Wenbin Li

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 61

Top Topics

Metric Learning

Manifold Alignment

Interactive Image Segmentation

Invariant Face Recognition

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Lianghan Zhu, Yanqi Bao, Jing Huo, Jing Wu, Yu-Kun Lai, Wenbin Li, Yang Gao
Zero-Shot Video Editing through Adaptive Sliding Score Distillation. CoRR (2024)
Dongdong Ren, Wenbin Li, Tianyu Ding, Lei Wang, Qi Fan, Jing Huo, Hongbing Pan, Yang Gao
ONNXPruner: ONNX-Based General Model Pruning Adapter. CoRR (2024)
Yanqi Bao, Tianyu Ding, Jing Huo, Yaoli Liu, Yuxin Li, Wenbin Li, Yang Gao, Jiebo Luo
3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities. CoRR (2024)
Changbin Shao, Wenbin Li, Jing Huo, Zhen-Hua Feng, Yang Gao
Attention-based investigation and solution to the trade-off issue of adversarial training. Neural Networks 174 (2024)
Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao
WToE: Learning When to Explore in Multiagent Reinforcement Learning. IEEE Trans. Cybern. 54 (8) (2024)
Jing Huo, Meihao Kong, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
Towards efficient image and video style transfer via distillation and learnable feature transformation. Comput. Vis. Image Underst. 241 (2024)
Shaokang Dong, Chao Li, Shangdong Yang, Bo An, Wenbin Li, Yang Gao
Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning. Neural Networks 178 (2024)
Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation. CoRR (2024)
Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. ICLR (2024)
Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings. Trans. Mach. Learn. Res. 2023 (2023)
Yanfang Liu, Xiaocong Fan, Wenbin Li, Yang Gao
Online Passive-Aggressive Active Learning for Trapezoidal Data Streams. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Wenbin Li, Yanfang Liu, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo
A Multilayer Framework for Online Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 34 (10) (2023)
Xiao Liu, Shuyang Liu, Bo An, Yang Gao, Shangdong Yang, Wenbin Li
Effective Interpretable Policy Distillation via Critical Experience Point Identification. IEEE Intell. Syst. 38 (5) (2023)
Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, Yang Gao
Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. ACM Multimedia (2023)
Wenbin Li, Lei Wang, Xingxing Zhang, Lei Qi, Jing Huo, Yang Gao, Jiebo Luo
Defensive Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao
Efficient Subgame Refinement for Extensive-form Games. NeurIPS (2023)
Yunkai Zhuang, Shangdong Yang, Wenbin Li, Yang Gao
Convergence Analysis of Graphical Game-Based Nash Q-Learning using the Interaction Detection Signal of N-Step Return. ICASSP (2023)
Wenbin Li, Ziyi Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo
LibFewShot: A Comprehensive Library for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Jing Huo, Xiangde Liu, Wenbin Li, Yang Gao, Hujun Yin, Jiebo Luo
CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation. IEEE Trans. Image Process. 31 (2022)
Wenbin Li, Meihao Kong, Xuesong Yang, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix. CoRR (2022)
Xiao Liu, Shuyang Liu, Wenbin Li, Shangdong Yang, Yang Gao
Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation. CoRR (2022)
Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao
Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery. CoRR (2022)
Pinzhuo Tian, Wenbin Li, Yang Gao
Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 33 (12) (2022)
Meihao Kong, Jing Huo, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
Playing Lottery Tickets in Style Transfer Models. CoRR (2022)
Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang
Learning Credit Assignment for Cooperative Reinforcement Learning. CoRR (2022)
Zheng Gu, Chuanqi Dong, Jing Huo, Wenbin Li, Yang Gao
CariMe: Unpaired Caricature Generation With Multiple Exaggerations. IEEE Trans. Multim. 24 (2022)
Zheng Gu, Wenbin Li, Jing Huo, Lei Wang, Yang Gao
LoFGAN: Fusing Local Representations for Few-shot Image Generation. ICCV (2021)
Hongwei Huang, Zhangkai Wu, Wenbin Li, Jing Huo, Yang Gao
Local descriptor-based multi-prototype network for few-shot Learning. Pattern Recognit. 116 (2021)
Wei Zhu, Wenbin Li, Haofu Liao, Jiebo Luo
Temperature network for few-shot learning with distribution-aware large-margin metric. Pattern Recognit. 112 (2021)
Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao
Manifold Alignment for Semantically Aligned Style Transfer. ICCV (2021)
Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
Triplet is All You Need with Random Mappings for Unsupervised Visual Representation Learning. CoRR (2021)
Wenbin Li, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Xuesong Yang, Ziyi Wang, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo
LibFewShot: A Comprehensive Library for Few-shot Learning. CoRR (2021)
Xiao Liu, Wenbin Li, Jing Huo, Lili Yao, Yang Gao
Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio. AAAI (2020)
Zheng Gu, Chuanqi Dong, Jing Huo, Wenbin Li, Yang Gao
CariMe: Unpaired Caricature Generation with Multiple Exaggerations. CoRR (2020)
Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo
Asymmetric Distribution Measure for Few-shot Learning. CoRR (2020)
Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo
Asymmetric Distribution Measure for Few-shot Learning. IJCAI (2020)
Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao
Manifold Alignment for Semantically Aligned Style Transfer. CoRR (2020)
Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification. CoRR (2020)
Tiexin Qin, Wenbin Li, Yinghuan Shi, Yang Gao
Unsupervised Few-shot Learning via Distribution Shift-based Augmentation. CoRR (2020)
Jinglin Xu, Wenbin Li, Jiantao Shen, Xinwang Liu, Peicheng Zhou, Xiangsen Zhang, Xiwen Yao, Junwei Han
Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning. CoRR (2020)
Yanfang Liu, Dongyi Ye, Wenbin Li, Huihui Wang, Yang Gao
Robust neighborhood embedding for unsupervised feature selection. Knowl. Based Syst. 193 (2020)
Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo
CariGAN: Caricature generation through weakly paired adversarial learning. Neural Networks 132 (2020)
Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han
Deep Embedded Complementary and Interactive Information for Multi-View Classification. AAAI (2020)
Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao
Learning Task-aware Local Representations for Few-shot Learning. IJCAI (2020)
Wei Zhu, Haofu Liao, Wenbin Li, Weijian Li, Jiebo Luo
Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification. MICCAI (6) (2020)
Changbin Shao, Jing Huo, Lei Qi, Zhen-Hua Feng, Wenbin Li, Chuanqi Dong, Yang Gao
Biased Feature Learning for Occlusion Invariant Face Recognition. IJCAI (2020)
Jinglin Xu, Xiangsen Zhang, Wenbin Li, Xinwang Liu, Junwei Han
Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification. IJCAI (2020)
Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning. CoRR (2019)
Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning. CVPR (2019)
Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo
Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning. AAAI (2019)
Wenbin Li, Lei Wang, Xingxing Zhang, Jing Huo, Yang Gao, Jiebo Luo
Defensive Few-shot Adversarial Learning. CoRR (2019)
Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo
Online Deep Metric Learning. CoRR (2018)
Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning. CoRR (2018)
Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin
WebCaricature: a benchmark for caricature recognition. BMVC (2018)
Minglin Ma, Yinghuan Shi, Wenbin Li, Yang Gao, Jun Xu
A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images. ICPR (2018)
Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo
A Joint Local and Global Deep Metric Learning Method for Caricature Recognition. ACCV (4) (2018)
Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi
OPML: A one-pass closed-form solution for online metric learning. Pattern Recognit. 75 (2018)
Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin
WebCaricature: a benchmark for caricature face recognition. CoRR (2017)
Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen
Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. AAAI (2017)
Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi
OPML: A One-Pass Closed-Form Solution for Online Metric Learning. CoRR (2016)
Wenbin Li, Yinghuan Shi, Wanqi Yang, Hao Wang, Yang Gao
Interactive image segmentation via cascaded metric learning. ICIP (2015)