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2020 – today
- 2025
- [j68]Mengjuan Jiang, Jiaqing Fan, Jiangzhen He, Weidong Du, Yansong Wang, Fanzhang Li:
Contrastive prototype network with prototype augmentation for few-shot classification. Inf. Sci. 686: 121372 (2025) - 2024
- [j67]Jianmin Tang, Quan Liu, Fanzhang Li, Fei Zhu:
RLUC: Strengthening robustness by attaching constraint considerations to policy network. Expert Syst. Appl. 237(Part B): 121475 (2024) - [j66]Hao Lin, Yue He, Fanzhang Li, Quan Liu, Bangjun Wang, Fei Zhu:
Taking complementary advantages: Improving exploration via double self-imitation learning in procedurally-generated environments. Expert Syst. Appl. 238(Part E): 122145 (2024) - [j65]Weicheng Xiong, Quan Liu, Fanzhang Li, Bangjun Wang, Fei Zhu:
Personalized federated reinforcement learning: Balancing personalization and experience sharing via distance constraint. Expert Syst. Appl. 238(Part F): 122290 (2024) - [j64]Leilei Yan, Li Zhang, Xiaohan Zheng, Fanzhang Li:
Deep feature network with multi-scale fusion for highly congested crowd counting. Int. J. Mach. Learn. Cybern. 15(3): 819-835 (2024) - [j63]Haocheng Sun, Li Liu, Fanzhang Li:
A lie group semi-supervised FCM clustering method for image segmentation. Pattern Recognit. 155: 110681 (2024) - [c68]Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li, Fanzhang Li:
GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time. AAAI 2024: 20284-20292 - [c67]Qian Qiao, Yu Xie, Shaoyao Huang, Fanzhang Li:
A Simple Task-Aware Contrastive Local Descriptor Selection Strategy for Few-Shot Learning Between Inter Class and Intra Class. ICANN (1) 2024: 75-88 - [c66]Qian Qiao, Yu Xie, Ziyin Zeng, Fanzhang Li:
TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-Shot Image Classification. ICASSP 2024: 3750-3754 - [c65]Feihong He, Gang Li, Lingyu Si, Leilei Yan, Shimeng Hou, Hongwei Dong, Fanzhang Li:
CartoonDiff: Training-free Cartoon Image Generation with Diffusion Transformer Models. ICASSP 2024: 3825-3829 - [c64]Jiajie Fang, Qian Qiao, Ziyin Zeng, Fanzhang Li:
Adaptive Feature Representation Based On Contrastive Learning For Few-Shot Classification. IJCNN 2024: 1-7 - [c63]Yuheng Li, Fanzhang Li:
TATM: Task-Adaptive Token Matching for Few-Shot Transformer. IJCNN 2024: 1-8 - [c62]Zhengye Shen, Guangtong Lu, Qian Qiao, Fanzhang Li:
PMGCN:Preserving Measuring Mapping Prototype Graph Calibration Network for Few-Shot Learning. MMM (1) 2024: 258-272 - [i7]Feihong He, Gang Li, Mengyuan Zhang, Leilei Yan, Lingyu Si, Fanzhang Li:
FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models. CoRR abs/2401.15636 (2024) - [i6]Qian Qiao, Yu Xie, Shaoyao Huang, Fanzhang Li:
A Simple Task-aware Contrastive Local Descriptor Selection Strategy for Few-shot Learning between inter class and intra class. CoRR abs/2408.05953 (2024) - 2023
- [j62]Xiaofei Zhao, Fanzhang Li, Hongji Yang:
RDFS(c) Schema Inconsistency Checking Based on a Key Instance and Its Query Rewriting. IEEE Access 11: 6122-6132 (2023) - [j61]Leilei Yan, Fanzhang Li, Li Zhang, Xiaohan Zheng:
Discriminant space metric network for few-shot image classification. Appl. Intell. 53(14): 17444-17459 (2023) - [j60]Li Liu, Fanzhang Li:
A Survey on Dynamic Fuzzy Machine Learning. ACM Comput. Surv. 55(7): 149:1-149:42 (2023) - [j59]Tangkun Quan, Fei Zhu, Quan Liu, Fanzhang Li:
Learning fair representations for accuracy parity. Eng. Appl. Artif. Intell. 119: 105819 (2023) - [j58]Li Liu, Haocheng Sun, Fanzhang Li:
A Lie group kernel learning method for medical image classification. Pattern Recognit. 142: 109735 (2023) - [c61]Wei Fang, Fanzhang Li, Shitong Wang:
Conference Chair Message. ICIS 2023: ix - [c60]Leilei Yan, Fanzhang Li, Xiaohan Zheng, Li Zhang:
Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network. CIKM 2023: 2887-2894 - [c59]Feihong He, Fanzhang Li:
Boosting Few-Shot Classification with Lie Group Contrastive Learning. ICANN (1) 2023: 99-111 - [c58]Guangtong Lu, Fanzhang Li:
Diversified Contrastive Learning For Few-Shot Classification. ICANN (1) 2023: 147-158 - [c57]Yixiao Ma, Fanzhang Li:
Task-Aware Adversarial Feature Perturbation for Cross-Domain Few-Shot Learning. ICANN (3) 2023: 566-578 - [e2]Yuan Liu, Roger Lee, Wei Fang, Fanzhang Li, Shitong Wang, Dongrui Wu, Yinghui Wang, Xiajun Wu:
23rd IEEE/ACIS International Conference on Computer and Information Science, ICIS 2023, Wuxi, China, June 23-25, 2023. IEEE 2023, ISBN 979-8-3503-4584-1 [contents] - [i5]Feihong He, Gang Li, Lingyu Si, Leilei Yan, Shimeng Hou, Hongwei Dong, Fanzhang Li:
Cartoondiff: Training-free Cartoon Image Generation with Diffusion Transformer Models. CoRR abs/2309.08251 (2023) - [i4]Feihong He, Gang Li, Lingyu Si, Leilei Yan, Fanzhang Li, Fuchun Sun:
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification. CoRR abs/2310.03517 (2023) - [i3]Qian Qiao, Yu Xie, Ziyin Zeng, Fanzhang Li:
TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-shot Image Classification. CoRR abs/2312.05449 (2023) - [i2]Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li, Fanzhang Li:
GLOP: Learning Global Partition and Local Construction for Solving Large-scale Routing Problems in Real-time. CoRR abs/2312.08224 (2023) - 2022
- [j57]Mengjuan Jiang, Fanzhang Li, Li Liu:
Continual meta-learning algorithm. Appl. Intell. 52(4): 4527-4542 (2022) - [j56]Mengjuan Jiang, Fanzhang Li:
Lie group continual meta learning algorithm. Appl. Intell. 52(10): 10965-10978 (2022) - [j55]Tao Peng, Thomas Canhao Xu, Yihuai Wang, Fanzhang Li:
Deep Belief Network and Closed Polygonal Line for Lung Segmentation in Chest Radiographs. Comput. J. 65(5): 1107-1128 (2022) - [j54]Leilei Yan, Li Zhang, Xiaohan Zheng, Fanzhang Li:
Deeper multi-column dilated convolutional network for congested crowd understanding. Neural Comput. Appl. 34(2): 1407-1422 (2022) - [j53]Mei Lu, Li Zhang, Fanzhang Li:
Adaptively local consistent concept factorization for multi-view clustering. Soft Comput. 26(3): 1043-1055 (2022) - [c56]Hong Yu, Fanzhang Li:
Patch Mix Augmentation with Dual Encoders for Meta-Learning. ICONIP (1) 2022: 15-26 - [c55]Xi He, Fanzhang Li:
Task-adaptive Few-shot Learning on Sphere Manifold. ICPR 2022: 2949-2956 - [c54]Yixiao Ma, Fanzhang Li:
Self-Challenging Mask for Cross-Domain Few-Shot Classification. ICPR 2022: 4456-4453 - [c53]Xiaohang Pan, Fanzhang Li:
Class-wise Attention Reinforcement for Semi-supervised Meta-Learning. ICPR 2022: 4479-4485 - [c52]Hong Yu, Fanzhang Li:
Prototype Augmentation with Dummy Samples. ICPR 2022: 5052-5059 - [c51]Tengyu Yang, Fanzhang Li:
Adaptive Weights and Sample's Distribution for Few Shot Classification. SMC 2022: 2740-2746 - [c50]Jiaming Wang, Fanzhang Li:
Adaptive Metric-weight and Bias Network for Few-shot Learning. SMC 2022: 2747-2754 - [e1]JingTao Yao, Hamido Fujita, Xiaodong Yue, Duoqian Miao, Jerzy W. Grzymala-Busse, Fanzhang Li:
Rough Sets - International Joint Conference, IJCRS 2022, Suzhou, China, November 11-14, 2022, Proceedings. Lecture Notes in Computer Science 13633, Springer 2022, ISBN 978-3-031-21243-7 [contents] - 2021
- [j52]Xiaofei Zhao, Fanzhang Li, Hongji Yang:
Extracting Satisfiability-Preserving Modules From the OWL RL Ontology for Efficient Reasoning. IEEE Access 9: 30833-30844 (2021) - [j51]Helan Liang, Bincheng Ding, Yanhua Du, Fanzhang Li:
Parallel optimization of QoS-aware big service processes with discovery of skyline services. Future Gener. Comput. Syst. 125: 496-514 (2021) - [j50]Hongwei Yin, Wenjun Hu, Fanzhang Li, Jungang Lou:
One-step multi-view spectral clustering by learning common and specific nonnegative embeddings. Int. J. Mach. Learn. Cybern. 12(7): 2121-2134 (2021) - [c49]Jingyi Ding, Fanzhang Li:
SGBMN: Symplectic Group Bayesian Manifold Network for Few-shot Classification. IJCNN 2021: 1-8 - [c48]Xi He, Fanzhang Li, Li Liu:
Task-adaptive Relation Dependent Network for Few-shot Learning. IJCNN 2021: 1-8 - [c47]Xiaohang Pan, Fanzhang Li, Li Liu:
Improving Meta-Learning Classification with Prototype Enhancement. IJCNN 2021: 1-8 - 2020
- [j49]Mei Lu, Fanzhang Li:
Survey on lie group machine learning. Big Data Min. Anal. 3(4): 235-258 (2020) - [j48]Fang Dong, Li Liu, Fanzhang Li:
Multi-Stage Meta-Learning for Few-Shot with Lie Group Network Constraint. Entropy 22(6): 625 (2020) - [c46]Zhe Wang, Fanzhang Li:
Context Adaptive Metric Model for Meta-learning. ICANN (1) 2020: 393-405 - [c45]Zhe Wang, Li Liu, Fanzhang Li:
TAAN: Task-Aware Attention Network for Few-shot Classification. ICPR 2020: 9130-9136
2010 – 2019
- 2019
- [j47]Helan Liang, Yanhua Du, Ting Jiang, Fanzhang Li:
A comprehensive multi-objective approach of service selection for service processes with twofold restrictions. Future Gener. Comput. Syst. 92: 119-140 (2019) - [j46]Chengxiang Hu, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li:
Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures. Knowl. Based Syst. 163: 811-829 (2019) - [j45]Hongwei Yin, Fanzhang Li, Li Zhang, Zhao Zhang:
Multi-view clustering via spectral embedding fusion. Soft Comput. 23(1): 343-356 (2019) - [j44]Shuning Huang, Kaoru Ota, Mianxiong Dong, Fanzhang Li:
MultiSpectralNet: Spectral Clustering Using Deep Neural Network for Multi-View Data. IEEE Trans. Comput. Soc. Syst. 6(4): 749-760 (2019) - [c44]Yangtao Xue, Li Zhang, Bangjun Wang, Fanzhang Li:
Feature Selection Based on the Kullback-Leibler Distance and its Application on Fault Diagnosis. CBD 2019: 246-251 - [c43]Xiaopei Li, Fanzhang Li, Xin Dai, Helan Liang:
A Matrix-Decomposition-Based Context Tensor Approach for Personalized Travel Time Estimation. CBD 2019: 258-265 - [c42]Xin Dai, Fanzhang Li, Xiaopei Li, Helan Liang:
A Novel Recommender System using Hidden Bayesian Probabilistic Model based Collaborative Filtering. IJCNN 2019: 1-8 - [c41]Wenjian Yang, Yu-e Sun, He Huang, Yang Du, Danlei Huang, Fanzhang Li, Yonglong Luo:
Persistent Transportation Traffic Volume Estimation with Differential Privacy. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2019: 566-573 - [i1]Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan:
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. CoRR abs/1905.11543 (2019) - 2018
- [j43]Xiaojuan Huang, Li Zhang, Bangjun Wang, Fanzhang Li, Zhao Zhang:
Feature clustering based support vector machine recursive feature elimination for gene selection. Appl. Intell. 48(3): 594-607 (2018) - [j42]Li Zhang, Weida Zhou, Bangjun Wang, Zhao Zhang, Fanzhang Li:
Applying 1-norm SVM with squared loss to gene selection for cancer classification. Appl. Intell. 48(7): 1878-1890 (2018) - [j41]Yangtao Xue, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li:
Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis. Appl. Intell. 48(10): 3306-3331 (2018) - [j40]Helan Liang, Yanhua Du, Fanzhang Li:
Business value-aware task scheduling for hybrid IaaS cloud. Decis. Support Syst. 112: 1-14 (2018) - [j39]Mengduo Yang, Fanzhang Li, Li Zhang, Zhao Zhang:
Deep learning algorithm with visual impression. Inf. Process. Lett. 136: 1-4 (2018) - [j38]Mengduo Yang, Fanzhang Li, Li Zhang, Zhao Zhang:
Lie group impression for deep learning. Inf. Process. Lett. 136: 12-16 (2018) - [j37]Luhui Wu, Fanzhang Li, Li Zhang:
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 45(1): 108-112 (2018) - [j36]Li Zhang, Ya-Ping Lu, Bangjun Wang, Fanzhang Li, Zhao Zhang:
Sparse Auto-encoder with Smoothed l1 Regularization. Neural Process. Lett. 47(3): 829-839 (2018) - [j35]Yan Zhang, Zhao Zhang, Jie Qin, Li Zhang, Bing Li, Fanzhang Li:
Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction. Pattern Recognit. 76: 662-678 (2018) - [j34]Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li:
Feature weight estimation based on dynamic representation and neighbor sparse reconstruction. Pattern Recognit. 81: 388-403 (2018) - [j33]Zhao Zhang, Fanzhang Li, Lei Jia, Jie Qin, Li Zhang, Shuicheng Yan:
Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3388-3403 (2018) - [j32]Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan:
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3798-3814 (2018) - [c40]Bangjun Wang, Liu Yang, Li Zhang, Fanzhang Li:
Robust Multi-view Features Fusion Method Based on CNMF. ICONIP (4) 2018: 27-39 - [c39]Xiaohui Luo, Li Zhang, Fanzhang Li, Chengxiang Hu:
Unsupervised Ensemble Learning Based on Graph Embedding for Image Clustering. ICONIP (3) 2018: 38-47 - [c38]Xiaohui Luo, Li Zhang, Fanzhang Li, Bangjun Wang:
Graph Embedding-Based Ensemble Learning for Image Clustering. ICPR 2018: 213-218 - [c37]Hongwei Yin, Fanzhang Li, Li Zhang:
Multi-Source Clustering based on spectral recovery. ICPR 2018: 231-236 - [c36]Shuning Huang, Li Zhang, Fanzhang Li:
Spectral Embedded Clustering on Multi-Manifold. ICPR 2018: 391-396 - [c35]Peng Zou, Fanzhang Li, Li Zhang:
Nonnegative and Adaptive Multi-view Clustering. ICPR 2018: 1247-1252 - [c34]Xinjian Wu, Li Zhang, Fanzhang Li, Bangjun Wang:
A Novel Model for Multi-label Image Annotation. ICPR 2018: 1953-1958 - [c33]Xiaoxiang Xu, Li Zhang, Fanzhang Li:
MSSVT: Multi-scale feature extraction for single face recognition. ICPR 2018: 1996-2001 - 2017
- [j31]Liqiang Qian, Li Zhang, Xing Bao, Fanzhang Li, Jiwen Yang:
Supervised sparse neighbourhood preserving embedding. IET Image Process. 11(3): 190-199 (2017) - [j30]Bangjun Wang, Li Zhang, Fanzhang Li:
Supervised orthogonal discriminant projection based on double adjacency graphs for image classification. IET Image Process. 11(11): 1050-1058 (2017) - [j29]Zhao Zhang, Lei Wang, Lei Jia, Fanzhang Li, Li Zhang, Mingbo Zhao:
Projective label propagation by label embedding: A deep label prediction framework for representation and classification. Knowl. Based Syst. 119: 94-112 (2017) - [j28]Zhao Zhang, Lei Jia, Min Zhang, Bing Li, Li Zhang, Fanzhang Li:
Discriminative clustering on manifold for adaptive transductive classification. Neural Networks 94: 260-273 (2017) - [j27]Zhao Zhang, Mingbo Zhao, Fanzhang Li, Li Zhang, Shuicheng Yan:
Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization. Neural Networks 96: 55-70 (2017) - [j26]Bangjun Wang, Li Zhang, Caili Wu, Fanzhang Li, Zhao Zhang:
Spectral clustering based on similarity and dissimilarity criterion. Pattern Anal. Appl. 20(2): 495-506 (2017) - [j25]Zhao Zhang, Yan Zhang, Fanzhang Li, Ming-Bo Zhao, Li Zhang, Shuicheng Yan:
Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation. Pattern Recognit. 61: 492-510 (2017) - [j24]Tingwei Pei, Li Zhang, Bangjun Wang, Fanzhang Li, Zhao Zhang:
Decision pyramid classifier for face recognition under complex variations using single sample per person. Pattern Recognit. 64: 305-313 (2017) - [j23]Zhao Zhang, Weiming Jiang, Fanzhang Li, Mingbo Zhao, Bing Li, Li Zhang:
Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification. IEEE Trans. Ind. Informatics 13(2): 644-656 (2017) - [j22]Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan:
Robust Neighborhood Preserving Projection by Nuclear/L2, 1-Norm Regularization for Image Feature Extraction. IEEE Trans. Image Process. 26(4): 1607-1622 (2017) - [c32]Weiming Jiang, Zhao Zhang, Jie Qin, Mingbo Zhao, Fanzhang Li, Shuicheng Yan:
Robust Projective Dictionary Learning by Joint Label Embedding and Classification. ICDM Workshops 2017: 510-517 - [c31]Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li:
Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation. ICONIP (1) 2017: 345-355 - [c30]Yangtao Xue, Li Zhang, Zhiwei Tao, Bangjun Wang, Fanzhang Li:
An Altered Kernel Transformation for Time Series Classification. ICONIP (5) 2017: 455-465 - [c29]Bangjun Wang, Li Zhang, Fanzhang Li:
Low-Frequency Representation for Face Recognition. ICONIP (6) 2017: 510-519 - 2016
- [j21]Mei Lu, Xiang-Jun Zhao, Li Zhang, Fanzhang Li:
Semi-supervised concept factorization for document clustering. Inf. Sci. 331: 86-98 (2016) - [j20]Mei Lu, Li Zhang, Xiang-Jun Zhao, Fanzhang Li:
Constrained neighborhood preserving concept factorization for data representation. Knowl. Based Syst. 102: 127-139 (2016) - [j19]Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Xiaohang Jin:
Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification. IEEE Trans. Ind. Informatics 12(1): 248-256 (2016) - [j18]Zhao Zhang, Fanzhang Li, Ming-Bo Zhao, Li Zhang, Shuicheng Yan:
Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification. IEEE Trans. Image Process. 25(6): 2429-2443 (2016) - [j17]Zhao Zhang, Fanzhang Li, Tommy W. S. Chow, Li Zhang, Shuicheng Yan:
Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation. IEEE Trans. Signal Process. 64(14): 3790-3805 (2016) - [c28]Zhuan Shi, He Huang, Yu-e Sun, Xiaocan Wu, Fanzhang Li, Miaomiao Tian:
An Efficient Task Assignment Mechanism for Crowdsensing Systems. ICCCS (2) 2016: 14-24 - [c27]Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan:
Nuclear-norm regularized neighborhood preserving projection. ICIP 2016: 56-60 - [c26]Li Zhang, Xiaojuan Huang, Bangjun Wang, Fanzhang Li, Zhao Zhang:
Hidden Space Neighbourhood Component Analysis for Cancer Classification. ICONIP (4) 2016: 44-51 - [c25]Li Zhang, Ya-Ping Lu, Zhao Zhang, Bangjun Wang, Fanzhang Li:
Sparse Auto-encoder with Smoothed l_1 Regularization. ICONIP (3) 2016: 555-563 - [c24]Zhiwei Tao, Li Zhang, Bangjun Wang, Fanzhang Li:
Time Series Classification Based on Multi-codebook Important Time Subsequence Approximation Algorithm. ICONIP (4) 2016: 582-589 - [c23]Yan Zhang, Zhao Zhang, Lei Jia, Fanzhang Li:
Joint nuclear-norm nonlinear Manifold Learning and robust Classification by linear embedding. IJCNN 2016: 3758-3764 - [c22]Yu Tang, Zhao Zhang, Yan Zhang, Fanzhang Li:
Robust L1-norm matrixed locality preserving projection for discriminative subspace learning. IJCNN 2016: 4199-4204 - [c21]Zhao Zhang, Weiming Jiang, Lei Jia, Mingbo Zhao, Fanzhang Li:
Latent label consistent K-SVD for joint machine faults representation and classification. INDIN 2016: 794-799 - [c20]Weiming Jiang, Zhao Zhang, Yan Zhang, Fanzhang Li:
Discriminative Sparse Coding by Nuclear Norm-Driven Semi-Supervised Dictionary Learning. PCM (1) 2016: 306-317 - 2015
- [j16]Yu-e Sun, He Huang, Xiang-Yang Li, Wei Yang, Hongli Xu, Fanzhang Li, Liusheng Huang:
Spectrum Allocation Mechanisms in Wireless Networks with Performance Guarantee. Ad Hoc Sens. Wirel. Networks 27(1-2): 111-134 (2015) - [j15]Li Zhang, Liqiang Qian, Chuntao Ding, Weida Zhou, Fanzhang Li:
Similarity-balanced discriminant neighbor embedding and its application to cancer classification based on gene expression data. Comput. Biol. Medicine 64: 236-245 (2015) - [j14]Li Zhang, Yiqin Leng, Jiwen Yang, Fanzhang Li:
Supervised locally linear embedding algorithm based on orthogonal matching pursuit. IET Image Process. 9(8): 626-633 (2015) - [j13]Zhao Zhang, Ming-Bo Zhao, Bing Li, Peng Tang, Fanzhang Li:
Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images. Neurocomputing 149: 1058-1073 (2015) - [j12]Peipei Xia, Li Zhang, Fanzhang Li:
Learning similarity with cosine similarity ensemble. Inf. Sci. 307: 39-52 (2015) - [j11]Jin Cao, Li Zhang, Bangjun Wang, Fanzhang Li, Jiwen Yang:
A fast gene selection method for multi-cancer classification using multiple support vector data description. J. Biomed. Informatics 53: 381-389 (2015) - [j10]Jie Zhu, Jian Yu, Chaomurilige Wang, Fanzhang Li:
Object recognition via contextual color attention. J. Vis. Commun. Image Represent. 27: 44-56 (2015) - [j9]Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao, Fanzhang Li:
Bilinear low-rank coding framework and extension for robust image recovery and feature representation. Knowl. Based Syst. 86: 143-157 (2015) - [j8]Li Zhang, Weida Zhou, Fanzhang Li:
Kernel sparse representation-based classifier ensemble for face recognition. Multim. Tools Appl. 74(1): 123-137 (2015) - [j7]Yuchen Liang, Zhao Zhang, Weiming Jiang, Ming-Bo Zhao, Fanzhang Li:
Bilinear Embedding Label Propagation: Towards Scalable Prediction of Image Labels. IEEE Signal Process. Lett. 22(12): 2411-2415 (2015) - [c19]Zhao Zhang, Weiming Jiang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Lei Jia:
Projective Label Propagation by Label Embedding. CAIP (2) 2015: 470-481 - [c18]Xiaoyu Wang, Zhao Zhang, Yu Tang, Weiming Jiang, Fanzhang Li:
L1-Norm Driven Semi-supervised Local Discriminant Projection for Robust Image Representation. ICTAI 2015: 391-397 - [c17]Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao:
Semi-supervised label consistent dictionary learning for machine fault classification. INDIN 2015: 1124-1129 - [c16]Zhao Zhang, Li Zhang, Ming-Bo Zhao, Weiming Jiang, Yuchen Liang, Fanzhang Li:
Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation. ICMR 2015: 139-146 - 2014
- [c15]Zhao Zhang, Fanzhang Li, Ming-Bo Zhao:
Transformed Neighborhood Propagation. ICPR 2014: 3792-3797 - [c14]Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao, Fanzhang Li:
Robust bilinear matrix recovery by Tensor Low-Rank Representation. IJCNN 2014: 2945-2951 - 2013
- [j6]Li Zhang, Weida Zhou, Pei-Chann Chang, Ji-Wen Yang, Fanzhang Li:
Iterated time series prediction with multiple support vector regression models. Neurocomputing 99: 411-422 (2013) - [j5]Li Zhang, Weida Zhou, Gui-Rong Chen, Ya-Ping Lu, Fanzhang Li:
Sparse signal reconstruction using decomposition algorithm. Knowl. Based Syst. 54: 172-179 (2013) - 2012
- [j4]Li Zhang, Xinghong Ling, Ji-Wen Yang, Xiaoqian Wang, Fanzhang Li:
Cascaded cluster ensembles. Int. J. Mach. Learn. Cybern. 3(4): 335-343 (2012) - [j3]Li Zhang, Weida Zhou, Pei-Chann Chang, Jing Liu, Zhe Yan, Ting Wang, Fanzhang Li:
Kernel Sparse Representation-Based Classifier. IEEE Trans. Signal Process. 60(4): 1684-1695 (2012) - 2011
- [c13]Meiyin Dai, Fanzhang Li:
Dynamic Fuzzy Semisupervised Multitask Learning. CIS 2011: 450-454 - [c12]Mengxuan Dong, Fanzhang Li:
The Estimation Algorithm of Laplacian Eigenvalues for the Tangent Bundle. CIS 2011: 492-496 - 2010
- [c11]Lili Zhou, Fanzhang Li:
Research on Mapping Mechanism of Learning Expression. RSKT 2010: 298-303
2000 – 2009
- 2009
- [j2]Guangming Zhang, Zhiming Cui, Fanzhang Li, Jian Wu:
DSA Image Fusion Based on Dynamic Fuzzy Logic and Curvelet Entropy. J. Multim. 4(3): 129-136 (2009) - [j1]Xiaofen Han, Fanzhang Li:
Categorical Description of Dynamic Fuzzy Logic Programming Language. J. Softw. 4(1): 19-25 (2009) - 2007
- [c10]Yu Zhang, Fanzhang Li:
A Model of Context Awareness Agent System Based on Dynamic Fuzzy Logic. FSKD (1) 2007: 555-561 - [c9]Huixin Fu, Fanzhang Li:
Research of the Symplectic Group Classifier Based on Lie Group Machine Learning. FSKD (1) 2007: 649-654 - [c8]Jing Wang, Fanzhang Li:
Autonomic Learning Model and Algorithm Based on DFL. GrC 2007: 259-264 - [c7]Shuping He, Fanzhang Li:
A Symmetrical Linear Transform Learning Algorithm on Quantum Group. GrC 2007: 724-727 - 2006
- [c6]Huan Xu, Fanzhang Li:
Lie group machine learning's axiom hypothesizes. GrC 2006: 401-404 - [c5]Xiaofang Zhao, Fanzhang Li:
Denotational semantics of dynamic fuzzy logic programming language. GrC 2006: 409-412 - [c4]Jin Huang, Fanzhang Li:
Default assumption reasoning based on DFL. GrC 2006: 413-416 - 2005
- [c3]Fei Wang, Fanzhang Li:
The design of an autonomic computing model and the algorithm for decision-making. GrC 2005: 270-273 - [c2]Li-ping Xie, Fanzhang Li:
A multi-agent learning model based on dynamic fuzzy logic. GrC 2005: 310-313 - [c1]Yanqin Zhu, Fanzhang Li, Yuemei Hu:
The design and application of dynamic fuzzy expert database system. GrC 2005: 378-381
Coauthor Index
aka: Mingbo Zhao
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
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last updated on 2024-10-30 21:34 CET by the dblp team
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