Quantitative evaluation and reversion analysis of the attractor landscapes of an intracellular regulatory network for colorectal cancer. - Yunseong Kim; Sea Choi; Dongkwan Shin; Kwang-Hyun Cho (BMC Syst. Biol., 2017)

Generating Pedestrian Training Dataset using DCGAN. - Daeun Dana Kim; Muhammad Tanseef Shahid; Yunseong Kim; Won Jun Lee; Hyun Chul Song; Francesco Piccialli; Kwang Nam Choi (ICAIP, 2019)

LazyBatching: An SLA-aware Batching System for Cloud Machine Learning Inference. - Yujeong Choi; Yunseong Kim; Minsoo Rhu (CoRR, 2020)

Lazy Batching: An SLA-aware Batching System for Cloud Machine Learning Inference. - Yujeong Choi; Yunseong Kim; Minsoo Rhu (HPCA, 2021)

PARIS and ELSA: an elastic scheduling algorithm for reconfigurable multi-GPU inference servers. - Yunseong Kim; Yujeong Choi; Minsoo Rhu (DAC, 2022)

Similarity-based Filtering for Defending Against Malicious Clients in Federated Learning. - Yunseong Kim; Seunghyun Yoon (IEEE Big Data, 2024)

2.4 ATOMUS: A 5nm 32TFLOPS/128TOPS ML System-on-Chip for Latency Critical Applications. - Chang-Hyo Yu; Hyo-Eun Kim; Sungho Shin; Kyeongryeol Bong; Hyunsuk Kim; Yoonho Boo; Jaewan Bae; Minjae Kwon; Karim Charfi; Jinseok Kim 006; Hongyun Kim; Myeongbo Shim; et al. (ISSCC, 2024)

Canalizing kernel for cell fate determination. - Namhee Kim; Jonghoon Lee; Jongwan Kim; Yunseong Kim; Kwang-Hyun Cho (Briefings Bioinform., 2024)