A PRAM and NAND flash hybrid architecture for high-performance embedded storage subsystems. - Jin Kyu Kim; Hyung Gyu Lee; Shinho Choi; Kyoung Il Bahng (EMSOFT, 2008)

State feedback fuzzy-model-based control for discrete-time markovian jump nonlinear systems with time-varying delays. - Min Kook Song; Jin Bae Park; Young Hoon Joo; Jin Kyu Kim (FUZZ-IEEE, 2009)

Solving the Straggler Problem with Bounded Staleness. - James Cipar; Qirong Ho; Jin Kyu Kim; Seunghak Lee; Gregory R. Ganger; Garth Gibson; Kimberly Keeton; Eric P. Xing (HotOS, 2013)

More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server. - Qirong Ho; James Cipar; Henggang Cui; Seunghak Lee; Jin Kyu Kim; Phillip B. Gibbons; Garth A. Gibson; Gregory R. Ganger; Eric P. Xing (NIPS, 2013)

Petuum: A Framework for Iterative-Convergent Distributed ML. - Wei Dai 003; Jinliang Wei; Xun Zheng; Jin Kyu Kim; Seunghak Lee; Junming Yin; Qirong Ho; Eric P. Xing (CoRR, 2013)

Structure-Aware Dynamic Scheduler for Parallel Machine Learning. - Seunghak Lee; Jin Kyu Kim; Qirong Ho; Garth A. Gibson; Eric P. Xing (CoRR, 2013)

On Model Parallelization and Scheduling Strategies for Distributed Machine Learning. - Seunghak Lee; Jin Kyu Kim; Xun Zheng; Qirong Ho; Garth A. Gibson; Eric P. Xing (NIPS, 2014)

Exploiting Bounded Staleness to Speed Up Big Data Analytics. - Henggang Cui; James Cipar; Qirong Ho; Jin Kyu Kim; Seunghak Lee; Abhimanu Kumar; Jinliang Wei; Wei Dai 003; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (USENIX ATC, 2014)

Primitives for Dynamic Big Model Parallelism. - Seunghak Lee; Jin Kyu Kim; Xun Zheng; Qirong Ho; Garth A. Gibson; Eric P. Xing (CoRR, 2014)

Large Scale Distributed Multiclass Logistic Regression. - Pengtao Xie; Jin Kyu Kim; Eric P. Xing (CoRR, 2014)

Model-Parallel Inference for Big Topic Models. - Xun Zheng; Jin Kyu Kim; Qirong Ho; Eric P. Xing (CoRR, 2014)

Distributed Machine Learning via Sufficient Factor Broadcasting. - Pengtao Xie; Jin Kyu Kim; Yi Zhou 017; Qirong Ho; Abhimanu Kumar; Yaoliang Yu; Eric P. Xing (CoRR, 2015)

Petuum: A New Platform for Distributed Machine Learning on Big Data. - Eric P. Xing; Qirong Ho; Wei Dai 003; Jin Kyu Kim; Jinliang Wei; Seunghak Lee; Xun Zheng; Pengtao Xie; Abhimanu Kumar; Yaoliang Yu (IEEE Trans. Big Data, 2015)

STRADS: a distributed framework for scheduled model parallel machine learning. - Jin Kyu Kim; Qirong Ho; Seunghak Lee; Xun Zheng; Wei Dai 003; Garth A. Gibson; Eric P. Xing (EuroSys, 2016)

Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting. - Pengtao Xie; Jin Kyu Kim; Yi Zhou 017; Qirong Ho; Abhimanu Kumar; Yaoliang Yu; Eric P. Xing (UAI, 2016)

Orpheus: Efficient Distributed Machine Learning via System and Algorithm Co-design. - Pengtao Xie; Jin Kyu Kim; Qirong Ho; Yaoliang Yu; Eric P. Xing (SoCC, 2018)

Cavs: An Efficient Runtime System for Dynamic Neural Networks. - Shizhen Xu; Hao Zhang 025; Graham Neubig; Wei Dai 003; Jin Kyu Kim; Zhijie Deng; Qirong Ho; Guangwen Yang; Eric P. Xing (USENIX ATC, 2018)

STRADS-AP: Simplifying Distributed Machine Learning Programming without Introducing a New Programming Model. - Jin Kyu Kim; Abutalib Aghayev; Garth A. Gibson; Eric P. Xing (USENIX ATC, 2019)

Authentic volumetric avatars from a phone scan. - Chen Cao 001; Tomas Simon; Jin Kyu Kim; Gabe Schwartz; Michael Zollhöfer; Shunsuke Saito; Stephen Lombardi; Shih-En Wei; Danielle Belko; Shoou-I Yu; Yaser Sheikh; Jason M. Saragih (ACM Trans. Graph., 2022)

Pippo: High-Resolution Multi-View Humans from a Single Image. - Yash Kant; Ethan Weber; Jin Kyu Kim; Rawal Khirodkar; Su Zhaoen; Julieta Martinez 001; Igor Gilitschenski; Shunsuke Saito; Timur M. Bagautdinov (CVPR, 2025)