Ruoming Jin

Professor, Kent State University

Joined

June 2019

Names

Ruoming Jin (Preferred)

Emails

****@cs.kent.edu (Confirmed)

****@graphsql.com (Confirmed)

****@kent.edu (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Professor

Kent State University (kent.edu)

2019 – Present

Advisors, Relations & Conflicts

PhD Advisor

Gagan Agrawal

1999 – 2005

Expertise

Deep Learning

Recommendation

Graph Analytics

Big Data

Present

Publications

On Training Mixture-of-Experts: A Social Choice Perspective
Jingyong Ye, Yao Zhang, Jintao Chen, Zihan Zhou, Xin Liu, Mali Zhu, Yang Zhou, Ruoming Jin, Lemao Liu, Dejing Dou
- Submitted to ICLR 2026
- Readers: Everyone
Adversarial Advertisement in Text-to-Image Generative Models
Tianshi Che, Yang Zhou, Yushan Mu, Zijie Zhang, Panqiu Xia, Zeru Zhang, Da Yan, Wei Zhang, Ruoming Jin, Dejing Dou
- Submitted to ICLR 2026
- Readers: Everyone
Automatic Dialectic Jailbreak: A Framework for Generating Effective Jailbreak Strategies
Jianghai Yu, Yang Zhou, Zihan Zhou, Lingjuan Lyu, Da Yan, Ruoming Jin, Dejing Dou
- ICLR 2026 Poster
- Readers: Everyone
APlaud: Adaptive Personalized Low-Rank Decomposition for User-Specific LLM
Ruoming Jin, Xinyu Li, Jianfeng Zhu, Ruixin Guo, Zhi Liu
- Submitted to ICLR 2026
- Readers: Everyone
Generalizing Linear Autoencoder Recommenders with Decoupled Expected Quadratic Loss
Ruixin Guo, Xinyu Li, Hao Zhou, Yang Zhou, Ruoming Jin
- ICLR 2026 Poster
- Readers: Everyone
Noise-Free Dynamic Rank-Adaptation via Riemannian Methods in Federated Fine-Tuning
Zihan Zhou, Yang Zhou, Tianshi Che, Zeru Zhang, Jiaxiang Ren, Da Yan, Zhe Jiang, yelong shen, Ruoming Jin, Jianfeng Gao
- AISTATS 2026 Poster
- Readers: Everyone
Stealthy Jailbreaking Attacks via Hyperbolic Hamiltonian Dynamics and Möbius Fusion
Zihan Zhou, Yang Zhou, Jianghai Yu, Ruoming Jin, Dejing Dou, Lingjuan Lyu, Da Yan
- Submitted to ICLR 2026
- Readers: Everyone
$\delta$-STEAL: LLM Stealing Attack with Local Differential Privacy
Kieu Dang, Phung Lai, Hai Phan, yelong shen, Ruoming Jin, Abdallah Khreishah
- ACML 2025 Conference Track
- Readers: Everyone
On item-sampling evaluation for recommender system
Zhi Liu, Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao
- OpenReview Archive Direct Upload
- Readers: Everyone
Towards Reliable Item Sampling for Recommendation Evaluation
Zhi Liu, Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao
- Proceedings of the AAAI Conference on Artificial Intelligence, vol. 37(4), pp. 4409–4416
- Readers: Everyone

View all 37 publications

Co-Authors

View all 73 co-authors