayer perceptron neural network with regression and ranking loss for patient-specific quality assurance. - Wenjie Liu; Lei Zhang 005; Lizhang Xie; Ting Hu; Guangjun Li; Sen Bai; Zhang Yi 001 (Knowl. Based Syst., 2023)

Fine-grained recognition: Multi-granularity labels and category similarity matrix. - Xin Shu; Lei Zhang 005; Zizhou Wang; Lituan Wang; Zhang Yi 001 (Knowl. Based Syst., 2023)

A Feature Space-Restricted Attention Attack on Medical Deep Learning Systems. - Zizhou Wang; Xin Shu; Yan Wang 015; Yangqin Feng; Lei Zhang 005; Zhang Yi 001 (IEEE Trans. Cybern., 2023)

Multi-Label Softmax Networks for Pulmonary Nodule Classification Using Unbalanced and Dependent Categories. - Le Yi; Lei Zhang 005; Xiuyuan Xu; Jixiang Guo (IEEE Trans. Medical Imaging, 2023)

Mixture 2D Convolutions for 3D Medical Image Segmentation. - Jianyong Wang 002; Lei Zhang 005; Yi Zhang (Int. J. Neural Syst., 2023)

Improving vessel connectivity in retinal vessel segmentation via adversarial learning. - Yuchen Yuan; Lituan Wang; Lei Zhang 005 (Knowl. Based Syst., 2023)

Convolutional Feature Descriptor Selection for Mammogram Classification. - Dong Li; Lei Zhang 005; Jianwei Zhang 016; Xingyu Xie (IEEE J. Biomed. Health Informatics, 2023)

Cross-Modal Generation and Pair Correlation Alignment Hashing. - Weihua Ou; Jiaxin Deng; Lei Zhang 005; Jianping Gou; Quan Zhou 004 (IEEE Trans. Intell. Transp. Syst., 2023)

Robust co-teaching learning with consistency-based noisy label correction for medical image classification. - Minjuan Zhu; Lei Zhang 005; Lituan Wang; Dong Li; Jianwei Zhang 016; Zhang Yi 001 (Int. J. Comput. Assist. Radiol. Surg., 2023)

Intra-class consistency and inter-class discrimination feature learning for automatic skin lesion classification. - Lituan Wang; Lei Zhang 005; Xin Shu; Zhang Yi 001 (Medical Image Anal., 2023)

Learning representation via indirect feature decorrelation with bi-vector-based contrastive learning for clustering. - Xingyu Xie; Lei Zhang 005; Yan Wang 015; Zizhou Wang; Yu Hua (Inf. Sci., 2023)

Multi-instance learning based on spatial continuous category representation for case-level meningioma grading in MRI images. - Jiayi Li; Lei Zhang 005; Xin Shu; Yuen Teng; Jianguo Xu (Appl. Intell., 2023)

Deep Slice-Crossed Network With Local Weighted Loss for Brain Metastases Segmentation. - Xin Shu; Lei Zhang 005; Jiao Qu; Lituan Wang; Zizhou Wang; Wenjing Zhang; Ying Wang; Su Lui (IEEE Trans. Cogn. Dev. Syst., 2023)

SA-RPN: A Spacial Aware Region Proposal Network for Acne Detection. - Jianwei Zhang 016; Lei Zhang 005; Junyou Wang; Xin Wei; Jiaqi Li; Xian Jiang; Dan Du (IEEE J. Biomed. Health Informatics, 2023)

Consistent representation via contrastive learning for skin lesion diagnosis. - Zizhou Wang; Lei Zhang 005; Xin Shu; Yan Wang 015; Yangqin Feng (Comput. Methods Programs Biomed., 2023)

A feature-wise attention module based on the difference with surrounding features for convolutional neural networks. - Shuo Tan; Lei Zhang 005; Xin Shu; Zizhou Wang (Frontiers Comput. Sci., 2023)

Boundary-Aware Network With Topological Consistency Constraint for Optic Chiasm Segmentation. - Wei Huang; Xin Shu; Zizhou Wang; Chaoyue Chen; Yang Zhang; Lei Zhang 005; Jianguo Xu (IEEE Trans. Artif. Intell., 2023)

PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation. - Yu Lei; Haolun Luo; Lituan Wang; Zhenwei Zhang; Lei Zhang 005 (ICIC (6), 2024)

DualPSNet: A Discrepant-Annotations-Driven Framework for Medical Image Segmentation from Dual-Polygon Supervision. - Rongjie Tang; Lei Zhang 005; Lituan Wang (IJCNN, 2024)

Sufficient Sampling Method of Ranking Loss for Acne Detection. - Junyou Wang; Lei Zhang 005; Jianwei Zhang 016; Xin Wei; Wenjie Liu; Jiaqi Li; Xian Jiang (IJCNN, 2024)

Automated Measurement of Brainstem-Vermis and Brainstem-Tentorium Angles in Fetal MRI Images Based on Landmark Detection. - Xiaosong Wei; Lei Zhang 005; Wei Huang; Jiayan She; Jiaxi Wang; Gang Ning (IJCNN, 2024)

SS-ALDL: Consistency-based semi-supervised label distribution learning for acne severity classification. - Wenjie Liu; Lei Zhang 005; Jianwei Zhang 016; Jiaqi Li; Junyou Wang; Xian Jiang (Appl. Soft Comput., 2024)

LanDA: Language-Guided Multi-Source Domain Adaptation. - Zhenbin Wang; Lei Zhang 005; Lituan Wang; Minjuan Zhu (CoRR, 2024)

Soft Masked Mamba Diffusion Model for CT to MRI Conversion. - Zhenbin Wang; Lei Zhang 005; Lituan Wang; Zhenwei Zhang (CoRR, 2024)

Optical Flow Representation Alignment Mamba Diffusion Model for Medical Video Generation. - Zhenbin Wang; Lei Zhang 005; Lituan Wang; Minjuan Zhu; Zhenwei Zhang (CoRR, 2024)

A discrepancy-aware self-distillation method for multi-modal glioma grading. - Jiayi Li; Lei Zhang 005; Ke Zhong; Guangwu Qian (Knowl. Based Syst., 2024)

Decoupled Sequential Detection Head for accurate acne detection. - Xin Wei; Lei Zhang 005; Jianwei Zhang 016; Junyou Wang; Wenjie Liu; Jiaqi Li; Xian Jiang (Knowl. Based Syst., 2024)

Weighted Graph-Structured Semantics Constraint Network for Cross-Modal Retrieval. - Lei Zhang 005; Leiting Chen; Chuan Zhou 004; Xin Li 079; Fan Yang 054; Zhang Yi 001 (IEEE Trans. Multim., 2024)

A Unified Search Framework for Data Augmentation and Neural Architecture on Small-Scale Image Data Sets. - Jianwei Zhang 016; Lei Zhang 005; Dong Li; Lituan Wang (IEEE Trans. Cogn. Dev. Syst., 2024)

MedNAS: Multiscale Training-Free Neural Architecture Search for Medical Image Analysis. - Yan Wang 015; Liangli Zhen; Jianwei Zhang 016; Miqing Li; Lei Zhang 005; Zizhou Wang; Yangqin Feng; Yu Xue 003; Xiao Wang 004; Zheng Chen 012; Tao Luo 014; Rich Siow Mong Goh; et al. (IEEE Trans. Evol. Comput., 2024)

Exploring Inherent Consistency for Semi-Supervised Anatomical Structure Segmentation in Medical Imaging. - Wei Huang; Lei Zhang 005; Zizhou Wang; Lituan Wang (IEEE Trans. Medical Imaging, 2024)

Adaptive Annotation Correlation Based Multi-Annotation Learning for Calibrated Medical Image Segmentation. - Wei Huang; Lei Zhang 005; Xin Shu; Zizhou Wang; Zhang Yi 001 (IEEE J. Biomed. Health Informatics, 2024)

Be your own doctor: Temperature scaling self-knowledge distillation for medical image classification. - Wenjie Liu; Lei Zhang 005; Xianliang Zhang; Xinyang Zhou; Xin Wei (Neurocomputing, 2025)

Learning from certain regions of interest in medical images via probabilistic positive-unlabeled networks. - Le Yi; Lei Zhang 005; Kefu Zhao; Xiuyuan Xu (Medical Image Anal., 2025)

EAUWSeg: Eliminating annotation uncertainty in weakly-supervised medical image segmentation. - Lituan Wang; Lei Zhang 005; Wang Yan; Zhenbin Wang; Zhenwei Zhang; Zhang Yi 001 (CoRR, 2025)

Cross-modal retrieval of chest X-ray images and diagnostic reports based on report entity graph and dual attention. - Weihua Ou; Yingjie Chen; Linqing Liang; Jianping Gou; Jiahao Xiong; Jiacheng Zhang; Lingge Lai; Lei Zhang 005 (Multim. Syst., 2025)

Neural Dielet 2.0: A 128-Channel 2mm$ times$2mm Battery-Free Neural Dielet Merging Simultaneous Multi-Channel Transmission Through Multi-Carrier Orthogonal Backscatter. - Changgui Yang; Zhihuan Zhang; Lei Zhang 005; Yunshan Zhang; Zhuhao Li; Yuxuan Luo; Gang Pan 001; Bo Zhao 003 (IEEE Trans. Biomed. Circuits Syst., 2025)

Boundary-sensitive Adaptive Decoupled Knowledge Distillation For Acne Grading. - Xinyang Zhou; Wenjie Liu; Lei Zhang 005; Xianliang Zhang (Appl. Intell., 2025)