Link Stability and Route Lifetime in Ad-hoc Wireless Networks. - Geunhwi Lim; Kwangwook Shin; Seunghak Lee; Hyunsoo Yoon; Joong Soo Ma (ICPP Workshops, 2002)

Grapes: Topology-Based Hierarchical Virtual Network for Peer-to-Peer Lookup Services. - Kwangwook Shin; Seunghak Lee; Geunhwi Lim; Hyunsoo Yoon; Joong Soo Ma (ICPP Workshops, 2002)

SDD: high performance code clone detection system for large scale source code. - Seunghak Lee; Iryoung Jeong (OOPSLA Companion, 2005)

Dynamically Weighted Hidden Markov Model for Spam Deobfuscation. - Seunghak Lee; Iryoung Jeong; Seungjin Choi (IJCAI, 2007)

A Proximity-Based Self-Organizing Hierarchical Overlay Framework for Distributed Hash Tables. - Kwangwook Shin; Seunghak Lee; Geunhwi Lim; Hyunsoo Yoon (IEICE Trans. Commun., 2007)

A robust framework for detecting structural variations in a genome. - Seunghak Lee; Elango Cheran; Michael Brudno (ISMB, 2008)

Efficient service discovery mechanism for wireless sensor networks. - Jaehoon Jung; Seunghak Lee; Namgi Kim; Hyunsoo Yoon (Comput. Commun., 2008)

An Efficient TDMA Scheduling Scheme for Wireless Sensor and Actor Networks. - Sang-Hun Chung; Seunghak Lee; Hyunsoo Yoon (IEICE Trans. Commun., 2008)

Ensembles of landmark multidimensional scalings. - Seunghak Lee; Seungjin Choi (ICASSP, 2009)

Landmark MDS ensemble. - Seunghak Lee; Seungjin Choi (Pattern Recognit., 2009)

Adaptive Multi-Task Lasso: with Application to eQTL Detection. - Seunghak Lee; Jun Zhu 001; Eric P. Xing (NIPS, 2010)

MoGUL: Detecting Common Insertions and Deletions in a Population. - Seunghak Lee; Eric P. Xing; Michael Brudno (RECOMB, 2010)

Sensor Node Localization by Three Mobile Anchors in the Wireless Sensor Networks. - Seunghak Lee; Namgi Kim; Heeyoul Kim; Younho Lee; Hyunsoo Yoon (IEICE Trans. Inf. Syst., 2011)

Leveraging input and output structures for joint mapping of epistatic and marginal eQTLs. - Seunghak Lee; Eric P. Xing (Bioinform., 2012)

Solving the Straggler Problem with Bounded Staleness. - James Cipar; Qirong Ho; Jin Kyu Kim; Seunghak Lee; Gregory R. Ganger; Garth Gibson; Kimberly Keeton; Eric P. Xing (HotOS, 2013)

More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server. - Qirong Ho; James Cipar; Henggang Cui; Seunghak Lee; Jin Kyu Kim; Phillip B. Gibbons; Garth A. Gibson; Gregory R. Ganger; Eric P. Xing (NIPS, 2013)

Petuum: A Framework for Iterative-Convergent Distributed ML. - Wei Dai 003; Jinliang Wei; Xun Zheng; Jin Kyu Kim; Seunghak Lee; Junming Yin; Qirong Ho; Eric P. Xing (CoRR, 2013)

Structure-Aware Dynamic Scheduler for Parallel Machine Learning. - Seunghak Lee; Jin Kyu Kim; Qirong Ho; Garth A. Gibson; Eric P. Xing (CoRR, 2013)

On Model Parallelization and Scheduling Strategies for Distributed Machine Learning. - Seunghak Lee; Jin Kyu Kim; Xun Zheng; Qirong Ho; Garth A. Gibson; Eric P. Xing (NIPS, 2014)

Exploiting Bounded Staleness to Speed Up Big Data Analytics. - Henggang Cui; James Cipar; Qirong Ho; Jin Kyu Kim; Seunghak Lee; Abhimanu Kumar; Jinliang Wei; Wei Dai 003; Gregory R. Ganger; Phillip B. Gibbons; Garth A. Gibson; Eric P. Xing (USENIX ATC, 2014)

Primitives for Dynamic Big Model Parallelism. - Seunghak Lee; Jin Kyu Kim; Xun Zheng; Qirong Ho; Garth A. Gibson; Eric P. Xing (CoRR, 2014)

Screening Rules for Overlapping Group Lasso. - Seunghak Lee; Eric P. Xing (CoRR, 2014)

Petuum: A New Platform for Distributed Machine Learning on Big Data. - Eric P. Xing; Qirong Ho; Wei Dai 003; Jin Kyu Kim; Jinliang Wei; Seunghak Lee; Xun Zheng; Pengtao Xie; Abhimanu Kumar; Yaoliang Yu (IEEE Trans. Big Data, 2015)

STRADS: a distributed framework for scheduled model parallel machine learning. - Jin Kyu Kim; Qirong Ho; Seunghak Lee; Xun Zheng; Wei Dai 003; Garth A. Gibson; Eric P. Xing (EuroSys, 2016)

A network-driven approach for genome-wide association mapping. - Seunghak Lee; Soonho Kong; Eric P. Xing (Bioinform., 2016)

An Efficient Nonlinear Regression Approach for Genome-wide Detection of Marginal and Interacting Genetic Variations. - Seunghak Lee; Aurélie C. Lozano; Prabhanjan Kambadur; Eric P. Xing (J. Comput. Biol., 2016)

Stability Selection for Structured Variable Selection. - George Philipp; Seunghak Lee; Eric P. Xing (CoRR, 2017)

Ensembles of Lasso Screening Rules. - Seunghak Lee; Nico Görnitz; Eric P. Xing; David Heckerman; Christoph Lippert (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Exploiting OS-Level Memory Offlining for DRAM Power Management. - Seunghak Lee; Nam Sung Kim; Daehoon Kim (IEEE Comput. Archit. Lett., 2019)

CIS Band Noise Prediction Methodology Using Co-Simulation of Camera Module. - Euncheol Lee; Hyunsu Jun; Wonho Choi; Kihyun Kwon; Jihyung Lim; Seunghak Lee; Joonseo Yim (Imaging Sensors and Systems, 2020)

Fast Dimensional Analysis for Root Cause Investigation in a Large-Scale Service Environment. - Fan Fred Lin; Keyur Muzumdar; Nikolay Pavlovich Laptev; Mihai-Valentin Curelea; Seunghak Lee; Sriram Sankar (Proc. ACM Meas. Anal. Comput. Syst., 2020)

GreenDIMM: OS-assisted DRAM Power Management for DRAM with a Sub-array Granularity Power-Down State. - Seunghak Lee; Ki-Dong Kang; Hwanjun Lee; Hyungwon Park; Young Hoon Son; Nam Sung Kim; Daehoon Kim (MICRO, 2021)

Robust multimodal fusion network using adversarial learning for brain tumor grading. - Seung-wan Jeong; Hwan-ho Cho; Seunghak Lee; Hyunjin Park (Comput. Methods Programs Biomed., 2022)

NoHammer: Preventing Row Hammer With Last-Level Cache Management. - Seunghak Lee; Ki-Dong Kang; Gyeongseo Park; Nam Sung Kim; Daehoon Kim (IEEE Comput. Archit. Lett., 2023)

T-CAT: Dynamic Cache Allocation for Tiered Memory Systems With Memory Interleaving. - Hwanjun Lee; Seunghak Lee; Yeji Jung; Daehoon Kim (IEEE Comput. Archit. Lett., 2023)