Ruoming Jin

Ruoming Jin

Kent State University

H-index: 46

North America-United States

About Ruoming Jin

Ruoming Jin, With an exceptional h-index of 46 and a recent h-index of 31 (since 2020), a distinguished researcher at Kent State University, specializes in the field of Big Data, Deep Learning, Graph Analytics, Graph Database, Data Mining.

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

On item-sampling evaluation for recommender system

Aedfl: efficient asynchronous decentralized federated learning with heterogeneous devices

Federated Joint Learning of Robot Networks in Stroke Rehabilitation

Towards reliable item sampling for recommendation evaluation

Zone-based federated learning for mobile sensing data

(Debiased) Contrastive Learning Loss for Recommendation (Technical Report)

iqan: Fast and accurate vector search with efficient intra-query parallelism on multi-core architectures

Scalable Deep Metric Learning on Attributed Graphs

Ruoming Jin Information

University

Position

Professor of Computer Science

Citations(all)

6829

Citations(since 2020)

2647

Cited By

5219

hIndex(all)

46

hIndex(since 2020)

31

i10Index(all)

108

i10Index(since 2020)

71

Email

University Profile Page

Kent State University

Google Scholar

View Google Scholar Profile

Ruoming Jin Skills & Research Interests

Big Data

Deep Learning

Graph Analytics

Graph Database

Data Mining

Top articles of Ruoming Jin

Title

Journal

Author(s)

Publication Date

On item-sampling evaluation for recommender system

ACM Transactions on Recommender Systems

Dong Li

Ruoming Jin

Zhenming Liu

Bin Ren

Jing Gao

...

2024/3/7

Aedfl: efficient asynchronous decentralized federated learning with heterogeneous devices

Ji Liu

Tianshi Che

Yang Zhou

Ruoming Jin

Huaiyu Dai

...

2024

Federated Joint Learning of Robot Networks in Stroke Rehabilitation

arXiv preprint arXiv:2403.05472

Xinyu Jiang

Yibei Guo

Mengsha Hu

Ruoming Jin

Hai Phan

...

2024/3/8

Towards reliable item sampling for recommendation evaluation

Proceedings of the AAAI Conference on Artificial Intelligence

Dong Li

Ruoming Jin

Zhenming Liu

Bin Ren

Jing Gao

...

2023/6/26

Zone-based federated learning for mobile sensing data

Xiaopeng Jiang

Thinh On

NhatHai Phan

Hessamaldin Mohammadi

Vijaya Datta Mayyuri

...

2023/3/13

(Debiased) Contrastive Learning Loss for Recommendation (Technical Report)

arXiv preprint arXiv:2312.08517

Ruoming Jin

Dong Li

2023/12/13

iqan: Fast and accurate vector search with efficient intra-query parallelism on multi-core architectures

Zhen Peng

Minjia Zhang

Kai Li

Ruoming Jin

Bin Ren

2023/2/25

Scalable Deep Metric Learning on Attributed Graphs

Xiang Li

Gagan Agrawal

Ruoming Jin

Rajiv Ramnath

2023/12/11

Investigating COVID-19’s Impact on Mental Health: Trend and Thematic Analysis of Reddit Users’ Discourse

Journal of medical Internet research

Jianfeng Zhu

Neha Yalamanchi

Ruoming Jin

Deric R Kenne

NhatHai Phan

2023/7/12

Speed-ANN: Low-Latency and High-Accuracy Nearest Neighbor Search via Intra-Query Parallelism

arXiv preprint arXiv:2201.13007

Zhen Peng

Minjia Zhang

Kai Li

Ruoming Jin

Bin Ren

2022/1/31

Lifelong DP: Consistently Bounded Differential Privacy in Lifelong Machine Learning

Phung Lai

Han Hu

Hai Phan

Ruoming Jin

My Thai

...

2022/11/28

Flsys: Toward an open ecosystem for federated learning mobile apps

IEEE Transactions on Mobile Computing

Xiaopeng Jiang

Han Hu

Thinh On

Phung Lai

Vijaya Datta Mayyuri

...

2022/11/21

Deep Graph Clustering with Random-walk based Scalable Learning

Xiang Li

Dong Li

Ruoming Jin

Rajiv Ramnath

Gagan Agrawal

2022/11/10

System and method for enhanced detection of fraudulent electronic transactions

2022/8/9

Generation-Augmented Query Expansion For Code Retrieval

arXiv preprint arXiv:2212.10692

Dong Li

Yelong Shen

Ruoming Jin

Yi Mao

Kuan Wang

...

2022/12/20

Distinguishing the effect of time spent at home during covid-19 pandemic on the mental health of urban and suburban college students using cell phone geolocation

International journal of environmental research and public health

Pelin Ayranci

Cesar Bandera

NhatHai Phan

Ruoming Jin

Dong Li

...

2022/6/19

Federated fingerprint learning with heterogeneous architectures

Tianshi Che

Zijie Zhang

Yang Zhou

Xin Zhao

Ji Liu

...

2022/11/28

On estimating recommendation evaluation metrics under sampling

Proceedings of the AAAI Conference on Artificial Intelligence

Ruoming Jin

Dong Li

Benjamin Mudrak

Jing Gao

Zhi Liu

2021/5/18

Unsupervised adversarial network alignment with reinforcement learning

ACM Transactions on Knowledge Discovery from Data (TKDD)

Yang Zhou

Jiaxiang Ren

Ruoming Jin

Zijie Zhang

Jingyi Zheng

...

2022/6/1

Robust network alignment via attack signal scaling and adversarial perturbation elimination

Yang Zhou

Zeru Zhang

Sixing Wu

Victor Sheng

Xiaoying Han

...

2021/4/19

See List of Professors in Ruoming Jin University(Kent State University)

Co-Authors

H-index: 194
Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

H-index: 97
Tang Jie

Tang Jie

Tsinghua University

H-index: 84
Joel Saltz

Joel Saltz

Stony Brook University

H-index: 66
Xingquan (Hill) Zhu

Xingquan (Hill) Zhu

Florida Atlantic University

H-index: 44
Dejing Dou

Dejing Dou

University of Oregon

H-index: 35
Feodor F. Dragan

Feodor F. Dragan

Kent State University

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