Wenbin Li

2.3k citations

66 papers · 1.3k indexed · 1 hit paper · h-index 16

Impact in

Computer Vision and Pattern Recognition top 2%
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM

Papers in ⓘ

Computer Vision and Pattern Recognition 30
- Multimodal Machine Learning Applications 10
- Generative Adversarial Networks and Image Synthesis 6
- Advanced Neural Network Applications 5
- Face and Expression Recognition 4
Artificial Intelligence 30
- Domain Adaptation and Few-Shot Learning 16
- Machine Learning and ELM 5
- Reinforcement Learning in Robotics 4
- Anomaly Detection Techniques and Applications 4

Co-authors: Yang Gao (30 shared papers)Jing Huo (23 shared papers)Jiebo Luo (8 shared papers)Lei Wang (8 shared papers)Jinglin Xu (2 shared papers)Yang Pan (3 shared papers)Yinghuan Shi (10 shared papers)Hao An (1 shared paper)
Journals: IEEE Transactions on Neural Networks and Learning Systems (4 papers)Pattern Recognition (4 papers)Neural Networks (3 papers)IEEE Transactions on Pattern Analysis and Machine Intelligence (3 papers)IEEE Transactions on Image Processing (2 papers)
Partner nations: China United States Australia

In The Last Decade

Wenbin Li

59 papers receiving 1.2k citations

Hit Papers

align trajectories log scale

Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning 2019 · 406 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2019 Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning

Peers

Countries citing papers authored by Wenbin Li

Since Specialization

Citations

This map shows the geographic impact of Wenbin Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wenbin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenbin Li more than expected).

Fields of papers citing papers by Wenbin Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wenbin Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wenbin Li. The network helps show where Wenbin Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Wenbin Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wenbin Li Line = papers co-authored together Wenbin Li links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo Hit paper breakdown →	2019	406
2	Formation and occurrence of new polar iodinated disinfection byproducts in drinking water Chemosphere ·Yang Pan, Wenbin Li, Hao An, Hao Cui, Ying Wang	2015	75
3	Local descriptor-based multi-prototype network for few-shot Learning Pattern Recognition ·Hongwei Huang, Zhangkai Wu, Wenbin Li, Jing Huo, Yang Gao	2021	68
4	Robust neighborhood embedding for unsupervised feature selection Knowledge-Based Systems ·Yanfang Liu, YE Dong-yi, Wenbin Li, Huihui Wang, Yang Gao	2020	54
5	Learning Task-aware Local Representations for Few-shot Learning Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao	2020	52
6	A New Group of Disinfection Byproducts in Drinking Water: Trihalo-hydroxy-cyclopentene-diones Environmental Science & Technology ·Yang Pan, Wenbin Li, Aimin Li, Qing Zhou, Peng Shi, Ying Wang	2016	50
7	LibFewShot: A Comprehensive Library for Few-Shot Learning IEEE Transactions on Pattern Analysis and Machine Intelligence ·Wenbin Li, Ziyi Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo	2023	48
8	Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning IEEE Transactions on Neural Networks and Learning Systems ·Pinzhuo Tian, Wenbin Li, Yang Gao	2021	45
9	Deep Embedded Complementary and Interactive Information for Multi-View Classification Proceedings of the AAAI Conference on Artificial Intelligence ·Jinglin Xu, Wenbin Li, Xinwang Liu, Dingwen Zhang, Ji Liu, Junwei Han	2020	40
10	Global- and local-aware feature augmentation with semantic orthogonality for few-shot image classification Pattern Recognition ·Boyao Shi, Wenbin Li, Jing Huo, Pengfei Zhu, Lei Wang, Yang Gao	2023	34
11	Manifold Alignment for Semantically Aligned Style Transfer 2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu‐Kun Lai, Yinghuan Shi, Yang Gao	2021	33
12	Novel fusion computing method for bio-medical image of WSN based on spherical coordinate Journal of Vibroengineering ·Degan Zhang, Wenbin Li, Si Liu, Xiaodan Zhang	2016	30
13	Identification, formation and control of polar brominated disinfection byproducts during cooking with edible salt, organic matter and simulated tap water Water Research ·Dan Zhang, Yun Wu, Xiangru Zhang, Wenbin Li, Yan Li, Aimin Li, Yang Pan	2020	26
14	CariGAN: Caricature generation through weakly paired adversarial learning Neural Networks ·Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo	2020	26
15	Temperature network for few-shot learning with distribution-aware large-margin metric Pattern Recognition ·Wei Zhu, Wenbin Li, Haofu Liao, Jiebo Luo	2021	25
16	OPML: A one-pass closed-form solution for online metric learning Pattern Recognition ·Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi	2017	17
17	A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images Minglin Ma, Yinghuan Shi, Wenbin Li, Yang Gao, Jun Xu	2018	15
18	WebCaricature: a benchmark for caricature face recognition arXiv (Cornell University) ·Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin	2017	15
19	3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities IEEE Transactions on Circuits and Systems for Video Technology ·Yanqi Bao, Tianyu Ding, Jing Huo, Y. Liu, Yuxin Li, Wenbin Li, Yang Gao, Jiebo Luo	2025	14
20	Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao	2023	13

About Wenbin Li

Wenbin Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Graphics and Computer-Aided Design, Media Technology and Environmental Chemistry, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (16 papers), Multimodal Machine Learning Applications (10 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Advanced Neural Network Applications (5 papers), Machine Learning and ELM (5 papers), Face and Expression Recognition (4 papers), Reinforcement Learning in Robotics (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (639 citations), Artificial Intelligence (707 citations), Health, Toxicology and Mutagenesis (138 citations), Media Technology (85 citations) and Computer Graphics and Computer-Aided Design (21 citations). Wenbin Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yang Gao, Jing Huo, Jiebo Luo, Lei Wang, Jinglin Xu, Yang Pan, Yinghuan Shi, Hao An, Ying Wang and Hao Cui. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition, Neural Networks, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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