Jin, Ruinan

8 publications

ICML 2025 A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD Ruinan Jin, Xiao Li, Yaoliang Yu, Baoxiang Wang

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

TMLR 2025 Federated Learning on Virtual Heterogeneous Data with Local-Global Dataset Distillation Chun-Yin Huang, Ruinan Jin, Can Zhao, Daguang Xu, Xiaoxiao Li

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

NeurIPS 2024 Few-Shot Diffusion Models Escape the Curse of Dimensionality Ruofeng Yang, Bo Jiang, Cheng Chen, Ruinan Jin, Baoxiang Wang, Shuai Li

ICLR 2024 On Stationary Point Convergence of PPO-CLIP Ruinan Jin, Shuai Li, Baoxiang Wang

ICLR 2022 On the Convergence of mSGD and AdaGrad for Stochastic Optimization Ruinan Jin, Yu Xing, Xingkang He

NeurIPS 2022 Revisit Last-Iterate Convergence of mSGD Under Milder Requirement on Step Size Ruinan Jin, Xingkang He, Lang Chen, Difei Cheng, Vijay Gupta