Ruinan Jin

According to our database, Ruinan Jin authored at least 31 papers between 2020 and 2025.

Collaborative distances:

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

2025

On the Theory and Practice of GRPO: A Trajectory-Corrected Approach with Fast Convergence.

Lei Pang, Ruinan Jin

CoRR, August, 2025

See-in-Pairs: Reference Image-Guided Comparative Vision-Language Models for Medical Diagnosis.

Ruinan Jin, Gexin Huang, Xinwei Shen, Qiong Zhang, Yan Shuo Tan, Xiaoxiao Li

CoRR, June, 2025

Can Common VLMs Rival Medical VLMs? Evaluation and Strategic Insights.

Yuan Zhong, Ruinan Jin, Xiaoxiao Li, Qi Dou

CoRR, June, 2025

Stochastic Gradient Descent in Non-Convex Problems: Asymptotic Convergence with Relaxed Step-Size via Stopping Time Methods.

Ruinan Jin, Difei Cheng, Hong Qiao, Xin Shi, Shaodong Liu, Bo Zhang

CoRR, April, 2025

Interactive Tumor Progression Modeling via Sketch-Based Image Editing.

Gexin Huang, Ruinan Jin, Yucheng Tang, Can Zhao, Tatsuya Harada, Xiaoxiao Li, Gu Lin

CoRR, March, 2025

Federated Learning on Virtual Heterogeneous Data with Local-Global Dataset Distillation.

Chun-Yin Huang, Ruinan Jin, Can Zhao, Daguang Xu, Xiaoxiao Li

Trans. Mach. Learn. Res., 2025

Can Textual Gradient Work in Federated Learning?

Minghui Chen, Ruinan Jin, Wenlong Deng, Yuanyuan Chen, Zhi Huang, Han Yu, Xiaoxiao Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Reliable High Throughput Aerial Acoustic Communication for Mobile Network.

Chao Cai, Ruinan Jin, Jiangtian Nie, Jiawen Kang, Yang Zhang, Jun Luo

IEEE Trans. Veh. Technol., April, 2024

Careful Seeding for k-Medois Clustering with Incremental k-Means++ Initialization.

Difei Cheng, Yunfeng Zhang, Ruinan Jin

J. Circuits Syst. Comput., 2024

A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD.

Ruinan Jin, Xiao Li, Yaoliang Yu, Baoxiang Wang

CoRR, 2024

Asymptotic and Non-Asymptotic Convergence Analysis of AdaGrad for Non-Convex Optimization via Novel Stopping Time-based Analysis.

Ruinan Jin, Xiaoyu Wang, Baoxiang Wang

CoRR, 2024

FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models.

Ruinan Jin, Zikang Xu, Yuan Zhong, Qiongsong Yao, Qi Dou, S. Kevin Zhou, Xiaoxiao Li

CoRR, 2024

Universal Debiased Editing on Foundation Models for Fair Medical Image Classification.

Ruinan Jin, Wenlong Deng, Minghui Chen, Xiaoxiao Li

CoRR, 2024

Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP.

Ruinan Jin, Chun-Yin Huang, Chenyu You, Xiaoxiao Li

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

Few-Shot Diffusion Models Escape the Curse of Dimensionality.

Ruofeng Yang, Bo Jiang, Cheng Chen, Ruinan Jin, Baoxiang Wang, Shuai Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models.

Ruinan Jin, Zikang Xu, Yuan Zhong, Qingsong Yao, Qi Dou, S. Kevin Zhou, Xiaoxiao Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Fairness in Classifying and Grouping Health Equity Information.

Ruinan Jin, Xiaoxiao Li, Lorraine J. Block, Ivan Beschastnikh, Leanne M. Currie, Charlene Esteban Ronquillo

Proceedings of the Innovation in Applied Nursing Informatics, 2024

Debiased Noise Editing on Foundation Models for Fair Medical Image Classification.

Ruinan Jin, Wenlong Deng, Minghui Chen, Xiaoxiao Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

On Stationary Point Convergence of PPO-Clip.

Ruinan Jin, Shuai Li, Baoxiang Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Backdoor attack and defense in federated generative adversarial network-based medical image synthesis.

Ruinan Jin, Xiaoxiao Li

Medical Image Anal., December, 2023

PURE: Passive Multi-Person Identification via Footstep for Mobile Service Networks.

Chao Cai, Ruinan Jin, Jiangtian Nie, Jiawen Kang, Yang Zhang, Jun Luo

IEEE Trans. Veh. Technol., September, 2023

Toward Practical Lightweight Passive Human Tracking Using WiFi Sensing.

Ruinan Jin, Junyi Zhou, Jinghao Hu, Peng Guo, Chao Cai, Yilan Wu

IEEE Internet Things J., August, 2023

Fast density estimation for density-based clustering methods.

Difei Cheng, Ruihang Xu, Bo Zhang, Ruinan Jin

Neurocomputing, May, 2023

Forgettable Federated Linear Learning with Certified Data Removal.

Ruinan Jin, Minghui Chen, Qiong Zhang, Xiaoxiao Li

CoRR, 2023

Federated Virtual Learning on Heterogeneous Data with Local-global Distillation.

Chun-Yin Huang, Ruinan Jin, Can Zhao, Daguang Xu, Xiaoxiao Li

CoRR, 2023

2022

Revisit last-iterate convergence of mSGD under milder requirement on step size.

Ruinan Jin, Xingkang He, Lang Chen, Difei Cheng, Vijay Gupta

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Backdoor Attack is a Devil in Federated GAN-Based Medical Image Synthesis.

Ruinan Jin, Xiaoxiao Li

Proceedings of the Simulation and Synthesis in Medical Imaging, 2022

On the Convergence of mSGD and AdaGrad for Stochastic Optimization.

Ruinan Jin, Yu Xing, Xingkang He

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

MotionBeep: Enabling Fitness Game for Collocated Players With Acoustic-Enabled IoT Devices.

Ruinan Jin, Chao Cai, Tianping Deng, Qingxia Li, Rong Zheng

IEEE Internet Things J., 2021

PURE: Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition.

Chao Cai, Ruinan Jin, Peng Wang, Liyuan Ye, Hongbo Jiang, Jun Luo

CoRR, 2021

2020

Convergence of Momentum-Based Stochastic Gradient Descent.

Ruinan Jin, Xingkang He

Proceedings of the 16th IEEE International Conference on Control & Automation, 2020