2026 Rong Jin: 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	87	739	714	114	112	412	25360

Research.com Recognitions

2025 - Research.com Computer Science in China Leader Award
2023 - Research.com Computer Science in China Leader Award
2022 - Research.com Computer Science in China Leader Award

Overview

Rong Jin is affiliated with Alibaba Group in China and has a substantial body of work in computer science, particularly within the fields of computer vision and pattern recognition, as well as artificial intelligence. Jin's research contributions span several key areas including domain adaptation, few-shot learning, and advanced neural network applications.

Their active areas of study include:

Domain Adaptation and Few-Shot Learning
Advanced Neural Network Applications
Multimodal Machine Learning Applications
Human Pose and Action Recognition
Advanced Image and Video Retrieval Techniques
Anomaly Detection Techniques and Applications
Video Surveillance and Tracking Methods

With 189 publications primarily under the broad umbrella of computer science, Jin's work is heavily concentrated in computer vision and pattern recognition, with 94 publications, and artificial intelligence, with 86 publications. Other subfields include electrical and electronic engineering and management science.

Jin has published extensively in venues such as:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE Transactions on Pattern Analysis and Machine Intelligence
2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Notable recent publications include:

Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Hybrid Relation Guided Set Matching for Few-shot Action Recognition, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation, 2021, arXiv (Cornell University)
CHEX: CHannel EXploration for CNN Model Compression, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Dash: Semi-Supervised Learning with Dynamic Thresholding, 2021, arXiv (Cornell University)

Jin collaborates frequently with several coauthors, including:

Pichao Wang, with 14 joint publications
Qi Qian, with 10 joint publications
Mingqian Tang, with 10 joint publications
Hao Li, with 10 joint publications
Xiuyu Sun, with 8 joint publications

Best Publications

Understanding bag-of-words model: A statistical framework

Yin Zhang;Rong Jin;Zhi Hua Zhou

1566
Citations
Batch mode active learning and its application to medical image classification

Steven C. H. Hoi;Rong Jin;Jianke Zhu;Michael R. Lyu

551
Citations
SemiBoost: Boosting for Semi-Supervised Learning

P.K. Mallapragada;Rong Jin;A.K. Jain;Yi Liu

473
Citations
Combining link and content for community detection: a discriminative approach

Tianbao Yang;Rong Jin;Yun Chi;Shenghuo Zhu

441
Citations
Discriminative Semi-Supervised Feature Selection Via Manifold Regularization

Zenglin Xu;Irwin King;Michael Rung-Tsong Lyu;Rong Jin

437
Citations
Flexible mixture model for collaborative filtering

Luo Si;Rong Jin

417
Citations
An automatic weighting scheme for collaborative filtering

Rong Jin;Joyce Y. Chai;Luo Si

409
Citations
Semisupervised SVM batch mode active learning with applications to image retrieval

Steven C. H. Hoi;Rong Jin;Jianke Zhu;Michael R. Lyu

403
Citations
Learning with Multiple Labels

Rong Jin;Zoubin Ghahramani

398
Citations
Detecting communities and their evolutions in dynamic social networks--a Bayesian approach

Tianbao Yang;Yun Chi;Shenghuo Zhu;Yihong Gong

390
Citations
Active Learning by Querying Informative and Representative Examples

Sheng-Jun Huang;Rong Jin;Zhi-Hua Zhou

384
Citations
Active Learning by Querying Informative and Representative Examples

Sheng-jun Huang;Rong Jin;Zhi-hua Zhou

376
Citations
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling

Qi Qian;Lei Shang;Baigui Sun;Juhua Hu

371
Citations
Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison

Tianbao Yang;Yu-feng Li;Mehrdad Mahdavi;Rong Jin

347
Citations
Online Feature Selection and Its Applications

Jialei Wang;Peilin Zhao;Steven C. H. Hoi;Rong Jin

342
Citations
Multiple Kernel Learning for Visual Object Recognition: A Review

Serhat S. Bucak;Rong Jin;Anil K. Jain

330
Citations
Large-scale text categorization by batch mode active learning

Steven C. H. Hoi;Rong Jin;Michael R. Lyu

323
Citations
Simple and Efficient Multiple Kernel Learning by Group Lasso

Zenglin Xu;Rong Jin;Haiqin Yang;Irwin King

321
Citations
Correlated Label Propagation with Application to Multi-label Learning

Feng Kang;Rong Jin;R. Sukthankar

309
Citations
Tag Completion for Image Retrieval

Lei Wu;Rong Jin;A. K. Jain

306
Citations
Discriminative semi-supervised feature selection via manifold regularization

Zenglin Xu;Rong Jin;Michael R. Lyu;Irwin King

21
Citations

Frequent Co-Authors

Tianbao Yang Texas A&M University

Shenghuo Zhu Aibee

Anil K. Jain Michigan State University

Steven C. H. Hoi Alibaba Group (China)

Alexander G. Hauptmann Carnegie Mellon University

Zhi-Hua Zhou Nanjing University

Luo Si Alibaba Group (China)

Jinfeng Yi IBM (United States)

Michael R. Lyu Chinese University of Hong Kong

Joyce Y. Chai University of Michigan–Ann Arbor

External Links

Personal website of Rong Jin Google Scholar page

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