Jingrui He

About Jingrui He

Jingrui He, With an exceptional h-index of 35 and a recent h-index of 26 (since 2020), a distinguished researcher at University of Illinois at Urbana-Champaign, specializes in the field of Machine Learning, Data Mining, Social Networks, Medical Informatics, Semiconductor Manufacturing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Meta-learning with neural bandit scheduler

Heterogeneous Contrastive Learning for Foundation Models and Beyond

Graph-Structured Gaussian Processes for Transferable Graph Learning

VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections

Adaptive Test-Time Personalization for Federated Learning

Automated Contrastive Learning Strategy Search for Time Series

SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval

Multi-modal Causal Structure Learning and Root Cause Analysis

Jingrui He Information

University

Position

___

Citations(all)

5109

Citations(since 2020)

2871

Cited By

3153

hIndex(all)

35

hIndex(since 2020)

26

i10Index(all)

114

i10Index(since 2020)

82

Email

University Profile Page

Google Scholar

Jingrui He Skills & Research Interests

Machine Learning

Data Mining

Social Networks

Medical Informatics

Semiconductor Manufacturing

Top articles of Jingrui He

Title

Journal

Author(s)

Publication Date

Meta-learning with neural bandit scheduler

Advances in Neural Information Processing Systems

Yunzhe Qi

Yikun Ban

Tianxin Wei

Jiaru Zou

Huaxiu Yao

...

2024/2/13

Heterogeneous Contrastive Learning for Foundation Models and Beyond

arXiv preprint arXiv:2404.00225

Lecheng Zheng

Baoyu Jing

Zihao Li

Hanghang Tong

Jingrui He

2024/3/30

Graph-Structured Gaussian Processes for Transferable Graph Learning

Advances in Neural Information Processing Systems

Jun Wu

Lisa Ainsworth

Andrew Leakey

Haixun Wang

Jingrui He

2024/2/13

VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections

arXiv preprint arXiv:2403.16030

Dongqi Fu

Zhigang Hua

Yan Xie

Jin Fang

Si Zhang

...

2024/3/24

Adaptive Test-Time Personalization for Federated Learning

Advances in Neural Information Processing Systems

Wenxuan Bao

Tianxin Wei

Haohan Wang

Jingrui He

2024/2/13

Automated Contrastive Learning Strategy Search for Time Series

arXiv preprint arXiv:2403.12641

Baoyu Jing

Yansen Wang

Guoxin Sui

Jing Hong

Jingrui He

...

2024/3/19

SpherE: Expressive and Interpretable Knowledge Graph Embedding for Set Retrieval

arXiv preprint arXiv:2404.19130

Zihao Li

Yuyi Ao

Jingrui He

2024/4/29

Multi-modal Causal Structure Learning and Root Cause Analysis

arXiv preprint arXiv:2402.02357

Lecheng Zheng

Zhengzhang Chen

Jingrui He

Haifeng Chen

2024/2/4

Towards unified multi-modal personalization: Large vision-language models for generative recommendation and beyond

arXiv preprint arXiv:2403.10667

Tianxin Wei

Bowen Jin

Ruirui Li

Hansi Zeng

Zhengyang Wang

...

2024/3/15

Neural Active Learning Beyond Bandits

arXiv preprint arXiv:2404.12522

Yikun Ban

Ishika Agarwal

Ziwei Wu

Yada Zhu

Kommy Weldemariam

...

2024/4/18

FairIF: Boosting Fairness in Deep Learning via Influence Functions with Validation Set Sensitive Attributes

Haonan Wang

Ziwei Wu

Jingrui He

2024/3/4

Boba: Byzantine-robust federated learning with label skewness

Wenxuan Bao

Jun Wu

Jingrui He

2024/4/18

Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey

ACM SIGKDD Explorations Newsletter

Dongqi Fu

Wenxuan Bao

Ross Maciejewski

Hanghang Tong

Jingrui He

2023/6/26

Fairgen: Towards fair graph generation

arXiv preprint arXiv:2303.17743

Lecheng Zheng

Dawei Zhou

Hanghang Tong

Jiejun Xu

Yada Zhu

...

2023/3/30

Trustworthy Transfer Learning: Transferability and Trustworthiness

Jun Wu

Jingrui He

2023/8/6

Connecting Domains and Contrasting Samples: A Ladder for Domain Generalization

Tianxin Wei

Yifan Chen

Xinrui He

Jingrui He

2023/10/13

Contextual bandits with online neural regression

arXiv preprint arXiv:2312.07145

Rohan Deb

Yikun Ban

Shiliang Zuo

Jingrui He

Arindam Banerjee

2023/12/12

Natural and Artificial Dynamics in GNNs: A Tutorial

Dongqi Fu

Zhe Xu

Hanghang Tong

Jingrui He

2023/2/27

Personalized Federated Learning with Parameter Propagation

Jun Wu

Wenxuan Bao

Elizabeth Ainsworth

Jingrui He

2023/8/6

Non-iid transfer learning on graphs

Proceedings of the AAAI Conference on Artificial Intelligence

Jun Wu

Jingrui He

Elizabeth Ainsworth

2023/6/26

See List of Professors in Jingrui He University(University of Illinois at Urbana-Champaign)

Co-Authors

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