Sungroh Yoon - RankMe

383 papers A* 64A 14B 2C 6Misc 8Journal 246Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Balancing Saliency and Coverage: Semantic Prominence-Aware Budgeting for Visual Token Compression in VLMs. CoRR Jaehoon Lee, Mingi Jung, Soohyuk Jang, Seungryong Yoo, Dahuin Jung, Sungroh Yoon
2026	J	`jnl`	Beyond Language-Specific Neurons: The Challenge of Identifying Speech-Specific Neurons in Multimodal LLMs. IEEE J. Sel. Top. Signal Process. Nohil Park, Che Hyun Lee, Jiheum Yeom, Heeseung Kim, Sungroh Yoon
2026	A*	`conf`	CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift. AAAI HyunGi Kim, Jisoo Mok, Hyungyu Lee, Juhyeon Shin, Sungroh Yoon
2026	J	`jnl`	Contextualized Visual Personalization in Vision-Language Models. CoRR Yeongtak Oh, Sangwon Yu, Junsung Park, Han Cheol Moon, Jisoo Mok, Sungroh Yoon
2026	J	`jnl`	Exploring the transformer-based and diffusion-based models for single image deblurring. J. Vis. Commun. Image Represent. Seunghwan Park, Chaehun Shin, Jaihyun Lew, Sungroh Yoon
2026	J	`jnl`	HeSS: Head Sensitivity Score for Sparsity Redistribution in VGGT. CoRR Yongsung Kim, Wooseok Song, Jaihyun Lew, Hun Hwangbo, Jaehoon Lee, Sungroh Yoon
2026	J	`jnl`	Knowledge Integration Decay in Search-Augmented Reasoning of Large Language Models. CoRR Sangwon Yu, Ik-hwan Kim, Donghun Kang, Bongkyu Hwang, Junhwa Choi, Suk Hoon Jung, Seungki Hong, Taehee Lee, Sungroh Yoon
2026	J	`jnl`	Mirroring the Mind: Distilling Human-Like Metacognitive Strategies into Large Language Models. CoRR Ik-hwan Kim, Hyeongrok Han, Mingi Jung, Sangwon Yu, Jinseok Hong, Sang Hun Kim, Yoonyoung Choi, Sungroh Yoon
2025	J	`jnl`	A Multifaceted Analysis of Negative Bias in Large Language Models through the Lens of Parametric Knowledge. CoRR Jongyoon Song, Sangwon Yu, Sungroh Yoon
2025	J	`jnl`	A comprehensive survey of deep learning for time series forecasting: architectural diversity and open challenges. Artif. Intell. Rev. Jongseon Kim, Hyungjoon Kim, HyunGi Kim, Dongjun Lee, Sungroh Yoon
2025	A*	`conf`	Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation. AAAI HyunGi Kim, Siwon Kim, Jisoo Mok, Sungroh Yoon
2025	J	`jnl`	Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation. CoRR HyunGi Kim, Siwon Kim, Jisoo Mok, Sungroh Yoon
2025	J	`jnl`	CNN-based TEM image denoising from first principles. CoRR Jinwoong Chae, Sungwook Hong, Sungkyu Kim, Sungroh Yoon, Gunn Kim
2025	A*	`conf`	Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection. ICML HyunGi Kim, Jisoo Mok, Dongjun Lee, Jaihyun Lew, Sungjae Kim, Sungroh Yoon
2025	J	`jnl`	Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection. CoRR HyunGi Kim, Jisoo Mok, Dongjun Lee, Jaihyun Lew, Sungjae Kim, Sungroh Yoon
2025	—	`conf`	Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment. NAACL (Long Papers) Sangwon Yu, Jongyoon Song, Bongkyu Hwang, Hoyoung Kang, Sooah Cho, Junhwa Choi, Seongho Joe, Taehee Lee, Youngjune Gwon, Sungroh Yoon
2025	J	`jnl`	DCText: Scheduled Attention Masking for Visual Text Generation via Divide-and-Conquer Strategy. CoRR Jaewoo Song, Jooyoung Choi, Kanghyun Baek, Sangyub Lee, Daemin Park, Sungroh Yoon
2025	A*	`conf`	DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection. CVPR Jaewoo Song, Daemin Park, Kanghyun Baek, Sangyub Lee, Jooyoung Choi, Eunji Kim, Sungroh Yoon
2025	J	`jnl`	DefectFill: Realistic Defect Generation with Inpainting Diffusion Model for Visual Inspection. CoRR Jaewoo Song, Daemin Park, Kanghyun Baek, Sangyub Lee, Jooyoung Choi, Eunji Kim, Sungroh Yoon
2025	J	`jnl`	Diffusion-Stego: Training-free diffusion generative steganography via message projection. Inf. Sci. Daegyu Kim, Chaehun Shin, Jooyoung Choi, Dahuin Jung, Sungroh Yoon
2025	A*	`conf`	Disentangled Motion Modeling for Video Frame Interpolation. AAAI Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon
2025	—	`conf`	Does Your Voice Assistant Remember? Analyzing Conversational Context Recall and Utilization in Voice Interaction Models. ACL (Findings) Heeseung Kim, Che Hyun Lee, Sangkwon Park, Jiheum Yeom, Nohil Park, Sangwon Yu, Sungroh Yoon
2025	J	`jnl`	Does Your Voice Assistant Remember? Analyzing Conversational Context Recall and Utilization in Voice Interaction Models. CoRR Heeseung Kim, Che Hyun Lee, Sangkwon Park, Jiheum Yeom, Nohil Park, Sangwon Yu, Sungroh Yoon
2025	—	`conf`	EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models. ACL (1) Che Hyun Lee, Heeseung Kim, Jiheum Yeom, Sungroh Yoon
2025	J	`jnl`	EdiText: Controllable Coarse-to-Fine Text Editing with Diffusion Language Models. CoRR Che Hyun Lee, Heeseung Kim, Jiheum Yeom, Sungroh Yoon
2025	—	`conf`	Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis. ACL (1) Jisoo Mok, Ik-hwan Kim, Sangkwon Park, Sungroh Yoon
2025	J	`jnl`	Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis. CoRR Jisoo Mok, Ik-hwan Kim, Sangkwon Park, Sungroh Yoon
2025	J	`jnl`	Guiding What Not to Generate: Automated Negative Prompting for Text-Image Alignment. CoRR Sangha Park, Eunji Kim, Yeongtak Oh, Jooyoung Choi, Sungroh Yoon
2025	J	`jnl`	Know "No" Better: A Data-Driven Approach for Enhancing Negation Awareness in CLIP. CoRR Junsung Park, Jungbeom Lee, Jongyoon Song, Sangwon Yu, Dahuin Jung, Sungroh Yoon
2025	A*	`conf`	Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator. CVPR Chaehun Shin, Jooyoung Choi, Heeseung Kim, Sungroh Yoon
2025	Misc	`conf`	NanoVoice: Efficient Speaker-Adaptive Text-to-Speech for Multiple Speakers. ICASSP Nohil Park, Heeseung Kim, Che Hyun Lee, Jooyoung Choi, Jiheum Yeom, Sungroh Yoon
2025	J	`jnl`	Negative-Guided Subject Fidelity Optimization for Zero-Shot Subject-Driven Generation. CoRR Chaehun Shin, Jooyoung Choi, Johan Barthelemy, Jungbeom Lee, Sungroh Yoon
2025	J	`jnl`	On Mitigating Stability-Plasticity Dilemma in CLIP-guided Image Morphing via Geodesic Distillation Loss. Int. J. Comput. Vis. Yeongtak Oh, Saehyung Lee, Uiwon Hwang, Sungroh Yoon
2025	J	`jnl`	RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models. CoRR Yeongtak Oh, Jisoo Mok, Dohyun Chung, Juhyeon Shin, Sangha Park, Johan Barthelemy, Sungroh Yoon
2025	J	`jnl`	Regularizing Hard Examples Improves Adversarial Robustness. J. Mach. Learn. Res. Hyungyu Lee, Saehyung Lee, Ho Bae, Sungroh Yoon
2025	A*	`conf`	Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable Diffusion. CVPR Eunji Kim, Siwon Kim, Minjun Park, Rahim Entezari, Sungroh Yoon
2025	J	`jnl`	SAVE: Sparse Autoencoder-Driven Visual Information Enhancement for Mitigating Object Hallucination. CoRR Sangha Park, Seungryong Yoo, Jisoo Mok, Sungroh Yoon
2025	J	`jnl`	TextGuider: Training-Free Guidance for Text Rendering via Attention Alignment. CoRR Kanghyun Baek, Sangyub Lee, Jin Young Choi, Jaewoo Song, Daemin Park, Jooyoung Choi, Chaehun Shin, Bohyung Han, Sungroh Yoon
2025	A*	`conf`	Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage. ICML Saehyung Lee, Seunghyun Yoon, Trung Bui, Jing Shi, Sungroh Yoon
2025	—	`conf`	Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context. NAACL (Findings) Sangwon Yu, Ik-hwan Kim, Jongyoon Song, Saehyung Lee, Junsung Park, Sungroh Yoon
2025	A*	`conf`	Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models. ICML Mingi Jung, Saehyung Lee, Eunji Kim, Sungroh Yoon
2025	J	`jnl`	Visual Attention Never Fades: Selective Progressive Attention ReCalibration for Detailed Image Captioning in Multimodal Large Language Models. CoRR Mingi Jung, Saehuyng Lee, Eunji Kim, Sungroh Yoon
2025	Misc	`conf`	VoiceGuider: Enhancing Out-of-Domain Performance in Parameter-Efficient Speaker-Adaptive Text-to-Speech via Autoguidance. ICASSP Jiheum Yeom, Heeseung Kim, Jooyoung Choi, Che Hyun Lee, Nohil Park, Sungroh Yoon
2024	J	`jnl`	A Comprehensive Survey of Time Series Forecasting: Architectural Diversity and Open Challenges. CoRR Jongseon Kim, Hyungjoon Kim, HyunGi Kim, Dongjun Lee, Sungroh Yoon
2024	J	`jnl`	Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization. IEEE Trans. Pattern Anal. Mach. Intell. Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon
2024	A	`conf`	CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection. CIKM Jihun Yi, Sungroh Yoon
2024	J	`jnl`	CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection. CoRR Jihun Yi, Sungroh Yoon
2024	A	`conf`	ControlDreamer: Blending Geometry and Style in Text-to-3D. BMVC Yeongtak Oh, Jooyoung Choi, Yongsung Kim, Minjun Park, Chaehun Shin, Sungroh Yoon
2024	—	`conf`	Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor. ACL (1) Sangwon Yu, Changmin Lee, Hojin Lee, Sungroh Yoon
2024	J	`jnl`	Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment. CoRR Sangwon Yu, Jongyoon Song, Bongkyu Hwang, Hoyoung Kang, Sooah Cho, Junhwa Choi, Seongho Joe, Taehee Lee, Youngjune L. Gwon, Sungroh Yoon
2024	A*	`conf`	DAFA: Distance-Aware Fair Adversarial Training. ICLR Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon
2024	J	`jnl`	DAFA: Distance-Aware Fair Adversarial Training. CoRR Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon
2024	J	`jnl`	Disentangled Motion Modeling for Video Frame Interpolation. CoRR Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon
2024	—	`conf`	Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. ECCV (52) Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon
2024	J	`jnl`	Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. CoRR Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon
2024	—	`conf`	Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models. EACL (1) Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon, Sungroh Yoon
2024	J	`jnl`	Entity-level Factual Adaptiveness of Fine-tuning based Abstractive Summarization Models. CoRR Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune L. Gwon, Sungroh Yoon
2024	A*	`conf`	Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. ICLR Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon
2024	J	`jnl`	Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors. CoRR Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin, Uiwon Hwang, Sungroh Yoon
2024	J	`jnl`	Gradient Alignment with Prototype Feature for Fully Test-time Adaptation. CoRR Juhyeon Shin, Jonghyun Lee, Saehyung Lee, Minjun Park, Dongjun Lee, Uiwon Hwang, Sungroh Yoon
2024	—	`conf`	GrounDial: Human-norm Grounded Safe Dialog Response Generation. EACL (Findings) Siwon Kim, Shuyang Dai, Mohammad Kachuee, Shayan Ray, Tara Taghavi, Sungroh Yoon
2024	J	`jnl`	GrounDial: Human-norm Grounded Safe Dialog Response Generation. CoRR Siwon Kim, Shuyang Dai, Mohammad Kachuee, Shayan Ray, Tara Taghavi, Sungroh Yoon
2024	J	`jnl`	Improving Diffusion-Based Generative Models via Approximated Optimal Transport. CoRR Daegyu Kim, Jooyoung Choi, Chaehun Shin, Uiwon Hwang, Sungroh Yoon
2024	J	`jnl`	Improving Geometry in Sparse-View 3DGS via Reprojection-based DoF Separation. CoRR Yongsung Kim, Minjun Park, Jooyoung Choi, Sungroh Yoon
2024	—	`conf`	Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach. ACL (1) Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon
2024	J	`jnl`	Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach. CoRR Saehyung Lee, Sangwon Yu, Junsung Park, Jihun Yi, Sungroh Yoon
2024	J	`jnl`	Interpretable Language Modeling via Induction-head Ngram Models. CoRR Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao
2024	A*	`conf`	Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting. NeurIPS Bong Gyun Kang, Dongjun Lee, HyunGi Kim, Dohyun Chung, Sungroh Yoon
2024	—	`conf`	LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems. NAACL (Industry Track) Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon
2024	J	`jnl`	LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems. CoRR Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon
2024	J	`jnl`	Large Language Models are Skeptics: False Negative Problem of Input-conflicting Hallucination. CoRR Jongyoon Song, Sangwon Yu, Sungroh Yoon
2024	J	`jnl`	Large-Scale Text-to-Image Model with Inpainting is a Zero-Shot Subject-Driven Image Generator. CoRR Chaehun Shin, Jooyoung Choi, Heeseung Kim, Sungroh Yoon
2024	J	`jnl`	NanoVoice: Efficient Speaker-Adaptive Text-to-Speech for Multiple Speakers. CoRR Nohil Park, Heeseung Kim, Che Hyun Lee, Jooyoung Choi, Jiheum Yeom, Sungroh Yoon
2024	J	`jnl`	Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models. CoRR Jihun Yi, Dahuin Jung, Sungroh Yoon
2024	J	`jnl`	On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss. CoRR Yeongtak Oh, Saehyung Lee, Uiwon Hwang, Sungroh Yoon
2024	A*	`conf`	Paralinguistics-Aware Speech-Empowered Large Language Models for Natural Conversation. NeurIPS Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, Ohsung Kwon, Soyoon Kim, Jungwhan Kim, Jaehong Lee, Eunwoo Song, Myungwoo Oh, Jung-Woo Ha, Sungroh Yoon, Kang Min Yoo
2024	J	`jnl`	SF(DA) CoRR Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon
2024	A*	`conf`	SF(DA)2: Source-free Domain Adaptation Through the Lens of Data Augmentation. ICLR Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon
2024	J	`jnl`	Sample-efficient Adversarial Imitation Learning. J. Mach. Learn. Res. Dahuin Jung, Hyungyu Lee, Sungroh Yoon
2024	J	`jnl`	Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation. CoRR Kukjin Choi, Jihun Yi, Jisoo Mok, Sungroh Yoon
2024	—	`conf`	Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP. EMNLP (Findings) Eunji Kim, Kyuhong Shim, Simyung Chang, Sungroh Yoon
2024	J	`jnl`	Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP. CoRR Eunji Kim, Kyuhong Shim, Simyung Chang, Sungroh Yoon
2024	J	`jnl`	Style-Friendly SNR Sampler for Style-Driven Generation. CoRR Jooyoung Choi, Chaehun Shin, Yeongtak Oh, Heeseung Kim, Sungroh Yoon
2024	J	`jnl`	Superpixel Tokenization for Vision Transformers: Preserving Semantic Integrity in Visual Tokens. CoRR Jaihyun Lew, Soohyuk Jang, Jaehoon Lee, Seungryong Yoo, Eunji Kim, Saehyung Lee, Jisoo Mok, Siwon Kim, Sungroh Yoon
2024	J	`jnl`	Textual Training for the Hassle-Free Removal of Unwanted Visual Data. CoRR Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon
2024	A*	`conf`	Textual Training for the Hassle-Free Removal of Unwanted Visual Data: Case Studies on OOD and Hateful Image Detection. NeurIPS Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon
2024	J	`jnl`	Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage. CoRR Saehyung Lee, Seunghyun Yoon, Trung Bui, Jing Shi, Sungroh Yoon
2024	J	`jnl`	Unified Speech-Text Pretraining for Spoken Dialog Modeling. CoRR Heeseung Kim, Soonshin Seo, Kyeongseok Jeong, Ohsung Kwon, Jungwhan Kim, Jaehong Lee, Eunwoo Song, Myungwoo Oh, Sungroh Yoon, Kang Min Yoo
2024	J	`jnl`	Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context. CoRR Sangwon Yu, Ik-hwan Kim, Jongyoon Song, Saehyung Lee, Junsung Park, Sungroh Yoon
2024	J	`jnl`	Unlocking Intrinsic Fairness in Stable Diffusion. CoRR Eunji Kim, Siwon Kim, Rahim Entezari, Sungroh Yoon
2024	A*	`conf`	Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization. NeurIPS Sanghyeob Song, Jaihyun Lew, Hyemi Jang, Sungroh Yoon
2024	J	`jnl`	Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization. CoRR Sanghyeob Song, Jaihyun Lew, Hyemi Jang, Sungroh Yoon
2024	J	`jnl`	VoiceGuider: Enhancing Out-of-Domain Performance in Parameter-Efficient Speaker-Adaptive Text-to-Speech via Autoguidance. CoRR Jiheum Yeom, Heeseung Kim, Jooyoung Choi, Che Hyun Lee, Nohil Park, Sungroh Yoon
2024	A	`conf`	VoiceTailor: Lightweight Plug-In Adapter for Diffusion-Based Personalized Text-to-Speech. INTERSPEECH Heeseung Kim, Sang-gil Lee, Jiheum Yeom, Che Hyun Lee, Sungwon Kim, Sungroh Yoon
2024	J	`jnl`	VoiceTailor: Lightweight Plug-In Adapter for Diffusion-Based Personalized Text-to-Speech. CoRR Heeseung Kim, Sang-gil Lee, Jiheum Yeom, Che Hyun Lee, Sungwon Kim, Sungroh Yoon
2023	J	`jnl`	1.5 million materials narratives generated by chatbots. CoRR Yang Jeong Park, Sung Eun Jerng, Jin-Sung Park, Choah Kwon, Chia-Wei Hsu, Zhichu Ren, Sungroh Yoon, Ju Li
2023	A*	`conf`	BigVGAN: A Universal Neural Vocoder with Large-Scale Training. ICLR Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon
2023	A*	`conf`	CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence. NeurIPS Bong Gyun Kang, HyunGi Kim, Dahuin Jung, Sungroh Yoon
2023	J	`jnl`	ControlDreamer: Stylized 3D Generation with Multi-View ControlNet. CoRR Yeongtak Oh, Jooyoung Choi, Yongsung Kim, Minjun Park, Chaehun Shin, Sungroh Yoon
2023	J	`jnl`	Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor. CoRR Sangwon Yu, Changmin Lee, Hojin Lee, Sungroh Yoon
2023	J	`jnl`	Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models. CoRR Jooyoung Choi, Yunjey Choi, Yunji Kim, Junho Kim, Sungroh Yoon
2023	J	`jnl`	Deep contrastive learning of molecular conformation for efficient property prediction. Nat. Comput. Sci. Yang Jeong Park, HyunGi Kim, Jeonghee Jo, Sungroh Yoon
2023	J	`jnl`	Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection. CoRR Daegyu Kim, Chaehun Shin, Jooyoung Choi, Dahuin Jung, Sungroh Yoon
2023	C	`conf`	Edit-A-Video: Single Video Editing with Object-Aware Consistency. ACML Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon
2023	J	`jnl`	Edit-A-Video: Single Video Editing with Object-Aware Consistency. CoRR Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon
2023	A*	`conf`	Improving Visual Prompt Tuning for Self-supervised Vision Transformers. ICML Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon
2023	J	`jnl`	Improving Visual Prompt Tuning for Self-supervised Vision Transformers. CoRR Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon
2023	—	`conf`	Large-scale Lifelong Learning of In-context Instructions and How to Tackle It. ACL (1) Jisoo Mok, Jaeyoung Do, Sungjin Lee, Tara Taghavi, Seunghak Yu, Sungroh Yoon
2023	A	`conf`	MG-MLP: Multi-gated MLP for Restoring Images from Spatially Variant Degradations. BMVC Jaihyun Koh, Jaihyun Lew, Jangho Lee, Sungroh Yoon
2023	J	`jnl`	Mass Spectra Prediction with Structural Motif-based Graph Neural Networks. CoRR Jiwon Park, Jeonghee Jo, Sungroh Yoon
2023	—	`conf`	Model Intrinsic Features of Fine-tuning based Text Summarization Models for Factual Consistency. ACL (Findings) Jongyoon Song, Nohil Park, Bongkyu Hwang, Jaewoong Yun, Seongho Joe, Youngjune Gwon, Sungroh Yoon
2023	A*	`conf`	New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. ICLR Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon
2023	J	`jnl`	New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. CoRR Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon
2023	J	`jnl`	On the Analysis of Cross-Lingual Prompt Tuning for Decoder-based Multilingual Model. CoRR Nohil Park, Joonsuk Park, Kang Min Yoo, Sungroh Yoon
2023	A*	`conf`	On the Impact of Knowledge Distillation for Model Interpretability. ICML Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon
2023	J	`jnl`	On the Impact of Knowledge Distillation for Model Interpretability. CoRR Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon
2023	A*	`conf`	On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. NeurIPS Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
2023	J	`jnl`	On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. CoRR Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon
2023	A*	`conf`	P-Flow: A Fast and Data-Efficient Zero-Shot TTS through Speech Prompting. NeurIPS Sungwon Kim, Kevin J. Shih, Rohan Badlani, João Felipe Santos, Evelina Bakhturina, Mikyas T. Desta, Rafael Valle, Sungroh Yoon, Bryan Catanzaro
2023	A*	`conf`	PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising. NeurIPS Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
2023	J	`jnl`	PUCA: Patch-Unshuffle and Channel Attention for Enhanced Self-Supervised Image Denoising. CoRR Hyemi Jang, Junsung Park, Dahuin Jung, Jaihyun Lew, Ho Bae, Sungroh Yoon
2023	J	`jnl`	PixelSteganalysis: Pixel-Wise Hidden Information Removal With Low Visual Degradation. IEEE Trans. Dependable Secur. Comput. Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon
2023	A*	`conf`	ProPILE: Probing Privacy Leakage in Large Language Models. NeurIPS Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
2023	J	`jnl`	ProPILE: Probing Privacy Leakage in Large Language Models. CoRR Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh
2023	A*	`conf`	Probabilistic Concept Bottleneck Models. ICML Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon
2023	J	`jnl`	Probabilistic Concept Bottleneck Models. CoRR Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon
2023	J	`jnl`	Real-world prediction of preclinical Alzheimer's disease with a deep generative model. Artif. Intell. Medicine Uiwon Hwang, Sung-Woo Kim, Dahuin Jung, Seung Wook Kim, Hyejoo Lee, Sang Won Seo, Joon-Kyung Seong, Sungroh Yoon
2023	J	`jnl`	Robust End-to-End Focal Liver Lesion Detection Using Unregistered Multiphase Computed Tomography Images. IEEE Trans. Emerg. Top. Comput. Intell. Sang-gil Lee, Eunji Kim, Jae Seok Bae, Jung Hoon Kim, Sungroh Yoon
2023	J	`jnl`	Sample-efficient Adversarial Imitation Learning. CoRR Dahuin Jung, Hyungyu Lee, Sungroh Yoon
2023	A	`conf`	UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data. INTERSPEECH Heeseung Kim, Sungwon Kim, Jiheum Yeom, Sungroh Yoon
2023	J	`jnl`	UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data. CoRR Heeseung Kim, Sungwon Kim, Jiheum Yeom, Sungroh Yoon
2022	J	`jnl`	Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization. CoRR Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon
2022	A*	`conf`	AutoSNN: Towards Energy-Efficient Spiking Neural Networks. ICML Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon
2022	J	`jnl`	AutoSNN: Towards Energy-Efficient Spiking Neural Networks. CoRR Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon
2022	A*	`conf`	BNUDC: A Two-Branched Deep Neural Network for Restoring Images from Under-Display Cameras. CVPR Jaihyun Koh, Jangho Lee, Sungroh Yoon
2022	J	`jnl`	BigVGAN: A Universal Neural Vocoder with Large-Scale Training. CoRR Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon
2022	J	`jnl`	Brain-inspired Predictive Coding Improves the Performance of Machine Challenging Tasks. Frontiers Comput. Neurosci. Jangho Lee, Jeonghee Jo, Byounghwa Lee, Jung-Hoon Lee, Sungroh Yoon
2022	A*	`conf`	Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization. CVPR Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon
2022	J	`jnl`	Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization. CoRR Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon
2022	A*	`conf`	Confidence Score for Source-Free Unsupervised Domain Adaptation. ICML Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon
2022	J	`jnl`	Confidence Score for Source-Free Unsupervised Domain Adaptation. CoRR Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon
2022	J	`jnl`	DNA Privacy: Analyzing Malicious DNA Sequences Using Deep Neural Networks. IEEE ACM Trans. Comput. Biol. Bioinform. Ho Bae, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
2022	J	`jnl`	Data Embedding Scheme for Efficient Program Behavior Modeling With Neural Networks. IEEE Trans. Emerg. Top. Comput. Intell. Sunwoo Ahn, Hayoon Yi, Ho Bae, Sungroh Yoon, Yunheung Paek
2022	A*	`conf`	Dataset Condensation with Contrastive Signals. ICML Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon
2022	J	`jnl`	Dataset Condensation with Contrastive Signals. CoRR Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon
2022	A*	`conf`	Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? CVPR Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon
2022	J	`jnl`	Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? CoRR Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon
2022	B	`conf`	FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks. ICPP Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon
2022	J	`jnl`	FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks. CoRR Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon
2022	J	`jnl`	Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data. CoRR Sungwon Kim, Heeseung Kim, Sungroh Yoon
2022	A*	`conf`	Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance. ICML Heeseung Kim, Sungwon Kim, Sungroh Yoon
2022	J	`jnl`	Imbalanced Data Classification via Cooperative Interaction Between Classifier and Generator. IEEE Trans. Neural Networks Learn. Syst. Hyun-Soo Choi, Dahuin Jung, Siwon Kim, Sungroh Yoon
2022	A	`conf`	Membership Feature Disentanglement Network. AsiaCCS Heonseok Ha, Jaehee Jang, Yonghyun Jeong, Sungroh Yoon
2022	A	`conf`	Membership Privacy-Preserving GAN. BMVC Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon
2022	J	`jnl`	Out of Sight, Out of Mind: A Source-View-Wise Feature Aggregation for Multi-View Image-Based Rendering. CoRR Geonho Cha, Chaehun Shin, Sungroh Yoon, Dongyoon Wee
2022	A*	`conf`	Perception Prioritized Training of Diffusion Models. CVPR Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon
2022	J	`jnl`	Perception Prioritized Training of Diffusion Models. CoRR Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon
2022	—	`conf`	Prediction of Mortality and Intervention in COVID-19 Patients Using Generative Adversarial Networks. Healthcare AI and COVID-19 Workshop Uiwon Hwang, Euideuk Hwang, Minsoo Kang, Sungroh Yoon
2022	A*	`conf`	PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior. ICLR Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu
2022	A	`conf`	Privacy-Preserving Deep Sequential Model with Matrix Homomorphic Encryption. AsiaCCS Jaehee Jang, Younho Lee, Andrey Kim, Byunggook Na, Donggeon Yhee, Byounghan Lee, Jung Hee Cheon, Sungroh Yoon
2022	—	`conf`	Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings. ACL (1) Sangwon Yu, Jongyoon Song, Heeseung Kim, Seongmin Lee, Woo-Jong Ryu, Sungroh Yoon
2022	A*	`conf`	Stein Latent Optimization for Generative Adversarial Networks. ICLR Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon
2022	J	`jnl`	TargetNet: functional microRNA target prediction with deep neural networks. Bioinform. Seonwoo Min, Byunghan Lee, Sungroh Yoon
2022	A*	`conf`	Towards a Rigorous Evaluation of Time-Series Anomaly Detection. AAAI Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon
2022	A*	`conf`	Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CVPR Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
2022	J	`jnl`	Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CoRR Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon
2021	A*	`conf`	Accelerating Neural Architecture Search via Proxy Data. IJCAI Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon
2021	J	`jnl`	Accelerating Neural Architecture Search via Proxy Data. CoRR Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon
2021	A*	`conf`	AdvRush: Searching for Adversarially Robust Neural Architectures. ICCV Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon
2021	J	`jnl`	AdvRush: Searching for Adversarially Robust Neural Architectures. CoRR Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon
2021	—	`conf`	AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate. EMNLP (1) Jongyoon Song, Sungwon Kim, Sungroh Yoon
2021	J	`jnl`	AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate. CoRR Jongyoon Song, Sungwon Kim, Sungroh Yoon
2021	A*	`conf`	Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation. CVPR Jungbeom Lee, Eunji Kim, Sungroh Yoon
2021	J	`jnl`	Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation. CoRR Jungbeom Lee, Eunji Kim, Sungroh Yoon
2021	A*	`conf`	BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation. CVPR Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon
2021	J	`jnl`	BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation. CoRR Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon
2021	J	`jnl`	Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines. IEEE Access Kukjin Choi, Jihun Yi, Changhwa Park, Sungroh Yoon
2021	J	`jnl`	FICGAN: Facial Identity Controllable GAN for De-identification. CoRR Yonghyun Jeong, Jooyoung Choi, Sungwon Kim, Youngmin Ro, Tae-Hyun Oh, Doyeon Kim, Heonseok Ha, Sungroh Yoon
2021	J	`jnl`	Feature Concentration for Supervised and Semisupervised Learning With Unbalanced Datasets in Visual Inspection. IEEE Trans. Ind. Electron. Jiyong Jang, Sungroh Yoon
2021	J	`jnl`	Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation. CoRR Jeonghee Jo, Bumju Kwak, Byunghan Lee, Sungroh Yoon
2021	J	`jnl`	Geometry-aware Transformer for molecular property prediction. CoRR Bumju Kwak, Jeonghee Jo, Byunghan Lee, Sungroh Yoon
2021	J	`jnl`	Gradient Masking of Label Smoothing in Adversarial Robustness. IEEE Access Hyungyu Lee, Ho Bae, Sungroh Yoon
2021	J	`jnl`	Guided-TTS: Text-to-Speech with Untranscribed Speech. CoRR Heeseung Kim, Sungwon Kim, Sungroh Yoon
2021	A*	`conf`	ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models. ICCV Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon
2021	J	`jnl`	ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models. CoRR Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon
2021	J	`jnl`	Learn2Evade: Learning-Based Generative Model for Evading PDF Malware Classifiers. IEEE Trans. Artif. Intell. Ho Bae, Younghan Lee, Yohan Kim, Uiwon Hwang, Sungroh Yoon, Yunheung Paek
2021	J	`jnl`	MUGAN: multi-GPU accelerated AmpliconNoise server for rapid microbial diversity assessment. Bioinform. Byunghan Lee, Hyeyoung Min, Sungroh Yoon
2021	J	`jnl`	Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering. IEEE Trans. Very Large Scale Integr. Syst. Seongsik Park, Jaehee Jang, Sei Joon Kim, Byunggook Na, Sungroh Yoon
2021	J	`jnl`	NASCUP: Nucleic Acid Sequence Classification by Universal Probability. IEEE Access Sunyoung Kwon, Gyuwan Kim, Byunghan Lee, Jongsik Chun, Sungroh Yoon, Young-Han Kim
2021	A*	`conf`	Noise-Robust Deep Spiking Neural Networks with Temporal Information. DAC Seongsik Park, Dongjin Lee, Sungroh Yoon
2021	J	`jnl`	Noise-Robust Deep Spiking Neural Networks with Temporal Information. CoRR Seongsik Park, Dongjin Lee, Sungroh Yoon
2021	B	`conf`	Personalized Face Authentication Based On Few-Shot Meta-Learning. ICIP Chaehun Shin, Jangho Lee, Byunggook Na, Sungroh Yoon
2021	J	`jnl`	Pre-Training of Deep Bidirectional Protein Sequence Representations With Structural Information. IEEE Access Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon
2021	J	`jnl`	PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior. CoRR Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu
2021	J	`jnl`	Rare Words Degenerate All Words. CoRR Sangwon Yu, Jongyoon Song, Heeseung Kim, Seongmin Lee, Woo-Jong Ryu, Sungroh Yoon
2021	A*	`conf`	Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation. NeurIPS Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon
2021	J	`jnl`	Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation. CoRR Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon
2021	A*	`conf`	Removing Undesirable Feature Contributions Using Out-of-Distribution Data. ICLR Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon
2021	J	`jnl`	Removing Undesirable Feature Contributions Using Out-of-Distribution Data. CoRR Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon
2021	J	`jnl`	Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images. CoRR Sang-gil Lee, Eunji Kim, Jae Seok Bae, Jung Hoon Kim, Sungroh Yoon
2021	J	`jnl`	Scalable Smartphone Cluster for Deep Learning. CoRR Byunggook Na, Jaehee Jang, Seongsik Park, Sei Joon Kim, Joonoo Kim, Moon-Sik Jeong, Kwang-Choon Kim, Seon Heo, Yoonsang Kim, Sungroh Yoon
2021	J	`jnl`	Single-image deblurring with neural networks: A comparative survey. Comput. Vis. Image Underst. Jaihyun Koh, Jangho Lee, Sungroh Yoon
2021	J	`jnl`	Stein Latent Optimization for GANs. CoRR Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon
2021	J	`jnl`	Supervised Neural Discrete Universal Denoiser for Adaptive Denoising. CoRR Sungmin Cha, Seonwoo Min, Sungroh Yoon, Taesup Moon
2021	J	`jnl`	TargetNet: Functional microRNA Target Prediction with Deep Neural Networks. CoRR Seonwoo Min, Byunghan Lee, Sungroh Yoon
2021	A*	`conf`	Toward Spatially Unbiased Generative Models. ICCV Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon
2021	J	`jnl`	Toward Spatially Unbiased Generative Models. CoRR Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon
2021	J	`jnl`	Towards Fast and Accurate Object Detection in Bio-Inspired Spiking Neural Networks Through Bayesian Optimization. IEEE Access Sei Joon Kim, Seongsik Park, Byunggook Na, Jongwan Kim, Sungroh Yoon
2021	—	`conf`	Towards High Generalization Performance on Electrocardiogram Classification. CinC Hyeongrok Han, Seongjae Park, Seonwoo Min, Hyun-Soo Choi, Eunji Kim, Hyunki Kim, Sangha Park, Jinkook Kim, Junsang Park, Junho An, Kwanglo Lee, Wonsun Jeong, Sangil Chon, Kwonwoo Ha, Myungkyu Han, Sungroh Yoon
2021	J	`jnl`	Towards a Rigorous Evaluation of Time-series Anomaly Detection. CoRR Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon
2021	J	`jnl`	Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding. CoRR Seongsik Park, Sungroh Yoon
2021	A	`conf`	Variance-stationary Differentiable NAS. BMVC Hyeokjun Choe, Byunggook Na, Jisoo Mok, Sungroh Yoon
2021	A*	`conf`	XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations. CVPR Eunji Kim, Siwon Kim, Minji Seo, Sungroh Yoon
2021	J	`jnl`	XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations. CoRR Eunji Kim, Siwon Kim, Minji Seo, Sungroh Yoon
2020	A*	`conf`	Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization. CVPR Saehyung Lee, Hyungyu Lee, Sungroh Yoon
2020	J	`jnl`	Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization. CoRR Saehyung Lee, Hyungyu Lee, Sungroh Yoon
2020	J	`jnl`	Anomaly Detection by Learning Dynamics From a Graph. IEEE Access Jaekoo Lee, Ho Bae, Sungroh Yoon
2020	Misc	`conf`	AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data. PSB Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon
2020	—	`conf`	Bag of Tricks for Electrocardiogram Classification With Deep Neural Networks. CinC Seonwoo Min, Hyun-Soo Choi, Hyeongrok Han, Minji Seo, Jin-Kook Kim, Junsang Park, Sunghoon Jung, Il-Young Oh, Byunghan Lee, Sungroh Yoon
2020	—	`conf`	Blood Pressure Prediction by a Smartphone Sensor using Fully Convolutional Networks. EMBC Sanghyun Baek, Jiyong Jang, Sung-Hwan Cho, Jong Min Choi, Sungroh Yoon
2020	A	`conf`	Energy-aware Placement for SRAM-NVM Hybrid FPGAs. DATE Seongsik Park, Jongwan Kim, Sungroh Yoon
2020	A*	`conf`	Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search. NeurIPS Jaehyeon Kim, Sungwon Kim, Jungil Kong, Sungroh Yoon
2020	J	`jnl`	Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search. CoRR Jaehyeon Kim, Sungwon Kim, Jungil Kong, Sungroh Yoon
2020	J	`jnl`	Information-Theoretic Visual Explanation for Black-Box Classifiers. CoRR Jihun Yi, Eunji Kim, Siwon Kim, Sungroh Yoon
2020	—	`conf`	Interpretation of NLP models through input marginalization. EMNLP (1) Siwon Kim, Jihun Yi, Eunji Kim, Sungroh Yoon
2020	J	`jnl`	Interpretation of NLP models through input marginalization. CoRR Siwon Kim, Jihun Yi, Eunji Kim, Sungroh Yoon
2020	J	`jnl`	Joint Contrastive Learning for Unsupervised Domain Adaptation. CoRR Changhwa Park, Jonghyun Lee, Jaeyoon Yoo, Minhoe Hur, Sungroh Yoon
2020	J	`jnl`	Momentum Contrast Speaker Representation Learning. CoRR Jangho Lee, Jaihyun Koh, Sungroh Yoon
2020	A*	`conf`	NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity. NeurIPS Sang-gil Lee, Sungwon Kim, Sungroh Yoon
2020	J	`jnl`	NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity. CoRR Sang-gil Lee, Sungwon Kim, Sungroh Yoon
2020	—	`conf`	Patch SVDD: Patch-Level SVDD for Anomaly Detection and Segmentation. ACCV (6) Jihun Yi, Sungroh Yoon
2020	J	`jnl`	Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation. CoRR Jihun Yi, Sungroh Yoon
2020	A*	`conf`	Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection. AAAI Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon
2020	A*	`conf`	T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. DAC Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon
2020	J	`jnl`	T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. CoRR Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon
2020	—	`conf`	iCaps: An Interpretable Classifier via Disentangled Capsule Networks. ECCV (19) Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon
2020	J	`jnl`	iCaps: An Interpretable Classifier via Disentangled Capsule Networks. CoRR Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon
2019	J	`jnl`	AnomiGAN: Generative adversarial networks for anonymizing private medical data. CoRR Ho Bae, Dahuin Jung, Sungroh Yoon
2019	J	`jnl`	Comprehensive ensemble in QSAR prediction for drug discovery. BMC Bioinform. Sunyoung Kwon, Ho Bae, Jeonghee Jo, Sungroh Yoon
2019	Misc	`conf`	DNA Steganalysis Using Deep Recurrent Neural Networks. PSB Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon
2019	J	`jnl`	End-to-End Blood Pressure Prediction via Fully Convolutional Networks. IEEE Access Sanghyun Baek, Jiyong Jang, Sungroh Yoon
2019	J	`jnl`	End-to-End Representation Learning for Chemical-Chemical Interaction Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. Sunyoung Kwon, Sungroh Yoon
2019	A	`conf`	Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA. DATE Seongsik Park, Jaehee Jang, Sei Joon Kim, Sungroh Yoon
2019	A*	`conf`	Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks. DAC Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Sungroh Yoon
2019	A*	`conf`	FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference. CVPR Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon
2019	J	`jnl`	FickleNet: Weakly and Semi-supervised Semantic Image Segmentation\\using Stochastic Inference. CoRR Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon
2019	A*	`conf`	FloWaveNet : A Generative Flow for Raw Audio. ICML Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon
2019	A*	`conf`	Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation. ICCV Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon
2019	J	`jnl`	Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation. CoRR Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon
2019	A*	`conf`	HexaGAN: Generative Adversarial Nets for Real World Classification. ICML Uiwon Hwang, Dahuin Jung, Sungroh Yoon
2019	J	`jnl`	HexaGAN: Generative Adversarial Nets for Real World Classification. CoRR Uiwon Hwang, Dahuin Jung, Sungroh Yoon
2019	J	`jnl`	How Generative Adversarial Networks and Their Variants Work: An Overview. ACM Comput. Surv. Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon
2019	J	`jnl`	Learning Condensed and Aligned Features for Unsupervised Domain Adaptation Using Label Propagation. CoRR Jaeyoon Yoo, Changhwa Park, Yongjun Hong, Sungroh Yoon
2019	J	`jnl`	Learning-Based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography. IEEE Access Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Ho Bae, Jee Eun Yoon, Inha Hwang, Dana Oh, Chang-Ho Yun, Sungroh Yoon
2019	A	`conf`	Mutual Suppression Network for Video Prediction using Disentangled Features. BMVC Jungbeom Lee, Jangho Lee, Sungmin Lee, Sungroh Yoon
2019	J	`jnl`	One-Shot Learning for Text-to-SQL Generation. CoRR Dongjun Lee, Jaesik Yoon, Jongyun Song, Sang-gil Lee, Sungroh Yoon
2019	J	`jnl`	Pediatric Sleep Stage Classification Using Multi-Domain Hybrid Neural Networks. IEEE Access Yonghoon Jeon, Siwon Kim, Hyun-Soo Choi, Yoon Gi Chung, Sun Ah Choi, Hunmin Kim, Sungroh Yoon, Hee Hwang, Ki Joong Kim
2019	J	`jnl`	PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation. CoRR Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon
2019	J	`jnl`	Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information. CoRR Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon
2019	—	`conf`	Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data. BIBM Jeonghee Jo, Hyun-Soo Choi, Sungroh Yoon
2019	J	`jnl`	PuVAE: A Variational Autoencoder to Purify Adversarial Examples. IEEE Access Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho
2019	J	`jnl`	PuVAE: A Variational Autoencoder to Purify Adversarial Examples. CoRR Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho
2019	A	`conf`	Real-Time Anomalous Branch Behavior Inference with a GPU-inspired Engine for Machine Learning Models. DATE Hyunyoung Oh, Hayoon Yi, Hyeokjun Choe, Yeongpil Cho, Sungroh Yoon, Yunheung Paek
2019	J	`jnl`	Spiking-YOLO: Spiking Neural Network for Real-time Object Detection. CoRR Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon
2018	Misc	`conf`	Breast cancer recurrence data preparation and prediction algorithm development. AMIA Borim Ryu, Sungwoon Choi, Sehyun Kim, Sooyoung Yoo, Sungroh Yoon, Jeong-Whun Kim
2018	J	`jnl`	CloudSocket: Fine-Grained Power Sensing System for Datacenters. IEEE Access Seil Lee, Hanjoo Kim, Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Sungroh Yoon
2018	J	`jnl`	Correction to: HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment. BMC Bioinform. Taehoon Lee, Sungmin Lee, Woo Young Sim, Yu Mi Jung, Sunmi Han, Joong-Ho Won, Hyeyoung Min, Sungroh Yoon
2018	—	`conf`	Customization of IBM Intu's Voice by Connecting Text-to-Speech Services and a Voice Conversion Network. HICSS Jongyoon Song, Hyunjae Kim, Jaekoo Lee, Euishin Choi, Minseok Kim, Sungroh Yoon
2018	J	`jnl`	Deep Learning on Key Performance Indicators for Predictive Maintenance in SAP HANA. CoRR Jaekoo Lee, Byunghan Lee, Jongyoon Song, Jaesik Yoon, Yongsik Lee, Donghun Lee, Sungroh Yoon
2018	C	`conf`	Detecting System Anomalies in Multivariate Time Series with Information Transfer and Random Walk. BDCAT Jongsun Lee, Hyun-Soo Choi, Yongkweon Jeon, Yongsik Kwon, Donghun Lee, Sungroh Yoon
2018	J	`jnl`	Extended Abstract: Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models. CoRR Hayoon Yi, Gyuwan Kim, Jangho Lee, Sunwoo Ahn, Younghan Lee, Sungroh Yoon, Yunheung Paek
2018	J	`jnl`	Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks. CoRR Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Sungroh Yoon
2018	J	`jnl`	FloWaveNet : A Generative Flow for Raw Audio. CoRR Sungwon Kim, Sang-gil Lee, Jongyoon Song, Sungroh Yoon
2018	J	`jnl`	HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment. BMC Bioinform. Taehoon Lee, Sungmin Lee, Woo Young Sim, Yu Mi Jung, Sunmi Han, Joong-Ho Won, Hyeyoung Min, Sungroh Yoon
2018	J	`jnl`	Intelligent Knowledge Tracing: More Like a Real Learning Process of a Student. CoRR Heonseok Ha, Yongjun Hong, Uiwon Hwang, Sungroh Yoon
2018	—	`conf`	Liver Lesion Detection from Weakly-Labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector. MICCAI (2) Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon
2018	J	`jnl`	Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector. CoRR Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon
2018	J	`jnl`	LncRNAnet: long non-coding RNA identification using deep learning. Bioinform. Junghwan Baek, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon
2018	J	`jnl`	MSnet: Mutual Suppression Network for Disentangled Video Representations. CoRR Jungbeom Lee, Jangho Lee, Sungmin Lee, Sungroh Yoon
2018	A*	`conf`	Quantized Memory-Augmented Neural Networks. AAAI Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon
2018	J	`jnl`	Reinforcement Learning based Recommender System using Biclustering Technique. CoRR Sungwoon Choi, Heonseok Ha, Uiwon Hwang, Chanju Kim, Jung-Woo Ha, Sungroh Yoon
2018	J	`jnl`	Robust Tumor Localization with Pyramid Grad-CAM. CoRR Sungmin Lee, Jangho Lee, Jungbeom Lee, Chul-Kee Park, Sungroh Yoon
2018	J	`jnl`	Security and Privacy Issues in Deep Learning. CoRR Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon
2018	J	`jnl`	Streaming MANN: A Streaming-Based Inference for Energy-Efficient Memory-Augmented Neural Networks. CoRR Seongsik Park, Jaehee Jang, Sei Joon Kim, Sungroh Yoon
2018	J	`jnl`	TensorLightning: A Traffic-Efficient Distributed Deep Learning on Commodity Spark Clusters. IEEE Access Seil Lee, Hanjoo Kim, Jaehong Park, Jaehee Jang, Chang-Sung Jeong, Sungroh Yoon
2018	—	`conf`	XGBoost-Based Instantaneous Drowsiness Detection Framework Using Multitaper Spectral Information of Electroencephalography. BCB Hyun-Soo Choi, Siwon Kim, Jung Eun Oh, Jee Eun Yoon, Jung Ah Park, Chang-Ho Yun, Sungroh Yoon
2018	J	`jnl`	hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units Based on Homopolymer Compaction. IEEE ACM Trans. Comput. Biol. Bioinform. Seunghyun Park, Hyun-Soo Choi, Byunghan Lee, Jongsik Chun, Joong-Ho Won, Sungroh Yoon
2017	J	`jnl`	A SeqGAN for Polyphonic Music Generation. CoRR Sang-gil Lee, Uiwon Hwang, Seonwoo Min, Sungroh Yoon
2017	J	`jnl`	An effective pre-store/pre-load method exploiting intra-request idle time of NAND flash-based storage devices. Microprocess. Microsystems Jin-Young Kim, Tae-Hee You, Hyeokjun Seo, Sungroh Yoon, Jean-Luc Gaudiot, Eui-Young Chung
2017	J	`jnl`	Autonomous UAV Navigation with Domain Adaptation. CoRR Jaeyoon Yoo, Yongjun Hong, Sungroh Yoon
2017	J	`jnl`	Building a Neural Machine Translation System Using Only Synthetic Parallel Data. CoRR Jaehong Park, Jongyoon Song, Sungroh Yoon
2017	J	`jnl`	DNA Steganalysis Using Deep Recurrent Neural Networks. CoRR Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon
2017	—	`conf`	Deep Recurrent Neural Network-Based Identification of Precursor microRNAs. NIPS Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
2017	J	`jnl`	Deep learning in bioinformatics. Briefings Bioinform. Seonwoo Min, Byunghan Lee, Sungroh Yoon
2017	—	`conf`	DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction. BCB Sunyoung Kwon, Sungroh Yoon
2017	J	`jnl`	DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction. CoRR Sunyoung Kwon, Sungroh Yoon
2017	J	`jnl`	Disease Prediction from Electronic Health Records Using Generative Adversarial Networks. CoRR Uiwon Hwang, Sungwoon Choi, Sungroh Yoon
2017	J	`jnl`	Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning. CoRR Jaeyoon Yoo, Heonseok Ha, Jihun Yi, Jongha Ryu, Chanju Kim, Jung-Woo Ha, Young-Han Kim, Sungroh Yoon
2017	J	`jnl`	Homomorphic Parameter Compression for Distributed Deep Learning Training. CoRR Jaehee Jang, Byunggook Na, Sungroh Yoon
2017	J	`jnl`	How Generative Adversarial Nets and its variants Work: An Overview of GAN. CoRR Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon
2017	J	`jnl`	NC-Link: A New Linkage Method for Efficient Hierarchical Clustering of Large-Scale Data. IEEE Access Yongkweon Jeon, Jaeyoon Yoo, Jongsun Lee, Sungroh Yoon
2017	J	`jnl`	Quantized Memory-Augmented Neural Networks. CoRR Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon
2017	—	`conf`	Training IBM Watson Using Automatically Generated Question-Answer Pairs. HICSS Jangho Lee, Gyuwan Kim, Jaeyoon Yoo, Changwoo Jung, Minseok Kim, Sungroh Yoon
2017	A*	`conf`	Transfer Learning for Deep Learning on Graph-Structured Data. AAAI Jaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon
2016	J	`jnl`	An Efficient Approach to Boosting Performance of Deep Spiking Network Training. CoRR Seongsik Park, Sang-gil Lee, Hyunha Nam, Sungroh Yoon
2016	J	`jnl`	Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors. IEEE Access Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon
2016	C	`conf`	CloudSocket: Smart grid platform for datacenters. ICCD Seil Lee, Hanjoo Kim, Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Chang-Sung Jeong, Sungroh Yoon
2016	A*	`conf`	Collaborative analytics for data silos. ICDE Jinkyu Kim, Heonseok Ha, Byung-Gon Chun, Sungroh Yoon, Sang K. Cha
2016	J	`jnl`	Deep Learning in Bioinformatics. CoRR Seonwoo Min, Byunghan Lee, Sungroh Yoon
2016	J	`jnl`	DeepSpark: Spark-Based Deep Learning Supporting Asynchronous Updates and Caffe Compatibility. CoRR Hanjoo Kim, Jaehong Park, Jaehee Jang, Sungroh Yoon
2016	J	`jnl`	Exploiting Compression-Induced Internal Fragmentation for Power-Off Recovery in SSD. IEEE Trans. Computers Dongwook Kim, Youjip Won, Jaehyuk Cha, Sungroh Yoon, Jongmoo Choi, Sooyong Kang
2016	J	`jnl`	Intrinsic Geometric Information Transfer Learning on Multiple Graph-Structured Datasets. CoRR Jaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon
2016	J	`jnl`	LSTM-Based System-Call Language Modeling and Robust Ensemble Method for Designing Host-Based Intrusion Detection Systems. CoRR Gyuwan Kim, Hayoon Yi, Jangho Lee, Yunheung Paek, Sungroh Yoon
2016	—	`conf`	Mining internet media for monitoring changes of public emotions about infectious diseases. ICDE Workshops Sungwoon Choi, Jangho Lee, Sangheon Pack, Yoon-Seok Chang, Sungroh Yoon
2016	J	`jnl`	NAND Flash Memory With Multiple Page Sizes for High-Performance Storage Devices. IEEE Trans. Very Large Scale Integr. Syst. Jinyoung Kim, Sang-Hoon Park, Hyeokjun Seo, Ki-Whan Song, Sungroh Yoon, Eui-Young Chung
2016	J	`jnl`	Near-Data Processing for Machine Learning. CoRR Hyeokjun Choe, Seil Lee, Seongsik Park, Sei Joon Kim, Eui-Young Chung, Sungroh Yoon
2016	—	`conf`	Neural Universal Discrete Denoiser. NIPS Taesup Moon, Seonwoo Min, Byunghan Lee, Sungroh Yoon
2016	J	`jnl`	Regularization and Kernelization of the Maximin Correlation Approach. IEEE Access Taehoon Lee, Taesup Moon, Seung Jean Kim, Sungroh Yoon
2016	J	`jnl`	Training IBM Watson using Automatically Generated Question-Answer Pairs. CoRR Jangho Lee, Gyuwan Kim, Jaeyoon Yoo, Changwoo Jung, Minseok Kim, Sungroh Yoon
2016	J	`jnl`	Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis and beyond. Briefings Bioinform. Sungmin Lee, Hyeyoung Min, Sungroh Yoon
2016	J	`jnl`	deepMiRGene: Deep Neural Network based Precursor microRNA Prediction. CoRR Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon
2016	—	`conf`	deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks. BCB Byunghan Lee, Junghwan Baek, Seunghyun Park, Sungroh Yoon
2016	J	`jnl`	deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks. CoRR Byunghan Lee, Junghwan Baek, Seunghyun Park, Sungroh Yoon
2015	J	`jnl`	A High-Performance Solid-State Disk with Double-Data-Rate NAND Flash Memory. CoRR Eui-Young Chung, Chang-Il Son, Kwanhu Bang, Dong Kim, Soong-Mann Shin, Sungroh Yoon
2015	J	`jnl`	Automated band annotation for RNA structure probing experiments with numerous capillary electrophoresis profiles. Bioinform. Seungmyung Lee, Hanjoo Kim, Siqi Tian, Taehoon Lee, Sungroh Yoon, Rhiju Das
2015	Misc	`conf`	Big/little deep neural network for ultra low power inference. CODES+ISSS Eunhyeok Park, Dongyoung Kim, Soobeom Kim, Yong-Deok Kim, Gunhee Kim, Sungroh Yoon, Sungjoo Yoo
2015	A*	`conf`	Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions. ICML Taehoon Lee, Sungroh Yoon
2015	—	`conf`	Computational prediction of competitive endogenous RNA. BioCAS Seunghyun Park, Soowon Kang, Hyeyoung Min, Sungroh Yoon
2015	J	`jnl`	DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks. CoRR Byunghan Lee, Taehoon Lee, Byunggook Na, Sungroh Yoon
2015	J	`jnl`	DUDE-Seq: Fast Universal Denoising of Nucleotide Sequences. CoRR Byunghan Lee, Taesup Moon, Sungroh Yoon, Tsachy Weissman
2015	J	`jnl`	Design Tradeoffs of SSDs: From Energy Consumption's Perspective. ACM Trans. Storage Seokhei Cho, Changhyun Park, Youjip Won, Sooyong Kang, Jaehyuk Cha, Sungroh Yoon, Jongmoo Choi
2015	J	`jnl`	FRAME: Fast and Realistic Attacker Modeling and Evaluation for Temporal Logical Correlation in Static Noise. CoRR Sungroh Yoon, Nahmsuk Oh, Peivand F. Tehrani, Eui-Young Chung, Giovanni De Micheli
2015	—	`conf`	FingerNet: Deep learning-based robust finger joint detection from radiographs. BioCAS Sungmin Lee, Minsuk Choi, Hyun-Soo Choi, Moon Seok Park, Sungroh Yoon
2015	J	`jnl`	Manifold Regularized Deep Neural Networks using Adversarial Examples. CoRR Taehoon Lee, Minsuk Choi, Sungroh Yoon
2015	A*	`conf`	Measuring Large-Scale Dynamic Graph Similarity by RICom: RWR with Intergraph Compression. ICDM Jaekoo Lee, Gunn Kim, Sungroh Yoon
2015	J	`jnl`	Multi-Threaded Hierarchical Clustering by Parallel Nearest-Neighbor Chaining. IEEE Trans. Parallel Distributed Syst. Yongkweon Jeon, Sungroh Yoon
2015	J	`jnl`	NASCUP: Nucleic Acid Sequence Classification by Universal Probability. CoRR Sunyoung Kwon, Gyuwan Kim, Byunghan Lee, Sungroh Yoon, Young-Han Kim
2015	J	`jnl`	Regularization and Kernelization of the Maximin Correlation Approach. CoRR Taehoon Lee, Taesup Moon, Seung Jean Kim, Sungroh Yoon
2015	—	`conf`	Wearable and wireless measurement system for evaluating penile tumescence. BioCAS Sungwoon Choi, Sei Joon Kim, Jongmo Seo, Jae Young Park, Sungroh Yoon
2015	J	`jnl`	Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis, and beyond. CoRR Sungmin Lee, Byunghan Lee, Sei Joon Kim, Sunyoung Kwon, Sungroh Yoon
2014	C	`conf`	Analytical model of SSD parallelism. SIMULTECH Jinsoo Yoo, Youjip Won, Sooyong Kang, Jongmoo Choi, Sungroh Yoon, Jaehyuk Cha
2014	J	`jnl`	CASPER: context-aware scheme for paired-end reads from high-throughput amplicon sequencing. BMC Bioinform. Sunyoung Kwon, Byunghan Lee, Sungroh Yoon
2014	J	`jnl`	Design of a bitmap-based QoS-aware memory controller for a packet memory. IEICE Electron. Express Seunghak Yu, Sungroh Yoon, Eui-Young Chung, Hyuk-Jun Lee
2014	—	`conf`	Ensemble algorithms for DNA motif finding. ICEIC Juho Kim, Seunghak Yu, Sungroh Yoon
2014	—	`conf`	Ensemble learning for robust prediction of microRNA-mRNA interactions. BigComp Seunghak Yu, Juho Kim, Hyeyoung Min, Sungroh Yoon
2014	J	`jnl`	IO Workload Characterization Revisited: A Data-Mining Approach. IEEE Trans. Computers Bumjoon Seo, Sooyong Kang, Jongmoo Choi, Jaehyuk Cha, Youjip Won, Sungroh Yoon
2013	J	`jnl`	GPU-based acceleration of an RNA tertiary structure prediction algorithm. Comput. Biol. Medicine Yongkweon Jeon, Eesuk Jung, Hyeyoung Min, Eui-Young Chung, Sungroh Yoon
2013	J	`jnl`	HiTRACE-Web: an online tool for robust analysis of high-throughput capillary electrophoresis. Nucleic Acids Res. Hanjoo Kim, Pablo Cordero, Rhiju Das, Sungroh Yoon
2013	—	`conf`	In-depth analysis of interrelation between quality scores and real errors in illumina reads. EMBC Sunyoung Kwon, Seunghyun Park, Byunghan Lee, Sungroh Yoon
2013	J	`jnl`	Massively Parallel Energy Space Exploration for Uncluttered Visualization of Vascular Structures. IEEE Trans. Biomed. Eng. Yongkweon Jeon, Joong-Ho Won, Sungroh Yoon
2013	—	`conf`	Robust classification of DNA damage patterns in single cell gel electrophoresis. EMBC Taehoon Lee, Sungmin Lee, Woo Young Sim, Yu Mi Jung, Sunmi Han, Chanil Chung, Jay Junkeun Chang, Hyeyoung Min, Sungroh Yoon
2013	J	`jnl`	Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming. IEEE Trans. Vis. Comput. Graph. Joong-Ho Won, Yongkweon Jeon, Jarrett Rosenberg, Sungroh Yoon, Geoffrey D. Rubin, Sandy Napel
2013	Misc	`conf`	VSSIM: Virtual machine based SSD simulator. MSST Jinsoo Yoo, Youjip Won, Joongwoo Hwang, Sooyong Kang, Jongmoo Choi, Sungroh Yoon, Jaehyuk Cha
2012	J	`jnl`	Application-Support Particle Filter for Dynamic Voltage Scaling of Multimedia Applications. IEEE Trans. Computers Jae-Beom Lee, Myoung-Jin Kim, Sungroh Yoon, Eui-Young Chung
2012	Misc	`conf`	Deduplication in SSDs: Model and quantitative analysis. MSST Jonghwa Kim, Choonghyun Lee, Sang Yup Lee, Ikjoon Son, Jongmoo Choi, Sungroh Yoon, Hu-ung Lee, Sooyong Kang, Youjip Won, Jaehyuk Cha
2012	A*	`conf`	Rapid and Robust Denoising of Pyrosequenced Amplicons for Metagenomics. ICDM Byunghan Lee, Joonhong Park, Sungroh Yoon
2011	J	`jnl`	Buffer Controller-Based Multiple Processing Element Utilization for Dataflow Synthesis. IEEE Trans. Very Large Scale Integr. Syst. Woohyung Chun, Sungroh Yoon, Sangjin Hong
2011	J	`jnl`	Constructing Accurate Contact Maps for Hydroxyl-Radical-Cleavage-Based High-Throughput RNA Structure Inference. IEEE Trans. Biomed. Eng. Jinkyu Kim, Hanjoo Kim, Hyeyoung Min, Sungroh Yoon
2011	J	`jnl`	Energy-Aware Interconnect Resource Reduction Through Buffer Access Manipulation for Data-Centric Applications. IEEE Trans. Very Large Scale Integr. Syst. Woohyung Chun, Sungroh Yoon, Sangjin Hong
2011	J	`jnl`	Fast sort of floating-point data for data engineering. Adv. Eng. Softw. Changsoo Kim, Sungroh Yoon, Dongseung Kim
2011	J	`jnl`	HiTRACE: high-throughput robust analysis for capillary electrophoresis. Bioinform. Sungroh Yoon, Jinkyu Kim, Justine Hum, Hanjoo Kim, Seunghyun Park, Wipapat Kladwang, Rhiju Das
2011	—	`conf`	SSD Characterization: From Energy Consumption's Perspective. HotStorage Balgeun Yoo, Youjip Won, Seokhei Cho, Sooyong Kang, Jongmoo Choi, Sungroh Yoon
2011	J	`jnl`	Verification methodology for the IMT-Advanced channel simulator. IEICE Electron. Express Kyung Won Kim, Jae Joon Park, Sungroh Yoon, Seong-Jun Oh
2010	J	`jnl`	Architecture Exploration of High-Performance PCs with a Solid-State Disk. IEEE Trans. Computers Dong Kim, Kwanhu Bang, Seung-Hwan Ha, Sungroh Yoon, Eui-Young Chung
2010	J	`jnl`	Concurrent simulation platform for energy-aware smart metering systems. IEEE Trans. Consumer Electron. Seunghyun Park, Hanjoo Kim, Hichan Moon, Jun Heo, Sungroh Yoon
2010	A	`conf`	Exploiting multiple switch libraries in topology synthesis of on-chip interconnection network. DATE Minje Jun, Sungroh Yoon, Eui-Young Chung
2010	J	`jnl`	Numerically efficient algorithm for modified trellis approaches. IEEE Trans. Commun. Hichan Moon, Sungroh Yoon
2009	J	`jnl`	A good puncturing scheme for rate compatible low-density parity-check codes. J. Commun. Networks Sunghoon Choi, Sungroh Yoon, Wonjin Sung, Hongkyu Kwon, Jun Heo
2009	J	`jnl`	A robust peak detection method for RNA structure inference by high-throughput contact mapping. Bioinform. Jinkyu Kim, Seunghak Yu, Byonghyo Shim, Hanjoo Kim, Hyeyoung Min, Eui-Young Chung, Rhiju Das, Sungroh Yoon
2009	J	`jnl`	High-Speed Post-Layout Logic Simulation Using Quasi-Static Clock Event Evaluation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Myeongjin Kim, Eui-Young Chung, Sungroh Yoon
2009	J	`jnl`	K-maximin clustering: a maximin correlation approach to partition-based clustering. IEICE Electron. Express Taehoon Lee, Seung Jean Kim, Eui-Young Chung, Sungroh Yoon
2009	J	`jnl`	Nonlinear preprocessing method for detecting peaks from gas chromatograms. BMC Bioinform. Byonghyo Shim, Hyeyoung Min, Sungroh Yoon
2009	J	`jnl`	Performance analysis of network coding with raptor codes for IPTV. IEEE Trans. Consumer Electron. Kwangseok Noh, Sungroh Yoon, Jun Heo
2009	J	`jnl`	Run-Time Adaptive Workload Estimation for Dynamic Voltage Scaling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Sung-Yong Bang, Kwanhu Bang, Sungroh Yoon, Eui-Young Chung
2008	J	`jnl`	Joint co-clustering: Co-clustering of genomic and clinical bioimaging data. Comput. Math. Appl. Elisa Ficarra, Giovanni De Micheli, Sungroh Yoon, Luca Benini, Enrico Macii
2007	J	`jnl`	Clustering protein environments for function prediction: finding PROSITE motifs in 3D. BMC Bioinform. Sungroh Yoon, Jessica C. Ebert, Eui-Young Chung, Giovanni De Micheli, Russ B. Altman
2007	J	`jnl`	Co-clustering: A Versatile Tool for Data Analysis in Biomedical Informatics. IEEE Trans. Inf. Technol. Biomed. Sungroh Yoon, Luca Benini, Giovanni De Micheli
2006	J	`jnl`	A Pattern-Mining Method for High-Throughput Lab-on-a-Chip Data Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Sungroh Yoon, Luca Benini, Giovanni De Micheli
2006	—	`conf`	Exploiting Binary Abstractions in Deciphering Gene Interactions. EMBC Sungroh Yoon, Abhishek Garg, Eui-Young Chung, Hyun Seok Park, Woong-Yang Park, Giovanni De Micheli
2006	C	`conf`	Mining Gene Sets for Measuring Similarities. ISCC Christine Nardini, Daniele Masotti, Sungroh Yoon, Enrico Macii, Michael D. Kuo, Giovanni De Micheli, Luca Benini
2005	J	`jnl`	Discovering Coherent Biclusters from Gene Expression Data Using Zero-Suppressed Binary Decision Diagrams. IEEE ACM Trans. Comput. Biol. Bioinform. Sungroh Yoon, Christine Nardini, Luca Benini, Giovanni De Micheli
2005	—	`conf`	Prediction of regulatory modules comprising microRNAs and target genes. ECCB/JBI Sungroh Yoon, Giovanni De Micheli
2004	C	`conf`	Enhanced pClustering and Its Applications to Gene Expression Data. BIBE Sungroh Yoon, Christine Nardini, Luca Benini, Giovanni De Micheli