Wenbin Li

According to our database, Wenbin Li authored at least 66 papers between 2011 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Coordinating Multi-Agent Reinforcement Learning via Dual Collaborative Constraints.

Chao Li, Shaokang Dong, Shangdong Yang, Yujing Hu, Wenbin Li, Yang Gao

Neural Networks, 2025

2024

Learning Multi-Intersection Traffic Signal Control via Coevolutionary Multi-Agent Reinforcement Learning.

Wubing Chen, Shangdong Yang, Wenbin Li, Yujing Hu, Xiao Liu, Yang Gao

IEEE Trans. Intell. Transp. Syst., November, 2024

WToE: Learning When to Explore in Multiagent Reinforcement Learning.

Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao

IEEE Trans. Cybern., August, 2024

Attention-based investigation and solution to the trade-off issue of adversarial training.

Changbin Shao, Wenbin Li, Jing Huo, Zhenhua Feng, Yang Gao

Neural Networks, 2024

Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning.

Shaokang Dong, Chao Li, Shangdong Yang, Bo An, Wenbin Li, Yang Gao

Neural Networks, 2024

Towards efficient image and video style transfer via distillation and learnable feature transformation.

Jing Huo, Meihao Kong, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao

Comput. Vis. Image Underst., 2024

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP.

Yayuan Li, Jintao Guo, Lei Qi, Wenbin Li, Yinghuan Shi

CoRR, 2024

3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities.

Yanqi Bao, Tianyu Ding, Jing Huo, Yaoli Liu, Yuxin Li, Wenbin Li, Yang Gao, Jiebo Luo

CoRR, 2024

Zero-Shot Video Editing through Adaptive Sliding Score Distillation.

Lianghan Zhu, Yanqi Bao, Jing Huo, Jing Wu, Yu-Kun Lai, Wenbin Li, Yang Gao

CoRR, 2024

ONNXPruner: ONNX-Based General Model Pruning Adapter.

Dongdong Ren, Wenbin Li, Tianyu Ding, Lei Wang, Qi Fan, Jing Huo, Hongbing Pan, Yang Gao

CoRR, 2024

Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation.

Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao

CoRR, 2024

Task-Aware Few-Shot Image Generation via Dynamic Local Distribution Estimation and Sampling.

Zheng Gu, Wenbin Li, Tianyu Ding, Zhengli Wang, Jing Huo, Kuihua Huang, Yang Gao

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Rare Fungi Image Classification Based on Few-Shot Learning and Data Augmentation.

Jiayi Hao, Yulin Feng, Wenbin Li, Jiebo Luo

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Safe and Robust Subgame Exploitation in Imperfect Information Games.

Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules.

Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

LibFewShot: A Comprehensive Library for Few-Shot Learning.

Wenbin Li, Ziyi Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Online Passive-Aggressive Active Learning for Trapezoidal Data Streams.

Yanfang Liu, Xiaocong Fan, Wenbin Li, Yang Gao

IEEE Trans. Neural Networks Learn. Syst., October, 2023

A Multilayer Framework for Online Metric Learning.

Wenbin Li, Yanfang Liu, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Global- and local-aware feature augmentation with semantic orthogonality for few-shot image classification.

Boyao Shi, Wenbin Li, Jing Huo, Pengfei Zhu, Lei Wang, Yang Gao

Pattern Recognit., October, 2023

Defensive Few-Shot Learning.

Wenbin Li, Lei Wang, Xingxing Zhang, Lei Qi, Jing Huo, Yang Gao, Jiebo Luo

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings.

Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo

Trans. Mach. Learn. Res., 2023

Effective Interpretable Policy Distillation via Critical Experience Point Identification.

Xiao Liu, Shuyang Liu, Bo An, Yang Gao, Shangdong Yang, Wenbin Li

IEEE Intell. Syst., 2023

Efficient Last-iterate Convergence Algorithms in Solving Games.

Linjian Meng, Zhenxing Ge, Wenbin Li, Bo An, Yang Gao

CoRR, 2023

Efficient Subgame Refinement for Extensive-form Games.

Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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, Yang Gao

Proceedings of the 31st ACM International Conference on Multimedia, 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, Yang Gao

Proceedings of the IEEE International Conference on Acoustics, 2023

Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery.

Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

TiLD: Third-person Imitation Learning by Estimating Domain Cognitive Differences of Visual Demonstrations.

Zixuan Chen, Wenbin Li, Yang Gao, Yiyu Chen

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient.

Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang, Yang Gao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning.

Pinzhuo Tian, Wenbin Li, Yang Gao

IEEE Trans. Neural Networks Learn. Syst., 2022

CariMe: Unpaired Caricature Generation With Multiple Exaggerations.

Zheng Gu, Chuanqi Dong, Jing Huo, Wenbin Li, Yang Gao

IEEE Trans. Multim., 2022

CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation.

Jing Huo, Xiangde Liu, Wenbin Li, Yang Gao, Hujun Yin, Jiebo Luo

IEEE Trans. Image Process., 2022

Confidence-weighted Learning for Feature Evolution.

Yanfang Liu, Wenbin Li, Yang Gao

Int. J. Softw. Informatics, 2022

A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix.

Wenbin Li, Meihao Kong, Xuesong Yang, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo

CoRR, 2022

Learning Credit Assignment for Cooperative Reinforcement Learning.

Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang

CoRR, 2022

Playing Lottery Tickets in Style Transfer Models.

Meihao Kong, Jing Huo, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao

CoRR, 2022

Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation.

Xiao Liu, Shuyang Liu, Wenbin Li, Shangdong Yang, Yang Gao

CoRR, 2022

Uncertainty-Based Network for Few-Shot Image Classification.

Minglei Yuan, Qian Xu, Chunhao Cai, Yin-Dong Zheng, Tao Wang, Tong Lu, Wenbin Li

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021

Temperature network for few-shot learning with distribution-aware large-margin metric.

Wei Zhu, Wenbin Li, Haofu Liao, Jiebo Luo

Pattern Recognit., 2021

Local descriptor-based multi-prototype network for few-shot Learning.

Hongwei Huang, Zhangkai Wu, Wenbin Li, Jing Huo, Yang Gao

Pattern Recognit., 2021

Triplet is All You Need with Random Mappings for Unsupervised Visual Representation Learning.

Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo

CoRR, 2021

Manifold Alignment for Semantically Aligned Style Transfer.

Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

LoFGAN: Fusing Local Representations for Few-shot Image Generation.

Zheng Gu, Wenbin Li, Jing Huo, Lei Wang, Yang Gao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

CariGAN: Caricature generation through weakly paired adversarial learning.

Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo

Neural Networks, 2020

Robust neighborhood embedding for unsupervised feature selection.

Yanfang Liu, Dongyi Ye, Wenbin Li, Huihui Wang, Yang Gao

Knowl. Based Syst., 2020

Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning.

Jinglin Xu, Wenbin Li, Jiantao Shen, Xinwang Liu, Peicheng Zhou, Xiangsen Zhang, Xiwen Yao, Junwei Han

CoRR, 2020

Unsupervised Few-shot Learning via Distribution Shift-based Augmentation.

Tiexin Qin, Wenbin Li, Yinghuan Shi, Yang Gao

CoRR, 2020

Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification.

Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification.

Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Biased Feature Learning for Occlusion Invariant Face Recognition.

Changbin Shao, Jing Huo, Lei Qi, Zhenhua Feng, Wenbin Li, Chuanqi Dong, Yang Gao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Asymmetric Distribution Measure for Few-shot Learning.

Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Task-aware Local Representations for Few-shot Learning.

Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Embedded Complementary and Interactive Information for Multi-View Classification.

Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio.

Xiao Liu, Wenbin Li, Jing Huo, Lili Yao, Yang Gao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Defensive Few-shot Adversarial Learning.

Wenbin Li, Lei Wang, Xingxing Zhang, Jing Huo, Yang Gao, Jiebo Luo

CoRR, 2019

Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning.

Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning.

Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

OPML: A one-pass closed-form solution for online metric learning.

Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi

Pattern Recognit., 2018

Online Deep Metric Learning.

Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo

CoRR, 2018

A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images.

Minglin Ma, Yinghuan Shi, Wenbin Li, Yang Gao, Jun Xu

Proceedings of the 24th International Conference on Pattern Recognition, 2018

WebCaricature: a benchmark for caricature recognition.

Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin

Proceedings of the British Machine Vision Conference 2018, 2018

A Joint Local and Global Deep Metric Learning Method for Caricature Recognition.

Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

WebCaricature: a benchmark for caricature face recognition.

Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin

CoRR, 2017

Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks.

Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

Interactive image segmentation via cascaded metric learning.

Wenbin Li, Yinghuan Shi, Wanqi Yang, Hao Wang, Yang Gao

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

2011

Enriched white matter connectivity networks for accurate identification of MCI patients.

Chong-Yaw Wee, Pew-Thian Yap, Wenbin Li, Kevin Denny, Jeffrey N. Browndyke, Guy G. Potter, Kathleen Welsh-Bohmer, Lihong Wang, Dinggang Shen

NeuroImage, 2011