Gyeong-In Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
5
Active years
2018–2023
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICML | BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models. | Taebum Kim, Hyoungjoo Kim, Gyeong-In Yu, Byung-Gon Chun |
| 2022 | OSDI | Orca: A Distributed Serving System for Transformer-Based Generative Models. | Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, Soojeong Kim, Byung-Gon Chun |
| 2020 | OSDI | A Tensor Compiler for Unified Machine Learning Prediction Serving. | Supun Nakandala, Karla Saur, Gyeong-In Yu, Konstantinos Karanasos, Carlo Curino, Markus Weimer, Matteo Interlandi |
| 2019 | EuroSys | Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks. | Soojeong Kim, Gyeong-In Yu, Hojin Park, Sungwoo Cho, Eunji Jeong, Hyeonmin Ha, Sanha Lee, Joo Seong Jeong, Byung-Gon Chun |
| 2019 | ICDCS | Automating System Configuration of Distributed Machine Learning. | Woo-Yeon Lee, Markus Weimer, Brian Cho, Byung-Gon Chun, Yunseong Lee, Joo Seong Jeong, Gyeong-In Yu, Jooyeon Kim, Hojin Park, Beomyeol Jeon, Won Wook Song, Gunhee Kim |
| 2019 | NSDI | JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs. | Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Byung-Gon Chun |
| 2018 | EuroSys | Improving the expressiveness of deep learning frameworks with recursion. | Eunji Jeong, Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Byung-Gon Chun |