Convergence of Momentum-Based Stochastic Gradient Descent. - Ruinan Jin; Xingkang He (ICCA, 2020)

PURE: Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition. - Chao Cai 001; Ruinan Jin; Peng Wang; Liyuan Ye; Hongbo Jiang 001; Jun Luo 001 (CoRR, 2021)

MotionBeep: Enabling Fitness Game for Collocated Players With Acoustic-Enabled IoT Devices. - Ruinan Jin; Chao Cai 001; Tianping Deng; Qingxia Li; Rong Zheng 001 (IEEE Internet Things J., 2021)

On the Convergence of mSGD and AdaGrad for Stochastic Optimization. - Ruinan Jin; Yu Xing; Xingkang He (ICLR, 2022)

Backdoor Attack is a Devil in Federated GAN-Based Medical Image Synthesis. - Ruinan Jin; Xiaoxiao Li (SASHIMI@MICCAI, 2022)

Revisit last-iterate convergence of mSGD under milder requirement on step size. - Ruinan Jin; Xingkang He; Lang Chen; Difei Cheng; Vijay Gupta 001 (NeurIPS, 2022)

Federated Virtual Learning on Heterogeneous Data with Local-global Distillation. - Chun-Yin Huang; Ruinan Jin; Can Zhao 001; Daguang Xu; Xiaoxiao Li (CoRR, 2023)

Forgettable Federated Linear Learning with Certified Data Removal. - Ruinan Jin; Minghui Chen; Qiong Zhang; Xiaoxiao Li (CoRR, 2023)

Fast density estimation for density-based clustering methods. - Difei Cheng; Ruihang Xu; Bo Zhang; Ruinan Jin (Neurocomputing, 2023)

Toward Practical Lightweight Passive Human Tracking Using WiFi Sensing. - Ruinan Jin; Junyi Zhou; Jinghao Hu; Peng Guo 001; Chao Cai 001; Yilan Wu (IEEE Internet Things J., 2023)

PURE: Passive Multi-Person Identification via Footstep for Mobile Service Networks. - Chao Cai 001; Ruinan Jin; Jiangtian Nie; Jiawen Kang 001; Yang Zhang 025; Jun Luo 001 (IEEE Trans. Veh. Technol., 2023)

Backdoor attack and defense in federated generative adversarial network-based medical image synthesis. - Ruinan Jin; Xiaoxiao Li (Medical Image Anal., 2023)

On Stationary Point Convergence of PPO-Clip. - Ruinan Jin; Shuai Li 010; Baoxiang Wang 001 (ICLR, 2024)

Debiased Noise Editing on Foundation Models for Fair Medical Image Classification. - Ruinan Jin; Wenlong Deng; Minghui Chen; Xiaoxiao Li (MICCAI (10), 2024)

Fairness in Classifying and Grouping Health Equity Information. - Ruinan Jin; Xiaoxiao Li; Lorraine J. Block; Ivan Beschastnikh; Leanne M. Currie; Charlene Esteban Ronquillo (Nursing Informatics, 2024)

FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models. - Ruinan Jin; Zikang Xu; Yuan Zhong 003; Qingsong Yao; Qi Dou 001; S. Kevin Zhou; Xiaoxiao Li (NeurIPS, 2024)

Few-Shot Diffusion Models Escape the Curse of Dimensionality. - Ruofeng Yang; Bo Jiang; Cheng Chen 015; Ruinan Jin; Baoxiang Wang 001; Shuai Li 010 (NeurIPS, 2024)

Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP. - Ruinan Jin; Chun-Yin Huang; Chenyu You; Xiaoxiao Li (SaTML, 2024)

Universal Debiased Editing on Foundation Models for Fair Medical Image Classification. - Ruinan Jin; Wenlong Deng; Minghui Chen; Xiaoxiao Li (CoRR, 2024)

FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models. - Ruinan Jin; Zikang Xu; Yuan Zhong 003; Qiongsong Yao; Qi Dou 001; S. Kevin Zhou; Xiaoxiao Li (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 001 (CoRR, 2024)

A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD. - Ruinan Jin; Xiao Li; Yaoliang Yu; Baoxiang Wang 001 (CoRR, 2024)

Careful Seeding for k-Medois Clustering with Incremental k-Means++ Initialization. - Difei Cheng; Yunfeng Zhang; Ruinan Jin (J. Circuits Syst. Comput., 2024)

Reliable High Throughput Aerial Acoustic Communication for Mobile Network. - Chao Cai 001; Ruinan Jin; Jiangtian Nie; Jiawen Kang 001; Yang Zhang 025; Jun Luo 001 (IEEE Trans. Veh. Technol., 2024)

Can Textual Gradient Work in Federated Learning? - Minghui Chen; Ruinan Jin; Wenlong Deng; Yuanyuan Chen; Zhi Huang; Han Yu 001; Xiaoxiao Li (ICLR, 2025)

Federated Learning on Virtual Heterogeneous Data with Local-Global Dataset Distillation. - Chun-Yin Huang; Ruinan Jin; Can Zhao 001; Daguang Xu; Xiaoxiao Li (Trans. Mach. Learn. Res., 2025)

Interactive Tumor Progression Modeling via Sketch-Based Image Editing. - Gexin Huang; Ruinan Jin; Yucheng Tang; Can Zhao 001; Tatsuya Harada; Xiaoxiao Li; Gu Lin (CoRR, 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, 2025)

Can Common VLMs Rival Medical VLMs? Evaluation and Strategic Insights. - Yuan Zhong 003; Ruinan Jin; Xiaoxiao Li; Qi Dou 001 (CoRR, 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, 2025)

On the Theory and Practice of GRPO: A Trajectory-Corrected Approach with Fast Convergence. - Lei Pang; Ruinan Jin (CoRR, 2025)