InContext: simple parallelism for distributed applications. - Sunghwan Yoo; Hyojeong Lee; Charles Killian; Milind Kulkarni 001 (HPDC, 2011)

Composable Reliability for Asynchronous Systems. - Sunghwan Yoo; Charles Killian; Terence Kelly; Hyoun Kyu Cho; Steven Plite (USENIX ATC, 2012)

The combined manpower planning and preventive maintenance strategies by aggregate planning for the service division of vending machines. - Seongmoon Kim; Sunghwan Yoo (J. Oper. Res. Soc., 2012)

EventWave: programming model and runtime support for tightly-coupled elastic cloud applications. - Wei-Chiu Chuang; Bo Sang; Sunghwan Yoo; Rui Gu; Milind Kulkarni 001; Charles Killian (SoCC, 2013)

A unified framework for transparent parallelism and fault-tolerance in distributed systems - Sunghwan Yoo (2014)

Prostate Cancer Detection using Deep Convolutional Neural Networks. - Sunghwan Yoo; Isha Gujrathi; Masoom A. Haider; Farzad Khalvati (CoRR, 2019)

Aquila: A unified, low-latency fabric for datacenter networks. - Dan Gibson; Hema Hariharan; Eric Lance; Moray McLaren; Behnam Montazeri; Arjun Singh; Stephen Wang; Hassan M. G. Wassel; Zhehua Wu; Sunghwan Yoo; Raghuraman Balasubramanian; Prashant Chandra; et al. (NSDI, 2022)

Fusion-SUNet: Spatial Layout Consistency for 3D Semantic Segmentation. - Maryam Jameela; Gunho Sohn; Sunghwan Yoo (CVPR Workshops, 2023)

Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scenes. - Sunghwan Yoo; Yeonjeong Jeong; Maryam Jameela; Gunho Sohn (CVPR Workshops, 2023)

MRNet: Multiple-Input Receptive Field Network for Large-Scale Point Cloud Segmentation. - Sunghwan Yoo; Yeongjeong Jeong; Maryam Jameela; Gunho Sohn (CoRR, 2023)

EyeNet++: A Multiscale and Multidensity Approach for Outdoor 3-D Semantic Segmentation Inspired by the Human Visual Field. - Sunghwan Yoo; Yeonjeong Jeong; Mohammad Moein Sheikholeslami; Gunho Sohn (IEEE Trans. Geosci. Remote. Sens., 2025)