Carnegie Mellon University, Pittsburgh, PA, USA
Email: jiinw [at] andrew [dot] cmu [dot] edu
LinkedIn / Google Scholar
I am a fourth-year PhD student in Electrical and Computer Engineering department at Carnegie Mellon University (CMU), fortunate to be advised by Yuejie Chi and Gauri Joshi. Before coming to CMU, I was a machine learning engineer at NAVER Search. Previously, I received my MS in Electrical Engineering (advised by Yung Yi) and BS in Mathematical Sciences at Korea Advanced Institute of Science and Technology (KAIST).
My research interests lie in reinforcement learning, federated learning, and statistical inference.
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices
Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi
ICML, 2024
[arxiv]
The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond
Jiin Woo, Gauri Joshi, Yuejie Chi
ICML, 2023
[arxiv][slides]
Iterative Learning of Graph Connectivity from Partially‑Observed Cascade Samples
Jiin Woo, Jungseul Ok, Yung Yi
ACM MobiHoc, 2020
[paper]
Information Source Finding in Networks: Querying With Budgets
Jaeyoung Choi, Sangwoo Moon, Jiin Woo, KyungHwan Son, Jinwoo Shin, Yung Yi
IEEE/ACM Transactions on Networking, 2020
[paper]
Rumor Source Detection under Querying with Untruthful Answers
Jaeyoung Choi, Sangwoo Moon, Jiin Woo, KyungHwan Son, Jinwoo Shin, Yung Yi
IEEE INFOCOM, 2017
[paper]