Classification of Bluffing Behavior and Affective Attitude from Prefrontal Surface Encephalogram During On-Line Game. - Myung Hwan Yun; Joo Hwan Lee; Hyoungjoo Lee; Sungzoon Cho (ICB, 2006)

A Statistical Model of Relationship Between Affective Responses and Product Design Attributes for Capturing User Needs. - Sangwoo Bahn; Cheol Lee; Joo Hwan Lee; Myung Hwan Yun (HCI (11), 2007)

Incorporating JND into the Design of Mobile Device Display. - Joo Hwan Lee; Won Yong Suh; Cheol Lee; Jang Hyeon Jo; Myung Hwan Yun (HCI (10), 2007)

A User-Centered Approach for Ubiquitous Service Evaluation: An Evaluation Metrics Focused on Human-System Interaction Capability. - Joo Hwan Lee; Joobong Song; Hyungsup Kim; Junyoung Choi; Myung Hwan Yun (APCHI, 2008)

The Development of Human-System Interactivity Metrics for Ubiquitous Service Applying User-Centered Design Methodology. - Joobong Song; Keun Ryang Park; Sanghyun Kwon; Jihwan Lee; Myung Hwan Yun; Joo Hwan Lee (SERVICES I, 2009)

IGC: An Image Genre Classification System. - Joo Hwan Lee; Sung Wook Baik; Kangseok Kim; Changduk Jung; Wonil Kim (AICI (2), 2011)

Achieving a single compute device image in OpenCL for multiple GPUs. - Jungwon Kim; Honggyu Kim; Joo Hwan Lee; Jaejin Lee (PPoPP, 2011)

An innovative method for data and software integration in SaaS. - Wonil Kim; Joo Hwan Lee; Chuleui Hong; Changhee Han 003; Hanku Lee; Bongshik Jang (Comput. Math. Appl., 2012)

OpenCL Performance Evaluation on Modern Multi Core CPUs. - Joo Hwan Lee; Kaushik Patel; Nimit Nigania; Hyojong Kim; Hyesoon Kim (IPDPS Workshops, 2013)

SESH Framework: A Space Exploration Framework for GPU Application and Hardware Codesign. - Joo Hwan Lee; Jiayuan Meng; Hyesoon Kim (PMBS@SC, 2013)

GPUMech: GPU Performance Modeling Technique Based on Interval Analysis. - Jen-Cheng Huang; Joo Hwan Lee; Hyesoon Kim; Hsien-Hsin S. Lee (MICRO, 2014)

BSSync: Processing Near Memory for Machine Learning Workloads with Bounded Staleness Consistency Models. - Joo Hwan Lee; Jaewoong Sim; Hyesoon Kim (PACT, 2015)

Hardware Support for Safe Execution of Native Client Applications. - Dilan Manatunga; Joo Hwan Lee; Hyesoon Kim (IEEE Comput. Archit. Lett., 2015)

OpenCL Performance Evaluation on Modern Multicore CPUs. - Joo Hwan Lee; Nimit Nigania; Hyesoon Kim; Kaushik Patel; Hyojong Kim (Sci. Program., 2015)

Relaxing coherence for modern learning applications. - Joo Hwan Lee (2017)

StaleLearn: Learning Acceleration with Asynchronous Synchronization Between Model Replicas on PIM. - Joo Hwan Lee; Hyesoon Kim (IEEE Trans. Computers, 2018)

Empirical Investigation of Stale Value Tolerance on Parallel RNN Training. - Joo Hwan Lee; Hyesoon Kim (ISPASS, 2019)

A Generic FPGA Accelerator for Minimum Storage Regenerating Codes. - Mian Qin; Joo Hwan Lee; Rekha Pitchumani; Yang-Seok Ki; A. L. Narasimha Reddy; Paul V. Gratz (ASP-DAC, 2020)

On the Limits of Parallelizing Convolutional Neural Networks on GPUs. - Behnam Pourghassemi; Chenghao Zhang; Joo Hwan Lee; Aparna Chandramowlishwaran (SPAA, 2020)

SmartSSD: FPGA Accelerated Near-Storage Data Analytics on SSD. - Joo Hwan Lee; Hui Zhang 033; Veronica Lagrange Moutinho dos Reis; Praveen Krishnamoorthy; Xiaodong Zhao; Yang-Seok Ki (IEEE Comput. Archit. Lett., 2020)

Brief Announcement: On the Limits of Parallelizing Convolutional Neural Networks on GPUs. - Behnam Pourghassemi; Chenghao Zhang; Joo Hwan Lee; Aparna Chandramowlishwaran (CoRR, 2020)

NASCENT: Near-Storage Acceleration of Database Sort on SmartSSD. - Sahand Salamat; Armin Haj Aboutalebi; Behnam Khaleghi; Joo Hwan Lee; Yang-Seok Ki; Tajana Rosing (FPGA, 2021)