Dongmin Park - RankMe

48 papers A* 16C 1Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis. CoRR Jaehyun Park, Minyoung Ahn, Minkyu Kim, Jonghyun Lee, Jae-Gil Lee, Dongmin Park
2026	J	`jnl`	THINKSAFE: Self-Generated Safety Alignment for Reasoning Models. CoRR Seanie Lee, Sangwoo Park, Yumin Choi, Gyeongman Kim, Minki Kang, Jihun Yun, Dongmin Park, Jongho Park, Sung Ju Hwang
2026	J	`jnl`	VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning? CoRR Minkyu Kim, Sangheon Lee, Dongmin Park
2025	A*	`conf`	Active Learning for Continual Learning: Keeping the Past Alive in the Present. ICLR Jaehyun Park, Dongmin Park, Jae-Gil Lee
2025	J	`jnl`	Active Learning for Continual Learning: Keeping the Past Alive in the Present. CoRR Jaehyun Park, Dongmin Park, Jae-Gil Lee
2025	J	`jnl`	Alignment without Over-optimization: Training-Free Solution for Diffusion Models. CoRR Sunwoo Kim, Minkyu Kim, Dongmin Park
2025	J	`jnl`	Can Large Language Models Develop Strategic Reasoning? Post-training Insights from Learning Chess. CoRR Dongyoon Hwang, Hojoon Lee, Jaegul Choo, Dongmin Park, Jongho Park
2025	J	`jnl`	Effective Test-Time Scaling of Discrete Diffusion through Iterative Refinement. CoRR Sanghyun Lee, Sunwoo Kim, Seungryong Kim, Jongho Park, Dongmin Park
2025	A*	`conf`	FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games. EMNLP Jaewoo Ahn, Junseo Kim, Heeseung Yun, Jaehyeon Son, Dongmin Park, Jaewoong Cho, Gunhee Kim
2025	J	`jnl`	FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games. CoRR Jaewoo Ahn, Junseo Kim, Heeseung Yun, Jaehyeon Son, Dongmin Park, Jaewoong Cho, Gunhee Kim
2025	J	`jnl`	Lookahead Unmasking Elicits Accurate Decoding in Diffusion Language Models. CoRR Sanghyun Lee, Seungryong Kim, Jongho Park, Dongmin Park
2025	J	`jnl`	Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games. CoRR Dongmin Park, Minkyu Kim, Beongjun Choi, Junhyuck Kim, Keon Lee, Jonghyun Lee, Inkyu Park, Byeong-Uk Lee, Jaeyoung Hwang, Jaewoo Ahn, Ameya Sunil Mahabaleshwarkar, Bilal Kartal, Pritam Biswas, Yoshi Suhara, Kangwook Lee, Jaewoong Cho
2025	A*	`conf`	Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance. ICLR Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho
2025	A*	`conf`	Test-time Alignment of Diffusion Models without Reward Over-optimization. ICLR Sunwoo Kim, Minkyu Kim, Dongmin Park
2024	A*	`conf`	Adaptive Shortcut Debiasing for Online Continual Learning. AAAI Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee
2024	J	`jnl`	Mitigating Dialogue Hallucination for Large Multi-modal Models via Adversarial Instruction Tuning. CoRR Dongmin Park, Zhaofang Qian, Guangxing Han, Ser-Nam Lim
2024	A*	`conf`	One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning. ICML Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee
2024	J	`jnl`	Prioritizing Informative Features and Examples for Deep Learning from Noisy Data. CoRR Dongmin Park
2024	J	`jnl`	Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance. CoRR Dongmin Park, Sebin Kim, Taehong Moon, Minkyu Kim, Kangwook Lee, Jaewoong Cho
2023	J	`jnl`	Adaptive Shortcut Debiasing for Online Continual Learning. CoRR Doyoung Kim, Dongmin Park, Yooju Shin, Jihwan Bang, Hwanjun Song, Jae-Gil Lee
2023	A*	`conf`	Context Consistency Regularization for Label Sparsity in Time Series. ICML Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee
2023	J	`jnl`	Learning From Noisy Labels With Deep Neural Networks: A Survey. IEEE Trans. Neural Networks Learn. Syst. Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee
2023	J	`jnl`	One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning. CoRR Doyoung Kim, Susik Yoon, Dongmin Park, Youngjun Lee, Hwanjun Song, Jihwan Bang, Jae-Gil Lee
2023	A*	`conf`	Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy. NeurIPS Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee
2023	J	`jnl`	Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy. CoRR Dongmin Park, Seola Choi, Doyoung Kim, Hwanjun Song, Jae-Gil Lee
2022	A*	`conf`	Meta-Learning for Online Update of Recommender Systems. AAAI Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee
2022	J	`jnl`	Meta-Learning for Online Update of Recommender Systems. CoRR Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee
2022	A*	`conf`	Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning. NeurIPS Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee
2022	J	`jnl`	Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning. CoRR Dongmin Park, Yooju Shin, Jihwan Bang, Youngjun Lee, Hwanjun Song, Jae-Gil Lee
2022	A*	`conf`	Multi-view POI-level Cellular Trajectory Reconstruction for Digital Contact Tracing of Infectious Diseases. ICDM Dongmin Park, Junhyeok Kang, Hwanjun Song, Susik Yoon, Jae-Gil Lee
2021	A*	`conf`	Robust Learning by Self-Transition for Handling Noisy Labels. KDD Hwanjun Song, Minseok Kim, Dongmin Park, Yooju Shin, Jae-Gil Lee
2021	A*	`conf`	Task-Agnostic Undesirable Feature Deactivation Using Out-of-Distribution Data. NeurIPS Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee
2020	A*	`conf`	Hi-COVIDNet: Deep Learning Approach to Predict Inbound COVID-19 Patients and Case Study in South Korea. KDD Minseok Kim, Junhyeok Kang, Doyoung Kim, Hwanjun Song, Hyangsuk Min, Youngeun Nam, Dongmin Park, Jae-Gil Lee
2020	J	`jnl`	Learning from Noisy Labels with Deep Neural Networks: A Survey. CoRR Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
2020	A*	`conf`	TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data. WWW Dongmin Park, Hwanjun Song, Minseok Kim, Jae-Gil Lee
2020	J	`jnl`	Two-Phase Learning for Overcoming Noisy Labels. CoRR Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
2019	A*	`conf`	Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation. ICCV Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee
2019	J	`jnl`	Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation. CoRR Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee
2019	J	`jnl`	MLAT: Metric Learning for kNN in Streaming Time Series. CoRR Dongmin Park, Susik Yoon, Hwanjun Song, Jae-Gil Lee
2019	J	`jnl`	Prestopping: How Does Early Stopping Help Generalization against Label Noise? CoRR Hwanjun Song, Minseok Kim, Dongmin Park, Jae-Gil Lee
2014	J	`jnl`	Adaptive beamforming for low-angle target tracking under multipath interference. IEEE Trans. Aerosp. Electron. Syst. Dongmin Park, Eunjung Yang, Soyeon Ahn, Joohwan Chun
2014	J	`jnl`	Load mapping for seamless interface between hydrodynamics and structural analyses. Adv. Eng. Softw. Joonghyun Ji, Kangwook Kim, Minkook Seo, TaeYoung Kim, Dongmin Park, Yonghwan Kim, Kwang Hee Ko
2013	—	`conf`	End-to-end design consideration of a radar altimeter for terrain-aided navigation. SAR Joohwan Chun, Sanghyouk Choi, Inchan Paek, Dongmin Park, Kyungju Yoo
2012	J	`jnl`	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 Dongmin Park, SeongHwan Cho
2012	—	`conf`	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 Dongmin Park, SeongHwan Cho
2012	J	`jnl`	A 2.4 GHz Fractional-N Frequency Synthesizer With High-OSR ΔΣ Modulator and Nested PLL. IEEE J. Solid State Circuits Pyoungwon Park, Dongmin Park, SeongHwan Cho
2011	—	`conf`	A fractional-N frequency synthesizer using high-OSR delta-sigma modulator and nested-PLL. CICC Pyoungwon Park, Dongmin Park, SeongHwan Cho
2006	C	`conf`	A power-optimized CMOS LC VCO with wide tuning range in 0.5-V supply. ISCAS Dongmin Park, SeongHwan Cho