| 2026 | AAAI | F2SST: Frequency-to-Spatial Semantic Transfer for Few-Shot Image Classification. | Xueyi Chen, Bangjun Wang, Jiaqing Fan, Li Zhang, Fanzhang Li |
| 2026 | AAAI | Training-Free Spatio-temporal Decoupled Reasoning Video Segmentation with Adaptive Object Memory. | Zhengtong Zhu, Jiaqing Fan, Zhixuan Liu, Fanzhang Li |
| 2025 | KSEM | Ant Colony Sampling with Mixture of Experts for Combinatorial Optimization. | Renjie Wang, Helan Liang, Fanzhang Li |
| 2024 | AAAI | GLOP: Learning Global Partition and Local Construction for Solving Large-Scale Routing Problems in Real-Time. | Haoran Ye, Jiarui Wang, Helan Liang, Zhiguang Cao, Yong Li, Fanzhang Li |
| 2024 | ICANN | 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 |
| 2024 | ICASSP | CartoonDiff: Training-free Cartoon Image Generation with Diffusion Transformer Models. | Feihong He, Gang Li, Lingyu Si, Leilei Yan, Shimeng Hou, Hongwei Dong, Fanzhang Li |
| 2024 | ICASSP | TALDS-Net: Task-Aware Adaptive Local Descriptors Selection for Few-Shot Image Classification. | Qian Qiao, Yu Xie, Ziyin Zeng, Fanzhang Li |
| 2024 | ICPR | EFLLD-NET: Enhancing Few-Shot Learning with Local Descriptors. | Guangtong Lu, Weidong Du, Fanzhang Li |
| 2024 | IJCNN | Adaptive Feature Representation Based On Contrastive Learning For Few-Shot Classification. | Jiajie Fang, Qian Qiao, Ziyin Zeng, Fanzhang Li |
| 2024 | IJCNN | TATM: Task-Adaptive Token Matching for Few-Shot Transformer. | Yuheng Li, Fanzhang Li |
| 2024 | MMM | PMGCN:Preserving Measuring Mapping Prototype Graph Calibration Network for Few-Shot Learning. | Zhengye Shen, Guangtong Lu, Qian Qiao, Fanzhang Li |
| 2023 | CIKM | Few-Shot Learning via Task-Aware Discriminant Local Descriptors Network. | Leilei Yan, Fanzhang Li, Xiaohan Zheng, Li Zhang |
| 2023 | ICANN | Boosting Few-Shot Classification with Lie Group Contrastive Learning. | Feihong He, Fanzhang Li |
| 2023 | ICANN | Diversified Contrastive Learning For Few-Shot Classification. | Guangtong Lu, Fanzhang Li |
| 2023 | ICANN | Task-Aware Adversarial Feature Perturbation for Cross-Domain Few-Shot Learning. | Yixiao Ma, Fanzhang Li |
| 2022 | ICONIP | Patch Mix Augmentation with Dual Encoders for Meta-Learning. | Hong Yu, Fanzhang Li |
| 2022 | ICPR | Task-adaptive Few-shot Learning on Sphere Manifold. | Xi He, Fanzhang Li |
| 2022 | ICPR | Self-Challenging Mask for Cross-Domain Few-Shot Classification. | Yixiao Ma, Fanzhang Li |
| 2022 | ICPR | Class-wise Attention Reinforcement for Semi-supervised Meta-Learning. | Xiaohang Pan, Fanzhang Li |
| 2022 | ICPR | Prototype Augmentation with Dummy Samples. | Hong Yu, Fanzhang Li |
| 2022 | SMC | Adaptive Metric-weight and Bias Network for Few-shot Learning. | Jiaming Wang, Fanzhang Li |
| 2022 | SMC | Adaptive Weights and Sample's Distribution for Few Shot Classification. | Tengyu Yang, Fanzhang Li |
| 2021 | IJCNN | SGBMN: Symplectic Group Bayesian Manifold Network for Few-shot Classification. | Jingyi Ding, Fanzhang Li |
| 2021 | IJCNN | Task-adaptive Relation Dependent Network for Few-shot Learning. | Xi He, Fanzhang Li, Li Liu |
| 2021 | IJCNN | Improving Meta-Learning Classification with Prototype Enhancement. | Xiaohang Pan, Fanzhang Li, Li Liu |
| 2020 | ICANN | Context Adaptive Metric Model for Meta-learning. | Zhe Wang, Fanzhang Li |
| 2020 | ICPR | TAAN: Task-Aware Attention Network for Few-shot Classification. | Zhe Wang, Li Liu, Fanzhang Li |
| 2019 | IJCNN | A Novel Recommender System using Hidden Bayesian Probabilistic Model based Collaborative Filtering. | Xin Dai, Fanzhang Li, Xiaopei Li, Helan Liang |
| 2019 | UIC | Persistent Transportation Traffic Volume Estimation with Differential Privacy. | Wenjian Yang, Yu-e Sun, He Huang, Yang Du, Danlei Huang, Fanzhang Li, Yonglong Luo |
| 2018 | ICONIP | Unsupervised Ensemble Learning Based on Graph Embedding for Image Clustering. | Xiaohui Luo, Li Zhang, Fanzhang Li, Chengxiang Hu |
| 2018 | ICONIP | Robust Multi-view Features Fusion Method Based on CNMF. | Bangjun Wang, Liu Yang, Li Zhang, Fanzhang Li |
| 2018 | ICPR | Spectral Embedded Clustering on Multi-Manifold. | Shuning Huang, Li Zhang, Fanzhang Li |
| 2018 | ICPR | Graph Embedding-Based Ensemble Learning for Image Clustering. | Xiaohui Luo, Li Zhang, Fanzhang Li, Bangjun Wang |
| 2018 | ICPR | A Novel Model for Multi-label Image Annotation. | Xin-Jian Wu, Li Zhang, Fanzhang Li, Bangjun Wang |
| 2018 | ICPR | MSSVT: Multi-scale feature extraction for single face recognition. | Xiaoxiang Xu, Li Zhang, Fanzhang Li |
| 2018 | ICPR | Multi-Source Clustering based on spectral recovery. | Hongwei Yin, Fanzhang Li, Li Zhang |
| 2018 | ICPR | Nonnegative and Adaptive Multi-view Clustering. | Peng Zou, Fanzhang Li, Li Zhang |
| 2017 | ICDM | Robust Projective Dictionary Learning by Joint Label Embedding and Classification. | Weiming Jiang, Zhao Zhang, Jie Qin, Mingbo Zhao, Fanzhang Li, Shuicheng Yan |
| 2017 | ICONIP | Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation. | Xiaojuan Huang, Li Zhang, Bangjun Wang, Zhao Zhang, Fanzhang Li |
| 2017 | ICONIP | Low-Frequency Representation for Face Recognition. | Bangjun Wang, Li Zhang, Fanzhang Li |
| 2017 | ICONIP | An Altered Kernel Transformation for Time Series Classification. | Yangtao Xue, Li Zhang, Zhiwei Tao, Bangjun Wang, Fanzhang Li |
| 2016 | ICIP | Nuclear-norm regularized neighborhood preserving projection. | Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan |
| 2016 | ICONIP | Time Series Classification Based on Multi-codebook Important Time Subsequence Approximation Algorithm. | Zhiwei Tao, Li Zhang, Bangjun Wang, Fanzhang Li |
| 2016 | ICONIP | Hidden Space Neighbourhood Component Analysis for Cancer Classification. | Li Zhang, Xiaojuan Huang, Bangjun Wang, Fanzhang Li, Zhao Zhang |
| 2016 | ICONIP | Sparse Auto-encoder with Smoothed l_1 Regularization. | Li Zhang, Ya-Ping Lu, Zhao Zhang, Bangjun Wang, Fanzhang Li |
| 2016 | IJCNN | Robust L1-norm matrixed locality preserving projection for discriminative subspace learning. | Yu Tang, Zhao Zhang, Yan Zhang, Fanzhang Li |
| 2016 | IJCNN | Joint nuclear-norm nonlinear Manifold Learning and robust Classification by linear embedding. | Yan Zhang, Zhao Zhang, Lei Jia, Fanzhang Li |
| 2016 | INDIN | Latent label consistent K-SVD for joint machine faults representation and classification. | Zhao Zhang, Weiming Jiang, Lei Jia, Mingbo Zhao, Fanzhang Li |
| 2015 | CAIP | Projective Label Propagation by Label Embedding. | Zhao Zhang, Weiming Jiang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Lei Jia |
| 2015 | INDIN | Semi-supervised label consistent dictionary learning for machine fault classification. | Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao |
| 2015 | ICTAI | L1-Norm Driven Semi-supervised Local Discriminant Projection for Robust Image Representation. | Xiaoyu Wang, Zhao Zhang, Yu Tang, Weiming Jiang, Fanzhang Li |
| 2014 | ICPR | Transformed Neighborhood Propagation. | Zhao Zhang, Fanzhang Li, Ming-Bo Zhao |
| 2014 | IJCNN | Robust bilinear matrix recovery by Tensor Low-Rank Representation. | Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao, Fanzhang Li |
| 2011 | CIS | Dynamic Fuzzy Semisupervised Multitask Learning. | Meiyin Dai, Fanzhang Li |
| 2011 | CIS | The Estimation Algorithm of Laplacian Eigenvalues for the Tangent Bundle. | Mengxuan Dong, Fanzhang Li |
| 2007 | GRC | A Symmetrical Linear Transform Learning Algorithm on Quantum Group. | Shuping He, Fanzhang Li |
| 2007 | GRC | Autonomic Learning Model and Algorithm Based on DFL. | Jing Wang, Fanzhang Li |
| 2006 | GRC | Default assumption reasoning based on DFL. | Jin Huang, Fanzhang Li |
| 2006 | GRC | Lie group machine learning's axiom hypothesizes. | Huan Xu, Fanzhang Li |
| 2006 | GRC | Denotational semantics of dynamic fuzzy logic programming language. | Xiaofang Zhao, Fanzhang Li |
| 2005 | GRC | The design of an autonomic computing model and the algorithm for decision-making. | Fei Wang, Fanzhang Li |
| 2005 | GRC | A multi-agent learning model based on dynamic fuzzy logic. | Li-ping Xie, Fanzhang Li |
| 2005 | GRC | The design and application of dynamic fuzzy expert database system. | Yanqin Zhu, Fanzhang Li, Yuemei Hu |