2026 Jingren Zhou: 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	59	3486	3389	470	467	276	11059

Jingren Zhou 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 Jingren Zhou sits on this spectrum.

32 publications 991+

This scientist: 276 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

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

Jingren Zhou 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 Jingren Zhou sits on this spectrum.

30 D-Index 131+

This scientist: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

2019 - IEEE Fellow For contributions to cloud computing and query processing

Overview

Jingren Zhou is affiliated with Alibaba Group in China. Their research spans the field of Computer Science, with a focus on several key subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems, and Signal Processing.

Their work covers a range of topics, reflecting a diverse research portfolio. Main topics include:

Topic Modeling
Natural Language Processing Techniques
Advanced Neural Network Applications
Privacy-Preserving Technologies in Data
Domain Adaptation and Few-Shot Learning
Multimodal Machine Learning Applications
Data Management and Algorithms

Jingren Zhou has contributed to numerous scientific publications, often appearing in well-known venues such as:

arXiv (Cornell University)
Proceedings of the VLDB Endowment
The VLDB Journal
Proceedings of the ACM on Management of Data
IEEE Transactions on Knowledge and Data Engineering

Examples of recent publications include:

OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework, 2022, arXiv (Cornell University)
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond, 2023, arXiv (Cornell University)
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation, 2024, Proceedings of the VLDB Endowment
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI, 2022, IEEE Transactions on Knowledge and Data Engineering
Maximum biclique search at billion scale, 2020, Proceedings of the VLDB Endowment

The scientist has frequently collaborated with various researchers, including Bolin Ding (41 coauthored works), Hongxia Yang (32), Yaliang Li (27), Junyang Lin (23), and Le Lü (20).

Jingren Zhou has received recognition in their field, including the IEEE Fellow award in 2019 for contributions to cloud computing and query processing.

Best Publications

SCOPE: easy and efficient parallel processing of massive data sets

Ronnie Chaiken;Bob Jenkins;Per-Åke Larson;Bill Ramsey

1071
Citations
Apollo: scalable and coordinated scheduling for cloud-scale computing

Eric Boutin;Jaliya Ekanayake;Wei Lin;Bing Shi

440
Citations
Representation Learning for Attributed Multiplex Heterogeneous Network

Yukuo Cen;Xu Zou;Jianwei Zhang;Hongxia Yang

424
Citations
Implementing database operations using SIMD instructions

Jingren Zhou;Kenneth A. Ross

345
Citations
AliGraph: a comprehensive graph neural network platform

Rong Zhu;Kun Zhao;Hongxia Yang;Wei Lin

270
Citations
Re-optimizing data-parallel computing

Sameer Agarwal;Srikanth Kandula;Nicolas Bruno;Ming-Chuan Wu

251
Citations
SCOPE: parallel databases meet MapReduce

Jingren Zhou;Nicolas Bruno;Ming-Chuan Wu;Per-Ake Larson

197
Citations
MTCache: transparent mid-tier database caching in SQL server

P.-A. Larson;J. Goldstein;J. Zhou

172
Citations
Understanding Negative Sampling in Graph Representation Learning

Zhen Yang;Ming Ding;Chang Zhou;Hongxia Yang

172
Citations
Real-time constrained cycle detection in large dynamic graphs

Xiafei Qiu;Wubin Cen;Zhengping Qian;You Peng

163
Citations
Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI

Unknown

162
Citations
Composer: Creative and Controllable Image Synthesis with Composable Conditions

Unknown

152
Citations
Efficient exploitation of similar subexpressions for query processing

Jingren Zhou;Per-Ake Larson;Johann-Christoph Freytag;Wolfgang Lehner

149
Citations
Sparse-Interest Network for Sequential Recommendation

Qiaoyu Tan;Jianwei Zhang;Jiangchao Yao;Ninghao Liu

138
Citations
Contrastive Learning for Debiased Candidate Generation in Large-Scale Recommender Systems

Chang Zhou;Jianxin Ma;Jianwei Zhang;Jingren Zhou

132
Citations
Lazy maintenance of materialized views

Jingren Zhou;Per-Ake Larson;Hicham G. Elmongui

126
Citations
Towards Knowledge-Based Personalized Product Description Generation in E-commerce

Qibin Chen;Junyang Lin;Yichang Zhang;Hongxia Yang

120
Citations
Improving database performance on simultaneous multithreading processors

Jingren Zhou;John Cieslewicz;Kenneth A. Ross;Mihir Shah

119
Citations
Asynchronous Database Index Maintenance

Peter A. Carlin;Per-Ake Larson;Jingren Zhou

118
Citations
Incorporating partitioning and parallel plans into the SCOPE optimizer

Jingren Zhou;Per-Ake Larson;Ronnie Chaiken

118
Citations
Buffering databse operations for enhanced instruction cache performance

Jingren Zhou;Kenneth A. Ross

112
Citations
Parallel data computing optimization

Nicolas Bruno;Jingren Zhou;Srikanth Kandula;Sameer Agarwal

109
Citations
Efficient (α, β)-core Computation: an Index-based Approach

Boge Liu;Long Yuan;Xuemin Lin;Lu Qin

102
Citations
Sequential Scenario-Specific Meta Learner for Online Recommendation

Zhengxiao Du;Xiaowei Wang;Hongxia Yang;Jingren Zhou

94
Citations
Transparent mid-tier database caching in SQL server

Per-Åke Larson;Jonathan Goldstein;Jingren Zhou

28
Citations

Frequent Co-Authors

Per-Ake Larson Microsoft (United States)

Xuemin Lin Shanghai Jiao Tong University

Nicolas Bruno Microsoft (United States)

Lu Qin University of Technology Sydney

Wenjie Zhang University of New South Wales

Jie Tang Tsinghua University

Xia Hu Rice University

Kenneth A. Ross Columbia University

Wenfei Fan University of Edinburgh

Ying Zhang University of Technology Sydney

External Links

Personal website of Jingren Zhou Google Scholar page

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