Taewon Jeong

11 papers A* 3Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Classification of ISAR Images Generated from Model-based Approaches Using Deep Learning.
ICOIN
Soyoon Park, Seonmin Cho, Seongwook Lee, Taewon Jeong, Youngjae Choi, Seungeui Lee, Youngseok Bae
2025 J jnl
Efficient Frame Structure Design of PMCW Radar Based on Golay Sequence in 802.11ad Preamble.
IEEE Internet Things J.
Chanul Park, Jeong-Hoon Park, Taewon Jeong, Jingon Joung, Seongwook Lee
2025 — conf
High-Resolution Ranging Scheme for Stepped-Frequency PMCW-based ISAC Systems.
APWCS
Chanul Park, Seongwook Lee, Taewon Jeong
2024 J jnl
Geometric-Sequence-Decomposition-Based Joint Range and Velocity Estimation in OFDM Radar System for UAM Applications.
IEEE Internet Things J.
Taewon Jeong, Chanul Park, Seongwook Lee
2023 J jnl
DNN-Based Estimation for Misalignment State of Automotive Radar Sensor.
Sensors
Junho Kim, Taewon Jeong, Seongwook Lee
2023 — conf
Determining Misalignment State of Automotive Radar Sensor Using DNN.
SENSORS
Junho Kim, Chanul Park, Seongwook Lee, Taewon Jeong
2023 J jnl
Resource-Efficient Range-Doppler Map Generation Using Deep Learning Network for Automotive Radar Systems.
IEEE Access
Taewon Jeong, Seongwook Lee
2021 A* conf
Objective Bound Conditional Gaussian Process for Bayesian Optimization.
ICML
Taewon Jeong, Heeyoung Kim
2020 J jnl
A Bayesian Nonparametric Mixture Measurement Error Model With Application to Spatial Density Estimation Using Mobile Positioning Data With Multi-Accuracy and Multi-Coverage.
Technometrics
Youngmin Lee, Taewon Jeong, Heeyoung Kim
2020 A* conf
OOD-MAML: Meta-Learning for Few-Shot Out-of-Distribution Detection and Classification.
NeurIPS
Taewon Jeong, Heeyoung Kim
2019 A* conf
Ladder Capsule Network.
ICML
Taewon Jeong, Youngmin Lee, Heeyoung Kim
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski