Jungi Lee

11 papers A 2B 1Journal 4Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Mitigating Long-Tailed Anomaly Score Distributions with Importance-Weighted Loss.
CoRR
Jungi Lee, Jungkwon Kim, Chi Zhang, Sangmin Kim, Kwangsun Yoo, Seok-Joo Byun
2025 J jnl
Anomaly Detection with Adaptive and Aggressive Rejection for Contaminated Training Data.
CoRR
Jungi Lee, Jungkwon Kim, Chi Zhang, Kwangsun Yoo, Seok-Joo Byun
2025 — conf
Metric-Driven Similarity Indices: Redefining Spectral Distance Comparisons in Hyperspectral Data.
ICAIIC
Jungkwon Kim, Jihoon Jung, Jungi Lee, Kwangsun Yoo, Seok-Joo Byun
2025 B conf
Mitigating Long-Tailed Anomaly Score Distributions with Importance-Weighted Loss.
IJCNN
Jungi Lee, Jungkwon Kim, Chi Zhang, Sangmin Kim, Kwangsun Yoo, Seok-Joo Byun
2025 — conf
Statistical Robustness in Anomaly Detection with Hard Rejection and Adaptive Weighting.
ICDM (Workshops)
Jungi Lee, Jungkwon Kim, Chi Zhang, Kwangsun Yoo, Seok-Joo Byun
2024 A conf
FastSimiFeat: A Fast and Generalized Approach Utilizing
CIKM
Jungi Lee, Hwiwoo Park, Myounghwan Kim, Jiseong Yoon, Kwangsun Yoo, Seok-Joo Byun
2024 J jnl
PA2E: Real-Time Anomaly Detection With Hyperspectral Imaging for Food Safety Inspection.
IEEE Access
Jungi Lee, Myounghwan Kim, Jiseong Yoon, Kwangsun Yoo, Seok-Joo Byun
2022 — conf
Extension Of Guided Filter With Memory For Projection On Training Spectrum.
WHISPERS
Myounghwan Kim, Jungi Lee
2022 — conf
Hyperspectral Image Visualization Through Neural Network For The Food Industry.
WHISPERS
Hyeok Yoon, Jungi Lee
2022 J jnl
Specializing CGRAs for Light-Weight Convolutional Neural Networks.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.
Jungi Lee, Jongeun Lee
2021 A conf
NP-CGRA: Extending CGRAs for Efficient Processing of Light-weight Deep Neural Networks.
DATE
Jungi Lee, Jongeun Lee