The design of an autonomic computing model and the algorithm for decision-making. - Fei Wang; Fanzhang Li (GrC, 2005)

A multi-agent learning model based on dynamic fuzzy logic. - Li-ping Xie; Fanzhang Li (GrC, 2005)

The design and application of dynamic fuzzy expert database system. - Yanqin Zhu; Fanzhang Li; Yuemei Hu (GrC, 2005)

Default assumption reasoning based on DFL. - Jin Huang; Fanzhang Li (GrC, 2006)

Lie group machine learning's axiom hypothesizes. - Huan Xu; Fanzhang Li (GrC, 2006)

Denotational semantics of dynamic fuzzy logic programming language. - Xiaofang Zhao; Fanzhang Li (GrC, 2006)

Research of the Symplectic Group Classifier Based on Lie Group Machine Learning. - Huixin Fu; Fanzhang Li (FSKD (1), 2007)

A Model of Context Awareness Agent System Based on Dynamic Fuzzy Logic. - Yu Zhang; Fanzhang Li (FSKD (1), 2007)

A Symmetrical Linear Transform Learning Algorithm on Quantum Group. - Shuping He; Fanzhang Li (GrC, 2007)

Autonomic Learning Model and Algorithm Based on DFL. - Jing Wang; Fanzhang Li (GrC, 2007)

DSA Image Fusion Based on Dynamic Fuzzy Logic and Curvelet Entropy. - Guangming Zhang; Zhiming Cui; Fanzhang Li; Jian Wu 002 (J. Multim., 2009)

Categorical Description of Dynamic Fuzzy Logic Programming Language. - Xiaofen Han; Fanzhang Li (J. Softw., 2009)

Research on Mapping Mechanism of Learning Expression. - Lili Zhou; Fanzhang Li (RSKT, 2010)

Dynamic Fuzzy Semisupervised Multitask Learning. - Meiyin Dai; Fanzhang Li (CIS, 2011)

The Estimation Algorithm of Laplacian Eigenvalues for the Tangent Bundle. - Mengxuan Dong; Fanzhang Li (CIS, 2011)

Cascaded cluster ensembles. - Li Zhang 004; Xinghong Ling; Ji-Wen Yang; Xiaoqian Wang 009; Fanzhang Li (Int. J. Mach. Learn. Cybern., 2012)

Kernel Sparse Representation-Based Classifier. - Li Zhang 004; Weida Zhou; Pei-Chann Chang; Jing Liu 006; Zhe Yan; Ting Wang; Fanzhang Li (IEEE Trans. Signal Process., 2012)

Iterated time series prediction with multiple support vector regression models. - Li Zhang 004; Weida Zhou; Pei-Chann Chang; Ji-Wen Yang; Fanzhang Li (Neurocomputing, 2013)

Sparse signal reconstruction using decomposition algorithm. - Li Zhang 004; Weida Zhou; Gui-Rong Chen; Ya-Ping Lu; Fanzhang Li (Knowl. Based Syst., 2013)

Transformed Neighborhood Propagation. - Zhao Zhang 001; Fanzhang Li; Ming-Bo Zhao (ICPR, 2014)

Robust bilinear matrix recovery by Tensor Low-Rank Representation. - Zhao Zhang 001; Shuicheng Yan; Ming-Bo Zhao; Fanzhang Li (IJCNN, 2014)

Projective Label Propagation by Label Embedding. - Zhao Zhang 001; Weiming Jiang; Fanzhang Li; Li Zhang 004; Ming-Bo Zhao; Lei Jia (CAIP (2), 2015)

L1-Norm Driven Semi-supervised Local Discriminant Projection for Robust Image Representation. - Xiaoyu Wang; Zhao Zhang 001; Yu Tang; Weiming Jiang; Fanzhang Li (ICTAI, 2015)

Semi-supervised label consistent dictionary learning for machine fault classification. - Weiming Jiang; Zhao Zhang 001; Fanzhang Li; Li Zhang 004; Ming-Bo Zhao (INDIN, 2015)

Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation. - Zhao Zhang 001; Li Zhang 004; Ming-Bo Zhao; Weiming Jiang; Yuchen Liang; Fanzhang Li (ICMR, 2015)

Spectrum Allocation Mechanisms in Wireless Networks with Performance Guarantee. - Yu-e Sun; He Huang 001; Xiang-Yang Li 001; Wei Yang 011; Hongli Xu; Fanzhang Li; Liusheng Huang (Ad Hoc Sens. Wirel. Networks, 2015)

Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data. - Li Zhang 004; Liqiang Qian; Chuntao Ding; Weida Zhou; Fanzhang Li (Comput. Biol. Medicine, 2015)

Supervised locally linear embedding algorithm based on orthogonal matching pursuit. - Li Zhang 004; Yiqin Leng; Jiwen Yang; Fanzhang Li (IET Image Process., 2015)

Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images. - Zhao Zhang 001; Ming-Bo Zhao; Bing Li 007; Peng Tang; Fanzhang Li (Neurocomputing, 2015)

Learning similarity with cosine similarity ensemble. - Peipei Xia; Li Zhang 004; Fanzhang Li (Inf. Sci., 2015)

A fast gene selection method for multi-cancer classification using multiple support vector data description. - Jin Cao; Li Zhang 004; Bangjun Wang; Fanzhang Li; Jiwen Yang (J. Biomed. Informatics, 2015)

Object recognition via contextual color attention. - Jie Zhu; Jian Yu 001; Chaomurilige Wang; Fanzhang Li (J. Vis. Commun. Image Represent., 2015)

Bilinear low-rank coding framework and extension for robust image recovery and feature representation. - Zhao Zhang 001; Shuicheng Yan; Ming-Bo Zhao; Fanzhang Li (Knowl. Based Syst., 2015)

Kernel sparse representation-based classifier ensemble for face recognition. - Li Zhang 004; Weida Zhou; Fanzhang Li (Multim. Tools Appl., 2015)

Bilinear Embedding Label Propagation: Towards Scalable Prediction of Image Labels. - Yuchen Liang; Zhao Zhang 001; Weiming Jiang; Ming-Bo Zhao; Fanzhang Li (IEEE Signal Process. Lett., 2015)

An Efficient Task Assignment Mechanism for Crowdsensing Systems. - Zhuan Shi; He Huang 001; Yu-e Sun; Xiaocan Wu; Fanzhang Li; Miaomiao Tian 001 (ICCCS (2), 2016)

Nuclear-norm regularized neighborhood preserving projection. - Zhao Zhang 001; Fanzhang Li; Mingbo Zhao; Li Zhang 004; Shuicheng Yan (ICIP, 2016)

Time Series Classification Based on Multi-codebook Important Time Subsequence Approximation Algorithm. - Zhiwei Tao; Li Zhang 004; Bangjun Wang; Fanzhang Li (ICONIP (4), 2016)

Hidden Space Neighbourhood Component Analysis for Cancer Classification. - Li Zhang 004; Xiaojuan Huang; Bangjun Wang; Fanzhang Li; Zhao Zhang 001 (ICONIP (4), 2016)

Sparse Auto-encoder with Smoothed l_1 Regularization. - Li Zhang 004; Ya-Ping Lu; Zhao Zhang 001; Bangjun Wang; Fanzhang Li (ICONIP (3), 2016)

Robust L1-norm matrixed locality preserving projection for discriminative subspace learning. - Yu Tang; Zhao Zhang 001; Yan Zhang 053; Fanzhang Li (IJCNN, 2016)

Joint nuclear-norm nonlinear Manifold Learning and robust Classification by linear embedding. - Yan Zhang 053; Zhao Zhang 001; Lei Jia; Fanzhang Li (IJCNN, 2016)

Latent label consistent K-SVD for joint machine faults representation and classification. - Zhao Zhang 001; Weiming Jiang; Lei Jia; Mingbo Zhao; Fanzhang Li (INDIN, 2016)

Discriminative Sparse Coding by Nuclear Norm-Driven Semi-Supervised Dictionary Learning. - Weiming Jiang; Zhao Zhang 001; Yan Zhang 053; Fanzhang Li (PCM (1), 2016)

Semi-supervised concept factorization for document clustering. - Mei Lu; Xiang-Jun Zhao; Li Zhang 004; Fanzhang Li (Inf. Sci., 2016)

Constrained neighborhood preserving concept factorization for data representation. - Mei Lu; Li Zhang 004; Xiang-Jun Zhao; Fanzhang Li (Knowl. Based Syst., 2016)

Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification. - Weiming Jiang; Zhao Zhang 001; Fanzhang Li; Li Zhang 004; Ming-Bo Zhao; Xiaohang Jin (IEEE Trans. Ind. Informatics, 2016)

Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification. - Zhao Zhang 001; Fanzhang Li; Ming-Bo Zhao; Li Zhang 004; Shuicheng Yan (IEEE Trans. Image Process., 2016)

Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation. - Zhao Zhang 001; Fanzhang Li; Tommy W. S. Chow; Li Zhang 004; Shuicheng Yan (IEEE Trans. Signal Process., 2016)

Robust Projective Dictionary Learning by Joint Label Embedding and Classification. - Weiming Jiang; Zhao Zhang 001; Jie Qin; Mingbo Zhao; Fanzhang Li; Shuicheng Yan (ICDM Workshops, 2017)

Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation. - Xiaojuan Huang; Li Zhang 004; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (ICONIP (1), 2017)

Low-Frequency Representation for Face Recognition. - Bangjun Wang; Li Zhang 004; Fanzhang Li (ICONIP (6), 2017)

An Altered Kernel Transformation for Time Series Classification. - Yangtao Xue; Li Zhang 004; Zhiwei Tao; Bangjun Wang; Fanzhang Li (ICONIP (5), 2017)

Supervised sparse neighbourhood preserving embedding. - Liqiang Qian; Li Zhang 004; Xing Bao; Fanzhang Li; Jiwen Yang (IET Image Process., 2017)

Supervised orthogonal discriminant projection based on double adjacency graphs for image classification. - Bangjun Wang; Li Zhang 004; Fanzhang Li (IET Image Process., 2017)

Projective label propagation by label embedding: A deep label prediction framework for representation and classification. - Zhao Zhang 001; Lei Wang 124; Lei Jia; Fanzhang Li; Li Zhang 004; Mingbo Zhao (Knowl. Based Syst., 2017)

Discriminative clustering on manifold for adaptive transductive classification. - Zhao Zhang 001; Lei Jia; Min Zhang 005; Bing Li 007; Li Zhang 004; Fanzhang Li (Neural Networks, 2017)

Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization. - Zhao Zhang 001; Mingbo Zhao; Fanzhang Li; Li Zhang 004; Shuicheng Yan (Neural Networks, 2017)

Spectral clustering based on similarity and dissimilarity criterion. - Bangjun Wang; Li Zhang 004; Caili Wu; Fanzhang Li; Zhao Zhang 001 (Pattern Anal. Appl., 2017)

Decision pyramid classifier for face recognition under complex variations using single sample per person. - Tingwei Pei; Li Zhang 004; Bangjun Wang; Fanzhang Li; Zhao Zhang 001 (Pattern Recognit., 2017)

Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation. - Zhao Zhang 001; Yan Zhang 053; Fanzhang Li; Ming-Bo Zhao; Li Zhang 004; Shuicheng Yan (Pattern Recognit., 2017)

Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification. - Zhao Zhang 001; Weiming Jiang; Fanzhang Li; Mingbo Zhao; Bing Li 007; Li Zhang 004 (IEEE Trans. Ind. Informatics, 2017)

Robust Neighborhood Preserving Projection by Nuclear/L2, 1-Norm Regularization for Image Feature Extraction. - Zhao Zhang 001; Fanzhang Li; Mingbo Zhao; Li Zhang 004; Shuicheng Yan (IEEE Trans. Image Process., 2017)

Unsupervised Ensemble Learning Based on Graph Embedding for Image Clustering. - Xiaohui Luo; Li Zhang 004; Fanzhang Li; Chengxiang Hu (ICONIP (3), 2018)

Robust Multi-view Features Fusion Method Based on CNMF. - Bangjun Wang; Liu Yang; Li Zhang 004; Fanzhang Li (ICONIP (4), 2018)

Spectral Embedded Clustering on Multi-Manifold. - Shuning Huang; Li Zhang 004; Fanzhang Li (ICPR, 2018)

Graph Embedding-Based Ensemble Learning for Image Clustering. - Xiaohui Luo; Li Zhang 004; Fanzhang Li; Bangjun Wang (ICPR, 2018)

A Novel Model for Multi-label Image Annotation. - Xin-Jian Wu; Li Zhang 004; Fanzhang Li; Bangjun Wang (ICPR, 2018)

MSSVT: Multi-scale feature extraction for single face recognition. - Xiaoxiang Xu; Li Zhang 004; Fanzhang Li (ICPR, 2018)

Multi-Source Clustering based on spectral recovery. - Hongwei Yin; Fanzhang Li; Li Zhang 004 (ICPR, 2018)

Nonnegative and Adaptive Multi-view Clustering. - Peng Zou; Fanzhang Li; Li Zhang 004 (ICPR, 2018)

Feature clustering based support vector machine recursive feature elimination for gene selection. - Xiaojuan Huang; Li Zhang 004; Bangjun Wang; Fanzhang Li; Zhao Zhang 001 (Appl. Intell., 2018)

Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis. - Yangtao Xue; Li Zhang 004; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Appl. Intell., 2018)

Applying 1-norm SVM with squared loss to gene selection for cancer classification. - Li Zhang 004; Weida Zhou; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Appl. Intell., 2018)

Business value-aware task scheduling for hybrid IaaS cloud. - Helan Liang; Yanhua Du; Fanzhang Li (Decis. Support Syst., 2018)

Deep learning algorithm with visual impression. - Mengduo Yang; Fanzhang Li; Li Zhang 004; Zhao Zhang 001 (Inf. Process. Lett., 2018)

Lie group impression for deep learning. - Mengduo Yang; Fanzhang Li; Li Zhang 004; Zhao Zhang 001 (Inf. Process. Lett., 2018)

多李群覆盖学习优化算法 (Optimization Algorithm of Multiply Lie Group Covering Learning Algorithm). - Luhui Wu; Fanzhang Li; Li Zhang (计算机科学, 2018)

Sparse Auto-encoder with Smoothed l1 Regularization. - Li Zhang 004; Ya-Ping Lu; Bangjun Wang; Fanzhang Li; Zhao Zhang 001 (Neural Process. Lett., 2018)

Feature weight estimation based on dynamic representation and neighbor sparse reconstruction. - Xiaojuan Huang; Li Zhang 004; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Pattern Recognit., 2018)

Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction. - Yan Zhang 053; Zhao Zhang 001; Jie Qin; Li Zhang 004; Bing Li 007; Fanzhang Li (Pattern Recognit., 2018)

Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. - Zhao Zhang 001; Weiming Jiang; Jie Qin; Li Zhang 004; Fanzhang Li; Min Zhang 005; Shuicheng Yan (IEEE Trans. Neural Networks Learn. Syst., 2018)

Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification. - Zhao Zhang 001; Fanzhang Li; Lei Jia; Jie Qin; Li Zhang 004; Shuicheng Yan (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Matrix-Decomposition-Based Context Tensor Approach for Personalized Travel Time Estimation. - Xiaopei Li; Fanzhang Li; Xin Dai; Helan Liang (CBD, 2019)

Feature Selection Based on the Kullback-Leibler Distance and its Application on Fault Diagnosis. - Yangtao Xue; Li Zhang 004; Bangjun Wang; Fanzhang Li (CBD, 2019)

A Novel Recommender System using Hidden Bayesian Probabilistic Model based Collaborative Filtering. - Xin Dai; Fanzhang Li; Xiaopei Li; Helan Liang (IJCNN, 2019)

Persistent Transportation Traffic Volume Estimation with Differential Privacy. - Wenjian Yang; Yu-e Sun; He Huang 001; Yang Du 006; Danlei Huang; Fanzhang Li; Yonglong Luo (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

A comprehensive multi-objective approach of service selection for service processes with twofold restrictions. - Helan Liang; Yanhua Du; Ting Jiang; Fanzhang Li (Future Gener. Comput. Syst., 2019)

Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures. - Chengxiang Hu; Li Zhang 004; Bangjun Wang; Zhao Zhang 001; Fanzhang Li (Knowl. Based Syst., 2019)

Multi-view clustering via spectral embedding fusion. - Hongwei Yin; Fanzhang Li; Li Zhang 004; Zhao Zhang 001 (Soft Comput., 2019)

MultiSpectralNet: Spectral Clustering Using Deep Neural Network for Multi-View Data. - Shuning Huang; Kaoru Ota; Mianxiong Dong; Fanzhang Li (IEEE Trans. Comput. Soc. Syst., 2019)

Context Adaptive Metric Model for Meta-learning. - Zhe Wang; Fanzhang Li (ICANN (1), 2020)

TAAN: Task-Aware Attention Network for Few-shot Classification. - Zhe Wang; Li Liu 028; Fanzhang Li (ICPR, 2020)

Survey on lie group machine learning. - Mei Lu; Fanzhang Li (Big Data Min. Anal., 2020)

Multi-Stage Meta-Learning for Few-Shot with Lie Group Network Constraint. - Fang Dong; Li Liu 028; Fanzhang Li (Entropy, 2020)

SGBMN: Symplectic Group Bayesian Manifold Network for Few-shot Classification. - Jingyi Ding; Fanzhang Li (IJCNN, 2021)

Task-adaptive Relation Dependent Network for Few-shot Learning. - Xi He; Fanzhang Li; Li Liu 028 (IJCNN, 2021)

Improving Meta-Learning Classification with Prototype Enhancement. - Xiaohang Pan; Fanzhang Li; Li Liu 028 (IJCNN, 2021)

Extracting Satisfiability-Preserving Modules From the OWL RL Ontology for Efficient Reasoning. - Xiaofei Zhao; Fanzhang Li; Hongji Yang (IEEE Access, 2021)

Parallel optimization of QoS-aware big service processes with discovery of skyline services. - Helan Liang; Bincheng Ding; Yanhua Du; Fanzhang Li (Future Gener. Comput. Syst., 2021)

One-step multi-view spectral clustering by learning common and specific nonnegative embeddings. - Hongwei Yin; Wenjun Hu; Fanzhang Li; Jungang Lou (Int. J. Mach. Learn. Cybern., 2021)

Patch Mix Augmentation with Dual Encoders for Meta-Learning. - Hong Yu; Fanzhang Li (ICONIP (1), 2022)

Task-adaptive Few-shot Learning on Sphere Manifold. - Xi He; Fanzhang Li (ICPR, 2022)

Self-Challenging Mask for Cross-Domain Few-Shot Classification. - Yixiao Ma; Fanzhang Li (ICPR, 2022)

Class-wise Attention Reinforcement for Semi-supervised Meta-Learning. - Xiaohang Pan; Fanzhang Li (ICPR, 2022)

Prototype Augmentation with Dummy Samples. - Hong Yu; Fanzhang Li (ICPR, 2022)

Adaptive Metric-weight and Bias Network for Few-shot Learning. - Jiaming Wang; Fanzhang Li (SMC, 2022)

Adaptive Weights and Sample's Distribution for Few Shot Classification. - Tengyu Yang; Fanzhang Li (SMC, 2022)

Lie group continual meta learning algorithm. - Mengjuan Jiang; Fanzhang Li (Appl. Intell., 2022)

Continual meta-learning algorithm. - Mengjuan Jiang; Fanzhang Li; Li Liu 028 (Appl. Intell., 2022)

Deep Belief Network and Closed Polygonal Line for Lung Segmentation in Chest Radiographs. - Tao Peng 013; Thomas Canhao Xu; Yihuai Wang; Fanzhang Li (Comput. J., 2022)

Deeper multi-column dilated convolutional network for congested crowd understanding. - Leilei Yan; Li Zhang 004; Xiaohan Zheng; Fanzhang Li (Neural Comput. Appl., 2022)

Adaptively local consistent concept factorization for multi-view clustering. - Mei Lu; Li Zhang 004; Fanzhang Li (Soft Comput., 2022)

Conference Chair Message. - Wei Fang 001; Fanzhang Li; Shitong Wang (ICIS, 2023)

Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network. - Leilei Yan; Fanzhang Li; Xiaohan Zheng; Li Zhang 004 (CIKM, 2023)

Boosting Few-Shot Classification with Lie Group Contrastive Learning. - Feihong He; Fanzhang Li (ICANN (1), 2023)

Diversified Contrastive Learning For Few-Shot Classification. - Guangtong Lu; Fanzhang Li (ICANN (1), 2023)

Task-Aware Adversarial Feature Perturbation for Cross-Domain Few-Shot Learning. - Yixiao Ma; Fanzhang Li (ICANN (3), 2023)

RDFS(c) Schema Inconsistency Checking Based on a Key Instance and Its Query Rewriting. - Xiaofei Zhao; Fanzhang Li; Hongji Yang (IEEE Access, 2023)

PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification. - Feihong He; Gang Li; Lingyu Si; Leilei Yan; Fanzhang Li; Fuchun Sun 001 (CoRR, 2023)

A Survey on Dynamic Fuzzy Machine Learning. - Li Liu 028; Fanzhang Li (ACM Comput. Surv., 2023)

Learning fair representations for accuracy parity. - Tangkun Quan; Fei Zhu 003; Quan Liu 004; Fanzhang Li (Eng. Appl. Artif. Intell., 2023)

Discriminant space metric network for few-shot image classification. - Leilei Yan; Fanzhang Li; Li Zhang 004; Xiaohan Zheng (Appl. Intell., 2023)

A Lie group kernel learning method for medical image classification. - Li Liu 028; Haocheng Sun; Fanzhang Li (Pattern Recognit., 2023)

GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time. - Haoran Ye; Jiarui Wang 002; Helan Liang; Zhiguang Cao; Yong Li; Fanzhang Li (AAAI, 2024)

A Simple Task-Aware Contrastive Local Descriptor Selection Strategy for Few-Shot Learning Between Inter Class and Intra Class. - Qian Qiao; Yu Xie; Shaoyao Huang; Fanzhang Li (ICANN (1), 2024)

CartoonDiff: Training-free Cartoon Image Generation with Diffusion Transformer Models. - Feihong He; Gang Li; Lingyu Si; Leilei Yan; Shimeng Hou; Hongwei Dong; Fanzhang Li (ICASSP, 2024)

TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-Shot Image Classification. - Qian Qiao; Yu Xie; Ziyin Zeng; Fanzhang Li (ICASSP, 2024)

EFLLD-NET: Enhancing Few-Shot Learning with Local Descriptors. - Guangtong Lu; Weidong Du; Fanzhang Li (ICPR (3), 2024)

Adaptive Feature Representation Based On Contrastive Learning For Few-Shot Classification. - Jiajie Fang; Qian Qiao; Ziyin Zeng; Fanzhang Li (IJCNN, 2024)

TATM: Task-Adaptive Token Matching for Few-Shot Transformer. - Yuheng Li; Fanzhang Li (IJCNN, 2024)

PMGCN:Preserving Measuring Mapping Prototype Graph Calibration Network for Few-Shot Learning. - Zhengye Shen; Guangtong Lu; Qian Qiao; Fanzhang Li (MMM (1), 2024)

FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models. - Feihong He; Gang Li; Mengyuan Zhang; Leilei Yan; Lingyu Si; Fanzhang Li (CoRR, 2024)

A lie group semi-supervised FCM clustering method for image segmentation. - Haocheng Sun; Li Liu 028; Fanzhang Li (Pattern Recognit., 2024)

Taking complementary advantages: Improving exploration via double self-imitation learning in procedurally-generated environments. - Hao Lin; Yue He; Fanzhang Li; Quan Liu 004; Bangjun Wang; Fei Zhu 003 (Expert Syst. Appl., 2024)

RLUC: Strengthening robustness by attaching constraint considerations to policy network. - Jianmin Tang; Quan Liu 004; Fanzhang Li; Fei Zhu 003 (Expert Syst. Appl., 2024)

Personalized federated reinforcement learning: Balancing personalization and experience sharing via distance constraint. - Weicheng Xiong; Quan Liu 004; Fanzhang Li; Bangjun Wang; Fei Zhu 003 (Expert Syst. Appl., 2024)

Deep feature network with multi-scale fusion for highly congested crowd counting. - Leilei Yan; Li Zhang 004; Xiaohan Zheng; Fanzhang Li (Int. J. Mach. Learn. Cybern., 2024)

Advances in continual learning: A comprehensive review. - Mengjuan Jiang; Jiaqing Fan; Fanzhang Li (Expert Syst. Appl., 2025)

PrototypeFormer: Learning to explore prototype relationships for few-shot image classification. - Meijuan Su; Feihong He; Gang Li; Fanzhang Li (Neurocomputing, 2025)

S2Trans: Structured spectrum transformer for robust unsupervised video object segmentation. - Chao Zhang; Jiaqing Fan; Mengjuan Jiang; Fanzhang Li (Neurocomputing, 2025)

A Lie group Laplacian Support Vector Machine for semi-supervised learning. - Yue Zhang; Li Liu 028; Qian Qiao; Fanzhang Li (Neurocomputing, 2025)

Contrastive prototype network with prototype augmentation for few-shot classification. - Mengjuan Jiang; Jiaqing Fan; Jiangzhen He; Weidong Du; Yansong Wang; Fanzhang Li (Inf. Sci., 2025)

Contrastive prototype loss based discriminative feature network for few-shot learning. - Leilei Yan; Feihong He; Xiaohan Zheng; Li Zhang; Yiqi Zhang; Jiangzhen He; Weidong Du; Yansong Wang; Fanzhang Li (Appl. Intell., 2025)

Group equivariant learning for few-shot image classification. - Meijuan Su; LeiLei Yan; Fanzhang Li (Appl. Intell., 2025)

Enhancing few-shot class-incremental learning through prototype optimization. - Mengjuan Jiang; Jiaqing Fan; Fanzhang Li (Appl. Intell., 2025)

Complementarily Learning Decoupled Category-Region-Aware Prototype for Few-Shot Classification. - Jiajie Fang; Mengjuan Jiang; Jiaqing Fan; Bangjun Wang; Fanzhang Li (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Temporal-Conditional Referring Video Object Segmentation with Noise-Free Text-to-Video Diffusion Model. - Ruixin Zhang; Jiaqing Fan; Yifan Liao; Qian Qiao; Fanzhang Li (CoRR, 2025)