Sungnyun Kim - RankMe

40 papers A* 8A 3Misc 1Journal 26Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DiffBlender: Composable and versatile multimodal text-to-image diffusion models. Expert Syst. Appl. Sungnyun Kim, Junsoo Lee, Kibeom Hong, Daesik Kim, Namhyuk Ahn
2025	A*	`conf`	DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs. ICML Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun
2025	J	`jnl`	DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs. CoRR Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun
2025	J	`jnl`	FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning. Trans. Mach. Learn. Res. Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun
2025	J	`jnl`	Flex-Judge: Think Once, Judge Anywhere. CoRR Jongwoo Ko, Sungnyun Kim, Sungwoo Cho, Se-Young Yun
2025	J	`jnl`	MAVFlow: Preserving Paralinguistic Elements with Conditional Flow Matching for Zero-Shot AV2AV Multilingual Translation. CoRR Sungwoo Cho, Jeongsoo Choi, Sungnyun Kim, Se-Young Yun
2025	J	`jnl`	Mixture-of-Recursions: Learning Dynamic Recursive Depths for Adaptive Token-Level Computation. CoRR Sangmin Bae, Yujin Kim, Reza Bayat, Sungnyun Kim, Jiyoun Ha, Tal Schuster, Adam Fisch, Hrayr Harutyunyan, Ziwei Ji, Aaron C. Courville, Se-Young Yun
2025	A*	`conf`	MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition. ICML Sungnyun Kim, Kangwook Jang, Sangmin Bae, Sungwoo Cho, Se-Young Yun
2025	J	`jnl`	MoHAVE: Mixture of Hierarchical Audio-Visual Experts for Robust Speech Recognition. CoRR Sungnyun Kim, Kangwook Jang, Sangmin Bae, Sungwoo Cho, Se-Young Yun
2025	A*	`conf`	Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation. ICLR Sungnyun Kim, Sungwoo Cho, Sangmin Bae, Kangwook Jang, Se-Young Yun
2025	J	`jnl`	Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation. CoRR Sungnyun Kim, Sungwoo Cho, Sangmin Bae, Kangwook Jang, Se-Young Yun
2025	J	`jnl`	Scalable Frameworks for Real-World Audio-Visual Speech Recognition. CoRR Sungnyun Kim
2025	J	`jnl`	Two Heads Are Better Than One: Audio-Visual Speech Error Correction with Dual Hypotheses. CoRR Sungnyun Kim, Kangwook Jang, Sungwoo Cho, Joon Son Chung, Hoirin Kim, Se-Young Yun
2024	J	`jnl`	Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning. CoRR Jihwan Oh, Sungnyun Kim, Gahee Kim, Sunghwan Kim, Se-Young Yun
2024	A*	`conf`	DistiLLM: Towards Streamlined Distillation for Large Language Models. ICML Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun
2024	J	`jnl`	DistiLLM: Towards Streamlined Distillation for Large Language Models. CoRR Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun
2024	A*	`conf`	DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. EMNLP Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto
2024	J	`jnl`	DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. CoRR Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto
2024	J	`jnl`	FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning. CoRR Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun
2024	—	`conf`	Learning Video Temporal Dynamics With Cross-Modal Attention For Robust Audio-Visual Speech Recognition. SLT Sungnyun Kim, Kangwook Jang, Sangmin Bae, Hoirin Kim, Se-Young Yun
2024	J	`jnl`	Learning Video Temporal Dynamics with Cross-Modal Attention for Robust Audio-Visual Speech Recognition. CoRR Sungnyun Kim, Kangwook Jang, Sangmin Bae, Hoirin Kim, Se-Young Yun
2024	Misc	`conf`	STaR: Distilling Speech Temporal Relation for Lightweight Speech Self-Supervised Learning Models. ICASSP Kangwook Jang, Sungnyun Kim, Hoirin Kim
2023	A*	`conf`	Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. CVPR Sungnyun Kim, Sangmin Bae, Se-Young Yun
2023	J	`jnl`	Coreset Sampling from Open-Set for Fine-Grained Self-Supervised Learning. CoRR Sungnyun Kim, Sangmin Bae, Se-Young Yun
2023	J	`jnl`	DiffBlender: Scalable and Composable Multimodal Text-to-Image Diffusion Models. CoRR Sungnyun Kim, Junsoo Lee, Kibeom Hong, Daesik Kim, Namhyuk Ahn
2023	A	`conf`	Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification. INTERSPEECH Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun
2023	J	`jnl`	Patch-Mix Contrastive Learning with Audio Spectrogram Transformer on Respiratory Sound Classification. CoRR Sangmin Bae, June-Woo Kim, Won-Yang Cho, Hyerim Baek, Soyoun Son, Byungjo Lee, Changwan Ha, Kyongpil Tae, Sungnyun Kim, Se-Young Yun
2023	A	`conf`	Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation. INTERSPEECH Kangwook Jang, Sungnyun Kim, Se-Young Yun, Hoirin Kim
2023	J	`jnl`	Recycle-and-Distill: Universal Compression Strategy for Transformer-based Speech SSL Models with Attention Map Reusing and Masking Distillation. CoRR Kangwook Jang, Sungnyun Kim, Se-Young Yun, Hoirin Kim
2023	J	`jnl`	STaR: Distilling Speech Temporal Relation for Lightweight Speech Self-Supervised Learning Models. CoRR Kangwook Jang, Sungnyun Kim, Hoirin Kim
2023	A*	`conf`	Self-Contrastive Learning: Single-Viewed Supervised Contrastive Framework Using Sub-network. AAAI Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
2022	J	`jnl`	Calibration of Few-Shot Classification Tasks: Mitigating Misconfidence From Distribution Mismatch. IEEE Access Sungnyun Kim, Se-Young Yun
2022	A	`conf`	ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CIKM Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
2022	J	`jnl`	ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning. CoRR Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
2022	—	`conf`	Real-time and Explainable Detection of Epidemics with Global News Data. Healthcare AI and COVID-19 Workshop Sungnyun Kim, Jaewoo Shin, Seongha Eom, Jihwan Oh, Se-Young Yun
2022	J	`jnl`	Revisiting the Updates of a Pre-trained Model for Few-shot Learning. CoRR Yujin Kim, Jaehoon Oh, Sungnyun Kim, Se-Young Yun
2022	A*	`conf`	Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty. NeurIPS Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
2022	J	`jnl`	Understanding Cross-Domain Few-Shot Learning: An Experimental Study. CoRR Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun
2021	J	`jnl`	Self-Contrastive Learning. CoRR Sangmin Bae, Sungnyun Kim, Jongwoo Ko, Gihun Lee, Seungjong Noh, Se-Young Yun
2020	J	`jnl`	MixCo: Mix-up Contrastive Learning for Visual Representation. CoRR Sungnyun Kim, Gihun Lee, Sangmin Bae, Se-Young Yun