2026 Shaozi Li: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	42	8163	7932	1075	1069	292	14196

Overview

Shaozi Li is affiliated with Xiamen University in China and specializes in computer science with a significant focus on computer vision and pattern recognition. Their research portfolio encompasses a broad range of topics within artificial intelligence and related fields.

The primary fields of study for Shaozi Li include:

Computer Science

Within this main field, their subfields of study cover:

Computer Vision and Pattern Recognition
Artificial Intelligence
Radiology, Nuclear Medicine and Imaging
Biomedical Engineering
Electrical and Electronic Engineering

Their work addresses a variety of research topics such as:

Video Surveillance and Tracking Methods
Advanced Neural Network Applications
Anomaly Detection Techniques and Applications
Text and Document Classification Technologies
Adversarial Robustness in Machine Learning
Human Pose and Action Recognition
Advanced Image and Video Retrieval Techniques

Shaozi Li has contributed extensively to research publications, with notable recent papers including:

"Random Erasing Data Augmentation" (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
"Learning to Adapt Invariance in Memory for Person Re-identification" (2020), in IEEE Transactions on Pattern Analysis and Machine Intelligence
"Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification" (2020), published in Proceedings of the AAAI Conference on Artificial Intelligence
"Joint Representation Learning and Keypoint Detection for Cross-View Geo-Localization" (2022), in IEEE Transactions on Image Processing
"SFANet: A Spectrum-Aware Feature Augmentation Network for Visible-Infrared Person Reidentification" (2021), published in IEEE Transactions on Neural Networks and Learning Systems

Frequent collaborators in Shaozi Li's research include Zhiming Luo, Zhun Zhong, Nicu Sebe, Yaojin Lin, and Dazhen Lin. These partnerships have contributed to a sustained output in the field.

The scientist's publications are frequently featured in the following venues:

Concurrency and Computation Practice and Experience
arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Neurocomputing
Zenodo (CERN European Organization for Nuclear Research)

Best Publications

Random Erasing Data Augmentation

Zhun Zhong;Liang Zheng;Guoliang Kang;Shaozi Li

3242
Citations
Re-ranking Person Re-identification with k-Reciprocal Encoding

Zhun Zhong;Liang Zheng;Donglin Cao;Shaozi Li

1652
Citations
Weighted Res-UNet for High-Quality Retina Vessel Segmentation

Xiao Xiao;Shen Lian;Zhiming Luo;Shaozi Li

880
Citations
Camera Style Adaptation for Person Re-identification

Zhun Zhong;Liang Zheng;Zhedong Zheng;Shaozi Li

682
Citations
Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification

Zhun Zhong;Liang Zheng;Zhiming Luo;Shaozi Li

669
Citations
Non-local Deep Features for Salient Object Detection

Zhiming Luo;Akshaya Mishra;Andrew Achkar;Justin Eichel

654
Citations
Generalizing A Person Retrieval Model Hetero- and Homogeneously

Zhun Zhong;Liang Zheng;Shaozi Li;Yi Yang

495
Citations
Manifold regularized discriminative feature selection for multi-label learning

Jia Zhang;Zhiming Luo;Candong Li;Changen Zhou

314
Citations
CamStyle: A Novel Data Augmentation Method for Person Re-Identification

Zhun Zhong;Liang Zheng;Zhedong Zheng;Shaozi Li

302
Citations
ECG Analysis Using Multiple Instance Learning for Myocardial Infarction Detection

Li Sun;Yanping Lu;Kaitao Yang;Shaozi Li

257
Citations
Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification

Yuyang Zhao;Zhun Zhong;Fengxiang Yang;Zhiming Luo

232
Citations
Learning to Adapt Invariance in Memory for Person Re-Identification

Zhun Zhong;Liang Zheng;Zhiming Luo;Shaozi Li

200
Citations
Attention guided U-Net for accurate iris segmentation

Sheng Lian;Zhiming Luo;Zhun Zhong;Xiang Lin

165
Citations
Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification.

Fengxiang Yang;Ke Li;Zhun Zhong;Zhiming Luo

160
Citations
MIO-TCD: A new benchmark dataset for vehicle classification and localization.

Zhiming Luo;Frederic B-Charron;Carl Lemaire;Janusz Konrad

148
Citations
Joint Representation Learning and Keypoint Detection for Cross-View Geo-Localization

Unknown

135
Citations
Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification

Fengxiang Yang;Zhun Zhong;Zhiming Luo;Yuanzheng Cai

134
Citations
Feature learning based on SAE–PCA network for human gesture recognition in RGBD images

Shao-Zi Li;Bin Yu;Bin Yu;Wei Wu;Song-Zhi Su

133
Citations
A cross-media public sentiment analysis system for microblog

Donglin Cao;Rongrong Ji;Dazhen Lin;Shaozi Li

123
Citations
Microblog Sentiment Analysis Based on Cross-media Bag-of-words Model

Min Wang;Donglin Cao;Lingxiao Li;Shaozi Li

119
Citations
Multi-label Feature Selection via Global Relevance and Redundancy Optimization

Jia Zhang;Yidong Lin;Min Jiang;Shaozi Li

61
Citations

Frequent Co-Authors

Rongrong Ji Xiamen University

Liang Zheng Australian National University

Nicu Sebe University of Trento

Pierre-Marc Jodoin Université de Sherbrooke

Shuo Li Case Western Reserve University

Kay Chen Tan Hong Kong Polytechnic University

Jianping Fan University of North Carolina at Charlotte

Gary G. Yen Oklahoma State University

Feiyue Huang Tencent (China)

Janusz Konrad Boston University

External Links

Personal website of Shaozi Li

If you think any of the details on this page are incorrect, let us know.

Related Online Degrees & Career Pathways

Exploring computer science in the USA can unlock a variety of related fields and online degree options. For students interested in technology’s impact on the environment, several environmental engineering degrees online are both accessible and affordable.

Engineering remains a popular path for computer science graduates, and if you are budget-conscious, you might consider the cheapest online mechanical engineering degree programs available.

Another option is to deepen your analytical skills by pursuing online physics degrees. This can complement a computer science background and broaden your problem-solving expertise across industries.

For those seeking specialized data expertise, pursuing the cheapest master in data science in the USA prepares you for high-growth sectors like artificial intelligence, business analytics, and research.

These online programs offer flexibility, affordability, and a direct path to diverse career opportunities related to computer science.