Dongmin Park

According to our database, Dongmin Park authored at least 28 papers between 2006 and 2024.

Collaborative distances:

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

2024

Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance.

Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho

CoRR, 2024

Mitigating Dialogue Hallucination for Large Multi-modal Models via Adversarial Instruction Tuning.

Dongmin Park, Zhaofang Qian, Guangxing Han, Ser-Nam Lim

CoRR, 2024

Prioritizing Informative Features and Examples for Deep Learning from Noisy Data.

Dongmin Park

CoRR, 2024

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning.

Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Shortcut Debiasing for Online Continual Learning.

Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning From Noisy Labels With Deep Neural Networks: A Survey.

Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy.

Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Context Consistency Regularization for Label Sparsity in Time Series.

Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee

Proceedings of the International Conference on Machine Learning, 2023

2022

Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning.

Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases.

Dongmin Park, Junhyeok Kang, Hwanjun Song, Susik Yoon, Jae-Gil Lee

Proceedings of the IEEE International Conference on Data Mining, 2022

Meta-Learning for Online Update of Recommender Systems.

Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data.

Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee

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

Robust Learning by Self-Transition for Handling Noisy Labels.

Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

Two-Phase Learning for Overcoming Noisy Labels.

Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee

CoRR, 2020

Learning from Noisy Labels with Deep Neural Networks: A Survey.

Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee

CoRR, 2020

TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data.

Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea.

Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Prestopping: How Does Early Stopping Help Generalization against Label Noise?

Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee

CoRR, 2019

MLAT: Metric Learning for kNN in Streaming Time Series.

Dongmin Park, Susik Yoon, Hwanjun Song, Jae-Gil Lee

CoRR, 2019

Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation.

Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2014

Adaptive beamforming for low-angle target tracking under multipath interference.

Dongmin Park, Eunjung Yang, Soyeon Ahn, Joohwan Chun

IEEE Trans. Aerosp. Electron. Syst., 2014

Load mapping for seamless interface between hydrodynamics and structural analyses.

Joonghyun Ji, Kangwook Kim, Minkook Seo, Taeyoung Kim, Dongmin Park, Yonghwan Kim, Kwang Hee Ko

Adv. Eng. Softw., 2014

2013

End-to-end design consideration of a radar altimeter for terrain-aided navigation.

Joohwan Chun, Sanghyouk Choi, Inchan Paek, Dongmin Park, Kyungju Yoo

Proceedings of the SAR Image Analysis, 2013

2012

A 2.4 GHz Fractional-N Frequency Synthesizer With High-OSR ΔΣ Modulator and Nested PLL.

Pyoungwon Park, Dongmin Park, SeongHwan Cho

IEEE J. Solid State Circuits, 2012

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.

Dongmin Park, SeongHwan Cho

IEEE J. Solid State Circuits, 2012

A 14.2mW 2.55-to-3GHz cascaded PLL with reference injection, 800MHz delta-sigma modulator and 255fsrms integrated jitter in 0.13μm CMOS.

Dongmin Park, SeongHwan Cho

Proceedings of the 2012 IEEE International Solid-State Circuits Conference, 2012

2011

A fractional-N frequency synthesizer using high-OSR delta-sigma modulator and nested-PLL.

Pyoungwon Park, Dongmin Park, SeongHwan Cho

Proceedings of the 2011 IEEE Custom Integrated Circuits Conference, 2011

2006

A power-optimized CMOS LC VCO with wide tuning range in 0.5-V supply.

Dongmin Park, SeongHwan Cho

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006