Lei Zhang

According to our database, Lei Zhang authored at least 114 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Unified Search Framework for Data Augmentation and Neural Architecture on Small-Scale Image Data Sets.

Jianwei Zhang, Lei Zhang, Dong Li, Lituan Wang

IEEE Trans. Cogn. Dev. Syst., April, 2024

2023

Boundary-Aware Network With Topological Consistency Constraint for Optic Chiasm Segmentation.

Wei Huang, Xin Shu, Zizhou Wang, Chaoyue Chen, Yang Zhang, Lei Zhang, Jianguo Xu

IEEE Trans. Artif. Intell., December, 2023

A feature-wise attention module based on the difference with surrounding features for convolutional neural networks.

Shuo Tan, Lei Zhang, Xin Shu, Zizhou Wang

Frontiers Comput. Sci., December, 2023

Consistent representation via contrastive learning for skin lesion diagnosis.

Zizhou Wang, Lei Zhang, Xin Shu, Yan Wang, Yangqin Feng

Comput. Methods Programs Biomed., December, 2023

SA-RPN: A Spacial Aware Region Proposal Network for Acne Detection.

Jianwei Zhang, Lei Zhang, Junyou Wang, Xin Wei, Jiaqi Li, Xian Jiang, Dan Du

IEEE J. Biomed. Health Informatics, November, 2023

Deep Slice-Crossed Network With Local Weighted Loss for Brain Metastases Segmentation.

Xin Shu, Lei Zhang, Jiao Qu, Lituan Wang, Zizhou Wang, Wenjing Zhang, Ying Wang, Su Lui

IEEE Trans. Cogn. Dev. Syst., September, 2023

Multi-instance learning based on spatial continuous category representation for case-level meningioma grading in MRI images.

Jiayi Li, Lei Zhang, Xin Shu, Yuen Teng, Jianguo Xu

Appl. Intell., June, 2023

Learning representation via indirect feature decorrelation with bi-vector-based contrastive learning for clustering.

Xingyu Xie, Lei Zhang, Yan Wang, Zizhou Wang, Yu Hua

Inf. Sci., May, 2023

Intra-class consistency and inter-class discrimination feature learning for automatic skin lesion classification.

Lituan Wang, Lei Zhang, Xin Shu, Zhang Yi

Medical Image Anal., April, 2023

Robust co-teaching learning with consistency-based noisy label correction for medical image classification.

Minjuan Zhu, Lei Zhang, Lituan Wang, Dong Li, Jianwei Zhang, Zhang Yi

Int. J. Comput. Assist. Radiol. Surg., April, 2023

Convolutional Feature Descriptor Selection for Mammogram Classification.

Dong Li, Lei Zhang, Jianwei Zhang, Xingyu Xie

IEEE J. Biomed. Health Informatics, March, 2023

Improving vessel connectivity in retinal vessel segmentation via adversarial learning.

Yuchen Yuan, Lituan Wang, Lei Zhang

Knowl. Based Syst., February, 2023

Multi-Label Softmax Networks for Pulmonary Nodule Classification Using Unbalanced and Dependent Categories.

Le Yi, Lei Zhang, Xiuyuan Xu, Jixiang Guo

IEEE Trans. Medical Imaging, 2023

A Feature Space-Restricted Attention Attack on Medical Deep Learning Systems.

Zizhou Wang, Xin Shu, Yan Wang, Yangqin Feng, Lei Zhang, Zhang Yi

IEEE Trans. Cybern., 2023

Fine-grained recognition: Multi-granularity labels and category similarity matrix.

Xin Shu, Lei Zhang, Zizhou Wang, Lituan Wang, Zhang Yi

Knowl. Based Syst., 2023

Multilayer perceptron neural network with regression and ranking loss for patient-specific quality assurance.

Wenjie Liu, Lei Zhang, Lizhang Xie, Ting Hu, Guangjun Li, Sen Bai, Zhang Yi

Knowl. Based Syst., 2023

An Efficient Multi-Objective Evolutionary Zero-Shot Neural Architecture Search Framework for Image Classification.

Jianwei Zhang, Lei Zhang, Yan Wang, Junyou Wang, Xin Wei, Wenjie Liu

Int. J. Neural Syst., 2023

Towards Accurate Acne Detection via Decoupled Sequential Detection Head.

Xin Wei, Lei Zhang, Jianwei Zhang, Junyou Wang, Wenjie Liu, Jiaqi Li, Xian Jiang

CoRR, 2023

A Closed-Loop Multi-perspective Visual Servoing Approach with Reinforcement Learning.

Lei Zhang, Jiacheng Pei, Kaixin Bai, Zhaopeng Chen, Jianwei Zhang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2023

2022

Deep Attention-Based Imbalanced Image Classification.

Lituan Wang, Lei Zhang, Xiaofeng Qi, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., 2022

WDCCNet: Weighted Double-Classifier Constraint Neural Network for Mammographic Image Classification.

Yan Wang, Zizhou Wang, Yangqin Feng, Lei Zhang

IEEE Trans. Medical Imaging, 2022

Multi-Level Attention Network for Retinal Vessel Segmentation.

Yuchen Yuan, Lei Zhang, Lituan Wang, Haiying Huang

IEEE J. Biomed. Health Informatics, 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, Guyu Dai, Xiangbin Zhang, Guangjun Li, Zhang Yi

IEEE J. Biomed. Health Informatics, 2022

Feature Pyramid Network With Level-Aware Attention for Meningioma Segmentation.

Wei Huang, Xin Shu, Zizhou Wang, Lei Zhang, Chaoyue Chen, Jianguo Xu, Zhang Yi

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Automated Segmentation of the Clinical Target Volume in the Planning CT for Breast Cancer Using Deep Neural Networks.

Xiaofeng Qi, Junjie Hu, Lei Zhang, Sen Bai, Zhang Yi

IEEE Trans. Cybern., 2022

Feature-Sensitive Deep Convolutional Neural Network for Multi-Instance Breast Cancer Detection.

Yan Wang, Lei Zhang, Xin Shu, Yangqin Feng, Zhang Yi, Qing Lv

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Deep Multiinstance Mammogram Classification With Region Label Assignment Strategy and Metric-Based Optimization.

Dong Li, Lituan Wang, Ting Hu, Lei Zhang, Qing Lv

IEEE Trans. Cogn. Dev. Syst., 2022

Deep Multiscale Multi-Instance Networks With Regional Scoring for Mammogram Classification.

Wenjie Liu, Xin Shu, Lei Zhang, Dong Li, Qing Lv

IEEE Trans. Artif. Intell., 2022

Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images.

Yan Wang, Yangqin Feng, Lei Zhang, Joey Tianyi Zhou, Yong Liu, Rick Siow Mong Goh, Liangli Zhen

Medical Image Anal., 2022

Computer-aided diagnosis of breast cancer in ultrasonography images by deep learning.

Xiaofeng Qi, Fasheng Yi, Lei Zhang, Yao Chen, Yong Pi, Yuanyuan Chen, Jixiang Guo, Jianyong Wang, Quan Guo, Jilan Li, Yi Chen, Qing Lv, Zhang Yi

Neurocomputing, 2022

DE-Net: A deep edge network with boundary information for automatic skin lesion segmentation.

Rui Gu, Lituan Wang, Lei Zhang

Neurocomputing, 2022

Uncertainty-Guided Voxel-Level Supervised Contrastive Learning for Semi-Supervised Medical Image Segmentation.

Yu Hua, Xin Shu, Zizhou Wang, Lei Zhang

Int. J. Neural Syst., 2022

Deep Multimodal Neural Network Based on Data-Feature Fusion for Patient-Specific Quality Assurance.

Ting Hu, Lizhang Xie, Lei Zhang, Guangjun Li, Zhang Yi

Int. J. Neural Syst., 2022

Auto Machine Learning for Medical Image Analysis by Unifying the Search on Data Augmentation and Neural Architecture.

Jianwei Zhang, Dong Li, Lituan Wang, Lei Zhang

CoRR, 2022

Learning High-quality Proposals for Acne Detection.

Jianwei Zhang, Lei Zhang, Junyou Wang, Xin Wei, Jiaqi Li, Xian Jiang, Dan Du

CoRR, 2022

Multi-view fusion segmentation for brain glioma on CT images.

Han Wang, Junjie Hu, Ying Song, Lei Zhang, Sen Bai, Zhang Yi

Appl. Intell., 2022

Towards Precise Model-free Robotic Grasping with Sim-to-Real Transfer Learning.

Lei Zhang, Kaixin Bai, Zhaopeng Chen, Yunlei Shi, Jianwei Zhang

Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2022

A Coarse-to-Fine Network for Craniopharyngioma Segmentation.

Yijie Yu, Lei Zhang, Xin Shu, Zizhou Wang, Chaoyue Chen, Jianguo Xu

Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

2021

Learning Manifold Structures With Subspace Segmentations.

Shangming Yang, Lei Zhang, Xiaofei He, Zhang Yi

IEEE Trans. Cybern., 2021

An End-to-End Mammogram Diagnosis: A New Multi-Instance and Multiscale Method Based on Single-Image Feature.

Zizhou Wang, Lei Zhang, Xin Shu, Qing Lv, Zhang Yi

IEEE Trans. Cogn. Dev. Syst., 2021

Deep adversarial domain adaptation for breast cancer screening from mammograms.

Yan Wang, Yangqin Feng, Lei Zhang, Zizhou Wang, Qing Lv, Zhang Yi

Medical Image Anal., 2021

Prob-CLR: A probabilistic approach to learn discriminative representation.

Xingyu Xie, Minjuan Zhu, Yan Wang, Lei Zhang

Knowl. Based Syst., 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, Jianguo Xu

Knowl. Based Syst., 2021

A novel medical image fusion method based on Rolling Guidance Filtering.

Jingyue Chen, Lei Zhang, Lu Lu, Qilei Li, Moufa Hu, Xiaomin Yang

Internet Things, 2021

A multi-instance networks with multiple views for classification of mammograms.

Ting Hu, Lei Zhang, Lizhang Xie, Zhang Yi

Neurocomputing, 2021

Multi-scale attention U-net for segmenting clinical target volume in graves' ophthalmopathy.

Junjie Hu, Ying Song, Lei Zhang, Sen Bai, Zhang Yi

Neurocomputing, 2021

One-Shot Neural Architecture Search by Dynamically Pruning Supernet in Hierarchical Order.

Jianwei Zhang, Dong Li, Lituan Wang, Lei Zhang

Int. J. Neural Syst., 2021

2020

Deep Neural Networks With Region-Based Pooling Structures for Mammographic Image Classification.

Xin Shu, Lei Zhang, Zizhou Wang, Qing Lv, Zhang Yi

IEEE Trans. Medical Imaging, 2020

Deep Manifold Preserving Autoencoder for Classifying Breast Cancer Histopathological Images.

Yangqin Feng, Lei Zhang, Juan Mo

IEEE ACM Trans. Comput. Biol. Bioinform., 2020

Memory Mechanisms for Discriminative Visual Tracking Algorithms With Deep Neural Networks.

Lituan Wang, Lei Zhang, Jianyong Wang, Zhang Yi

IEEE Trans. Cogn. Dev. Syst., 2020

Iterative 3D feature enhancement network for pancreas segmentation from CT images.

Juan Mo, Lei Zhang, Yan Wang, Haiying Huang

Neural Comput. Appl., 2020

Multiple Regressions based Image Super-resolution.

Xiaomin Yang, Wei Wu, Lu Lu, Binyu Yan, Lei Zhang, Kai Liu

Multim. Tools Appl., 2020

MSCS-DeepLN: Evaluating lung nodule malignancy using multi-scale cost-sensitive neural networks.

Xiuyuan Xu, Chengdi Wang, Jixiang Guo, Yuncui Gan, Jianyong Wang, Hongli Bai, Lei Zhang, Weimin Li, Zhang Yi

Medical Image Anal., 2020

Automatic diagnosis for thyroid nodules in ultrasound images by deep neural networks.

Lituan Wang, Lei Zhang, Minjuan Zhu, Xiaofeng Qi, Zhang Yi

Medical Image Anal., 2020

Neural networks model based on an automated multi-scale method for mammogram classification.

Lizhang Xie, Lei Zhang, Ting Hu, Haiying Huang, Zhang Yi

Knowl. Based Syst., 2020

Surrogate dropout: Learning optimal drop rate through proxy.

Junjie Hu, Yuanyuan Chen, Lei Zhang, Zhang Yi

Knowl. Based Syst., 2020

Multilabel classification by exploiting data-driven pair-wise label dependence.

Tao He, Lei Zhang, Jixiang Guo, Zhang Yi

Int. J. Intell. Syst., 2020

Sichuan dialect speech recognition with deep LSTM network.

Wangyang Ying, Lei Zhang, Hongli Deng

Frontiers Comput. Sci., 2020

2019

Editorial: Booming of Neural Networks and Learning Systems.

Akira Hirose, Alessio Micheli, Artur S. d'Avila Garcez, Choon Ki Ahn, Gang Pan, Hamid Reza Karimi, Jianbing Shen, José de Jesús Rubio, Lei Zhang, Lingjia Liu, Lorenzo Livi, Nian Zhang, Nishchal K. Verma, Pedro Antonio Gutiérrez, Qi Tian, Qinglai Wei, Seiichi Ozawa, Stuart H. Rubin, Wei-Neng Chen, Xi Li, Xiaofeng Liao, Youmin Zhang, Zhen Ni, Haibo He

IEEE Trans. Neural Networks Learn. Syst., 2019

Multitask Learning for Object Localization With Deep Reinforcement Learning.

Yan Wang, Lei Zhang, Lituan Wang, Zizhou Wang

IEEE Trans. Cogn. Dev. Syst., 2019

Predicting movie box-office revenues using deep neural networks.

Yao Zhou, Lei Zhang, Zhang Yi

Neural Comput. Appl., 2019

Single-label and multi-label conceptor classifiers in pre-trained neural networks.

Guangwu Qian, Lei Zhang, Yan Wang

Neural Comput. Appl., 2019

Global context-dependent recurrent neural network language model with sparse feature learning.

Hongli Deng, Lei Zhang, Lituan Wang

Neural Comput. Appl., 2019

Automated diagnosis of breast ultrasonography images using deep neural networks.

Xiaofeng Qi, Lei Zhang, Yao Chen, Yong Pi, Yi Chen, Qing Lv, Zhang Yi

Medical Image Anal., 2019

An Interactive System for Detection and Analysis of Mandibular Cystic Lesions.

Jixiang Guo, Lei Zhang, Yuanyuan Chen, Wei Tang

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018

Theoretical Study of Oscillator Neurons in Recurrent Neural Networks.

Lei Zhang, Zhang Yi, Shun-ichi Amari

IEEE Trans. Neural Networks Learn. Syst., 2018

Recurrent Neural Networks With Auxiliary Memory Units.

Jianyong Wang, Lei Zhang, Quan Guo, Zhang Yi

IEEE Trans. Neural Networks Learn. Syst., 2018

Subspace clustering using a low-rank constrained autoencoder.

Yuanyuan Chen, Lei Zhang, Zhang Yi

Inf. Sci., 2018

Exudate-based diabetic macular edema recognition in retinal images using cascaded deep residual networks.

Juan Mo, Lei Zhang, Yangqin Feng

Neurocomputing, 2018

A New Delay Connection for Long Short-Term Memory Networks.

Jianyong Wang, Lei Zhang, Yuanyuan Chen, Zhang Yi

Int. J. Neural Syst., 2018

A sparse representation based pansharpening method.

Xiaomin Yang, Lihua Jian, Binyu Yan, Kai Liu, Lei Zhang, Yiguang Liu

Future Gener. Comput. Syst., 2018

Convolutional adaptive denoising autoencoders for hierarchical feature extraction.

Qianjun Zhang, Lei Zhang

Frontiers Comput. Sci., 2018

Breast cancer cell nuclei classification in histopathology images using deep neural networks.

Yangqin Feng, Lei Zhang, Zhang Yi

Int. J. Comput. Assist. Radiol. Surg., 2018

A simple feedforward convolutional conceptor neural network for classification.

Guangwu Qian, Lei Zhang

Appl. Soft Comput., 2018

Feature memory-based deep recurrent neural network for language modeling.

Hongli Deng, Lei Zhang, Xin Shu

Appl. Soft Comput., 2018

A multi-level context fusion network for exudate segmentation in retinal images.

Juan Mo, Lei Zhang, Yangqin Feng

Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

Sentence representation and classification using attention and additional language information.

Hongli Deng, Lei Zhang, Lituan Wang

Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017

Predicting neighbor label distributions in dynamic heterogeneous information networks.

Yuchi Ma, Ning Yang, Lei Zhang, Philip S. Yu

World Wide Web, 2017

Trajectory Predictor by Using Recurrent Neural Networks in Visual Tracking.

Lituan Wang, Lei Zhang, Zhang Yi

IEEE Trans. Cybern., 2017

Spatial and semantical label inference for social media - A cross-network data fusion approach.

Yuchi Ma, Ning Yang, Lei Zhang, Philip S. Yu

Knowl. Inf. Syst., 2017

Multi-level deep supervised networks for retinal vessel segmentation.

Juan Mo, Lei Zhang

Int. J. Comput. Assist. Radiol. Surg., 2017

Fast Conceptor Classifier in Pre-trained Neural Networks for Visual Recognition.

Guangwu Qian, Lei Zhang, Qianjun Zhang

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

2016

A Unified Framework for Representation-Based Subspace Clustering of Out-of-Sample and Large-Scale Data.

Xi Peng, Huajin Tang, Lei Zhang, Zhang Yi, Shijie Xiao

IEEE Trans. Neural Networks Learn. Syst., 2016

Learning robust uniform features for cross-media social data by using cross autoencoders.

Quan Guo, Jia Jia, Guangyao Shen, Lei Zhang, Lianhong Cai, Zhang Yi

Knowl. Based Syst., 2016

Double Gaussian mixture model for image segmentation with spatial relationships.

Taisong Xiong, Lei Zhang, Zhang Yi

J. Vis. Commun. Image Represent., 2016

A Novel Low Rank Representation Algorithm for Subspace Clustering.

Yuanyuan Chen, Lei Zhang, Zhang Yi

Int. J. Pattern Recognit. Artif. Intell., 2016

Semi-supervised subspace learning with L2graph.

Xi Peng, Miaolong Yuan, Zhiding Yu, Wei-Yun Yau, Lei Zhang

Neurocomputing, 2016

2015

Constructing L₁-graphs for subspace learning via recurrent neural networks.

Yin Kuang, Lei Zhang, Zhang Yi

Pattern Anal. Appl., 2015

Extended collaborative neighbor representation for robust single-sample face recognition.

Waqas Jadoon, Lei Zhang, Yi Zhang

Neural Comput. Appl., 2015

2014

An adaptive rank-sparsity K-SVD algorithm for image sequence denoising.

Yin Kuang, Lei Zhang, Zhang Yi

Pattern Recognit. Lett., 2014

Learning locality-constrained collaborative representation for robust face recognition.

Xi Peng, Lei Zhang, Zhang Yi, Kok Kiong Tan

Pattern Recognit., 2014

Robust t-distribution mixture modeling via spatially directional information.

Taisong Xiong, Lei Zhang, Zhang Yi

Neural Comput. Appl., 2014

Grayscale image segmentation by spatially variant mixture model with student's t-distribution.

Taisong Xiong, Zhang Yi, Lei Zhang

Multim. Tools Appl., 2014

Graph-Based Features Extraction via datum Adaptive Weighted Collaborative Representation for Face Recognition.

Waqas Jadoon, Yi Zhang, Lei Zhang

Int. J. Pattern Recognit. Artif. Intell., 2014

Nearest convex hull classification by using Lotka-Volterra recurrent neural networks.

Yuanyuan Chen, Lei Zhang, Zhang Yi

Neurocomputing, 2014

Image Denoising Via Sparse Dictionaries Constructed by Subspace Learning.

Yin Kuang, Lei Zhang, Zhang Yi

Circuits Syst. Signal Process., 2014

2013

Collaborative neighbor representation based classification using l₂-minimization approach.

Waqas Jadoon, Zhang Yi, Lei Zhang

Pattern Recognit. Lett., 2013

An improved code selection algorithm for fault prediction.

Yin Kuang, Zhang Yi, Lei Zhang

Neural Comput. Appl., 2013

Inductive Sparse Subspace Clustering

Xi Peng, Lei Zhang, Zhang Yi

CoRR, 2013

An Out-of-sample Extension of Sparse Subspace Clustering and Low Rank Representation for Clustering Large Scale Data Sets.

Xi Peng, Lei Zhang, Zhang Yi

CoRR, 2013

Scalable Sparse Subspace Clustering.

Xi Peng, Lei Zhang, Zhang Yi

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Learning Locality-Constrained Collaborative Representation for Face Recognition

Xi Peng, Lei Zhang, Zhang Yi, Kok Kiong Tan

CoRR, 2012

Constructing L2-Graph For Subspace Learning and Segmentation

Xi Peng, Lei Zhang, Zhang Yi

CoRR, 2012

2011

Selectable and Unselectable Sets of Neurons in Recurrent Neural Networks With Saturated Piecewise Linear Transfer Function.

Lei Zhang, Zhang Yi

IEEE Trans. Neural Networks, 2011

2009

Representations of Continuous Attractors of Recurrent Neural Networks.

Jiali Yu, Zhang Yi, Lei Zhang

IEEE Trans. Neural Networks, 2009

Permitted and Forbidden Sets in Discrete-Time Linear Threshold Recurrent Neural Networks.

Zhang Yi, Lei Zhang, Jiali Yu, Kok Kiong Tan

IEEE Trans. Neural Networks, 2009

Activity Invariant Sets and Exponentially Stable Attractors of Linear Threshold Discrete-Time Recurrent Neural Networks.

Lei Zhang, Zhang Yi, Stones Lei Zhang, Pheng-Ann Heng

IEEE Trans. Autom. Control., 2009

Some multistability properties of bidirectional associative memory recurrent neural networks with unsaturating piecewise linear transfer functions.

Lei Zhang, Zhang Yi, Jiali Yu, Pheng-Ann Heng

Neurocomputing, 2009

Solving the CLM Problem by Discrete-Time Linear Threshold Recurrent Neural Networks.

Lei Zhang, Pheng-Ann Heng, Zhang Yi

Proceedings of the Artificial Neural Networks, 2009

2008

Multiperiodicity and Attractivity of Delayed Recurrent Neural Networks With Unsaturating Piecewise Linear Transfer Functions.

Lei Zhang, Zhang Yi, Jiali Yu

IEEE Trans. Neural Networks, 2008

Continuous attractors of a class of recurrent neural networks.

Haixian Zhang, Zhang Yi, Lei Zhang

Comput. Math. Appl., 2008

2007

Global Exponential Convergence of Time-Varying Delayed Neural Networks with High Gain.

Lei Zhang, Zhang Yi

Proceedings of the Advances in Neural Networks, 2007

2006

Output convergence analysis for a class of delayed recurrent neural networks with time-varying inputs.

Zhang Yi, Jiancheng Lv, Lei Zhang

IEEE Trans. Syst. Man Cybern. Part B, 2006

2005

Clustering Categorical Data Using Coverage Density.

Hua Yan, Lei Zhang, Zhang Yi

Proceedings of the Advanced Data Mining and Applications, First International Conference, 2005