Fanzhang Li

Pattern Recognit., 2024

FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

PMGCN:Preserving Measuring Mapping Prototype Graph Calibration Network for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the MultiMedia Modeling - 30th International Conference, 2024

TATM: Task-Adaptive Token Matching for Few-Shot Transformer.

[BibT_eX]

[DOI]

Yuheng Li

Proceedings of the International Joint Conference on Neural Networks, 2024

Adaptive Feature Representation Based On Contrastive Learning For Few-Shot Classification.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-Shot Image Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

CartoonDiff: Training-free Cartoon Image Generation with Diffusion Transformer Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

A Simple Task-Aware Contrastive Local Descriptor Selection Strategy for Few-Shot Learning Between Inter Class and Intra Class.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Lie group kernel learning method for medical image classification.

[BibT_eX]

[DOI]

Haocheng Sun

Pattern Recognit., October, 2023

Discriminant space metric network for few-shot image classification.

[BibT_eX]

[DOI]

Appl. Intell., July, 2023

Learning fair representations for accuracy parity.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., March, 2023

A Survey on Dynamic Fuzzy Machine Learning.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2023

PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification.

[BibT_eX]

[DOI]

CoRR, 2023

RDFS<sub>(c)</sub> Schema Inconsistency Checking Based on a Key Instance and Its Query Rewriting.

[BibT_eX]

[DOI]

Xiaofei Zhao

Hongji Yang

IEEE Access, 2023

Task-Aware Adversarial Feature Perturbation for Cross-Domain Few-Shot Learning.

[BibT_eX]

[DOI]

Yixiao Ma

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Diversified Contrastive Learning For Few-Shot Classification.

[BibT_eX]

[DOI]

Guangtong Lu

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Boosting Few-Shot Classification with Lie Group Contrastive Learning.

[BibT_eX]

[DOI]

Feihong He

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Conference Chair Message.

[BibT_eX]

[DOI]

Wei Fang

Shitong Wang

Proceedings of the 23rd IEEE/ACIS International Conference on Computer and Information Science, 2023

2022

Adaptively local consistent concept factorization for multi-view clustering.

[BibT_eX]

[DOI]

Mei Lu

Soft Comput., 2022

Deeper multi-column dilated convolutional network for congested crowd understanding.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2022

Deep Belief Network and Closed Polygonal Line for Lung Segmentation in Chest Radiographs.

[BibT_eX]

[DOI]

Comput. J., 2022

Continual meta-learning algorithm.

[BibT_eX]

[DOI]

Mengjuan Jiang

Appl. Intell., 2022

Lie group continual meta learning algorithm.

[BibT_eX]

[DOI]

Mengjuan Jiang

Appl. Intell., 2022

Adaptive Weights and Sample's Distribution for Few Shot Classification.

[BibT_eX]

[DOI]

Tengyu Yang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Adaptive Metric-weight and Bias Network for Few-shot Learning.

[BibT_eX]

[DOI]

Jiaming Wang

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Prototype Augmentation with Dummy Samples.

[BibT_eX]

[DOI]

Hong Yu

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Class-wise Attention Reinforcement for Semi-supervised Meta-Learning.

[BibT_eX]

[DOI]

Xiaohang Pan

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Self-Challenging Mask for Cross-Domain Few-Shot Classification.

[BibT_eX]

[DOI]

Yixiao Ma

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Task-adaptive Few-shot Learning on Sphere Manifold.

[BibT_eX]

[DOI]

Xi He

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Patch Mix Augmentation with Dual Encoders for Meta-Learning.

[BibT_eX]

[DOI]

Hong Yu

Proceedings of the Neural Information Processing - 29th International Conference, 2022

2021

One-step multi-view spectral clustering by learning common and specific nonnegative embeddings.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2021

Parallel optimization of QoS-aware big service processes with discovery of skyline services.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2021

Extracting Satisfiability-Preserving Modules From the OWL RL Ontology for Efficient Reasoning.

[BibT_eX]

[DOI]

Xiaofei Zhao

Hongji Yang

IEEE Access, 2021

Improving Meta-Learning Classification with Prototype Enhancement.

[BibT_eX]

[DOI]

Xiaohang Pan

Proceedings of the International Joint Conference on Neural Networks, 2021

Task-adaptive Relation Dependent Network for Few-shot Learning.

[BibT_eX]

[DOI]

Xi He

Proceedings of the International Joint Conference on Neural Networks, 2021

SGBMN: Symplectic Group Bayesian Manifold Network for Few-shot Classification.

[BibT_eX]

[DOI]

Jingyi Ding

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Multi-Stage Meta-Learning for Few-Shot with Lie Group Network Constraint.

[BibT_eX]

[DOI]

Fang Dong

Entropy, 2020

Survey on lie group machine learning.

[BibT_eX]

[DOI]

Mei Lu

Big Data Min. Anal., 2020

TAAN: Task-Aware Attention Network for Few-shot Classification.

[BibT_eX]

[DOI]

Zhe Wang

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Context Adaptive Metric Model for Meta-learning.

[BibT_eX]

[DOI]

Zhe Wang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

MultiSpectralNet: Spectral Clustering Using Deep Neural Network for Multi-View Data.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2019

Multi-view clustering via spectral embedding fusion.

[BibT_eX]

[DOI]

Soft Comput., 2019

Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

A comprehensive multi-objective approach of service selection for service processes with twofold restrictions.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2019

Persistent Transportation Traffic Volume Estimation with Differential Privacy.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE SmartWorld, 2019

A Novel Recommender System using Hidden Bayesian Probabilistic Model based Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Feature Selection Based on the Kullback-Leibler Distance and its Application on Fault Diagnosis.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

A Matrix-Decomposition-Based Context Tensor Approach for Personalized Travel Time Estimation.

[BibT_eX]

[DOI]

Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

2018

Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Feature weight estimation based on dynamic representation and neighbor sparse reconstruction.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Sparse Auto-encoder with Smoothed l<sub>1</sub> Regularization.

[BibT_eX]

[DOI]

Neural Process. Lett., 2018

多李群覆盖学习优化算法 (Optimization Algorithm of Multiply Lie Group Covering Learning Algorithm).

[BibT_eX]

[DOI]

Luhui Wu

计算机科学, 2018

Lie group impression for deep learning.

[BibT_eX]

[DOI]

Inf. Process. Lett., 2018

Deep learning algorithm with visual impression.

[BibT_eX]

[DOI]

Inf. Process. Lett., 2018

Business value-aware task scheduling for hybrid IaaS cloud.

[BibT_eX]

[DOI]

Helan Liang

Yanhua Du

Decis. Support Syst., 2018

Applying 1-norm SVM with squared loss to gene selection for cancer classification.

[BibT_eX]

[DOI]

Appl. Intell., 2018

Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis.

[BibT_eX]

[DOI]

Appl. Intell., 2018

Feature clustering based support vector machine recursive feature elimination for gene selection.

[BibT_eX]

[DOI]

Appl. Intell., 2018

Nonnegative and Adaptive Multi-view Clustering.

[BibT_eX]

[DOI]

Peng Zou

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Multi-Source Clustering based on spectral recovery.

[BibT_eX]

[DOI]

Hongwei Yin

Proceedings of the 24th International Conference on Pattern Recognition, 2018

MSSVT: Multi-scale feature extraction for single face recognition.

[BibT_eX]

[DOI]

Xiaoxiang Xu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

A Novel Model for Multi-label Image Annotation.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Graph Embedding-Based Ensemble Learning for Image Clustering.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Spectral Embedded Clustering on Multi-Manifold.

[BibT_eX]

[DOI]

Shuning Huang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Robust Multi-view Features Fusion Method Based on CNMF.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

Unsupervised Ensemble Learning Based on Graph Embedding for Image Clustering.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Robust Neighborhood Preserving Projection by Nuclear/L2, 1-Norm Regularization for Image Feature Extraction.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2017

Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Decision pyramid classifier for face recognition under complex variations using single sample per person.

[BibT_eX]

[DOI]

Pattern Recognit., 2017

Spectral clustering based on similarity and dissimilarity criterion.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2017

Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization.

[BibT_eX]

[DOI]

Neural Networks, 2017

Discriminative clustering on manifold for adaptive transductive classification.

[BibT_eX]

[DOI]

Neural Networks, 2017

Projective label propagation by label embedding: A deep label prediction framework for representation and classification.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

Supervised orthogonal discriminant projection based on double adjacency graphs for image classification.

[BibT_eX]

[DOI]

Bangjun Wang

IET Image Process., 2017

Supervised sparse neighbourhood preserving embedding.

[BibT_eX]

[DOI]

IET Image Process., 2017

An Altered Kernel Transformation for Time Series Classification.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Low-Frequency Representation for Face Recognition.

[BibT_eX]

[DOI]

Bangjun Wang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Robust Projective Dictionary Learning by Joint Label Embedding and Classification.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

2016

Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2016

Constrained neighborhood preserving concept factorization for data representation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2016

Semi-supervised concept factorization for document clustering.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Discriminative Sparse Coding by Nuclear Norm-Driven Semi-Supervised Dictionary Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016

Latent label consistent K-SVD for joint machine faults representation and classification.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

Joint nuclear-norm nonlinear Manifold Learning and robust Classification by linear embedding.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Robust L1-norm matrixed locality preserving projection for discriminative subspace learning.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Sparse Auto-encoder with Smoothed l_1 Regularization.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Hidden Space Neighbourhood Component Analysis for Cancer Classification.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Time Series Classification Based on Multi-codebook Important Time Subsequence Approximation Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Nuclear-norm regularized neighborhood preserving projection.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

An Efficient Task Assignment Mechanism for Crowdsensing Systems.

[BibT_eX]

[DOI]

Proceedings of the Cloud Computing and Security - Second International Conference, 2016

2015

Bilinear Embedding Label Propagation: Towards Scalable Prediction of Image Labels.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2015

Kernel sparse representation-based classifier ensemble for face recognition.

[BibT_eX]

[DOI]

Weida Zhou

Multim. Tools Appl., 2015

Bilinear low-rank coding framework and extension for robust image recovery and feature representation.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2015

Object recognition via contextual color attention.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2015

A fast gene selection method for multi-cancer classification using multiple support vector data description.

[BibT_eX]

[DOI]

J. Biomed. Informatics, 2015

Learning similarity with cosine similarity ensemble.

[BibT_eX]

[DOI]

Peipei Xia

Inf. Sci., 2015

Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images.

[BibT_eX]

[DOI]

Neurocomputing, 2015

Supervised locally linear embedding algorithm based on orthogonal matching pursuit.

[BibT_eX]

[DOI]

IET Image Process., 2015

Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2015

Spectrum Allocation Mechanisms in Wireless Networks with Performance Guarantee.

[BibT_eX]

[DOI]

Ad Hoc Sens. Wirel. Networks, 2015

Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation.

[BibT_eX]

[DOI]

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Semi-supervised label consistent dictionary learning for machine fault classification.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

L1-Norm Driven Semi-supervised Local Discriminant Projection for Robust Image Representation.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015

Projective Label Propagation by Label Embedding.

[BibT_eX]

[DOI]

Proceedings of the Computer Analysis of Images and Patterns, 2015

2014

Robust bilinear matrix recovery by Tensor Low-Rank Representation.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Transformed Neighborhood Propagation.

[BibT_eX]

[DOI]

Zhao Zhang

Ming-Bo Zhao

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Sparse signal reconstruction using decomposition algorithm.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2013

Iterated time series prediction with multiple support vector regression models.

[BibT_eX]

[DOI]

Neurocomputing, 2013

2012

Kernel Sparse Representation-Based Classifier.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Cascaded cluster ensembles.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2012

2011

The Estimation Algorithm of Laplacian Eigenvalues for the Tangent Bundle.

[BibT_eX]

[DOI]

Mengxuan Dong

Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

Dynamic Fuzzy Semisupervised Multitask Learning.

[BibT_eX]

[DOI]

Meiyin Dai

Proceedings of the Seventh International Conference on Computational Intelligence and Security, 2011

2010

Research on Mapping Mechanism of Learning Expression.

[BibT_eX]

[DOI]

Lili Zhou

Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

2009

Categorical Description of Dynamic Fuzzy Logic Programming Language.

[BibT_eX]

[DOI]

Xiaofen Han

J. Softw., 2009

DSA Image Fusion Based on Dynamic Fuzzy Logic and Curvelet Entropy.

[BibT_eX]

[DOI]

J. Multim., 2009

2007

Autonomic Learning Model and Algorithm Based on DFL.

[BibT_eX]

[DOI]

Jing Wang

Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

A Symmetrical Linear Transform Learning Algorithm on Quantum Group.

[BibT_eX]

[DOI]

Shuping He

Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

A Model of Context Awareness Agent System Based on Dynamic Fuzzy Logic.

[BibT_eX]

[DOI]

Yu Zhang

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

Research of the Symplectic Group Classifier Based on Lie Group Machine Learning.

[BibT_eX]

[DOI]

Huixin Fu

Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006

Denotational semantics of dynamic fuzzy logic programming language.

[BibT_eX]

[DOI]

Xiaofang Zhao

Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

Lie group machine learning's axiom hypothesizes.

[BibT_eX]

[DOI]

Huan Xu

Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

Default assumption reasoning based on DFL.

[BibT_eX]

[DOI]

Jin Huang

Proceedings of the 2006 IEEE International Conference on Granular Computing, 2006

2005

The design and application of dynamic fuzzy expert database system.

[BibT_eX]

[DOI]

Yanqin Zhu

Yuemei Hu

Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

A multi-agent learning model based on dynamic fuzzy logic.

[BibT_eX]

[DOI]

Li-ping Xie

Proceedings of the 2005 IEEE International Conference on Granular Computing, 2005

The design of an autonomic computing model and the algorithm for decision-making.

[BibT_eX]

[DOI]

Fei Wang