Dongmin Park

Orcid: 0000-0001-8430-0294

According to our database1, Dongmin Park authored at least 39 papers between 2006 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning?
CoRR, March, 2026

See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis.
CoRR, February, 2026

THINKSAFE: Self-Generated Safety Alignment for Reasoning Models.
CoRR, January, 2026

2025
Lookahead Unmasking Elicits Accurate Decoding in Diffusion Language Models.
CoRR, November, 2025

Effective Test-Time Scaling of Discrete Diffusion through Iterative Refinement.
CoRR, November, 2025

Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess.
CoRR, July, 2025

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games.
CoRR, June, 2025

Alignment without Over-optimization: Training-Free Solution for Diffusion Models.
CoRR, January, 2025

Active Learning for Continual Learning: Keeping the Past Alive in the Present.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Test-time Alignment of Diffusion Models without Reward Over-optimization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024
Mitigating Dialogue Hallucination for Large Multi-modal Models via Adversarial Instruction Tuning.
CoRR, 2024

Prioritizing Informative Features and Examples for Deep Learning from Noisy Data.
CoRR, 2024

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Adaptive Shortcut Debiasing for Online Continual Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Learning From Noisy Labels With Deep Neural Networks: A Survey.
IEEE Trans. Neural Networks Learn. Syst., November, 2023

Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy.
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.
Proceedings of the International Conference on Machine Learning, 2023

2022
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning.
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.
Proceedings of the IEEE International Conference on Data Mining, 2022

Meta-Learning for Online Update of Recommender Systems.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data.
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.
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.
CoRR, 2020

Learning from Noisy Labels with Deep Neural Networks: A Survey.
CoRR, 2020

TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data.
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.
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?
CoRR, 2019

MLAT: Metric Learning for kNN in Streaming Time Series.
CoRR, 2019

Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2014
Adaptive beamforming for low-angle target tracking under multipath interference.
IEEE Trans. Aerosp. Electron. Syst., 2014

Load mapping for seamless interface between hydrodynamics and structural analyses.
Adv. Eng. Softw., 2014

2013
End-to-end design consideration of a radar altimeter for terrain-aided navigation.
Proceedings of the SAR Image Analysis, 2013

2012
A 2.4 GHz Fractional-N Frequency Synthesizer With High-OSR ΔΣ Modulator and Nested PLL.
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.
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.
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.
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.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006


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