Fanzhang Li - RankMe

165 papers A* 4A 1B 26C 6Misc 10Journal 88Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	F2SST: Frequency-to-Spatial Semantic Transfer for Few-Shot Image Classification. AAAI Xueyi Chen, Bangjun Wang, Jiaqing Fan, Li Zhang, Fanzhang Li
2026	J	`jnl`	Joint distribution alignment on Lie group manifolds for domain adaptation. Pattern Recognit. Da Liu, Li Liu, Fanzhang Li, Jiangzhen He
2026	J	`jnl`	Learning discriminative prototypes: Adaptive relation-aware refinement and patch-level contextual feature reweighting for few-shot classification. Neural Networks Mengjuan Jiang, Fanzhang Li
2026	A*	`conf`	Training-Free Spatio-temporal Decoupled Reasoning Video Segmentation with Adaptive Object Memory. AAAI Zhengtong Zhu, Jiaqing Fan, Zhixuan Liu, Fanzhang Li
2026	J	`jnl`	Training-Free Spatio-temporal Decoupled Reasoning Video Segmentation with Adaptive Object Memory. CoRR Zhengtong Zhu, Jiaqing Fan, Zhixuan Liu, Fanzhang Li
2025	J	`jnl`	A Lie group Laplacian Support Vector Machine for semi-supervised learning. Neurocomputing Yue Zhang, Li Liu, Qian Qiao, Fanzhang Li
2025	J	`jnl`	A Multi-Object Tracking Method with an Unscented Kalman Filter on a Lie Group Manifold. Entropy Xinyu Wang, Li Liu, Fanzhang Li
2025	J	`jnl`	Advances in continual learning: A comprehensive review. Expert Syst. Appl. Mengjuan Jiang, Jiaqing Fan, Fanzhang Li
2025	—	`conf`	Ant Colony Sampling with Mixture of Experts for Combinatorial Optimization. KSEM (2) Renjie Wang, Helan Liang, Fanzhang Li
2025	J	`jnl`	Complementarily Learning Decoupled Category-Region-Aware Prototype for Few-Shot Classification. ACM Trans. Multim. Comput. Commun. Appl. Jiajie Fang, Mengjuan Jiang, Jiaqing Fan, Bangjun Wang, Fanzhang Li
2025	J	`jnl`	Contrastive prototype loss based discriminative feature network for few-shot learning. Appl. Intell. Leilei Yan, Feihong He, Xiaohan Zheng, Li Zhang, Yiqi Zhang, Jiangzhen He, Weidong Du, Yansong Wang, Fanzhang Li
2025	J	`jnl`	Contrastive prototype network with prototype augmentation for few-shot classification. Inf. Sci. Mengjuan Jiang, Jiaqing Fan, Jiangzhen He, Weidong Du, Yansong Wang, Fanzhang Li
2025	J	`jnl`	Enhancing few-shot class-incremental learning through prototype optimization. Appl. Intell. Mengjuan Jiang, Jiaqing Fan, Fanzhang Li
2025	—	`conf`	Foundational and Specialized Continual Learning for Unsupervised Video Object Segmentation via Lie Group Structural Adapter. PRCV (11) Hanwen Qian, Jiaqing Fan, Fanzhang Li
2025	—	`conf`	Graph Laplacian Regularized Referring Video Object Segmentation with Bayesian Neural Network Uncertainty Quantification. PRCV (11) Yifan Liao, Jiaqing Fan, Fanzhang Li
2025	J	`jnl`	Group equivariant learning for few-shot image classification. Appl. Intell. Meijuan Su, Leilei Yan, Fanzhang Li
2025	A*	`conf`	PeriodVOS: Learning Periodic Patterns for Unsupervised Video Object Segmentation via Adaptive Contextual Coupling. ACM Multimedia Jiaqing Fan, Hanwen Qian, Mengjuan Jiang, Fanzhang Li
2025	J	`jnl`	PrototypeFormer: Learning to explore prototype relationships for few-shot image classification. Neurocomputing Meijuan Su, Feihong He, Gang Li, Fanzhang Li
2025	J	`jnl`	S2Trans: Structured spectrum transformer for robust unsupervised video object segmentation. Neurocomputing Chao Zhang, Jiaqing Fan, Mengjuan Jiang, Fanzhang Li
2025	J	`jnl`	Temporal-Conditional Referring Video Object Segmentation with Noise-Free Text-to-Video Diffusion Model. CoRR Ruixin Zhang, Jiaqing Fan, Yifan Liao, Qian Qiao, Fanzhang Li
2024	—	`conf`	A Simple Task-Aware Contrastive Local Descriptor Selection Strategy for Few-Shot Learning Between Inter Class and Intra Class. ICANN (1) Qian Qiao, Yu Xie, Shaoyao Huang, Fanzhang Li
2024	J	`jnl`	A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class. CoRR Qian Qiao, Yu Xie, Shaoyao Huang, Fanzhang Li
2024	J	`jnl`	A lie group semi-supervised FCM clustering method for image segmentation. Pattern Recognit. Haocheng Sun, Li Liu, Fanzhang Li
2024	B	`conf`	Adaptive Feature Representation Based On Contrastive Learning For Few-Shot Classification. IJCNN Jiajie Fang, Qian Qiao, Ziyin Zeng, Fanzhang Li
2024	Misc	`conf`	CartoonDiff: Training-free Cartoon Image Generation with Diffusion Transformer Models. ICASSP Feihong He, Gang Li, Lingyu Si, Leilei Yan, Shimeng Hou, Hongwei Dong, Fanzhang Li
2024	J	`jnl`	Deep feature network with multi-scale fusion for highly congested crowd counting. Int. J. Mach. Learn. Cybern. Leilei Yan, Li Zhang, Xiaohan Zheng, Fanzhang Li
2024	—	`conf`	EFLLD-NET: Enhancing Few-Shot Learning with Local Descriptors. ICPR (3) Guangtong Lu, Weidong Du, Fanzhang Li
2024	J	`jnl`	FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models. CoRR Feihong He, Gang Li, Mengyuan Zhang, Leilei Yan, Lingyu Si, Fanzhang Li
2024	A*	`conf`	GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time. AAAI Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li, Fanzhang Li
2024	—	`conf`	PMGCN:Preserving Measuring Mapping Prototype Graph Calibration Network for Few-Shot Learning. MMM (1) Zhengye Shen, Guangtong Lu, Qian Qiao, Fanzhang Li
2024	J	`jnl`	Personalized federated reinforcement learning: Balancing personalization and experience sharing via distance constraint. Expert Syst. Appl. Weicheng Xiong, Quan Liu, Fanzhang Li, Bangjun Wang, Fei Zhu
2024	J	`jnl`	RLUC: Strengthening robustness by attaching constraint considerations to policy network. Expert Syst. Appl. Jianmin Tang, Quan Liu, Fanzhang Li, Fei Zhu
2024	Misc	`conf`	TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-Shot Image Classification. ICASSP Qian Qiao, Yu Xie, Ziyin Zeng, Fanzhang Li
2024	B	`conf`	TATM: Task-Adaptive Token Matching for Few-Shot Transformer. IJCNN Yuheng Li, Fanzhang Li
2024	J	`jnl`	Taking complementary advantages: Improving exploration via double self-imitation learning in procedurally-generated environments. Expert Syst. Appl. Hao Lin, Yue He, Fanzhang Li, Quan Liu, Bangjun Wang, Fei Zhu
2023	C	`ed.`	23rd IEEE/ACIS International Conference on Computer and Information Science, ICIS 2023, Wuxi, China, June 23-25, 2023 ICIS Yuan Liu, Roger Lee, Wei Fang, Fanzhang Li, Shitong Wang, Dongrui Wu, Yinghui Wang, Xiajun Wu
2023	J	`jnl`	A Lie group kernel learning method for medical image classification. Pattern Recognit. Li Liu, Haocheng Sun, Fanzhang Li
2023	J	`jnl`	A Survey on Dynamic Fuzzy Machine Learning. ACM Comput. Surv. Li Liu, Fanzhang Li
2023	—	`conf`	Boosting Few-Shot Classification with Lie Group Contrastive Learning. ICANN (1) Feihong He, Fanzhang Li
2023	J	`jnl`	Cartoondiff: Training-free Cartoon Image Generation with Diffusion Transformer Models. CoRR Feihong He, Gang Li, Lingyu Si, Leilei Yan, Shimeng Hou, Hongwei Dong, Fanzhang Li
2023	C	`conf`	Conference Chair Message. ICIS Wei Fang, Fanzhang Li, Shitong Wang
2023	J	`jnl`	Discriminant space metric network for few-shot image classification. Appl. Intell. Leilei Yan, Fanzhang Li, Li Zhang, Xiaohan Zheng
2023	—	`conf`	Diversified Contrastive Learning For Few-Shot Classification. ICANN (1) Guangtong Lu, Fanzhang Li
2023	A	`conf`	Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network. CIKM Leilei Yan, Fanzhang Li, Xiaohan Zheng, Li Zhang
2023	J	`jnl`	GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time. CoRR Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li, Fanzhang Li
2023	J	`jnl`	Learning fair representations for accuracy parity. Eng. Appl. Artif. Intell. Tangkun Quan, Fei Zhu, Quan Liu, Fanzhang Li
2023	J	`jnl`	PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification. CoRR Feihong He, Gang Li, Lingyu Si, Leilei Yan, Fanzhang Li, Fuchun Sun
2023	J	`jnl`	RDFS IEEE Access Xiaofei Zhao, Fanzhang Li, Hongji Yang
2023	J	`jnl`	TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-shot Image Classification. CoRR Qian Qiao, Yu Xie, Ziyin Zeng, Fanzhang Li
2023	—	`conf`	Task-Aware Adversarial Feature Perturbation for Cross-Domain Few-Shot Learning. ICANN (3) Yixiao Ma, Fanzhang Li
2022	B	`conf`	Adaptive Metric-weight and Bias Network for Few-shot Learning. SMC Jiaming Wang, Fanzhang Li
2022	B	`conf`	Adaptive Weights and Sample's Distribution for Few Shot Classification. SMC Tengyu Yang, Fanzhang Li
2022	J	`jnl`	Adaptively local consistent concept factorization for multi-view clustering. Soft Comput. Mei Lu, Li Zhang, Fanzhang Li
2022	B	`conf`	Class-wise Attention Reinforcement for Semi-supervised Meta-Learning. ICPR Xiaohang Pan, Fanzhang Li
2022	J	`jnl`	Continual meta-learning algorithm. Appl. Intell. Mengjuan Jiang, Fanzhang Li, Li Liu
2022	J	`jnl`	Deep Belief Network and Closed Polygonal Line for Lung Segmentation in Chest Radiographs. Comput. J. Tao Peng, Thomas Canhao Xu, Yihuai Wang, Fanzhang Li
2022	J	`jnl`	Deeper multi-column dilated convolutional network for congested crowd understanding. Neural Comput. Appl. Leilei Yan, Li Zhang, Xiaohan Zheng, Fanzhang Li
2022	J	`jnl`	Lie group continual meta learning algorithm. Appl. Intell. Mengjuan Jiang, Fanzhang Li
2022	—	`conf`	Patch Mix Augmentation with Dual Encoders for Meta-Learning. ICONIP (1) Hong Yu, Fanzhang Li
2022	B	`conf`	Prototype Augmentation with Dummy Samples. ICPR Hong Yu, Fanzhang Li
2022	—	`ed.`	Rough Sets - International Joint Conference, IJCRS 2022, Suzhou, China, November 11-14, 2022, Proceedings IJCRS JingTao Yao, Hamido Fujita, Xiaodong Yue, Duoqian Miao, Jerzy W. Grzymala-Busse, Fanzhang Li
2022	B	`conf`	Self-Challenging Mask for Cross-Domain Few-Shot Classification. ICPR Yixiao Ma, Fanzhang Li
2022	B	`conf`	Task-adaptive Few-shot Learning on Sphere Manifold. ICPR Xi He, Fanzhang Li
2021	J	`jnl`	Extracting Satisfiability-Preserving Modules From the OWL RL Ontology for Efficient Reasoning. IEEE Access Xiaofei Zhao, Fanzhang Li, Hongji Yang
2021	B	`conf`	Improving Meta-Learning Classification with Prototype Enhancement. IJCNN Xiaohang Pan, Fanzhang Li, Li Liu
2021	J	`jnl`	One-step multi-view spectral clustering by learning common and specific nonnegative embeddings. Int. J. Mach. Learn. Cybern. Hongwei Yin, Wenjun Hu, Fanzhang Li, Jungang Lou
2021	J	`jnl`	Parallel optimization of QoS-aware big service processes with discovery of skyline services. Future Gener. Comput. Syst. Helan Liang, Bincheng Ding, Yanhua Du, Fanzhang Li
2021	B	`conf`	SGBMN: Symplectic Group Bayesian Manifold Network for Few-shot Classification. IJCNN Jingyi Ding, Fanzhang Li
2021	B	`conf`	Task-adaptive Relation Dependent Network for Few-shot Learning. IJCNN Xi He, Fanzhang Li, Li Liu
2020	—	`conf`	Context Adaptive Metric Model for Meta-learning. ICANN (1) Zhe Wang, Fanzhang Li
2020	J	`jnl`	Multi-Stage Meta-Learning for Few-Shot with Lie Group Network Constraint. Entropy Fang Dong, Li Liu, Fanzhang Li
2020	J	`jnl`	Survey on lie group machine learning. Big Data Min. Anal. Mei Lu, Fanzhang Li
2020	B	`conf`	TAAN: Task-Aware Attention Network for Few-shot Classification. ICPR Zhe Wang, Li Liu, Fanzhang Li
2019	—	`conf`	A Matrix-Decomposition-Based Context Tensor Approach for Personalized Travel Time Estimation. CBD Xiaopei Li, Fanzhang Li, Xin Dai, Helan Liang
2019	B	`conf`	A Novel Recommender System using Hidden Bayesian Probabilistic Model based Collaborative Filtering. IJCNN Xin Dai, Fanzhang Li, Xiaopei Li, Helan Liang
2019	J	`jnl`	A comprehensive multi-objective approach of service selection for service processes with twofold restrictions. Future Gener. Comput. Syst. Helan Liang, Yanhua Du, Ting Jiang, Fanzhang Li
2019	—	`conf`	Feature Selection Based on the Kullback-Leibler Distance and its Application on Fault Diagnosis. CBD Yangtao Xue, Li Zhang, Bangjun Wang, Fanzhang Li
2019	J	`jnl`	Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures. Knowl. Based Syst. Chengxiang Hu, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li
2019	J	`jnl`	Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. CoRR Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan
2019	J	`jnl`	Multi-view clustering via spectral embedding fusion. Soft Comput. Hongwei Yin, Fanzhang Li, Li Zhang, Zhao Zhang
2019	J	`jnl`	MultiSpectralNet: Spectral Clustering Using Deep Neural Network for Multi-View Data. IEEE Trans. Comput. Soc. Syst. Shuning Huang, Kaoru Ota, Mianxiong Dong, Fanzhang Li
2019	—	`conf`	Persistent Transportation Traffic Volume Estimation with Differential Privacy. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Wenjian Yang, Yu-e Sun, He Huang, Yang Du, Danlei Huang, Fanzhang Li, Yonglong Luo
2018	B	`conf`	A Novel Model for Multi-label Image Annotation. ICPR Xin-Jian Wu, Li Zhang, Fanzhang Li, Bangjun Wang
2018	J	`jnl`	Applying 1-norm SVM with squared loss to gene selection for cancer classification. Appl. Intell. Li Zhang, Weida Zhou, Bangjun Wang, Zhao Zhang, Fanzhang Li
2018	J	`jnl`	Business value-aware task scheduling for hybrid IaaS cloud. Decis. Support Syst. Helan Liang, Yanhua Du, Fanzhang Li
2018	J	`jnl`	Deep learning algorithm with visual impression. Inf. Process. Lett. Mengduo Yang, Fanzhang Li, Li Zhang, Zhao Zhang
2018	J	`jnl`	Feature clustering based support vector machine recursive feature elimination for gene selection. Appl. Intell. Xiaojuan Huang, Li Zhang, Bangjun Wang, Fanzhang Li, Zhao Zhang
2018	J	`jnl`	Feature weight estimation based on dynamic representation and neighbor sparse reconstruction. Pattern Recognit. Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li
2018	B	`conf`	Graph Embedding-Based Ensemble Learning for Image Clustering. ICPR Xiaohui Luo, Li Zhang, Fanzhang Li, Bangjun Wang
2018	J	`jnl`	Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. IEEE Trans. Neural Networks Learn. Syst. Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan
2018	J	`jnl`	Lie group impression for deep learning. Inf. Process. Lett. Mengduo Yang, Fanzhang Li, Li Zhang, Zhao Zhang
2018	B	`conf`	MSSVT: Multi-scale feature extraction for single face recognition. ICPR Xiaoxiang Xu, Li Zhang, Fanzhang Li
2018	B	`conf`	Multi-Source Clustering based on spectral recovery. ICPR Hongwei Yin, Fanzhang Li, Li Zhang
2018	J	`jnl`	Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis. Appl. Intell. Yangtao Xue, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li
2018	B	`conf`	Nonnegative and Adaptive Multi-view Clustering. ICPR Peng Zou, Fanzhang Li, Li Zhang
2018	J	`jnl`	Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification. IEEE Trans. Neural Networks Learn. Syst. Zhao Zhang, Fanzhang Li, Lei Jia, Jie Qin, Li Zhang, Shuicheng Yan
2018	—	`conf`	Robust Multi-view Features Fusion Method Based on CNMF. ICONIP (4) Bangjun Wang, Liu Yang, Li Zhang, Fanzhang Li
2018	J	`jnl`	Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction. Pattern Recognit. Yan Zhang, Zhao Zhang, Jie Qin, Li Zhang, Bing Li, Fanzhang Li
2018	J	`jnl`	Sparse Auto-encoder with Smoothed l Neural Process. Lett. Li Zhang, Ya-Ping Lu, Bangjun Wang, Fanzhang Li, Zhao Zhang
2018	B	`conf`	Spectral Embedded Clustering on Multi-Manifold. ICPR Shuning Huang, Li Zhang, Fanzhang Li
2018	—	`conf`	Unsupervised Ensemble Learning Based on Graph Embedding for Image Clustering. ICONIP (3) Xiaohui Luo, Li Zhang, Fanzhang Li, Chengxiang Hu
2018	J	`jnl`	多李群覆盖学习优化算法 (Optimization Algorithm of Multiply Lie Group Covering Learning Algorithm). 计算机科学 Luhui Wu, Fanzhang Li, Li Zhang
2017	—	`conf`	An Altered Kernel Transformation for Time Series Classification. ICONIP (5) Yangtao Xue, Li Zhang, Zhiwei Tao, Bangjun Wang, Fanzhang Li
2017	J	`jnl`	Decision pyramid classifier for face recognition under complex variations using single sample per person. Pattern Recognit. Tingwei Pei, Li Zhang, Bangjun Wang, Fanzhang Li, Zhao Zhang
2017	J	`jnl`	Discriminative clustering on manifold for adaptive transductive classification. Neural Networks Zhao Zhang, Lei Jia, Min Zhang, Bing Li, Li Zhang, Fanzhang Li
2017	J	`jnl`	Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation. Pattern Recognit. Zhao Zhang, Yan Zhang, Fanzhang Li, Ming-Bo Zhao, Li Zhang, Shuicheng Yan
2017	—	`conf`	Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation. ICONIP (1) Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li
2017	—	`conf`	Low-Frequency Representation for Face Recognition. ICONIP (6) Bangjun Wang, Li Zhang, Fanzhang Li
2017	J	`jnl`	Projective label propagation by label embedding: A deep label prediction framework for representation and classification. Knowl. Based Syst. Zhao Zhang, Lei Wang, Lei Jia, Fanzhang Li, Li Zhang, Mingbo Zhao
2017	J	`jnl`	Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization. Neural Networks Zhao Zhang, Mingbo Zhao, Fanzhang Li, Li Zhang, Shuicheng Yan
2017	J	`jnl`	Robust Neighborhood Preserving Projection by Nuclear/L2, 1-Norm Regularization for Image Feature Extraction. IEEE Trans. Image Process. Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan
2017	—	`conf`	Robust Projective Dictionary Learning by Joint Label Embedding and Classification. ICDM Workshops Weiming Jiang, Zhao Zhang, Jie Qin, Mingbo Zhao, Fanzhang Li, Shuicheng Yan
2017	J	`jnl`	Spectral clustering based on similarity and dissimilarity criterion. Pattern Anal. Appl. Bangjun Wang, Li Zhang, Caili Wu, Fanzhang Li, Zhao Zhang
2017	J	`jnl`	Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification. IEEE Trans. Ind. Informatics Zhao Zhang, Weiming Jiang, Fanzhang Li, Mingbo Zhao, Bing Li, Li Zhang
2017	J	`jnl`	Supervised orthogonal discriminant projection based on double adjacency graphs for image classification. IET Image Process. Bangjun Wang, Li Zhang, Fanzhang Li
2017	J	`jnl`	Supervised sparse neighbourhood preserving embedding. IET Image Process. Liqiang Qian, Li Zhang, Xing Bao, Fanzhang Li, Jiwen Yang
2016	—	`conf`	An Efficient Task Assignment Mechanism for Crowdsensing Systems. ICCCS (2) Zhuan Shi, He Huang, Yu-e Sun, Xiaocan Wu, Fanzhang Li, Miaomiao Tian
2016	J	`jnl`	Constrained neighborhood preserving concept factorization for data representation. Knowl. Based Syst. Mei Lu, Li Zhang, Xiang-Jun Zhao, Fanzhang Li
2016	—	`conf`	Discriminative Sparse Coding by Nuclear Norm-Driven Semi-Supervised Dictionary Learning. PCM (1) Weiming Jiang, Zhao Zhang, Yan Zhang, Fanzhang Li
2016	—	`conf`	Hidden Space Neighbourhood Component Analysis for Cancer Classification. ICONIP (4) Li Zhang, Xiaojuan Huang, Bangjun Wang, Fanzhang Li, Zhao Zhang
2016	J	`jnl`	Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification. IEEE Trans. Ind. Informatics Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Xiaohang Jin
2016	J	`jnl`	Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification. IEEE Trans. Image Process. Zhao Zhang, Fanzhang Li, Ming-Bo Zhao, Li Zhang, Shuicheng Yan
2016	B	`conf`	Joint nuclear-norm nonlinear Manifold Learning and robust Classification by linear embedding. IJCNN Yan Zhang, Zhao Zhang, Lei Jia, Fanzhang Li
2016	C	`conf`	Latent label consistent K-SVD for joint machine faults representation and classification. INDIN Zhao Zhang, Weiming Jiang, Lei Jia, Mingbo Zhao, Fanzhang Li
2016	B	`conf`	Nuclear-norm regularized neighborhood preserving projection. ICIP Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan
2016	B	`conf`	Robust L1-norm matrixed locality preserving projection for discriminative subspace learning. IJCNN Yu Tang, Zhao Zhang, Yan Zhang, Fanzhang Li
2016	J	`jnl`	Semi-supervised concept factorization for document clustering. Inf. Sci. Mei Lu, Xiang-Jun Zhao, Li Zhang, Fanzhang Li
2016	—	`conf`	Sparse Auto-encoder with Smoothed l_1 Regularization. ICONIP (3) Li Zhang, Ya-Ping Lu, Zhao Zhang, Bangjun Wang, Fanzhang Li
2016	J	`jnl`	Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation. IEEE Trans. Signal Process. Zhao Zhang, Fanzhang Li, Tommy W. S. Chow, Li Zhang, Shuicheng Yan
2016	—	`conf`	Time Series Classification Based on Multi-codebook Important Time Subsequence Approximation Algorithm. ICONIP (4) Zhiwei Tao, Li Zhang, Bangjun Wang, Fanzhang Li
2015	J	`jnl`	A fast gene selection method for multi-cancer classification using multiple support vector data description. J. Biomed. Informatics Jin Cao, Li Zhang, Bangjun Wang, Fanzhang Li, Jiwen Yang
2015	J	`jnl`	Bilinear Embedding Label Propagation: Towards Scalable Prediction of Image Labels. IEEE Signal Process. Lett. Yuchen Liang, Zhao Zhang, Weiming Jiang, Ming-Bo Zhao, Fanzhang Li
2015	J	`jnl`	Bilinear low-rank coding framework and extension for robust image recovery and feature representation. Knowl. Based Syst. Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao, Fanzhang Li
2015	J	`jnl`	Kernel sparse representation-based classifier ensemble for face recognition. Multim. Tools Appl. Li Zhang, Weida Zhou, Fanzhang Li
2015	B	`conf`	L1-Norm Driven Semi-supervised Local Discriminant Projection for Robust Image Representation. ICTAI Xiaoyu Wang, Zhao Zhang, Yu Tang, Weiming Jiang, Fanzhang Li
2015	J	`jnl`	Learning similarity with cosine similarity ensemble. Inf. Sci. Peipei Xia, Li Zhang, Fanzhang Li
2015	J	`jnl`	Object recognition via contextual color attention. J. Vis. Commun. Image Represent. Jie Zhu, Jian Yu, Chaomurilige Wang, Fanzhang Li
2015	—	`conf`	Projective Label Propagation by Label Embedding. CAIP (2) Zhao Zhang, Weiming Jiang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Lei Jia
2015	B	`conf`	Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation. ICMR Zhao Zhang, Li Zhang, Ming-Bo Zhao, Weiming Jiang, Yuchen Liang, Fanzhang Li
2015	C	`conf`	Semi-supervised label consistent dictionary learning for machine fault classification. INDIN Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao
2015	J	`jnl`	Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data. Comput. Biol. Medicine Li Zhang, Liqiang Qian, Chuntao Ding, Weida Zhou, Fanzhang Li
2015	J	`jnl`	Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images. Neurocomputing Zhao Zhang, Ming-Bo Zhao, Bing Li, Peng Tang, Fanzhang Li
2015	J	`jnl`	Spectrum Allocation Mechanisms in Wireless Networks with Performance Guarantee. Ad Hoc Sens. Wirel. Networks Yu-e Sun, He Huang, Xiang-Yang Li, Wei Yang, Hongli Xu, Fanzhang Li, Liusheng Huang
2015	J	`jnl`	Supervised locally linear embedding algorithm based on orthogonal matching pursuit. IET Image Process. Li Zhang, Yiqin Leng, Jiwen Yang, Fanzhang Li
2014	B	`conf`	Robust bilinear matrix recovery by Tensor Low-Rank Representation. IJCNN Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao, Fanzhang Li
2014	B	`conf`	Transformed Neighborhood Propagation. ICPR Zhao Zhang, Fanzhang Li, Ming-Bo Zhao
2013	J	`jnl`	Iterated time series prediction with multiple support vector regression models. Neurocomputing Li Zhang, Weida Zhou, Pei-Chann Chang, Ji-Wen Yang, Fanzhang Li
2013	J	`jnl`	Sparse signal reconstruction using decomposition algorithm. Knowl. Based Syst. Li Zhang, Weida Zhou, Gui-Rong Chen, Ya-Ping Lu, Fanzhang Li
2012	J	`jnl`	Cascaded cluster ensembles. Int. J. Mach. Learn. Cybern. Li Zhang, Xinghong Ling, Ji-Wen Yang, Xiaoqian Wang, Fanzhang Li
2012	J	`jnl`	Kernel Sparse Representation-Based Classifier. IEEE Trans. Signal Process. Li Zhang, Weida Zhou, Pei-Chann Chang, Jing Liu, Zhe Yan, Ting Wang, Fanzhang Li
2011	C	`conf`	Dynamic Fuzzy Semisupervised Multitask Learning. CIS Meiyin Dai, Fanzhang Li
2011	C	`conf`	The Estimation Algorithm of Laplacian Eigenvalues for the Tangent Bundle. CIS Mengxuan Dong, Fanzhang Li
2010	—	`conf`	Research on Mapping Mechanism of Learning Expression. RSKT Lili Zhou, Fanzhang Li
2009	J	`jnl`	Categorical Description of Dynamic Fuzzy Logic Programming Language. J. Softw. Xiaofen Han, Fanzhang Li
2009	J	`jnl`	DSA Image Fusion Based on Dynamic Fuzzy Logic and Curvelet Entropy. J. Multim. Guangming Zhang, Zhiming Cui, Fanzhang Li, Jian Wu
2007	—	`conf`	A Model of Context Awareness Agent System Based on Dynamic Fuzzy Logic. FSKD (1) Yu Zhang, Fanzhang Li
2007	Misc	`conf`	A Symmetrical Linear Transform Learning Algorithm on Quantum Group. GrC Shuping He, Fanzhang Li
2007	Misc	`conf`	Autonomic Learning Model and Algorithm Based on DFL. GrC Jing Wang, Fanzhang Li
2007	—	`conf`	Research of the Symplectic Group Classifier Based on Lie Group Machine Learning. FSKD (1) Huixin Fu, Fanzhang Li
2006	Misc	`conf`	Default assumption reasoning based on DFL. GrC Jin Huang, Fanzhang Li
2006	Misc	`conf`	Denotational semantics of dynamic fuzzy logic programming language. GrC Xiaofang Zhao, Fanzhang Li
2006	Misc	`conf`	Lie group machine learning's axiom hypothesizes. GrC Huan Xu, Fanzhang Li
2005	Misc	`conf`	A multi-agent learning model based on dynamic fuzzy logic. GrC Li-ping Xie, Fanzhang Li
2005	Misc	`conf`	The design and application of dynamic fuzzy expert database system. GrC Yanqin Zhu, Fanzhang Li, Yuemei Hu
2005	Misc	`conf`	The design of an autonomic computing model and the algorithm for decision-making. GrC Fei Wang, Fanzhang Li