Sungroh Yoon

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 271

Top Venues

Publications

Kukjin Choi, Jihun Yi, Jisoo Mok, Sungroh Yoon
Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation. CoRR (2024)
Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon
DAFA: Distance-Aware Fair Adversarial Training. ICLR (2024)
Yeongtak Oh, Saehyung Lee, Uiwon Hwang, Sungroh Yoon
On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss. CoRR (2024)
Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. CoRR (2024)
Siwon Kim, Shuyang Dai, Mohammad Kachuee, Shayan Ray, Tara Taghavi, Sungroh Yoon
GrounDial: Human-norm Grounded Safe Dialog Response Generation. EACL (Findings) (2024)
Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune L. Gwon, Sungroh Yoon
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models. CoRR (2024)
Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon
SF(DA)2: Source-free Domain Adaptation Through the Lens of Data Augmentation. ICLR (2024)
Sangwon Yu, Changmin Lee, Hojin Lee, Sungroh Yoon
Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor. ACL (1) (2024)
Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon
: Source-free Domain Adaptation Through the Lens of Data Augmentation. CoRR (2024)
Siwon Kim, Shuyang Dai, Mohammad Kachuee, Shayan Ray, Tara Taghavi, Sungroh Yoon
GrounDial: Human-norm Grounded Safe Dialog Response Generation. CoRR (2024)
Jongyoon Song, Sangwon Yu, Sungroh Yoon
Large Language Models are Skeptics: False Negative Problem of Input-conflicting Hallucination. CoRR (2024)
Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, Ohsung Kwon, Jungwhan Kim, Jaehong Lee, Eunwoo Song, Myungwoo Oh, Sungroh Yoon, Kang Min Yoo
Unified Speech-Text Pretraining for Spoken Dialog Modeling. CoRR (2024)
Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon
DAFA: Distance-Aware Fair Adversarial Training. CoRR (2024)
Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon, Sungroh Yoon
Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models. EACL (1) (2024)
Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach. ACL (1) (2024)
Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization. IEEE Trans. Pattern Anal. Mach. Intell. 46 (3) (2024)
Daegyu Kim, Jooyoung Choi, Chaehun Shin, Uiwon Hwang, Sungroh Yoon
Improving Diffusion-Based Generative Models via Approximated Optimal Transport. CoRR (2024)
Jihun Yi, Dahuin Jung, Sungroh Yoon
Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models. CoRR (2024)
Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon
Disentangled Motion Modeling for Video Frame Interpolation. CoRR (2024)
Juhyeon Shin, Jonghyun Lee, Saehyung Lee, Minjun Park, Dongjun Lee, Uiwon Hwang, Sungroh Yoon
Gradient Alignment with Prototype Feature for Fully Test-time Adaptation. CoRR (2024)
Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. CoRR (2024)
Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems. CoRR (2024)
Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. ICLR (2024)
Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon
Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach. CoRR (2024)
Uiwon Hwang, Sung-Woo Kim, Dahuin Jung, Seung Wook Kim, Hyejoo Lee, Sang Won Seo, Joon-Kyung Seong, Sungroh Yoon
Real-world prediction of preclinical Alzheimer's disease with a deep generative model. Artif. Intell. Medicine 144 (2023)
Jiwon Park, Jeonghee Jo, Sungroh Yoon
Mass Spectra Prediction with Structural Motif-based Graph Neural Networks. CoRR (2023)
Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon, Sungroh Yoon
Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency. ACL (Findings) (2023)
Yang Jeong Park, Sung Eun Jerng, Jin-Sung Park, Choah Kwon, Chia-Wei Hsu, Zhichu Ren, Sungroh Yoon, Ju Li
1.5 million materials narratives generated by chatbots. CoRR (2023)
Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. ICLR (2023)
Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. CoRR (2023)
Bong Gyun Kang, HyunGi Kim, Dahuin Jung, Sungroh Yoon
CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence. NeurIPS (2023)
Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon
On the Impact of Knowledge Distillation for Model Interpretability. ICML (2023)
Yang Jeong Park, Hyungi Kim, Jeonghee Jo, Sungroh Yoon
Deep contrastive learning of molecular conformation for efficient property prediction. Nat. Comput. Sci. 3 (12) (2023)
Jooyoung Choi, Yunjey Choi, Yunji Kim, Junho Kim, Sungroh Yoon
Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models. CoRR (2023)
Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon
Edit-A-Video: Single Video Editing with Object-Aware Consistency. ACML (2023)
Yeongtak Oh, Jooyoung Choi, Yongsung Kim, Minjun Park, Chaehun Shin, Sungroh Yoon
ControlDreamer: Stylized 3D Generation with Multi-View ControlNet. CoRR (2023)
Dahuin Jung, Hyungyu Lee, Sungroh Yoon
Sample-efficient Adversarial Imitation Learning. CoRR (2023)
Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
ProPILE: Probing Privacy Leakage in Large Language Models. NeurIPS (2023)
Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. NeurIPS (2023)
Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
ProPILE: Probing Privacy Leakage in Large Language Models. CoRR (2023)
Jaihyun Koh, Jaihyun Lew, Jangho Lee, Sungroh Yoon
MG-MLP: Multi-gated MLP for Restoring Images from Spatially Variant Degradations. BMVC (2023)
Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon
Improving Visual Prompt Tuning for Self-supervised Vision Transformers. ICML (2023)
Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon
PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation. IEEE Trans. Dependable Secur. Comput. 20 (1) (2023)
Daegyu Kim, Chaehun Shin, Jooyoung Choi, Dahuin Jung, Sungroh Yoon
Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection. CoRR (2023)
Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon
Probabilistic Concept Bottleneck Models. ICML (2023)
Sang-gil Lee, Eunji Kim, Jae Seok Bae, Jung Hoon Kim, Sungroh Yoon
Robust End-to-End Focal Liver Lesion Detection Using Unregistered Multiphase Computed Tomography Images. IEEE Trans. Emerg. Top. Comput. Intell. 7 (2) (2023)
Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. CoRR (2023)
Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu, Sungroh Yoon
Large-scale Lifelong Learning of In-context Instructions and How to Tackle It. ACL (1) (2023)
Sangwon Yu, Changmin Lee, Hojin Lee, Sungroh Yoon
Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor. CoRR (2023)
Sungwon Kim, Kevin J. Shih, Rohan Badlani, João Felipe Santos, Evelina Bakhturina, Mikyas Desta, Rafael Valle, Sungroh Yoon, Bryan Catanzaro
P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting. NeurIPS (2023)
Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon
Edit-A-Video: Single Video Editing with Object-Aware Consistency. CoRR (2023)
Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon
Improving Visual Prompt Tuning for Self-supervised Vision Transformers. CoRR (2023)
Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon
On the Impact of Knowledge Distillation for Model Interpretability. CoRR (2023)
Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon
Probabilistic Concept Bottleneck Models. CoRR (2023)
Heeseung Kim, Sungwon Kim, Jiheum Yeom, Sungroh Yoon
UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data. INTERSPEECH (2023)
Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. ICLR (2023)
Nohil Park, Joonsuk Park, Kang Min Yoo, Sungroh Yoon
On the Analysis of Cross-Lingual Prompt Tuning for Decoder-based Multilingual Model. CoRR (2023)
Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising. NeurIPS (2023)
Heeseung Kim, Sungwon Kim, Jiheum Yeom, Sungroh Yoon
UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data. CoRR (2023)
Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising. CoRR (2023)
Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. CoRR (2022)
Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon
Dataset Condensation with Contrastive Signals. CoRR (2022)
Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon
Stein Latent Optimization for Generative Adversarial Networks. ICLR (2022)
Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks. ICPP (2022)
Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon
Confidence Score for Source-Free Unsupervised Domain Adaptation. CoRR (2022)
Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon
Perception Prioritized Training of Diffusion Models. CoRR (2022)
Sunwoo Ahn, Hayoon Yi, Ho Bae, Sungroh Yoon, Yunheung Paek
Data Embedding Scheme for Efficient Program Behavior Modeling With Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. 6 (4) (2022)
Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization. CoRR (2022)
Jangho Lee, Jeonghee Jo, Byounghwa Lee, Jung-Hoon Lee, Sungroh Yoon
Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks. Frontiers Comput. Neurosci. 16 (2022)
Jaehee Jang, Younho Lee, Andrey Kim, Byunggook Na, Donggeon Yhee, Byounghan Lee, Jung Hee Cheon, Sungroh Yoon
Privacy-Preserving Deep Sequential Model with Matrix Homomorphic Encryption. AsiaCCS (2022)
Uiwon Hwang, Euideuk Hwang, Minsoo Kang, Sungroh Yoon
Prediction of Mortality and Intervention in COVID-19 Patients Using Generative Adversarial Networks. Healthcare AI and COVID-19 Workshop (2022)
Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon
Dataset Condensation with Contrastive Signals. ICML (2022)
Sungwon Kim, Heeseung Kim, Sungroh Yoon
Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data. CoRR (2022)
Heonseok Ha, Jaehee Jang, Yonghyun Jeong, Sungroh Yoon
Membership Feature Disentanglement Network. AsiaCCS (2022)
Sangwon Yu, Jongyoon Song, Heeseung Kim, Seongmin Lee, Woo-Jong Ryu, Sungroh Yoon
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings. ACL (1) (2022)
Ho Bae, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
DNA Privacy: Analyzing Malicious DNA Sequences Using Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon
Perception Prioritized Training of Diffusion Models. CVPR (2022)
Heeseung Kim, Sungwon Kim, Sungroh Yoon
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance. ICML (2022)
Geonho Cha, Chaehun Shin, Sungroh Yoon, Dongyoon Wee
Out of Sight, Out of Mind: A Source-View-Wise Feature Aggregation for Multi-View Image-Based Rendering. CoRR (2022)
Seonwoo Min, Byunghan Lee, Sungroh Yoon
TargetNet: functional microRNA target prediction with deep neural networks. Bioinform. 38 (3) (2022)
Jongwan Kim, Dongjin Lee, Byunggook Na, Seongsik Park, Jeonghee Jo, Sungroh Yoon
E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations. CoRR (2022)
Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon
Confidence Score for Source-Free Unsupervised Domain Adaptation. ICML (2022)
Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks. CoRR (2022)
Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CoRR (2022)
Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon
Membership Privacy-Preserving GAN. BMVC (2022)
Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? CVPR (2022)
Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon
AutoSNN: Towards Energy-Efficient Spiking Neural Networks. ICML (2022)
Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization. CVPR (2022)
Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? CoRR (2022)
Hyun-Soo Choi, Dahuin Jung, Siwon Kim, Sungroh Yoon
Imbalanced Data Classification via Cooperative Interaction Between Classifier and Generator. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Jaihyun Koh, Jangho Lee, Sungroh Yoon
BNUDC: A Two-Branched Deep Neural Network for Restoring Images from Under-Display Cameras. CVPR (2022)
Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CVPR (2022)
Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon
AutoSNN: Towards Energy-Efficient Spiking Neural Networks. CoRR (2022)
Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon
Towards a Rigorous Evaluation of Time-Series Anomaly Detection. AAAI (2022)
Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization. CoRR (2022)
Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior. ICLR (2022)
Seongsik Park, Dongjin Lee, Sungroh Yoon
Noise-Robust Deep Spiking Neural Networks with Temporal Information. CoRR (2021)
Bumju Kwak, Jeonghee Jo, Byunghan Lee, Sungroh Yoon
Geometry-aware Transformer for molecular property prediction. CoRR (2021)
Sang-gil Lee, Eunji Kim, Jae Seok Bae, Jung Hoon Kim, Sungroh Yoon
Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images. CoRR (2021)
Byunggook Na, Jaehee Jang, Seongsik Park, Sei Joon Kim, Joonoo Kim, Moon-Sik Jeong, Kwang-Choon Kim, Seon Heo, Yoonsang Kim, Sungroh Yoon
Scalable Smartphone Cluster for Deep Learning. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sungroh Yoon