Wenbin Li

Orcid: 0000-0002-0935-7124

Affiliations:
  • Nanjing University, State Key Laboratory for Novel Software Technology, China


According to our database1, Wenbin Li authored at least 50 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2023
LibFewShot: A Comprehensive Library for Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Online Passive-Aggressive Active Learning for Trapezoidal Data Streams.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

A Multilayer Framework for Online Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Global- and local-aware feature augmentation with semantic orthogonality for few-shot image classification.
Pattern Recognit., October, 2023

Defensive Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Effective Interpretable Policy Distillation via Critical Experience Point Identification.
IEEE Intell. Syst., 2023

InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules.
CoRR, 2023

Efficient Last-iterate Convergence Algorithms in Solving Games.
CoRR, 2023

Efficient Subgame Refinement for Extensive-form Games.
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.
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.
Proceedings of the IEEE International Conference on Acoustics, 2023

Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery.
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.
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.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst., 2022

CariMe: Unpaired Caricature Generation With Multiple Exaggerations.
IEEE Trans. Multim., 2022

CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation.
IEEE Trans. Image Process., 2022

Confidence-weighted Learning for Feature Evolution.
Int. J. Softw. Informatics, 2022

A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix.
CoRR, 2022

Learning Credit Assignment for Cooperative Reinforcement Learning.
CoRR, 2022

Playing Lottery Tickets in Style Transfer Models.
CoRR, 2022

Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation.
CoRR, 2022

Uncertainty-Based Network for Few-Shot Image Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021
Temperature network for few-shot learning with distribution-aware large-margin metric.
Pattern Recognit., 2021

Local descriptor-based multi-prototype network for few-shot Learning.
Pattern Recognit., 2021

Triplet is All You Need with Random Mappings for Unsupervised Visual Representation Learning.
CoRR, 2021

Manifold Alignment for Semantically Aligned Style Transfer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

LoFGAN: Fusing Local Representations for Few-shot Image Generation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
CariGAN: Caricature generation through weakly paired adversarial learning.
Neural Networks, 2020

Robust neighborhood embedding for unsupervised feature selection.
Knowl. Based Syst., 2020

Embedded Deep Bilinear Interactive Information and Selective Fusion for Multi-view Learning.
CoRR, 2020

Unsupervised Few-shot Learning via Distribution Shift-based Augmentation.
CoRR, 2020

Alleviating the Incompatibility Between Cross Entropy Loss and Episode Training for Few-Shot Skin Disease Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Joint Multi-view 2D Convolutional Neural Networks for 3D Object Classification.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Biased Feature Learning for Occlusion Invariant Face Recognition.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Asymmetric Distribution Measure for Few-shot Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Task-aware Local Representations for Few-shot Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Deep Embedded Complementary and Interactive Information for Multi-View Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Defensive Few-shot Adversarial Learning.
CoRR, 2019

Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
OPML: A one-pass closed-form solution for online metric learning.
Pattern Recognit., 2018

Online Deep Metric Learning.
CoRR, 2018

A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

WebCaricature: a benchmark for caricature recognition.
Proceedings of the British Machine Vision Conference 2018, 2018

A Joint Local and Global Deep Metric Learning Method for Caricature Recognition.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
WebCaricature: a benchmark for caricature face recognition.
CoRR, 2017

Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015
Interactive image segmentation via cascaded metric learning.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015


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