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Ruinan Jin
Postdoc, Ohio State University, Columbus
Joined
May 2021
Names
Ruinan Jin
(Preferred)
,
ruinan Jin
Emails
****@126.com
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Postdoc
Ohio State University, Columbus
(osu.edu)
2024
–
2026
Researcher
The Chinese University of Hong Kong
(cuhk.edu.cn)
2022
–
2023
Researcher
Tsinghua University
(mails.tsinghua.edu.cn)
2021
–
2022
PhD student
Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Chinese Academy of Sciences
(amss.ac.cn)
2017
–
2022
Researcher
Alibaba Group
(alibaba-inc.com)
2021
–
2021
Instructor
bytedance
(seed.bytedance.com)
2020
–
2020
Advisors, Relations & Conflicts
No relations added
Expertise
No areas of expertise listed
Publications
NaviAgent: Bilevel Planning on Tool Navigation Graph for Large-Scale Orchestration
Yan Jiang
,
Hao Zhou
,
Lizhong Gu
,
Ai Han
,
Tianlong Li
,
Ruinan Jin
Submitted to ICLR 2026
Readers:
Everyone
TIC-GRPO: Provable and Efficient Optimization for Reinforcement Learning from Human Feedback
Lei pang
,
Ruinan Jin
Submitted to ICLR 2026
Readers:
Everyone
A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD
Ruinan Jin
,
Xiao Li
,
Yaoliang Yu
,
Baoxiang Wang
ICML 2025 poster
Readers:
Everyone
On last-iterate convergence of distributed Stochastic Gradient Descent algorithm with momentum
Difei Cheng
,
Ruinan Jin
,
Hong Qiao
,
Bo Zhang
ICLR 2025 Conference Withdrawn Submission
Readers:
Everyone
The Implicit Bias of Stochastic AdaGrad-Norm on Separable Data
Ruinan Jin
,
Wei Liu
,
Shuai Li
,
Baoxiang Wang
Submitted to ICLR 2025
Readers:
Everyone
A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with Stochastic Gradient Descent
Ruinan Jin
,
Xiao Li
,
Yaoliang Yu
,
Baoxiang Wang
ICLR 2025 Conference Withdrawn Submission
Readers:
Everyone
Asymptotic Convergence of SGD in Non-Convex Problems: A Stopping Times Method with Relaxed Step-size Conditions
Ruinan Jin
,
Xin shi
,
ShaoDong Liu
,
Difei Cheng
Submitted to ICLR 2025
Readers:
Everyone
Few-Shot Diffusion Models Escape the Curse of Dimensionality
Ruofeng Yang
,
Bo Jiang
,
Cheng Chen
,
Ruinan Jin
,
Baoxiang Wang
,
Shuai Li
NeurIPS 2024 poster
Readers:
Everyone
The Implicit Bias of Stochastic AdaGrad-Norm on Separable Data
Ruinan Jin
,
Wei Liu
,
Baoxiang Wang
Submitted to ICLR 2024
Readers:
Everyone
On the Convergence of AdaGrad-Norm for Non-Convex Optimization
Ruinan Jin
,
Xiaoyu Wang
ICLR 2024 Conference Withdrawn Submission
Readers:
Everyone
View all 14 publications
Co-Authors
Ai Han
Baoxiang Wang
Bo Jiang
Bo Zhang
Cheng Chen
Difei Cheng
Hao Zhou
Hong Qiao
Lang Chen
Lei pang
Lizhong Gu
Ruofeng Yang
ShaoDong Liu
Shuai Li
Tianlong Li
Vijay Gupta
Wei Liu
Xiao Li
Xiaoyu Wang
Xin shi
Xingkang He
Yan Jiang
Yaoliang Yu
Yiwei Wang
Yu Xing