Lei Zhang

Proceedings of the International Joint Conference on Neural Networks, 2024

PCLMix: Weakly Supervised Medical Image Segmentation via Pixel-Level Contrastive Learning and Dynamic Mix Augmentation.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

2023

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

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., December, 2023

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

[BibT_eX]

[DOI]

Frontiers Comput. Sci., December, 2023

Consistent representation via contrastive learning for skin lesion diagnosis.

[BibT_eX]

[DOI]

Comput. Methods Programs Biomed., December, 2023

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

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, November, 2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Appl. Intell., June, 2023

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

[BibT_eX]

[DOI]

Inf. Sci., May, 2023

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

[BibT_eX]

[DOI]

Medical Image Anal., April, 2023

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

[BibT_eX]

[DOI]

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

Cross-Modal Generation and Pair Correlation Alignment Hashing.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., March, 2023

Convolutional Feature Descriptor Selection for Mammogram Classification.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, March, 2023

Improving vessel connectivity in retinal vessel segmentation via adversarial learning.

[BibT_eX]

[DOI]

Yuchen Yuan

Knowl. Based Syst., February, 2023

Mixture 2D Convolutions for 3D Medical Image Segmentation.

[BibT_eX]

[DOI]

Jianyong Wang

Yi Zhang

Int. J. Neural Syst., January, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2023

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

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2023

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

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

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2023

Towards Accurate Acne Detection via Decoupled Sequential Detection Head.

[BibT_eX]

[DOI]

CoRR, 2023

A 128-Channel 2mmx2mm Battery-Free Neural Dielet Merging Simultaneous Multi-Channel Transmission Through Multi-Carrier Orthogonal Backscatter.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Solid- State Circuits Conference, 2023

2022

Deep Attention-Based Imbalanced Image Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2022

Multi-Level Attention Network for Retinal Vessel Segmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2022

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

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., 2022

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

[BibT_eX]

[DOI]

Medical Image Anal., 2022

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

[BibT_eX]

[DOI]

Neurocomputing, 2022

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

[BibT_eX]

[DOI]

Rui Gu

Neurocomputing, 2022

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

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2022

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

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Learning High-quality Proposals for Acne Detection.

[BibT_eX]

[DOI]

CoRR, 2022

Semi-supervised cross-modal retrieval with graph-based semantic alignment network.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2022

Semi-supervised constrained graph convolutional network for cross-modal retrieval.

[BibT_eX]

[DOI]

Comput. Electr. Eng., 2022

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

[BibT_eX]

[DOI]

Appl. Intell., 2022

A Coarse-to-Fine Network for Craniopharyngioma Segmentation.

[BibT_eX]

[DOI]

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

2021

Learning Manifold Structures With Subspace Segmentations.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2021

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

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2021

Deep adversarial domain adaptation for breast cancer screening from mammograms.

[BibT_eX]

[DOI]

Medical Image Anal., 2021

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

A semi-symmetric domain adaptation network based on multi-level adversarial features for meningioma segmentation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

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

[BibT_eX]

[DOI]

Internet Things, 2021

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

[BibT_eX]

[DOI]

Neurocomputing, 2021

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

[BibT_eX]

[DOI]

Neurocomputing, 2021

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

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2021

Exploring Graph-Structured Semantics for Cross-Modal Retrieval.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Cross-Modal Guidance for Hyperfluorescence Segmentation in Fundus Fluorescein Angiography.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020

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

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Deep Manifold Preserving Autoencoder for Classifying Breast Cancer Histopathological Images.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2020

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

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

Multiple Regressions based Image Super-resolution.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2020

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

[BibT_eX]

[DOI]

Medical Image Anal., 2020

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

[BibT_eX]

[DOI]

Medical Image Anal., 2020

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Surrogate dropout: Learning optimal drop rate through proxy.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

Semi-supervised cross-modal representation learning with GAN-based Asymmetric Transfer Network.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2020

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

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2020

Sichuan dialect speech recognition with deep LSTM network.

[BibT_eX]

[DOI]

Wangyang Ying

Frontiers Comput. Sci., 2020

2019

Editorial: Booming of Neural Networks and Learning Systems.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Multitask Learning for Object Localization With Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cogn. Dev. Syst., 2019

Predicting movie box-office revenues using deep neural networks.

[BibT_eX]

[DOI]

Yao Zhou

Neural Comput. Appl., 2019

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

[BibT_eX]

[DOI]

Guangwu Qian

Yan Wang

Neural Comput. Appl., 2019

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

[BibT_eX]

[DOI]

Neural Comput. Appl., 2019

Automated diagnosis of breast ultrasonography images using deep neural networks.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

A Survey on 5G Network Slicing Enabling the Smart Grid.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Parallel and Distributed Systems, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intl Conf on Dependable, 2019

2018

Theoretical Study of Oscillator Neurons in Recurrent Neural Networks.

[BibT_eX]

[DOI]

Shun-ichi Amari

IEEE Trans. Neural Networks Learn. Syst., 2018

Recurrent Neural Networks With Auxiliary Memory Units.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Subspace clustering using a low-rank constrained autoencoder.

[BibT_eX]

[DOI]

Yuanyuan Chen

Inf. Sci., 2018

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

[BibT_eX]

[DOI]

Neurocomputing, 2018

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

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2018

A sparse representation based pansharpening method.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2018

Convolutional adaptive denoising autoencoders for hierarchical feature extraction.

[BibT_eX]

[DOI]

Qianjun Zhang

Frontiers Comput. Sci., 2018

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

[BibT_eX]

[DOI]

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

A simple feedforward convolutional conceptor neural network for classification.

[BibT_eX]

[DOI]

Guangwu Qian

Appl. Soft Comput., 2018

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

[BibT_eX]

[DOI]

Xin Shu

Appl. Soft Comput., 2018

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

[BibT_eX]

[DOI]

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

Sentence representation and classification using attention and additional language information.

[BibT_eX]

[DOI]

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

2017

Predicting neighbor label distributions in dynamic heterogeneous information networks.

[BibT_eX]

[DOI]

World Wide Web, 2017

Trajectory Predictor by Using Recurrent Neural Networks in Visual Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

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

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2017

Multi-level deep supervised networks for retinal vessel segmentation.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Guangwu Qian

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.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

Double Gaussian mixture model for image segmentation with spatial relationships.

[BibT_eX]

[DOI]

Taisong Xiong

J. Vis. Commun. Image Represent., 2016

A Novel Low Rank Representation Algorithm for Subspace Clustering.

[BibT_eX]

[DOI]

Yuanyuan Chen

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

Semi-supervised subspace learning with L2graph.

[BibT_eX]

[DOI]

Neurocomputing, 2016

2015

Constructing L<sub>1</sub>-graphs for subspace learning via recurrent neural networks.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2015

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

[BibT_eX]

[DOI]

Waqas Jadoon

Yi Zhang

Neural Comput. Appl., 2015

Predicting Neighbor Distribution in Heterogeneous Information Networks.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

2014

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

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2014

Learning locality-constrained collaborative representation for robust face recognition.

[BibT_eX]

[DOI]

Pattern Recognit., 2014

Robust t-distribution mixture modeling via spatially directional information.

[BibT_eX]

[DOI]

Taisong Xiong

Neural Comput. Appl., 2014

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

[BibT_eX]

[DOI]

Taisong Xiong

Multim. Tools Appl., 2014

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

[BibT_eX]

[DOI]

Waqas Jadoon

Yi Zhang

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

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

[BibT_eX]

[DOI]

Yuanyuan Chen

Neurocomputing, 2014

Image Denoising Via Sparse Dictionaries Constructed by Subspace Learning.

[BibT_eX]

[DOI]

Circuits Syst. Signal Process., 2014

2013

Collaborative neighbor representation based classification using l<sub>2</sub>-minimization approach.

[BibT_eX]

[DOI]

Waqas Jadoon

Pattern Recognit. Lett., 2013

An improved code selection algorithm for fault prediction.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2013

Inductive Sparse Subspace Clustering

[BibT_eX]

[DOI]

CoRR, 2013

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

[BibT_eX]

[DOI]

CoRR, 2013

Scalable Sparse Subspace Clustering.

[BibT_eX]

[DOI]

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

Optimizing the MapReduce framework on Intel Xeon Phi coprocessor.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Learning Locality-Constrained Collaborative Representation for Face Recognition

[BibT_eX]

[DOI]

CoRR, 2012

Constructing L2-Graph For Subspace Learning and Segmentation

[BibT_eX]

[DOI]

CoRR, 2012

2011

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2011

2009

Representations of Continuous Attractors of Recurrent Neural Networks.

[BibT_eX]

[DOI]

Jiali Yu

IEEE Trans. Neural Networks, 2009

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2009

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

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2009

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

[BibT_eX]

[DOI]

Neurocomputing, 2009

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

[BibT_eX]

[DOI]

Pheng-Ann Heng

Proceedings of the Artificial Neural Networks, 2009

2008

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

[BibT_eX]

[DOI]

Jiali Yu

IEEE Trans. Neural Networks, 2008

Continuous attractors of a class of recurrent neural networks.

[BibT_eX]

[DOI]

Haixian Zhang

Comput. Math. Appl., 2008

2007

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks, 2007

2006

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

[BibT_eX]

[DOI]

Jiancheng Lv

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

2005

Clustering Categorical Data Using Coverage Density.

[BibT_eX]

[DOI]

Hua Yan