Hyuck Lee

According to our database, Hyuck Lee authored at least 7 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

DAMEL: Dual-Axis Multi-Expert Learning for Class-Imbalanced Learning.

Hyuck Lee, Taemin Park, Heeyoung Kim

CoRR, May, 2026

2025

Delving into Large Language Models for Effective Time-Series Anomaly Detection.

Junwoo Park, Kyudan Jung, Dohyun Lee, Hyuck Lee, Daehoon Gwak, ChaeHun Park, Jaegul Choo, Jaewoong Cho

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Learnable Logit Adjustment for Imbalanced Semi-Supervised Learning Under Class Distribution Mismatch.

Hyuck Lee, Taemin Park, Heeyoung Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Revisiting LLMs as Zero-Shot Time Series Forecasters: Small Noise Can Break Large Models.

Junwoo Park, Hyuck Lee, Dohyun Lee, Daehoon Gwak, Jaegul Choo

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025

2024

Rebalancing Using Estimated Class Distribution for Imbalanced Semi-supervised Learning Under Class Distribution Mismatch.

Taemin Park, Hyuck Lee, Heeyoung Kim

Proceedings of the Computer Vision - ECCV 2024, 2024

CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning.

Hyuck Lee, Heeyoung Kim

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2021

ABC: Auxiliary Balanced Classifier for Class-imbalanced Semi-supervised Learning.

Hyuck Lee, Seungjae Shin, Heeyoung Kim

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021