Rongyi Zhu

According to our database, Rongyi Zhu authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Video Understanding With Large Language Models: A Survey.

Yunlong Tang, Jing Bi, Siting Xu, Luchuan Song, Susan Liang, Teng Wang, Daoan Zhang, Jie An, Jingyang Lin, Rongyi Zhu, Ali Vosoughi, Chao Huang, Zeliang Zhang, Pinxin Liu, Mingqian Feng, Feng Zheng, Jianguo Zhang, Ping Luo, Jiebo Luo, Chenliang Xu

IEEE Trans. Circuits Syst. Video Technol., February, 2026

MFTMamba-Unet: Multi-scale fusion transformer and mamba for segmenting small-size medical lesion.

Minfeng Wu, Rongyi Zhu, Cheng Wang

Biomed. Signal Process. Control., 2026

2025

Self-Improving Model Steering.

Rongyi Zhu, Yuhui Wang, Tanqiu Jiang, Jiacheng Liang, Ting Wang

CoRR, July, 2025

Robustifying Vision-Language Models via Dynamic Token Reweighting.

Tanqiu Jiang, Jiacheng Liang, Rongyi Zhu, Jiawei Zhou, Fenglong Ma, Ting Wang

CoRR, May, 2025

Self-Destructive Language Model.

Yuhui Wang, Rongyi Zhu, Ting Wang

CoRR, May, 2025

AutoRAN: Weak-to-Strong Jailbreaking of Large Reasoning Models.

Jiacheng Liang, Tanqiu Jiang, Yuhui Wang, Rongyi Zhu, Fenglong Ma, Ting Wang

CoRR, May, 2025

GraphRAG under Fire.

Jiacheng Liang, Yuhui Wang, Changjiang Li, Rongyi Zhu, Tanqiu Jiang, Neil Gong, Ting Wang

CoRR, January, 2025

Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning.

Xiao-Yang Liu, Rongyi Zhu, Daochen Zha, Jiechao Gao, Shan Zhong, Matt White, Meikang Qiu

ACM Trans. Manag. Inf. Syst., 2025

ST-DPGAN: A Privacy-Preserving Framework for Spatiotemporal Data Generation.

Wei Shao, Rongyi Zhu, Cai Yang, Chandra Thapa, Muhammad Ejaz Ahmed, Seyit Camtepe, Rui Zhang, Du Yong Kim, Hamid Menouar, Flora D. Salim

IEEE Internet Things J., 2025

Steering Protein Language Models.

Long-Kai Huang, Rongyi Zhu, Bing He, Jianhua Yao

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Bag of Tricks to Boost Adversarial Transferability.

Zeliang Zhang, Rongyi Zhu, Wei Yao, Xiaosen Wang, Chenliang Xu

CoRR, 2024

Learning to Transform Dynamically for Better Adversarial Transferability.

Rongyi Zhu, Zeliang Zhang, Zhuo Liu, Chenliang Xu, Susan Liang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning.

Xiao-Yang Liu, Rongyi Zhu, Daochen Zha, Jiechao Gao, Shan Zhong, Meikang Qiu

CoRR, 2023

Video Understanding with Large Language Models: A Survey.

Yunlong Tang, Jing Bi, Siting Xu, Luchuan Song, Susan Liang, Teng Wang, Daoan Zhang, Jie An, Jingyang Lin, Rongyi Zhu, Ali Vosoughi, Chao Huang, Zeliang Zhang, Feng Zheng, Jianguo Zhang, Ping Luo, Jiebo Luo, Chenliang Xu

CoRR, 2023