Alignment without Over-optimization: Training-Free Solution for Diffusion Models - Sunwoo Kim; Minkyu Kim; Dongmin Park (CoRR, 2025)

Active Learning for Continual Learning: Keeping the Past Alive in the Present - Jaehyun Park; Dongmin Park; Jae-Gil Lee (CoRR, 2025)

Adaptive Shortcut Debiasing for Online Continual Learning - Doyoung Kim; Dongmin Park; Yooju Shin; Jihwan Bang; Hwanjun Song; Jae-Gil Lee (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 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 (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Prioritizing Informative Features and Examples for Deep Learning from Noisy Data - Dongmin Park (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)

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)

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., 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 (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy - Dongmin Park; Seola Choi; Doyoung Kim; Hwanjun Song; Jae-Gil Lee (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy - Dongmin Park; Seola Choi; Doyoung Kim; Hwanjun Song; Jae-Gil Lee (CoRR, 2023)

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 (CoRR, 2023)

Adaptive Shortcut Debiasing for Online Continual Learning - Doyoung Kim; Dongmin Park; Yooju Shin; Jihwan Bang; Hwanjun Song; Jae-Gil Lee (CoRR, 2023)

Meta-Learning for Online Update of Recommender Systems - Minseok Kim; Hwanjun Song; Yooju Shin; Dongmin Park; Kijung Shin; Jae-Gil Lee (Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022, Thirty-Fourth Conference on Innovative Applications of Artificial Intelligence, IAAI 2022, The Twelveth Symposium on Educational Advances in Artificial Intelligence, EAAI 2022 Virtual Event, February 22 - March 1, 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 (IEEE International Conference on Data Mining, ICDM 2022, Orlando, FL, USA, November 28 - Dec. 1, 2022, 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 (Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, 2022)

Meta-Learning for Online Update of Recommender Systems - Minseok Kim; Hwanjun Song; Yooju Shin; Dongmin Park; Kijung Shin; Jae-Gil Lee (CoRR, 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 (CoRR, 2022)

Robust Learning by Self-Transition for Handling Noisy Labels - Hwanjun Song; Minseok Kim; Dongmin Park; Yooju Shin; Jae-Gil Lee (KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, Singapore, August 14-18, 2021, 2021)

Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data - Dongmin Park; Hwanjun Song; Minseok Kim; Jae-Gil Lee (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

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 (KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020, 2020)

TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data - Dongmin Park; Hwanjun Song; Minseok Kim; Jae-Gil Lee (WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020)

Learning from Noisy Labels with Deep Neural Networks: A Survey - Hwanjun Song; Minseok Kim; Dongmin Park; Jae-Gil Lee (CoRR, 2020)

Two-Phase Learning for Overcoming Noisy Labels - Hwanjun Song; Minseok Kim; Dongmin Park; Jae-Gil Lee (CoRR, 2020)

Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation - Dongmin Park; Seokil Hong; Bohyung Han; Kyoung Mu Lee (2019 IEEE/CVF International Conference on Computer Vision, ICCV 2019, Seoul, Korea (South), October 27 - November 2, 2019, 2019)

Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation - Dongmin Park; Seokil Hong; Bohyung Han; Kyoung Mu Lee (CoRR, 2019)

MLAT: Metric Learning for kNN in Streaming Time Series - Dongmin Park; Susik Yoon; Hwanjun Song; Jae-Gil Lee (CoRR, 2019)

Prestopping: How Does Early Stopping Help Generalization against Label Noise? - Hwanjun Song; Minseok Kim; Dongmin Park; Jae-Gil Lee (CoRR, 2019)

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)

Adaptive beamforming for low-angle target tracking under multipath interference - Dongmin Park; Eunjung Yang; Soyeon Ahn; Joohwan Chun (IEEE Trans. Aerosp. Electron. Syst., 2014)

End-to-end design consideration of a radar altimeter for terrain-aided navigation - Joohwan Chun; Sanghyouk Choi; Inchan Paek; Dongmin Park; Kyungju Yoo (SAR Image Analysis, Modeling, and Techniques XIII, SPIE Remote Sensing, Dresden, Germany, 23-26 September 2013, 2013)

A 2.4 GHz Fractional-N Frequency Synthesizer With High-OSR \(Δ\)\(Σ\) 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 0.13\(μ\)m CMOS - Dongmin Park; SeongHwan Cho (2012 IEEE International Solid-State Circuits Conference, ISSCC 2012, San Francisco, CA, USA, February 19-23, 2012, 2012)

A fractional-N frequency synthesizer using high-OSR delta-sigma modulator and nested-PLL - Pyoungwon Park; Dongmin Park; SeongHwan Cho (2011 IEEE Custom Integrated Circuits Conference, CICC 2011, San Jose, CA, USA, Sept. 19-21, 2011, 2011)

A power-optimized CMOS LC VCO with wide tuning range in 0.5-V supply - Dongmin Park; SeongHwan Cho (International Symposium on Circuits and Systems (ISCAS 2006), 21-24 May 2006, Island of Kos, Greece, 2006)