A 7.1-GB/s low-power rendering engine in 2-D array-embedded memory logic CMOS for portable multimedia system. - Yong-Ha Park; Seon-Ho Han; Junghwan Lee; Hoi-Jun Yoo (IEEE J. Solid State Circuits, 2001)

A 43dB ACR low-pass filter with automatic tuning for low-IF conversion DAB/T-DMB tuner IC. - Seyeob Kim; Bonkee Kim; Minsu Jeong; Junghwan Lee; Youngho Cho; Tae Wook Kim; Boeun Kim (ESSCIRC, 2005)

A 65nm CMOS low-power small-size multistandard, multiband mobile broadcasting receiver SoC. - Minsu Jeong; Bonkee Kim; Youngho Cho; Yanggyun Kim; Seyeob Kim; Heeyong Yoo; Junghwan Lee; Jae Kyung Lee; Kyung Soo Jung; Jeiyoung Lee; Junghun Lee; Huikwan Yang; et al. (ISSCC, 2010)

Scalable roi algorithm for H.264/SVC-based video streaming. - Junghwan Lee; Chuck Yoo (IEEE Trans. Consumer Electron., 2011)

SR-RRT: Selective retraction-based RRT planner. - Junghwan Lee; OSung Kwon; Liangjun Zhang; Sung-Eui Yoon (ICRA, 2012)

Cache replacement strategies for scalable video streaming in CCN. - Junghwan Lee; Kyubo Lim; Chuck Yoo (APCC, 2013)

VLSH: Voronoi-based locality sensitive hashing. - Tieu Lin Loi; Jae-Pil Heo; Junghwan Lee; Sung-Eui Yoon (IROS, 2013)

SVC-based Adaptive Video Streaming over Content-Centric Networking. - Junghwan Lee; Jaehyun Hwang; Nakjung Choi; Chuck Yoo (KSII Trans. Internet Inf. Syst., 2013)

Scheduling in Heterogeneous Computing Environments for Proximity Queries. - Duksu Kim; Jinkyu Lee 001; Junghwan Lee; Insik Shin; John Kim 001; Sung-Eui Yoon (IEEE Trans. Vis. Comput. Graph., 2013)

SYNCEYE: An Availability Measurement Tool for Embedded Systems. - Junghwan Lee; Kwangyong Lee (APSEC (2), 2014)

SVC-based hybrid video streaming in mobile CE devices. - Jaehyun Hwang; Nakjung Choi; Junghwan Lee; Chuck Yoo (ICCE, 2014)

Seamless streaming with intelligent rate determinate algorithm in content centric networks. - Jaehwan Kwon; Junghwan Lee; Hyunchan Park; Chuck Yoo (ICCE, 2014)

Cloud RRT∗: Sampling Cloud based RRT∗. - Donghyuk Kim; Junghwan Lee; Sung-Eui Yoon (ICRA, 2014)

PROT: Productive regions oriented task space path planning for hyper-redundant manipulators. - Junghwan Lee; Sung-Eui Yoon (ICRA, 2014)

Smart learning adoption in employees and HRD managers. - Junghwan Lee; Hangjung Zo; Hwansoo Lee (Br. J. Educ. Technol., 2014)

HAVS: hybrid adaptive video streaming for mobile devices. - Jaehyun Hwang; Junghwan Lee; Nakjung Choi; Chuck Yoo (IEEE Trans. Consumer Electron., 2014)

A Selective Retraction-Based RRT Planner for Various Environments. - Junghwan Lee; OSung Kwon; Liangjun Zhang; Sung-Eui Yoon (IEEE Trans. Robotics, 2014)

Factors affecting smart learning adoption in workplaces: comparing large enterprises and SMEs. - Junghwan Lee; Munkee Choi; Hwansoo Lee (Inf. Technol. Manag., 2015)

Conjoint analysis on preferences of HRD managers and employees for effective implementation of m-learning: The case of South Korea. - Junghwan Lee; Dong Wook Kim 001; Hangjung Zo (Telematics Informatics, 2015)

Eliminating bandwidth estimation from adaptive video streaming in wireless networks. - Jaehyun Hwang; Junghwan Lee; Chuck Yoo (Signal Process. Image Commun., 2016)

Data-driven kinodynamic RRT. - Junghwan Lee; Heechan Shin; Sung-Eui Yoon (ICAR, 2017)

Empirical analysis of anti-reversing schemes for protecting mobile codes in the internet-of-things. - Haehyun Cho; Hyunki Kim; Jongsu Lim; Junghwan Lee; Jeong Hyun Yi (Int. J. Serv. Technol. Manag., 2017)

Importance of finding a good basis in binary representation. - Junghwan Lee; Yong-Hyuk Kim (GECCO (Companion), 2018)

Predictive model for epistasis-based basis evaluation on pseudo-boolean function using deep neural networks. - Yong-Hoon Kim; Junghwan Lee; Yong-Hyuk Kim (GECCO (Companion), 2019)

Optimal equipment assignment for oil spill response using a genetic algorithm. - Hye-Jin Kim; Junghwan Lee; Jong-Hwui Yun; Yong-Hyuk Kim (GECCO (Companion), 2019)

Epistasis-Based Basis Estimation Method for Simplifying the Problem Space of an Evolutionary Search in Binary Representation. - Junghwan Lee; Yong-Hyuk Kim (Complex., 2019)

Ensembles of natural language processing systems for portable phenotyping solutions. - Cong Liu 020; Casey N. Ta; James R. Rogers; Ziran Li; Junghwan Lee; Alex M. Butler; Ning Shang; Fabricio Sampaio Peres Kury; Liwei Wang 010; Feichen Shen; Hongfang Liu; Lyudmila Ena; et al. (J. Biomed. Informatics, 2019)

Impact of IMPACT: Longitudinal Analysis of an Integrated Participant Scheduling System in a Clinical Research Setting. - Alex M. Butler; Junghwan Lee; Yat S. So; Linda Busacca; Karen Marder; Henry N. Ginsberg; Dianne Frederick; Ismael Castaneda; Elizabeth Guerrido; Chunhua Weng (AMIA, 2020)

Contemporary Use of Real World Data for Clinical Trial Conduct. - James R. Rogers; Junghwan Lee; Ziheng Zhou; Patrick B. Ryan; George Hripcsak; Chunhua Weng (AMIA, 2020)

A Study on Innovation in University Education: Focusing on 5G Mobile Communication. - Junghwan Lee; Dongwook Kim (CCNC, 2020)

22.3 A 128Gb 8-High 512GB/s HBM2E DRAM with a Pseudo Quarter Bank Structure, Power Dispersion and an Instruction-Based At-Speed PMBIST. - Dong-Uk Lee; Ho Sung Cho; Jihwan Kim; Young Jun Ku; Sangmuk Oh; Chul Dae Kim; Hyun Woo Kim; Wooyoung Lee; Tae-Kyun Kim 001; Tae Sik Yun; Min Jeong Kim; SeungGyeon Lim; et al. (ISSCC, 2020)

Development of Innovative Business of Telecommunication Operator: Case of KT-MEG. - Junghwan Lee; Dongwook Kim (Int. J. Asian Bus. Inf. Manag., 2020)

Real-Time Scheduling for Mixed-Criticality Systems in the Automotive Industry. - Junghwan Lee; Myungjun Kim (J. Comput. Sci. Eng., 2020)

Statistical Prediction of Typhoon-Induced Rainfall over China Using Historical Rainfall, Tracks, and Intensity of Typhoon in the Western North Pacific. - Jong-Suk Kim; Anxiang Chen; Junghwan Lee; Il-Ju Moon; Young-Il Moon (Remote. Sens., 2020)

Towards Better Diagnosis Prediction Using Bidirectional Recurrent Neural Networks. - Junghwan Lee; Cong Liu 020; Casey N. Ta; Chunhua Weng (MedInfo, 2021)

Evaluation of Criteria2Query: Towards Augmented Intelligence for Cohort Identification. - Cong Liu 020; Hao Liu 054; Casey N. Ta; James Roger; Alex Butler; Junghwan Lee; Jaehyun Kim; Ning Shang; Chunhua Weng (MedInfo, 2021)

Developing a new mobile network ownership model using a risk allocation framework. - Dongwook Kim 001; Hangjung Zo; Junghwan Lee (Int. J. Mob. Commun., 2021)

Towards clinical data-driven eligibility criteria optimization for interventional COVID-19 clinical trials. - Jae Hyun Kim; Casey N. Ta; Cong Liu 020; Cynthia Sung 002; Alex M. Butler; Latoya A. Stewart; Lyudmila Ena; James R. Rogers; Junghwan Lee; Anna Ostropolets; Patrick B. Ryan; Hao Liu 054; et al. (J. Am. Medical Informatics Assoc., 2021)

Contemporary use of real-world data for clinical trial conduct in the United States: a scoping review. - James R. Rogers; Junghwan Lee; Ziheng Zhou; Ying Kuen Cheung; George Hripcsak; Chunhua Weng (J. Am. Medical Informatics Assoc., 2021)

Consolidated Software Architecture for Safety-Critical AUTOSAR Applications. - Junghwan Lee (ICIT, 2022)

Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning. - Junghwan Lee; Tingyi Wanyan; Qingyu Chen 001; Tiarnan D. L. Keenan; Benjamin S. Glicksberg; Emily Y. Chew; Zhiyong Lu; Fei Wang 001; Yifan Peng 002 (MLMI@MICCAI, 2022)

Deep learning for rare disease: A scoping review. - Junghwan Lee; Cong Liu 020; Junyoung Kim; Zhehuan Chen; Yingcheng Sun; James R. Rogers; Wendy K. Chung; Chunhua Weng (J. Biomed. Informatics, 2022)

Isolation of Shared Resources for Mixed-Criticality AUTOSAR Applications. - Junghwan Lee; Myungjun Kim (J. Comput. Sci. Eng., 2022)

Multitask Siamese Network for Remote Photoplethysmography and Respiration Estimation. - Heejin Lee; Junghwan Lee; Yujin Kwon; Jiyoon Kwon; Sung-Min Park 001; Ryanghee Sohn; Cheolsoo Park (Sensors, 2022)

C-DRX parameters optimization using Multi-Agent Reinforcement Learning with Self-attention. - Juhwan Song; Yujin Nam; Minsuk Choi; Yonghee Jo; Seungyeon Lee; Sanghyun Lee; Nakyoung Kim; Junghwan Lee; Seungmo Kim; Haksung Kim; Seowoo Jang (GLOBECOM, 2023)

Training Neural Networks for Sequential Change-Point Detection. - Junghwan Lee; Yao Xie 002; Xiuyuan Cheng (ICASSP, 2023)

Metaverse-based education service adoption and preference study using conjoint analysis. - Junghwan Lee; Seongsu Jang (ICNC, 2023)

Deep Attention Q-Network for Personalized Treatment Recommendation. - Simin Ma; Junghwan Lee; Nicoleta Serban; Shihao Yang 002 (ICDM (Workshops), 2023)

Li-ion Battery Health State Estimation with Two Feed Forward Neural Networks. - Junghwan Lee (ICIT, 2023)

Federated Learning in Temporal Heterogeneity. - Junghwan Lee (CoRR, 2023)

Developing a Job Search Platform for SMEs to Resolve Job Mismatch: A Case Study. - Junghwan Lee; Eui-Young Chung; Dongwook Kim (Int. J. Asian Bus. Inf. Manag., 2023)

Prediction of Remote Photoplethysmography Using Quaternion-based Convolutional Neural Networks in Metaverse. - Junghwan Lee; Yusang Nam; Hyuntae Lee; Cheolsoo Park (MetaCom, 2024)

Transformer Conformal Prediction for Time Series. - Junghwan Lee; Chen Xu; Yao Xie 002 (CoRR, 2024)

Inverse Probability of Treatment Weighting with Deep Sequence Models Enables Accurate treatment effect Estimation from Electronic Health Records. - Junghwan Lee; Simin Ma; Nicoleta Serban; Shihao Yang 002 (CoRR, 2024)

Utilization of systematic error-assessment software to improve phylogenetic accuracy. - Hayeon Kim; Junghwan Lee; Mikyeong Je; Myeongji Cho; Hyeon S. Son (J. Bioinform. Comput. Biol., 2024)

Proposing a business model analysis framework for IoT Bigdata. - Junghwan Lee; Yeonseok Lee (BigComp, 2025)

Flow-based Conformal Prediction for Multi-dimensional Time Series. - Junghwan Lee; Chen Xu; Yao Xie 002 (CoRR, 2025)