World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
11059
World Ranking
3486
National Ranking
470

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

  • Apollo: scalable and coordinated scheduling for cloud-scale computing

    Eric Boutin;Jaliya Ekanayake;Wei Lin;Bing Shi

  • Representation Learning for Attributed Multiplex Heterogeneous Network

    Yukuo Cen;Xu Zou;Jianwei Zhang;Hongxia Yang

  • Implementing database operations using SIMD instructions

    Jingren Zhou;Kenneth A. Ross

  • AliGraph: a comprehensive graph neural network platform

    Rong Zhu;Kun Zhao;Hongxia Yang;Wei Lin

  • Re-optimizing data-parallel computing

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

  • SCOPE: parallel databases meet MapReduce

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

  • MTCache: transparent mid-tier database caching in SQL server

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

  • Understanding Negative Sampling in Graph Representation Learning

    Zhen Yang;Ming Ding;Chang Zhou;Hongxia Yang

  • Real-time constrained cycle detection in large dynamic graphs

    Xiafei Qiu;Wubin Cen;Zhengping Qian;You Peng

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

    Unknown

  • Composer: Creative and Controllable Image Synthesis with Composable Conditions

    Unknown

  • Efficient exploitation of similar subexpressions for query processing

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

  • Sparse-Interest Network for Sequential Recommendation

    Qiaoyu Tan;Jianwei Zhang;Jiangchao Yao;Ninghao Liu

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

    Chang Zhou;Jianxin Ma;Jianwei Zhang;Jingren Zhou

  • Lazy maintenance of materialized views

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

  • Towards Knowledge-Based Personalized Product Description Generation in E-commerce

    Qibin Chen;Junyang Lin;Yichang Zhang;Hongxia Yang

  • Improving database performance on simultaneous multithreading processors

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

  • Asynchronous Database Index Maintenance

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

  • Incorporating partitioning and parallel plans into the SCOPE optimizer

    Jingren Zhou;Per-Ake Larson;Ronnie Chaiken

  • Buffering databse operations for enhanced instruction cache performance

    Jingren Zhou;Kenneth A. Ross

  • Parallel data computing optimization

    Nicolas Bruno;Jingren Zhou;Srikanth Kandula;Sameer Agarwal

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

    Boge Liu;Long Yuan;Xuemin Lin;Lu Qin

  • Sequential Scenario-Specific Meta Learner for Online Recommendation

    Zhengxiao Du;Xiaowei Wang;Hongxia Yang;Jingren Zhou

  • Transparent mid-tier database caching in SQL server

    Per-Åke Larson;Jonathan Goldstein;Jingren Zhou

Frequent Co-Authors

Per-Ake Larson
Per-Ake Larson Microsoft (United States)
Xuemin Lin
Xuemin Lin Shanghai Jiao Tong University
Nicolas Bruno
Nicolas Bruno Microsoft (United States)
Lu Qin
Lu Qin University of Technology Sydney
Wenjie Zhang
Wenjie Zhang University of New South Wales
Jie Tang
Jie Tang Tsinghua University
Xia Hu
Xia Hu Rice University
Kenneth A. Ross
Kenneth A. Ross Columbia University
Wenfei Fan
Wenfei Fan University of Edinburgh
Ying Zhang
Ying Zhang University of Technology Sydney

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