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2020 – today
- 2024
[c16]Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee:
Adaptive Shortcut Debiasing for Online Continual Learning. AAAI 2024: 13122-13131- [c15]Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee:
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning. ICML 2024 - [i12]Dongmin Park:
Prioritizing Informative Features and Examples for Deep Learning from Noisy Data. CoRR abs/2403.00013 (2024) - [i11]Dongmin Park, Zhaofang Qian, Guangxing Han, Ser-Nam Lim:
Mitigating Dialogue Hallucination for Large Multi-modal Models via Adversarial Instruction Tuning. CoRR abs/2403.10492 (2024) - 2023
- [j5]Hwanjun Song
, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee:
Learning From Noisy Labels With Deep Neural Networks: A Survey. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8135-8153 (2023) - [c14]Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee:
Context Consistency Regularization for Label Sparsity in Time Series. ICML 2023: 31579-31595 - [c13]Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee:
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy. NeurIPS 2023 - [i10]Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee:
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy. CoRR abs/2311.01002 (2023) - [i9]Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee:
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning. CoRR abs/2311.12048 (2023) - [i8]Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee:
Adaptive Shortcut Debiasing for Online Continual Learning. CoRR abs/2312.08677 (2023) - 2022
- [c12]Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee:
Meta-Learning for Online Update of Recommender Systems. AAAI 2022: 4065-4074 - [c11]Dongmin Park, Junhyeok Kang, Hwanjun Song, Susik Yoon, Jae-Gil Lee:
Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases. ICDM 2022: 1137-1142 - [c10]Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee:
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning. NeurIPS 2022 - [i7]Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee:
Meta-Learning for Online Update of Recommender Systems. CoRR abs/2203.10354 (2022) - [i6]Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee:
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning. CoRR abs/2210.07805 (2022) - 2021
- [c9]Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee:
Robust Learning by Self-Transition for Handling Noisy Labels. KDD 2021: 1490-1500 - [c8]Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee:
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data. NeurIPS 2021: 4040-4052 - 2020
- [c7]Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee:
Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea. KDD 2020: 3466-3473 - [c6]Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee:
TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data. WWW 2020: 1615-1624 - [i5]Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee:
Learning from Noisy Labels with Deep Neural Networks: A Survey. CoRR abs/2007.08199 (2020) - [i4]Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee:
Two-Phase Learning for Overcoming Noisy Labels. CoRR abs/2012.04337 (2020)
2010 – 2019
- 2019
- [c5]Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee:
Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation. ICCV 2019: 3334-3343 - [i3]Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee:
Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation. CoRR abs/1908.02984 (2019) - [i2]Dongmin Park, Susik Yoon, Hwanjun Song, Jae-Gil Lee:
MLAT: Metric Learning for kNN in Streaming Time Series. CoRR abs/1910.10368 (2019) - [i1]Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee:
Prestopping: How Does Early Stopping Help Generalization against Label Noise? CoRR abs/1911.08059 (2019) - 2014
- [j4]Joonghyun Ji, Kangwook Kim, Minkook Seo, Taeyoung Kim, Dongmin Park, Yonghwan Kim, Kwang Hee Ko:
Load mapping for seamless interface between hydrodynamics and structural analyses. Adv. Eng. Softw. 71: 9-18 (2014) - [j3]Dongmin Park, Eunjung Yang, Soyeon Ahn, Joohwan Chun:
Adaptive beamforming for low-angle target tracking under multipath interference. IEEE Trans. Aerosp. Electron. Syst. 50(4): 2564-2577 (2014) - 2013
- [c4]Joohwan Chun, Sanghyouk Choi, Inchan Paek, Dongmin Park, Kyungju Yoo:
End-to-end design consideration of a radar altimeter for terrain-aided navigation. SAR 2013: 889108 - 2012
- [j2]Pyoungwon Park, Dongmin Park, SeongHwan Cho:
A 2.4 GHz Fractional-N Frequency Synthesizer With High-OSR ΔΣ Modulator and Nested PLL. IEEE J. Solid State Circuits 47(10): 2433-2443 (2012) - [j1]Dongmin Park, SeongHwan Cho:
A 14.2 mW 2.55-to-3 GHz Cascaded PLL With Reference Injection and 800 MHz Delta-Sigma Modulator in 0.13 μ m CMOS. IEEE J. Solid State Circuits 47(12): 2989-2998 (2012) - [c3]Dongmin Park, SeongHwan Cho:
A 14.2mW 2.55-to-3GHz cascaded PLL with reference injection, 800MHz delta-sigma modulator and 255fsrms integrated jitter in 0.13μm CMOS. ISSCC 2012: 344-346 - 2011
- [c2]Pyoungwon Park, Dongmin Park, SeongHwan Cho:
A fractional-N frequency synthesizer using high-OSR delta-sigma modulator and nested-PLL. CICC 2011: 1-4
2000 – 2009
- 2006
- [c1]Dongmin Park, SeongHwan Cho:
A power-optimized CMOS LC VCO with wide tuning range in 0.5-V supply. ISCAS 2006
Coauthor Index
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