Fuzzy Multivariant Analysis. - Junzo Watada; Masato Takagi; Jaeseok Choi (KES, 2004)

The Air Pollution Constraints Considered Best Generation Mix Using Fuzzy Linear Programming. - Jaeseok Choi; TrungTinh Tran; Jungji Kwon; Sangsik Lee; Abdurrahim El-Keib (KES (3), 2005)

Transmission System Expansion Plans in View Point of Deterministic, Probabilistic and Security Reliability Criteria. - Jaeseok Choi; Timothy D. Mount; Robert J. Thomas (HICSS, 2006)

Fuzzy theory-based best generation mix considering renewable energy generators. - Jeongje Park; Liang Wu; Jaeseok Choi; Junmin Cha; Abdurrahim El-Keib; Junzo Watada (FUZZ-IEEE, 2009)

Web based online realtime information system for reliability of composite power system including wind turbine generators. - Jaeseok Choi; Jeongje Park; Kyeonghee Cho; Taeho Song; Junmin Cha (ISGT Europe, 2010)

Web based online real-time outage cost assessment information system of power system-II. - Jintaek Lim; Jaeseok Choi; Junmin Cha (ISGT, 2013)

Guest Editorial Special Section on Smart Grid Technology in South Korea. - Jaeseok Choi; Gilsoo Jang (IEEE Trans. Smart Grid, 2013)

DSM Considered Probabilistic Reliability Evaluation and an Information System for Power Systems Including Wind Turbine Generators. - Jaeseok Choi; Jintaek Lim; Kwang Y. Lee (IEEE Trans. Smart Grid, 2013)

GUI of GMS Simulation Tool Using Fuzzy Methods. - Yeonchan Lee; Jaeseok Choi; Myeunghoon Jung; Junzo Watada (IIH-MSP (2), 2017)

Residual Features and Unified Prediction Network for Single Stage Detection. - Kyoungmin Lee; Jaeseok Choi; Jisoo Jeong; Nojun Kwak (CoRR, 2017)

Knowledge Sharing for Reinforcement Learning: Writing a BOOK. - Simyung Chang; Young Joon Yoo; Jaeseok Choi; Nojun Kwak (CoRR, 2017)

Genetic-Gated Networks for Deep Reinforcement Learning. - Simyung Chang; John Yang 001; Jaeseok Choi; Nojun Kwak (NeurIPS, 2018)

BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning. - Simyung Chang; Youngjoon Yoo; Jaeseok Choi; Nojun Kwak (ICPRAM, 2019)

Two-layer Residual Feature Fusion for Object Detection. - Jaeseok Choi; Kyoungmin Lee; Jisoo Jeong; Nojun Kwak (ICPRAM, 2019)

Genetic-Gated Networks for Deep Reinforcement. - Simyung Chang; John Yang 001; Jaeseok Choi; Nojun Kwak (CoRR, 2019)

Kl-Divergence-Based Region Proposal Network For Object Detection. - Geonseok Seo; Jaeyoung Yoo; Jaeseok Choi; Nojun Kwak (ICIP, 2020)

Faster Stochastic Block Partition Using Aggressive Initial Merging, Compressed Representation, and Parallelism Control. - Ahsen J. Uppal; Jaeseok Choi; Thomas B. Rolinger; H. Howie Huang (HPEC, 2021)

Part-Aware Data Augmentation for 3D Object Detection in Point Cloud. - Jaeseok Choi; Yeji Song; Nojun Kwak (IROS, 2021)

MD3D: Mixture-Density-Based 3D Object Detection in Point Clouds. - Jaeseok Choi; Yeji Song; Yerim Kim; Jaeyoung Yoo; Nojun Kwak (IEEE Access, 2022)

VisAlign: Dataset for Measuring the Alignment between AI and Humans in Visual Perception. - Jiyoung Lee; Seungho Kim; Seunghyun Won; Joonseok Lee; Marzyeh Ghassemi; James Thorne; Jaeseok Choi; O.-Kil Kwon; Edward Choi (NeurIPS, 2023)

VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception. - Jiyoung Lee; Seungho Kim; Seunghyun Won; Joonseok Lee; Marzyeh Ghassemi; James Thorne; Jaeseok Choi; O.-Kil Kwon; Edward Choi (CoRR, 2023)

X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments. - DongKi Noh 001; Changki Sung; Teayoung Uhm; Wooju Lee; Hyungtae Lim; Jaeseok Choi; Kyuewang Lee; Dasol Hong; Daeho Um; Inseop Chung; Hochul Shin; Min-Jung Kim 001; et al. (IEEE Robotics Autom. Lett., 2023)

Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization. - Insoo Kim; Jaeseok Choi; Geonseok Seo; Kinam Kwon; Jinwoo Shin; Hyong-Euk Lee (CVPR, 2024)

Defending Against EMI Attacks on Just-In-Time Checkpoint for Resilient Intermittent Systems. - Jaeseok Choi; Hyunwoo Joe; Changhee Jung; Jongouk Choi (MICRO, 2024)

Optimizing vehicle route, schedule, and platoon formation considering time-dependent traffic congestion. - Jaeseok Choi; Byung Do Chung (Comput. Ind. Eng., 2024)

Reduced Sample Complexity in Scenario-Based Control System Design via Constraint Scaling. - Jaeseok Choi; Anand Deo; Constantino Lagoa; Anirudh Subramanyam (IEEE Control. Syst. Lett., 2024)

Caphammer: Exploiting Capacitor Vulnerability of Energy Harvesting Systems. - Jongouk Choi; Jaeseok Choi; Hyunwoo Joe; Changhee Jung (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)