Seehwan Yoo

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 26

Top Topics

Empirical Validation

Tomographic Images

Top Venues

Publications

Charles Jaranilla, Hojin Shin, Seehwan Yoo, Seong-je Cho, Jongmoo Choi
Tiered Storage in Modern Key-Value Stores: Performance, Storage-Efficiency, and Cost-Efficiency Considerations. BigComp (2024)
Minguk Choi, Seehwan Yoo, Jongmoo Choi
Can Learned Indexes be Built Efficiently? A Deep Dive into Sampling Trade-offs. Proc. ACM Manag. Data 2 (3) (2024)
Guangxun Zhao, Hojin Shin, Seehwan Yoo, Seong-je Cho, Jongmoo Choi
ThanosKV: A Holistic Approach to Utilize NVM for LSM-tree based Key- Value Stores. BigComp (2024)
Jeoungwon Lee, Heekwon Park, Gunhee Choi, Bryan S. Kim, Seehwan Yoo, Jaedong Lee, Jongmoo Choi
ACE: An Analog Cell Emulator for Dependability Study of NAND Flash Memory. DSN-S (2023)
Inho Song, Myounghoon Oh, Bryan Suk Joon Kim, Seehwan Yoo, Jaedong Lee, Jongmoo Choi
ConfZNS : A Novel Emulator for Exploring Design Space of ZNS SSDs. SYSTOR (2023)
Yejin Han, Myunghoon Oh, Jaedong Lee, Seehwan Yoo, Bryan S. Kim, Jongmoo Choi
Achieving Performance Isolation in Docker Environments with ZNS SSDs. NVMSA (2023)
Myounghoon Oh, Seehwan Yoo, Jongmoo Choi, Jeongsu Park, Chang-Eun Choi
ZenFS+: Nurturing Performance and Isolation to ZenFS. IEEE Access 11 (2023)
Seehwan Yoo, Hojin Shin, Sunghyun Lee, Jongmoo Choi
A Read Performance Analysis with Storage Hierarchy in Modern KVS: A RocksDB Case. NVMSA (2022)
Yoo Jeong Ha, Gusang Lee, Minjae Yoo, Soyi Jung, Seehwan Yoo, Joongheon Kim
Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset. CoRR (2022)
Seunggyun Lee, Seehwan Yoo
Breaching GPU data on a cloud VM. ICTC (2022)
Joongheon Kim, Seunghoon Park, Soyi Jung, Seehwan Yoo
Spatio-Temporal Split Learning. DSN (Supplements) (2021)
Dongho Lee, Jaeseo Lee, Hyunsung Jun, Hongdeok Kim, Seehwan Yoo
Triad of Split Learning: Privacy, Accuracy, and Performance. ICTC (2021)
Yoo Jeong Ha, Minjae Yoo, Gusang Lee, Soyi Jung, Sae Won Choi, Joongheon Kim, Seehwan Yoo
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data. CoRR (2021)
Joongheon Kim, Seunghoon Park, Soyi Jung, Seehwan Yoo
Spatio-Temporal Split Learning. CoRR (2021)
Yoo Jeong Ha, Minjae Yoo, Gusang Lee, Soyi Jung, Sae Won Choi, Joongheon Kim, Seehwan Yoo
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies With COVID-19 CT, X-Ray, and Cholesterol Data. IEEE Access 9 (2021)
Hyunchan Park, Young-Pil Kim, Seehwan Yoo
AvaTar: Zero-Copy Archiving With New Kernel-Level Operations. IEEE Access 8 (2020)
HoCheol Nam, Jaewon Park, Seunggyun Lee, Seunghyun Yeo, Seehwan Yoo
Hints for Memory Optimization of Asylo-based SGX Enclave Applications. ICTC (2020)
Seunggyun Lee, HoCheol Nam, Jaewon Park, Seehwan Yoo
Student Session: Comparative Analysis of Live VM Migration with SGX Enclave. RTCSA (2020)
Suhho Lee, Seehwan Yoo
Tux: Trust Update on Linux Booting. STM (2018)
Seehwan Yoo
Leveraging multicores for mobile edge computing. ICOIN (2018)
Seehwan Yoo, Eun-Seok Ryu
Parallel HEVC decoding with asymmetric mobile multicores. Multim. Tools Appl. 76 (16) (2017)
YoonSeok Shim, Seehwan Yoo
Poster: Breaching Pattern Screen Lock Security. MobiSys (Companion Volume) (2016)
Hyunchan Park, Cheol-Ho Hong, Younghyun Kim, Seehwan Yoo, Chuck Yoo
Improving I/O performance of Xen hypervisors for solid state drives. ICCE (2015)
Seehwan Yoo, YoonSeok Shim, Seunghac Lee, Sang-Ah Lee, Joongheon Kim
A case for bad big.LITTLE switching: how to scale power-performance in SI-HMP. HotPower@SOSP (2015)
Seehwan Yoo
An empirical validation of power-performance scaling: DVFS vs. multi-core scaling in big.LITTLE processor. IEICE Electron. Express 12 (8) (2015)
Seehwan Yoo, Young-Pil Kim
Test-driven development of consumer electronics device drivers: A user-level device driver approach. ICCE (2015)
Jae-Woo Jeong, Seehwan Yoo, Chuck Yoo
PARFAIT: A new scheduler framework supporting heterogeneous Xen-ARM schedulers. CCNC (2011)
Seehwan Yoo, Miri Park, Chuck Yoo
A Step to Support Real-Time in Virtual Machine. CCNC (2009)