2026 Lei Zhu: 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	50	5667	5507	749	744	244	8967

Lei Zhu publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Lei Zhu sits on this spectrum.

32 publications 991+

This scientist: 244 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Lei Zhu D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Lei Zhu sits on this spectrum.

30 D-Index 131+

This scientist: 50 D-Index — 62nd percentile

62% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Lei Zhu is affiliated with Tongji University in China and has contributed extensively to the field of Computer Science, with a focus on subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems, Radiology, Nuclear Medicine and Imaging, as well as Computer Networks and Communications.

Their research encompasses several main topics, such as:

Multimodal Machine Learning Applications
Advanced Image and Video Retrieval Techniques
Domain Adaptation and Few-Shot Learning
Video Surveillance and Tracking Methods
Recommender Systems and Techniques
Image Retrieval and Classification Techniques
Advanced Graph Neural Networks

Lei Zhu has authored multiple papers including:

Deep Collaborative Multi-View Hashing for Large-Scale Image Search, 2020, IEEE Transactions on Image Processing
Maximum Density Divergence for Domain Adaptation, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
Divergence-Agnostic Unsupervised Domain Adaptation by Adversarial Attacks, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comprehensive Survey on Source-Free Domain Adaptation, 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence

Frequent co-authors of Lei Zhu include:

Jingjing Li
Zheng Zhang
Heng Tao Shen
Huaxiang Zhang
Zhiyong Cheng

Publications have appeared regularly in venues such as:

IEEE Transactions on Circuits and Systems for Video Technology
arXiv (Cornell University)
ACM Transactions on Information Systems
IEEE Transactions on Multimedia
IEEE Transactions on Image Processing

In addition to journal articles, Lei Zhu has published a book titled Unsupervised Domain Adaptation in 2024 via Springer Nature.

Best Publications

R³Net: Recurrent Residual Refinement Network for Saliency Detection

Zijun Deng;Xiaowei Hu;Lei Zhu;Lei Zhu;Xuemiao Xu

579
Citations
Leveraging the Invariant Side of Generative Zero-Shot Learning

Jingjing Li;Mengmeng Jing;Ke Lu;Zhengming Ding

342
Citations
Maximum Density Divergence for Domain Adaptation

Jingjing Li;Erpeng Chen;Zhengming Ding;Lei Zhu

312
Citations
Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews

Zhiyong Cheng;Ying Ding;Lei Zhu;Mohan Kankanhalli

298
Citations
Transfer Independently Together: A Generalized Framework for Domain Adaptation

Jingjing Li;Ke Lu;Zi Huang;Lei Zhu

298
Citations
Interest-aware Message-Passing GCN for Recommendation

Fan Liu;Zhiyong Cheng;Lei Zhu;Zan Gao

274
Citations
Locality Preserving Joint Transfer for Domain Adaptation

Jingjing Li;Mengmeng Jing;Ke Lu;Lei Zhu

255
Citations
MMALFM: Explainable Recommendation by Leveraging Reviews and Images

Zhiyong Cheng;Xiaojun Chang;Lei Zhu;Rose C. Kanjirathinkal

221
Citations
Unsupervised Visual Hashing with Semantic Assistant for Content-Based Image Retrieval

Lei Zhu;Jialie Shen;Liang Xie;Zhiyong Cheng

210
Citations
Heterogeneous Domain Adaptation Through Progressive Alignment

Jingjing Li;Ke Lu;Zi Huang;Lei Zhu

207
Citations
A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction

Zhiyong Cheng;Ying Ding;Xiangnan He;Lei Zhu

205
Citations
Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation

Zhekai Du;Jingjing Li;Hongzu Su;Lei Zhu

184
Citations
Scalable Deep Hashing for Large-Scale Social Image Retrieval

Hui Cui;Lei Zhu;Jingjing Li;Yang Yang

166
Citations
ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning.

Caixia Yan;Xiaojun Chang;Zhihui Li;Weili Guan

164
Citations
Exploring Auxiliary Context: Discrete Semantic Transfer Hashing for Scalable Image Retrieval

Lei Zhu;Zi Huang;Zhihui Li;Liang Xie

157
Citations
From Zero-Shot Learning to Cold-Start Recommendation

Jingjing Li;Mengmeng Jing;Ke Lu;Lei Zhu

153
Citations
Leveraging the Invariant Side of Generative Zero-Shot Learning

Jingjing Li;Mengmeng Jin;Ke Lu;Zhengming Ding

147
Citations
A Comprehensive Survey on Source-Free Domain Adaptation

Unknown

146
Citations
Deep Collaborative Multi-View Hashing for Large-Scale Image Search

Lei Zhu;Xu Lu;Zhiyong Cheng;Jingjing Li

136
Citations
Discrete Multimodal Hashing With Canonical Views for Robust Mobile Landmark Search

Lei Zhu;Zi Huang;Xiaobai Liu;Xiangnan He

131
Citations
Dynamic Multi-view Hashing for Online Image Retrieval

Liang Xie;Jialie Shen;Jungong Han;Lei Zhu

126
Citations
Online Multi-modal Hashing with Dynamic Query-adaption

Xu Lu;Lei Zhu;Zhiyong Cheng;Liqiang Nie

123
Citations
Divergence-agnostic Unsupervised Domain Adaptation by Adversarial Attacks.

Jingjing Li;Zhekai Du;Lei Zhu;Zhengming Ding

114
Citations
DA-GCN: a domain-aware attentive graph convolution network for shared-account cross-domain sequential recommendation

Lei Guo;Li Tang;Tong Chen;Lei Zhu

114
Citations
Work Together: Correlation-Identity Reconstruction Hashing for Unsupervised Cross-Modal Retrieval

Unknown

111
Citations
MMALFM: Explainable Recommendation by Leveraging Reviews and Images

Zhiyong Cheng;Xiaojun Chang;Lei Zhu;Rose C. Kanjirathinkal

94
Citations

Frequent Co-Authors

Jingjing Li Chinese University of Hong Kong

Zhiyong Cheng Qilu University of Technology

Huaxiang Zhang Shandong Normal University

Zi Huang University of Queensland

Ke Lu Chinese Academy of Sciences

Heng Tao Shen University of Electronic Science and Technology of China

Liqiang Nie Shandong University

Hai Jin Huazhong University of Science and Technology

Yang Yang University of Electronic Science and Technology of China

Zhengming Ding Tulane University

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