Ruinan Jin - RankMe

43 papers A* 7Journal 31Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bridging Online and Offline RL: Contextual Bandit Learning for Multi-Turn Code Generation. CoRR Ziru Chen, Dongdong Chen, Ruinan Jin, Yingbin Liang, Yujia Xie, Huan Sun
2026	J	`jnl`	Convergence analysis of the last iterate in distributed stochastic gradient descent with momentum. Neurocomputing Difei Cheng, Ruinan Jin, Bo Zhang
2026	J	`jnl`	DUCX: Decomposing Unfairness in Tool-Using Chest X-ray Agents. CoRR Zikang Xu, Ruinan Jin, Xiaoxiao Li
2026	J	`jnl`	RVCBench: Benchmarking the Robustness of Voice Cloning Across Modern Audio Generation Models. CoRR Xinting Liao, Ruinan Jin, Hanlin Yu, Deval Pandya, Xiaoxiao Li
2026	J	`jnl`	Why Adam Can Beat SGD: Second-Moment Normalization Yields Sharper Tails. CoRR Ruinan Jin, Yingbin Liang, Shaofeng Zou
2025	J	`jnl`	A Closer Look at Personalized Fine-Tuning in Heterogeneous Federated Learning. CoRR Minghui Chen, Hrad Ghoukasian, Ruinan Jin, Zehua Wang, Sai Praneeth Karimireddy, Xiaoxiao Li
2025	A*	`conf`	A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD. ICML Ruinan Jin, Xiao Li, Yaoliang Yu, Baoxiang Wang
2025	J	`jnl`	Can Common VLMs Rival Medical VLMs? Evaluation and Strategic Insights. CoRR Yuan Zhong, Ruinan Jin, Xiaoxiao Li, Qi Dou
2025	A*	`conf`	Can Textual Gradient Work in Federated Learning? ICLR Minghui Chen, Ruinan Jin, Wenlong Deng, Yuanyuan Chen, Zhi Huang, Han Yu, Xiaoxiao Li
2025	J	`jnl`	Can Textual Gradient Work in Federated Learning? CoRR Minghui Chen, Ruinan Jin, Wenlong Deng, Yuanyuan Chen, Zhi Huang, Han Yu, Xiaoxiao Li
2025	J	`jnl`	Federated Learning on Virtual Heterogeneous Data with Local-Global Dataset Distillation. Trans. Mach. Learn. Res. Chun-Yin Huang, Ruinan Jin, Can Zhao, Daguang Xu, Xiaoxiao Li
2025	J	`jnl`	Interactive Tumor Progression Modeling via Sketch-Based Image Editing. CoRR Gexin Huang, Ruinan Jin, Yucheng Tang, Can Zhao, Tatsuya Harada, Xiaoxiao Li, Gu Lin
2025	J	`jnl`	On the Theory and Practice of GRPO: A Trajectory-Corrected Approach with Fast Convergence. CoRR Lei Pang, Ruinan Jin
2025	J	`jnl`	See-in-Pairs: Reference Image-Guided Comparative Vision-Language Models for Medical Diagnosis. CoRR Ruinan Jin, Gexin Huang, Xinwei Shen, Qiong Zhang, Yan Shuo Tan, Xiaoxiao Li
2025	J	`jnl`	Stochastic Gradient Descent in Non-Convex Problems: Asymptotic Convergence with Relaxed Step-Size via Stopping Time Methods. CoRR Ruinan Jin, Difei Cheng, Hong Qiao, Xin Shi, Shaodong Liu, Bo Zhang
2024	J	`jnl`	A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD. CoRR Ruinan Jin, Xiao Li, Yaoliang Yu, Baoxiang Wang
2024	J	`jnl`	Asymptotic and Non-Asymptotic Convergence Analysis of AdaGrad for Non-Convex Optimization via Novel Stopping Time-based Analysis. CoRR Ruinan Jin, Xiaoyu Wang, Baoxiang Wang
2024	—	`conf`	Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP. SaTML Ruinan Jin, Chun-Yin Huang, Chenyu You, Xiaoxiao Li
2024	J	`jnl`	Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP. CoRR Ruinan Jin, Chun-Yin Huang, Chenyu You, Xiaoxiao Li
2024	J	`jnl`	Careful Seeding for k-Medois Clustering with Incremental k-Means++ Initialization. J. Circuits Syst. Comput. Difei Cheng, Yunfeng Zhang, Ruinan Jin
2024	—	`conf`	Debiased Noise Editing on Foundation Models for Fair Medical Image Classification. MICCAI (10) Ruinan Jin, Wenlong Deng, Minghui Chen, Xiaoxiao Li
2024	A*	`conf`	FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models. NeurIPS Ruinan Jin, Zikang Xu, Yuan Zhong, Qingsong Yao, Qi Dou, S. Kevin Zhou, Xiaoxiao Li
2024	J	`jnl`	FairMedFM: Fairness Benchmarking for Medical Imaging Foundation Models. CoRR Ruinan Jin, Zikang Xu, Yuan Zhong, Qiongsong Yao, Qi Dou, S. Kevin Zhou, Xiaoxiao Li
2024	—	`conf`	Fairness in Classifying and Grouping Health Equity Information. Nursing Informatics Ruinan Jin, Xiaoxiao Li, Lorraine J. Block, Ivan Beschastnikh, Leanne M. Currie, Charlene Esteban Ronquillo
2024	A*	`conf`	Few-Shot Diffusion Models Escape the Curse of Dimensionality. NeurIPS Ruofeng Yang, Bo Jiang, Cheng Chen, Ruinan Jin, Baoxiang Wang, Shuai Li
2024	A*	`conf`	On Stationary Point Convergence of PPO-Clip. ICLR Ruinan Jin, Shuai Li, Baoxiang Wang
2024	J	`jnl`	Reliable High Throughput Aerial Acoustic Communication for Mobile Network. IEEE Trans. Veh. Technol. Chao Cai, Ruinan Jin, Jiangtian Nie, Jiawen Kang, Yang Zhang, Jun Luo
2024	J	`jnl`	Universal Debiased Editing on Foundation Models for Fair Medical Image Classification. CoRR Ruinan Jin, Wenlong Deng, Minghui Chen, Xiaoxiao Li
2023	J	`jnl`	Backdoor attack and defense in federated generative adversarial network-based medical image synthesis. Medical Image Anal. Ruinan Jin, Xiaoxiao Li
2023	J	`jnl`	Fast density estimation for density-based clustering methods. Neurocomputing Difei Cheng, Ruihang Xu, Bo Zhang, Ruinan Jin
2023	J	`jnl`	Federated Virtual Learning on Heterogeneous Data with Local-global Distillation. CoRR Chun-Yin Huang, Ruinan Jin, Can Zhao, Daguang Xu, Xiaoxiao Li
2023	J	`jnl`	Forgettable Federated Linear Learning with Certified Data Removal. CoRR Ruinan Jin, Minghui Chen, Qiong Zhang, Xiaoxiao Li
2023	J	`jnl`	PURE: Passive Multi-Person Identification via Footstep for Mobile Service Networks. IEEE Trans. Veh. Technol. Chao Cai, Ruinan Jin, Jiangtian Nie, Jiawen Kang, Yang Zhang, Jun Luo
2023	J	`jnl`	Toward Practical Lightweight Passive Human Tracking Using WiFi Sensing. IEEE Internet Things J. Ruinan Jin, Junyi Zhou, Jinghao Hu, Peng Guo, Chao Cai, Yilan Wu
2022	J	`jnl`	Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis. CoRR Ruinan Jin, Xiaoxiao Li
2022	J	`jnl`	Backdoor Attack is A Devil in Federated GAN-based Medical Image Synthesis. CoRR Ruinan Jin, Xiaoxiao Li
2022	—	`conf`	Backdoor Attack is a Devil in Federated GAN-Based Medical Image Synthesis. SASHIMI@MICCAI Ruinan Jin, Xiaoxiao Li
2022	A*	`conf`	On the Convergence of mSGD and AdaGrad for Stochastic Optimization. ICLR Ruinan Jin, Yu Xing, Xingkang He
2022	J	`jnl`	On the Convergence of mSGD and AdaGrad for Stochastic Optimization. CoRR Ruinan Jin, Yu Xing, Xingkang He
2022	A*	`conf`	Revisit last-iterate convergence of mSGD under milder requirement on step size. NeurIPS Ruinan Jin, Xingkang He, Lang Chen, Difei Cheng, Vijay Gupta
2021	J	`jnl`	MotionBeep: Enabling Fitness Game for Collocated Players With Acoustic-Enabled IoT Devices. IEEE Internet Things J. Ruinan Jin, Chao Cai, Tianping Deng, Qingxia Li, Rong Zheng
2021	J	`jnl`	PURE: Passive mUlti-peRson idEntification via Deep Footstep Separation and Recognition. CoRR Chao Cai, Ruinan Jin, Peng Wang, Liyuan Ye, Hongbo Jiang, Jun Luo
2020	—	`conf`	Convergence of Momentum-Based Stochastic Gradient Descent. ICCA Ruinan Jin, Xingkang He