Improving the expressiveness of deep learning frameworks with recursion. - Eunji Jeong; Joo Seong Jeong; Soojeong Kim; Gyeong-In Yu; Byung-Gon Chun (EuroSys, 2018)

Parallax: Automatic 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 (CoRR, 2018)

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 (EuroSys, 2019)

Accelerating Multi-Model Inference by Merging DNNs of Different Weights. - Joo Seong Jeong; Soojeong Kim; Gyeong-In Yu; Yunseong Lee; Byung-Gon Chun (CoRR, 2020)

Keyword Extraction in Economics Literatures using Natural Language Processing. - Soojeong Kim; Sunho Choi; Junhee Seok (ICUFN, 2021)

Multi-label Text Classification of Economic Concepts from Economic News Articles using Natural Language Processing. - Soojeong Kim; Minhyeok Lee; Junhee Seok (ICUFN, 2022)

Orca: A Distributed Serving System for Transformer-Based Generative Models. - Gyeong-In Yu; Joo Seong Jeong; Geon-Woo Kim; Soojeong Kim; Byung-Gon Chun (OSDI, 2022)

Inverse design of nanophotonic devices using generative adversarial networks. - Wonsuk Kim; Soojeong Kim; Minhyeok Lee; Junhee Seok (Eng. Appl. Artif. Intell., 2022)

Contents analysis of telemedicine applications in South Korea: An analysis of possibility of inducing selective or unnecessary medical care. - Hyorim Ju; Donghee Seo; Soojeong Kim; Juyoung Choi; Eunkyo Kang (Health Informatics J., 2024)