Enriched white matter connectivity networks for accurate identification of MCI patients. - Chong-Yaw Wee; Pew-Thian Yap; Wenbin Li 006; Kevin Denny; Jeffrey N. Browndyke; Guy G. Potter; Kathleen Welsh-Bohmer; Lihong Wang; Dinggang Shen (NeuroImage, 2011)

Interactive image segmentation via cascaded metric learning. - Wenbin Li 006; Yinghuan Shi; Wanqi Yang; Hao Wang 013; Yang Gao 001 (ICIP, 2015)

Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. - Yinghuan Shi; Wenbin Li 006; Yang Gao 001; Longbing Cao; Dinggang Shen (AAAI, 2017)

WebCaricature: a benchmark for caricature face recognition. - Jing Huo; Wenbin Li 006; Yinghuan Shi; Yang Gao 001; Hujun Yin (CoRR, 2017)

A Joint Local and Global Deep Metric Learning Method for Caricature Recognition. - Wenbin Li 006; Jing Huo; Yinghuan Shi; Yang Gao 001; Lei Wang 001; Jiebo Luo 001 (ACCV (4), 2018)

WebCaricature: a benchmark for caricature recognition. - Jing Huo; Wenbin Li 006; Yinghuan Shi; Yang Gao 001; Hujun Yin (BMVC, 2018)

A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images. - Minglin Ma; Yinghuan Shi; Wenbin Li 006; Yang Gao 001; Jun Xu (ICPR, 2018)

Online Deep Metric Learning. - Wenbin Li 006; Jing Huo; Yinghuan Shi; Yang Gao 001; Lei Wang 001; Jiebo Luo 001 (CoRR, 2018)

OPML: A one-pass closed-form solution for online metric learning. - Wenbin Li 006; Yang Gao 001; Lei Wang 001; Luping Zhou; Jing Huo; Yinghuan Shi (Pattern Recognit., 2018)

Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning. - Wenbin Li 006; Jinglin Xu; Jing Huo; Lei Wang 001; Yang Gao 001; Jiebo Luo 001 (AAAI, 2019)

Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning. - Wenbin Li 006; Lei Wang 001; Jinglin Xu; Jing Huo; Yang Gao 001; Jiebo Luo 001 (CVPR, 2019)

Defensive Few-shot Adversarial Learning. - Wenbin Li 006; Lei Wang 001; Xingxing Zhang; Jing Huo; Yang Gao 001; Jiebo Luo 001 (CoRR, 2019)

Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio. - Xiao Liu; Wenbin Li 006; Jing Huo; Lili Yao; Yang Gao 001 (AAAI, 2020)

Deep Embedded Complementary and Interactive Information for Multi-View Classification. - Jinglin Xu; Wenbin Li 006; Xinwang Liu; Dingwen Zhang; Ji Liu; Junwei Han 001 (AAAI, 2020)

Learning Task-aware Local Representations for Few-shot Learning. - Chuanqi Dong; Wenbin Li 006; Jing Huo; Zheng Gu 001; Yang Gao 001 (IJCAI, 2020)

Asymmetric Distribution Measure for Few-shot Learning. - Wenbin Li 006; Lei Wang 001; Jing Huo; Yinghuan Shi; Yang Gao 001; Jiebo Luo 001 (IJCAI, 2020)

Biased Feature Learning for Occlusion Invariant Face Recognition. - Changbin Shao; Jing Huo; Lei Qi 001; Zhenhua Feng 001; Wenbin Li 006; Chuanqi Dong; Yang Gao 001 (IJCAI, 2020)

Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification. - Jinglin Xu; Xiangsen Zhang; Wenbin Li 006; Xinwang Liu; Junwei Han 001 (IJCAI, 2020)

Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification. - Wei Zhu 015; Haofu Liao; Wenbin Li 006; Weijian Li 001; Jiebo Luo 001 (MICCAI (6), 2020)

Unsupervised Few-shot Learning via Distribution Shift-based Augmentation. - Tiexin Qin; Wenbin Li 006; Yinghuan Shi; Yang Gao 001 (CoRR, 2020)

Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning. - Jinglin Xu; Wenbin Li 006; Jiantao Shen; Xinwang Liu; Peicheng Zhou; Xiangsen Zhang; Xiwen Yao; Junwei Han 001 (CoRR, 2020)

Robust neighborhood embedding for unsupervised feature selection. - Yanfang Liu; Dongyi Ye; Wenbin Li 006; Huihui Wang; Yang Gao 001 (Knowl. Based Syst., 2020)

CariGAN: Caricature generation through weakly paired adversarial learning. - Wenbin Li 006; Wei Xiong 008; Haofu Liao; Jing Huo; Yang Gao 001; Jiebo Luo 001 (Neural Networks, 2020)

LoFGAN: Fusing Local Representations for Few-shot Image Generation. - Zheng Gu 001; Wenbin Li 006; Jing Huo; Lei Wang 001; Yang Gao 001 (ICCV, 2021)

Manifold Alignment for Semantically Aligned Style Transfer. - Jing Huo; Shiyin Jin; Wenbin Li 006; Jing Wu 004; Yu-Kun Lai; Yinghuan Shi; Yang Gao 001 (ICCV, 2021)

Triplet is All You Need with Random Mappings for Unsupervised Visual Representation Learning. - Wenbin Li 006; Xuesong Yang; Meihao Kong; Lei Wang 001; Jing Huo; Yang Gao 001; Jiebo Luo 001 (CoRR, 2021)

Local descriptor-based multi-prototype network for few-shot Learning. - Hongwei Huang; Zhangkai Wu; Wenbin Li 006; Jing Huo; Yang Gao 001 (Pattern Recognit., 2021)

Temperature network for few-shot learning with distribution-aware large-margin metric. - Wei Zhu 015; Wenbin Li 006; Haofu Liao; Jiebo Luo 001 (Pattern Recognit., 2021)

Uncertainty-Based Network for Few-Shot Image Classification. - Minglei Yuan; Qian Xu; Chunhao Cai; Yin-Dong Zheng; Tao Wang 052; Tong Lu; Wenbin Li 006 (ICME, 2022)

Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation. - Xiao Liu; Shuyang Liu; Wenbin Li 006; Shangdong Yang; Yang Gao 001 (CoRR, 2022)

Playing Lottery Tickets in Style Transfer Models. - Meihao Kong; Jing Huo; Wenbin Li 006; Jing Wu 004; Yu-Kun Lai; Yang Gao 001 (CoRR, 2022)

Learning Credit Assignment for Cooperative Reinforcement Learning. - Wubing Chen; Wenbin Li 006; Xiao Liu; Shangdong Yang (CoRR, 2022)

A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix. - Wenbin Li 006; Meihao Kong; Xuesong Yang; Lei Wang 001; Jing Huo; Yang Gao 001; Jiebo Luo 001 (CoRR, 2022)

Confidence-weighted Learning for Feature Evolution. - Yanfang Liu; Wenbin Li 006; Yang Gao 001 (Int. J. Softw. Informatics, 2022)

CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation. - Jing Huo; Xiangde Liu; Wenbin Li 006; Yang Gao 001; Hujun Yin; Jiebo Luo 001 (IEEE Trans. Image Process., 2022)

CariMe: Unpaired Caricature Generation With Multiple Exaggerations. - Zheng Gu 001; Chuanqi Dong; Jing Huo; Wenbin Li 006; Yang Gao 001 (IEEE Trans. Multim., 2022)

Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning. - Pinzhuo Tian; Wenbin Li 006; Yang Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient. - Wubing Chen; Wenbin Li 006; Xiao Liu; Shangdong Yang; Yang Gao 001 (AAAI, 2023)

TiLD: Third-person Imitation Learning by Estimating Domain Cognitive Differences of Visual Demonstrations. - Zixuan Chen; Wenbin Li 006; Yang Gao 001; Yiyu Chen (AAMAS, 2023)

Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery. - Wenbin Li 006; Zhichen Fan; Jing Huo; Yang Gao 001 (CVPR, 2023)

Convergence Analysis of Graphical Game-Based Nash Q-Learning using the Interaction Detection Signal of N-Step Return. - Yunkai Zhuang; Shangdong Yang; Wenbin Li 006; Yang Gao 001 (ICASSP, 2023)

Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. - Yanqi Bao; Yuxin Li; Jing Huo; Tianyu Ding; Xinyue Liang; Wenbin Li 006; Yang Gao 001 (ACM Multimedia, 2023)

Efficient Subgame Refinement for Extensive-form Games. - Zhenxing Ge; Zheng Xu; Tianyu Ding; Wenbin Li 006; Yang Gao 001 (NeurIPS, 2023)

Efficient Last-iterate Convergence Algorithms in Solving Games. - Linjian Meng; Zhenxing Ge; Wenbin Li 006; Bo An 001; Yang Gao 001 (CoRR, 2023)

Effective Interpretable Policy Distillation via Critical Experience Point Identification. - Xiao Liu; Shuyang Liu; Bo An 001; Yang Gao 001; Shangdong Yang; Wenbin Li 006 (IEEE Intell. Syst., 2023)

Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings. - Wenbin Li 006; Xuesong Yang; Meihao Kong; Lei Wang 001; Jing Huo; Yang Gao 001; Jiebo Luo 001 (Trans. Mach. Learn. Res., 2023)

Defensive Few-Shot Learning. - Wenbin Li 006; Lei Wang 001; Xingxing Zhang; Lei Qi 001; Jing Huo; Yang Gao 001; Jiebo Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Global- and local-aware feature augmentation with semantic orthogonality for few-shot image classification. - Boyao Shi; Wenbin Li 006; Jing Huo; Pengfei Zhu; Lei Wang 001; Yang Gao 001 (Pattern Recognit., 2023)

A Multilayer Framework for Online Metric Learning. - Wenbin Li 006; Yanfang Liu; Jing Huo; Yinghuan Shi; Yang Gao 001; Lei Wang 001; Jiebo Luo 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Online Passive-Aggressive Active Learning for Trapezoidal Data Streams. - Yanfang Liu; Xiaocong Fan; Wenbin Li 006; Yang Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

LibFewShot: A Comprehensive Library for Few-Shot Learning. - Wenbin Li 006; Ziyi Wang; Xuesong Yang; Chuanqi Dong; Pinzhuo Tian; Tiexin Qin; Jing Huo; Yinghuan Shi; Lei Wang 001; Yang Gao 001; Jiebo Luo 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation. - Wenxiao Deng; Wenbin Li 006; Tianyu Ding; Lei Wang 001; Hongguang Zhang; Kuihua Huang; Jing Huo; Yang Gao 001 (CVPR, 2024)

Dynamic Replay Training for Class-Incremental Learning. - Yan Yang; Dongdong Ren; Chenglei Peng; Jing Huo; Wenbin Li 006; Yang Gao 001 (ICASSP, 2024)

InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. - Yanqi Bao; Tianyu Ding; Jing Huo; Wenbin Li 006; Yuxin Li; Yang Gao 001 (ICLR, 2024)

Safe and Robust Subgame Exploitation in Imperfect Information Games. - Zhenxing Ge; Zheng Xu; Tianyu Ding; Linjian Meng; Bo An 001; Wenbin Li 006; Yang Gao 001 (ICML, 2024)

Rare Fungi Image Classification Based on Few-Shot Learning and Data Augmentation. - Jiayi Hao; Yulin Feng; Wenbin Li 006; Jiebo Luo 001 (ICPR (16), 2024)

Task-Aware Few-Shot Image Generation via Dynamic Local Distribution Estimation and Sampling. - Zheng Gu 001; Wenbin Li 006; Tianyu Ding; Zhengli Wang; Jing Huo; Kuihua Huang; Yang Gao 001 (PRCV (2), 2024)

Making the Primary Task Primary: Boosting Few-Shot Classification by Gradient-Biased Multi-task Learning. - Yunchen Wu; Boyao Shi; Jing Huo; Wenbin Li 006; Yang Gao 001; Hao Liu; Yunhao Wang; Tinghao Yu (PRCV (1), 2024)

Zero-Shot Video Editing through Adaptive Sliding Score Distillation. - Lianghan Zhu; Yanqi Bao; Jing Huo; Jing Wu 004; Yu-Kun Lai; Wenbin Li 006; Yang Gao 001 (CoRR, 2024)

Towards efficient image and video style transfer via distillation and learnable feature transformation. - Jing Huo; Meihao Kong; Wenbin Li 006; Jing Wu 004; Yu-Kun Lai; Yang Gao 001 (Comput. Vis. Image Underst., 2024)

Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning. - Shaokang Dong; Chao Li; Shangdong Yang; Bo An 001; Wenbin Li 006; Yang Gao 001 (Neural Networks, 2024)

Attention-based investigation and solution to the trade-off issue of adversarial training. - Changbin Shao; Wenbin Li 006; Jing Huo; Zhenhua Feng 001; Yang Gao 001 (Neural Networks, 2024)

WToE: Learning When to Explore in Multiagent Reinforcement Learning. - Shaokang Dong; Hangyu Mao; Shangdong Yang; Shengyu Zhu 001; Wenbin Li 006; Jianye Hao; Yang Gao 001 (IEEE Trans. Cybern., 2024)

Learning Multi-Intersection Traffic Signal Control via Coevolutionary Multi-Agent Reinforcement Learning. - Wubing Chen; Shangdong Yang; Wenbin Li 006; Yujing Hu; Xiao Liu; Yang Gao 001 (IEEE Trans. Intell. Transp. Syst., 2024)

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP. - Yayuan Li; Jintao Guo; Lei Qi 001; Wenbin Li 006; Yinghuan Shi (AAAI, 2025)

Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration. - Yiyang Chen; Tianyu Ding; Lei Wang 001; Jing Huo; Yang Gao 001; Wenbin Li 006 (CVPR, 2025)

Coordinating Multi-Agent Reinforcement Learning via Dual Collaborative Constraints. - Chao Li; Shaokang Dong; Shangdong Yang; Yujing Hu; Wenbin Li 006; Yang Gao 001 (Neural Networks, 2025)

Leveraging Frequency Analysis for Image Denoising Network Pruning. - Dongdong Ren; Wenbin Li 006; Jing Huo; Lei Wang 001; Hongbing Pan; Yang Gao 001 (IEEE Trans. Image Process., 2025)

Robust Dataset Distillation by Matching Adversarial Trajectories. - Wei Lai; Tianyu Ding; Dongdong Ren; Lei Wang 001; Jing Huo; Yang Gao 001; Wenbin Li 006 (CoRR, 2025)

Adapting In-Domain Few-Shot Segmentation to New Domains without Retraining. - Qi Fan; Kaiqi Liu; Nian Liu; Hisham Cholakkal; Rao Muhammad Anwer; Wenbin Li 006; Yang Gao 001 (CoRR, 2025)

ONNXPruner: ONNX-Based General Model Pruning Adapter. - Dongdong Ren; Wenbin Li 006; Tianyu Ding; Lei Wang 001; Qi Fan; Jing Huo; Hongbing Pan; Yang Gao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities. - Yanqi Bao; Tianyu Ding; Jing Huo; Yaoli Liu; Yuxin Li; Wenbin Li 006; Yang Gao 001; Jiebo Luo 001 (IEEE Trans. Circuits Syst. Video Technol., 2025)

WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM With Sub-Class Exploration and Prompt Affinity Mining. - Haoran Wang; Lian Huai; Wenbin Li 006; Lei Qi 001; Xingqun Jiang; Yinghuan Shi (IEEE Trans. Medical Imaging, 2025)

Multi-Task Multi-Agent Reinforcement Learning With Interaction and Task Representations. - Chao Li; Shaokang Dong; Shangdong Yang; Yujing Hu; Tianyu Ding; Wenbin Li 006; Yang Gao 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)