World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
35
Citations
4781
World Ranking
11763
National Ranking
4811

Overview

Jingrui He is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research primarily spans the field of Computer Science, with a particular focus on areas such as Artificial Intelligence, Computer Vision and Pattern Recognition, Management Science and Operations Research, Information Systems, and Statistical and Nonlinear Physics.

Their work covers several key topics including Advanced Graph Neural Networks, Domain Adaptation and Few-Shot Learning, Advanced Bandit Algorithms Research, Privacy-Preserving Technologies in Data, Complex Network Analysis Techniques, Multimodal Machine Learning Applications, and Recommender Systems and Techniques.

Jingrui He has contributed to numerous publications, with frequent appearances in venues such as arXiv (Cornell University), Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Proceedings of the AAAI Conference on Artificial Intelligence, Proceedings of the 31st ACM International Conference on Information & Knowledge Management, and the 2022 IEEE International Conference on Big Data (Big Data).

Their recent papers include:

  • "Airborne hyperspectral imaging of cover crops through radiative transfer process-guided machine learning," 2022, Remote Sensing of Environment
  • "Comprehensive Fair Meta-learned Recommender System," 2022, Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
  • "High-Order Structure Exploration on Massive Graphs," 2021, ACM Transactions on Knowledge Discovery from Data
  • "A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes," 2020, IEEE Transactions on Visualization and Computer Graphics
  • "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative," 2022, PubMed

Jingrui He has collaborated frequently with other researchers. Their most common co-authors include Hanghang Tong, Dongqi Fu, Tianxin Wei, Lecheng Zheng, and Yada Zhu.

Best Publications

  • Manifold-ranking based image retrieval

    Jingrui He;Mingjing Li;Hong-Jiang Zhang;Hanghang Tong

  • Comparing Random Forest with Logistic Regression for Predicting Class-Imbalanced Civil War Onset Data

    David Muchlinski;David Siroky;Jingrui He;Matthew Kocher

  • DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification

    Jun Wu;Jingrui He;Jiejun Xu

  • Classification of digital photos taken by photographers or home users

    Hanghang Tong;Mingjing Li;Hong-Jiang Zhang;Jingrui He

  • Generalized Manifold-Ranking-Based Image Retrieval

    Jingrui He;Mingjing Li;Hong-Jiang Zhang;Hanghang Tong

  • A Graph-based Framework for Multi-Task Multi-View Learning

    Jingrui He;Rick Lawrence

  • Graph based multi-modality learning

    Hanghang Tong;Jingrui He;Mingjing Li;Changshui Zhang

  • Improving traffic prediction with tweet semantics

    Jingrui He;Wei Shen;Phani Divakaruni;Laura Wynter

  • Conclusion and Future Directions

    Jingrui He

  • InFoRM: Individual Fairness on Graph Mining

    Jian Kang;Jingrui He;Ross Maciejewski;Hanghang Tong

  • A Data-Driven Graph Generative Model for Temporal Interaction Networks

    Dawei Zhou;Lecheng Zheng;Jiawei Han;Jingrui He

  • Diversified ranking on large graphs: an optimization viewpoint

    Hanghang Tong;Jingrui He;Zhen Wen;Ravi Konuru

  • Nearest-Neighbor-Based Active Learning for Rare Category Detection

    Jingrui He;Jaime G. Carbonell

  • Multi-view transfer learning with a large margin approach

    Dan Zhang;Jingrui He;Yan Liu;Luo Si

  • Mean version space: a new active learning method for content-based image retrieval

    Jingrui He;Hanghang Tong;Mingjing Li;Hong-Jiang Zhang

  • A Local Algorithm for Structure-Preserving Graph Cut

    Dawei Zhou;Si Zhang;Mehmet Yigit Yildirim;Scott Alcorn

  • Learning No-Reference Quality Metric by Examples

    Hanghang Tong;Mingjing Li;Hong-Jiang Zhang;Changshui Zhang

  • SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization

    Dawei Zhou;Jingrui He;Hongxia Yang;Wei Fan

  • Method and System for Wafer Quality Predictive Modeling based on Multi-Source Information with Heterogeneous Relatedness

    Yada Zhu;Jingrui He;Robert Jeffrey Baseman

  • HiDDen: Hierarchical dense subgraph detection with application to financial fraud detection

    Si Zhang;Dawei Zhou;Mehmet Yigit Yildirim;Scott Alcorn

  • Graph-Based Rare Category Detection

    Jingrui He;Yan Liu;R. Lawrence

  • Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative

    Unknown

Frequent Co-Authors

Hanghang Tong
Hanghang Tong University of Illinois at Urbana-Champaign
Changshui Zhang
Changshui Zhang Tsinghua University
Mingjing Li
Mingjing Li Microsoft (United States)
Jaime G. Carbonell
Jaime G. Carbonell Carnegie Mellon University
Nan Cao
Nan Cao Tongji University
Ross Maciejewski
Ross Maciejewski Arizona State University
Wei-Ying Ma
Wei-Ying Ma Tsinghua University
Yu Cheng
Yu Cheng Microsoft (United States)
Ching-Yung Lin
Ching-Yung Lin National Chi Nan University

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