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2020 – today
- 2024
[j75]Dahuin Jung, Hyungyu Lee, Sungroh Yoon:
Sample-efficient Adversarial Imitation Learning. J. Mach. Learn. Res. 25: 31:1-31:32 (2024)- [j74]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): 1618-1634 (2024) - [c115]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: 791-809 - [c114]Sangwon Yu, Changmin Lee, Hojin Lee, Sungroh Yoon:
Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor. ACL (1) 2024: 14215-14237 - [c113]Jihun Yi, Sungroh Yoon:
CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection. CIKM 2024: 3002-3011 - [c112]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: 915-929 - [c111]Siwon Kim, Shuyang Dai, Mohammad Kachuee, Shayan Ray, Tara Taghavi, Sungroh Yoon:
GrounDial: Human-norm Grounded Safe Dialog Response Generation. EACL (Findings) 2024: 1582-1588 - [c110]Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon:
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. ECCV (52) 2024: 184-201 - [c109]Eunji Kim, Kyuhong Shim, Simyung Chang, Sungroh Yoon:
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP. EMNLP (Findings) 2024: 14330-14345 - [c108]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 - [c107]Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon:
SF(DA)2: Source-free Domain Adaptation Through the Lens of Data Augmentation. ICLR 2024 - [c106]Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon:
DAFA: Distance-Aware Fair Adversarial Training. ICLR 2024 - [c105]Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon:
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems. NAACL (Industry Track) 2024: 419-426 - [i137]Yeongtak Oh, Saehyung Lee, Uiwon Hwang, Sungroh Yoon:
On mitigating stability-plasticity dilemma in CLIP-guided image morphing via geodesic distillation loss. CoRR abs/2401.10526 (2024) - [i136]Hyungyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae, Sungroh Yoon:
DAFA: Distance-Aware Fair Adversarial Training. CoRR abs/2401.12532 (2024) - [i135]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 abs/2402.05706 (2024) - [i134]Siwon Kim, Shuyang Dai, Mohammad Kachuee, Shayan Ray, Tara Taghavi, Sungroh Yoon:
GrounDial: Human-norm Grounded Safe Dialog Response Generation. CoRR abs/2402.08968 (2024) - [i133]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 abs/2402.09004 (2024) - [i132]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 abs/2402.15162 (2024) - [i131]Daegyu Kim, Jooyoung Choi, Chaehun Shin, Uiwon Hwang, Sungroh Yoon:
Improving Diffusion-Based Generative Models via Approximated Optimal Transport. CoRR abs/2403.05069 (2024) - [i130]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 abs/2403.07366 (2024) - [i129]Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon:
SF(DA)2: Source-free Domain Adaptation Through the Lens of Data Augmentation. CoRR abs/2403.10834 (2024) - [i128]Yeongtak Oh, Jonghyun Lee, Jooyoung Choi, Dahuin Jung, Uiwon Hwang, Sungroh Yoon:
Efficient Diffusion-Driven Corruption Editor for Test-Time Adaptation. CoRR abs/2403.10911 (2024) - [i127]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 abs/2406.03411 (2024) - [i126]Kukjin Choi, Jihun Yi, Jisoo Mok, Sungroh Yoon:
Self-Supervised Time-Series Anomaly Detection Using Learnable Data Augmentation. CoRR abs/2406.12260 (2024) - [i125]Jongyoon Song, Sangwon Yu, Sungroh Yoon:
Large Language Models are Skeptics: False Negative Problem of Input-conflicting Hallucination. CoRR abs/2406.13929 (2024) - [i124]Jaihyun Lew, Jooyoung Choi, Chaehun Shin, Dahuin Jung, Sungroh Yoon:
Disentangled Motion Modeling for Video Frame Interpolation. CoRR abs/2406.17256 (2024) - [i123]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 abs/2407.12016 (2024) - [i122]Jihun Yi, Dahuin Jung, Sungroh Yoon:
Normality Addition via Normality Detection in Industrial Image Anomaly Detection Models. CoRR abs/2407.19849 (2024) - [i121]Sangwon Yu, Jongyoon Song, Bongkyu Hwang, Hoyoung Kang, Sooah Cho, Junhwa Choi, Seongho Joe, Taehee Lee, Youngjune L. Gwon, Sungroh Yoon:
Correcting Negative Bias in Large Language Models through Negative Attention Score Alignment. CoRR abs/2408.00137 (2024) - [i120]Jihun Yi, Sungroh Yoon:
CKNN: Cleansed k-Nearest Neighbor for Unsupervised Video Anomaly Detection. CoRR abs/2408.03014 (2024) - [i119]Eunji Kim, Siwon Kim, Rahim Entezari, Sungroh Yoon:
Unlocking Intrinsic Fairness in Stable Diffusion. CoRR abs/2408.12692 (2024) - [i118]Heeseung Kim, Sang-gil Lee, Jiheum Yeom, Che Hyun Lee, Sungwon Kim, Sungroh Yoon:
VoiceTailor: Lightweight Plug-In Adapter for Diffusion-Based Personalized Text-to-Speech. CoRR abs/2408.14739 (2024) - [i117]Jiheum Yeom, Heeseung Kim, Jooyoung Choi, Che Hyun Lee, Nohil Park, Sungroh Yoon:
VoiceGuider: Enhancing Out-of-Domain Performance in Parameter-Efficient Speaker-Adaptive Text-to-Speech via Autoguidance. CoRR abs/2409.15759 (2024) - [i116]Nohil Park, Heeseung Kim, Che Hyun Lee, Jooyoung Choi, Jiheum Yeom, Sungroh Yoon:
NanoVoice: Efficient Speaker-Adaptive Text-to-Speech for Multiple Speakers. CoRR abs/2409.15760 (2024) - [i115]Saehyung Lee, Jisoo Mok, Sangha Park, Yongho Shin, Dahuin Jung, Sungroh Yoon:
Textual Training for the Hassle-Free Removal of Unwanted Visual Data. CoRR abs/2409.19840 (2024) - [i114]Sangwon Yu, Ik-hwan Kim, Jongyoon Song, Saehyung Lee, Junsung Park, Sungroh Yoon:
Unleashing Multi-Hop Reasoning Potential in Large Language Models through Repetition of Misordered Context. CoRR abs/2410.07103 (2024) - [i113]Eunji Kim, Kyuhong Shim, Simyung Chang, Sungroh Yoon:
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP. CoRR abs/2410.08469 (2024) - [i112]Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao:
Interpretable Language Modeling via Induction-head Ngram Models. CoRR abs/2411.00066 (2024) - 2023
- [j73]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: 102654 (2023) - [j72]Yang Jeong Park, Hyungi Kim, Jeonghee Jo, Sungroh Yoon:
Deep contrastive learning of molecular conformation for efficient property prediction. Nat. Comput. Sci. 3(12): 1015-1022 (2023) - [j71]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): 331-342 (2023) - [j70]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): 319-329 (2023) - [c104]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: 12573-12589 - [c103]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: 13884-13898 - [c102]Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon:
Edit-A-Video: Single Video Editing with Object-Aware Consistency. ACML 2023: 1215-1230 - [c101]Jaihyun Koh, Jaihyun Lew, Jangho Lee, Sungroh Yoon:
MG-MLP: Multi-gated MLP for Restoring Images from Spatially Variant Degradations. BMVC 2023: 283-285 - [c100]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 - [c99]Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon:
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. ICLR 2023 - [c98]Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon:
On the Impact of Knowledge Distillation for Model Interpretability. ICML 2023: 12389-12410 - [c97]Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon:
Probabilistic Concept Bottleneck Models. ICML 2023: 16521-16540 - [c96]Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon:
Improving Visual Prompt Tuning for Self-supervised Vision Transformers. ICML 2023: 40075-40092 - [c95]Heeseung Kim, Sungwon Kim, Jiheum Yeom, Sungroh Yoon:
UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data. INTERSPEECH 2023: 3038-3042 - [c94]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 - [c93]Bong Gyun Kang, HyunGi Kim, Dahuin Jung, Sungroh Yoon:
CLeAR: Continual Learning on Algorithmic Reasoning for Human-like Intelligence. NeurIPS 2023 - [c92]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 - [c91]Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh:
ProPILE: Probing Privacy Leakage in Large Language Models. NeurIPS 2023 - [c90]Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon:
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. NeurIPS 2023 - [i111]Dahuin Jung, Dongjin Lee, Sunwon Hong, Hyemi Jang, Ho Bae, Sungroh Yoon:
New Insights for the Stability-Plasticity Dilemma in Online Continual Learning. CoRR abs/2302.08741 (2023) - [i110]Dahuin Jung, Hyungyu Lee, Sungroh Yoon:
Sample-efficient Adversarial Imitation Learning. CoRR abs/2303.07846 (2023) - [i109]Chaehun Shin, Heeseung Kim, Che Hyun Lee, Sang-gil Lee, Sungroh Yoon:
Edit-A-Video: Single Video Editing with Object-Aware Consistency. CoRR abs/2303.07945 (2023) - [i108]Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon:
On the Impact of Knowledge Distillation for Model Interpretability. CoRR abs/2305.15734 (2023) - [i107]Jooyoung Choi, Yunjey Choi, Yunji Kim, Junho Kim, Sungroh Yoon:
Custom-Edit: Text-Guided Image Editing with Customized Diffusion Models. CoRR abs/2305.15779 (2023) - [i106]Daegyu Kim, Chaehun Shin, Jooyoung Choi, Dahuin Jung, Sungroh Yoon:
Diffusion-Stego: Training-free Diffusion Generative Steganography via Message Projection. CoRR abs/2305.18726 (2023) - [i105]Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon:
Probabilistic Concept Bottleneck Models. CoRR abs/2306.01574 (2023) - [i104]Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon:
Improving Visual Prompt Tuning for Self-supervised Vision Transformers. CoRR abs/2306.05067 (2023) - [i103]Heeseung Kim, Sungwon Kim, Jiheum Yeom, Sungroh Yoon:
UnitSpeech: Speaker-adaptive Speech Synthesis with Untranscribed Data. CoRR abs/2306.16083 (2023) - [i102]Jiwon Park, Jeonghee Jo, Sungroh Yoon:
Mass Spectra Prediction with Structural Motif-based Graph Neural Networks. CoRR abs/2306.16085 (2023) - [i101]Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh:
ProPILE: Probing Privacy Leakage in Large Language Models. CoRR abs/2307.01881 (2023) - [i100]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 abs/2308.13687 (2023) - [i99]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 abs/2310.10088 (2023) - [i98]Sangha Park, Jisoo Mok, Dahuin Jung, Saehyung Lee, Sungroh Yoon:
On the Powerfulness of Textual Outlier Exposure for Visual OoD Detection. CoRR abs/2310.16492 (2023) - [i97]Sangwon Yu, Changmin Lee, Hojin Lee, Sungroh Yoon:
Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor. CoRR abs/2311.07430 (2023) - [i96]Nohil Park, Joonsuk Park, Kang Min Yoo, Sungroh Yoon:
On the Analysis of Cross-Lingual Prompt Tuning for Decoder-based Multilingual Model. CoRR abs/2311.07820 (2023) - [i95]Yeongtak Oh, Jooyoung Choi, Yongsung Kim, Minjun Park, Chaehun Shin, Sungroh Yoon:
ControlDreamer: Stylized 3D Generation with Multi-View ControlNet. CoRR abs/2312.01129 (2023) - 2022
- [j69]Seonwoo Min, Byunghan Lee, Sungroh Yoon:
TargetNet: functional microRNA target prediction with deep neural networks. Bioinform. 38(3): 671-677 (2022) - [j68]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) - [j67]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): 888-898 (2022) - [j66]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): 982-993 (2022) - [j65]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): 3343-3356 (2022) - [c89]Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon:
Towards a Rigorous Evaluation of Time-Series Anomaly Detection. AAAI 2022: 7194-7201 - [c88]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: 29-45 - [c87]Heonseok Ha, Jaehee Jang, Yonghyun Jeong, Sungroh Yoon:
Membership Feature Disentanglement Network. AsiaCCS 2022: 364-376 - [c86]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: 377-391 - [c85]Heonseok Ha, Uiwon Hwang, Jaehee Jang, Ho Bae, Sungroh Yoon:
Membership Privacy-Preserving GAN. BMVC 2022: 576 - [c84]Jaihyun Koh, Jangho Lee, Sungroh Yoon:
BNUDC: A Two-Branched Deep Neural Network for Restoring Images from Under-Display Cameras. CVPR 2022: 1940-1949 - [c83]Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon:
Perception Prioritized Training of Diffusion Models. CVPR 2022: 11462-11471 - [c82]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: 11851-11860 - [c81]Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon:
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization. CVPR 2022: 14238-14247 - [c80]Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon:
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CVPR 2022: 16876-16885 - [c79]Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon:
Stein Latent Optimization for Generative Adversarial Networks. ICLR 2022 - [c78]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 - [c77]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: 91-99 - [c76]Heeseung Kim, Sungwon Kim, Sungroh Yoon:
Guided-TTS: A Diffusion Model for Text-to-Speech via Classifier Guidance. ICML 2022: 11119-11133 - [c75]Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon:
Dataset Condensation with Contrastive Signals. ICML 2022: 12352-12364 - [c74]Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon:
Confidence Score for Source-Free Unsupervised Domain Adaptation. ICML 2022: 12365-12377 - [c73]Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon:
AutoSNN: Towards Energy-Efficient Spiking Neural Networks. ICML 2022: 16253-16269 - [c72]Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon:
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks. ICPP 2022: 76:1-76:10 - [i94]Byunggook Na, Jisoo Mok, Seongsik Park, Dongjin Lee, Hyeokjun Choe, Sungroh Yoon:
AutoSNN: Towards Energy-Efficient Spiking Neural Networks. CoRR abs/2201.12738 (2022) - [i93]Saehyung Lee, Sanghyuk Chun, Sangwon Jung, Sangdoo Yun, Sungroh Yoon:
Dataset Condensation with Contrastive Signals. CoRR abs/2202.02916 (2022) - [i92]Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon:
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. CoRR abs/2203.03860 (2022) - [i91]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 abs/2203.14577 (2022) - [i90]Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon:
Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization. CoRR abs/2204.00220 (2022) - [i89]Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon:
Perception Prioritized Training of Diffusion Models. CoRR abs/2204.00227 (2022) - [i88]Jungbeom Lee, Eunji Kim, Jisoo Mok, Sungroh Yoon:
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization. CoRR abs/2204.04890 (2022) - [i87]Sungwon Kim, Heeseung Kim, Sungroh Yoon:
Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech with Untranscribed Data. CoRR abs/2205.15370 (2022) - [i86]Sang-gil Lee, Wei Ping, Boris Ginsburg, Bryan Catanzaro, Sungroh Yoon:
BigVGAN: A Universal Neural Vocoder with Large-Scale Training. CoRR abs/2206.04658 (2022) - [i85]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 abs/2206.04906 (2022) - [i84]Jonghyun Lee, Dahuin Jung, Junho Yim, Sungroh Yoon:
Confidence Score for Source-Free Unsupervised Domain Adaptation. CoRR abs/2206.06640 (2022) - [i83]Jaehee Jang, Heonseok Ha, Dahuin Jung, Sungroh Yoon:
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural Networks. CoRR abs/2210.14226 (2022) - 2021
- [j64]Sei Joon Kim, Seongsik Park, Byunggook Na, Jongwan Kim, Sungroh Yoon:
Towards Fast and Accurate Object Detection in Bio-Inspired Spiking Neural Networks Through Bayesian Optimization. IEEE Access 9: 2633-2643 (2021) - [j63]Hyungyu Lee, Ho Bae, Sungroh Yoon:
Gradient Masking of Label Smoothing in Adversarial Robustness. IEEE Access 9: 6453-6464 (2021) - [j62]Kukjin Choi, Jihun Yi, Changhwa Park, Sungroh Yoon:
Deep Learning for Anomaly Detection in Time-Series Data: Review, Analysis, and Guidelines. IEEE Access 9: 120043-120065 (2021) - [j61]Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon:
Pre-Training of Deep Bidirectional Protein Sequence Representations With Structural Information. IEEE Access 9: 123912-123926 (2021) - [j60]Sunyoung Kwon, Gyuwan Kim, Byunghan Lee, Jongsik Chun, Sungroh Yoon, Young-Han Kim:
NASCUP: Nucleic Acid Sequence Classification by Universal Probability. IEEE Access 9: 162779-162791 (2021) - [j59]Byunghan Lee, Hyeyoung Min, Sungroh Yoon:
MUGAN: multi-GPU accelerated AmpliconNoise server for rapid microbial diversity assessment. Bioinform. 37(11): 1562-1570 (2021) - [j58]Jaihyun Koh, Jangho Lee, Sungroh Yoon:
Single-image deblurring with neural networks: A comparative survey. Comput. Vis. Image Underst. 203: 103134 (2021) - [j57]Ho Bae, Younghan Lee, Yohan Kim, Uiwon Hwang, Sungroh Yoon, Yunheung Paek:
Learn2Evade: Learning-Based Generative Model for Evading PDF Malware Classifiers. IEEE Trans. Artif. Intell. 2(4): 299-313 (2021) - [j56]Jiyong Jang, Sungroh Yoon:
Feature Concentration for Supervised and Semisupervised Learning With Unbalanced Datasets in Visual Inspection. IEEE Trans. Ind. Electron. 68(8): 7620-7630 (2021) - [j55]Seongsik Park, Jaehee Jang, Sei Joon Kim, Byunggook Na, Sungroh Yoon:
Memory-Augmented Neural Networks on FPGA for Real-Time and Energy-Efficient Question Answering. IEEE Trans. Very Large Scale Integr. Syst. 29(1): 162-175 (2021) - [c71]Hyeokjun Choe, Byunggook Na, Jisoo Mok, Sungroh Yoon:
Variance-stationary Differentiable NAS. BMVC 2021: 162 - [c70]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:
Towards High Generalization Performance on Electrocardiogram Classification. CinC 2021: 1-4 - [c69]Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon:
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation. CVPR 2021: 2643-2652 - [c68]Jungbeom Lee, Eunji Kim, Sungroh Yoon:
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation. CVPR 2021: 4071-4080 - [c67]Eunji Kim, Siwon Kim, Minji Seo, Sungroh Yoon:
XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations. CVPR 2021: 15719-15728 - [c66]Seongsik Park, Dongjin Lee, Sungroh Yoon:
Noise-Robust Deep Spiking Neural Networks with Temporal Information. DAC 2021: 373-378 - [c65]Jongyoon Song, Sungwon Kim, Sungroh Yoon:
AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate. EMNLP (1) 2021: 1-14 - [c64]Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon:
AdvRush: Searching for Adversarially Robust Neural Architectures. ICCV 2021: 12302-12312 - [c63]Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon:
Toward Spatially Unbiased Generative Models. ICCV 2021: 14233-14242 - [c62]Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon:
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models. ICCV 2021: 14347-14356 - [c61]Chaehun Shin, Jangho Lee, Byunggook Na, Sungroh Yoon:
Personalized Face Authentication Based On Few-Shot Meta-Learning. ICIP 2021: 3897-3901 - [c60]Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon:
Removing Undesirable Feature Contributions Using Out-of-Distribution Data. ICLR 2021 - [c59]Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon:
Accelerating Neural Architecture Search via Proxy Data. IJCAI 2021: 2848-2854 - [c58]Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon:
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation. NeurIPS 2021: 27408-27421 - [i82]Saehyung Lee, Changhwa Park, Hyungyu Lee, Jihun Yi, Jonghyun Lee, Sungroh Yoon:
Removing Undesirable Feature Contributions Using Out-of-Distribution Data. CoRR abs/2101.06639 (2021) - [i81]Jungbeom Lee, Eunji Kim, Sungroh Yoon:
Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation. CoRR abs/2103.08896 (2021) - [i80]Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon:
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation. CoRR abs/2103.08907 (2021) - [i79]Eunji Kim, Siwon Kim, Minji Seo, Sungroh Yoon:
XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations. CoRR abs/2103.10663 (2021) - [i78]Seongsik Park, Dongjin Lee, Sungroh Yoon:
Noise-Robust Deep Spiking Neural Networks with Temporal Information. CoRR abs/2104.11169 (2021) - [i77]Seongsik Park, Sungroh Yoon:
Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding. CoRR abs/2106.02568 (2021) - [i76]Byunggook Na, Jisoo Mok, Hyeokjun Choe, Sungroh Yoon:
Accelerating Neural Architecture Search via Proxy Data. CoRR abs/2106.04784 (2021) - [i75]Uiwon Hwang, Heeseung Kim, Dahuin Jung, Hyemi Jang, Hyungyu Lee, Sungroh Yoon:
Stein Latent Optimization for GANs. CoRR abs/2106.05319 (2021) - [i74]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-Driven Adaptive Prior. CoRR abs/2106.06406 (2021) - [i73]Jeonghee Jo, Bumju Kwak, Byunghan Lee, Sungroh Yoon:
Flexible dual-branched message passing neural network for quantum mechanical property prediction with molecular conformation. CoRR abs/2106.07273 (2021) - [i72]Bumju Kwak, Jeonghee Jo, Byunghan Lee, Sungroh Yoon:
Geometry-aware Transformer for molecular property prediction. CoRR abs/2106.15516 (2021) - [i71]Seonwoo Min, Byunghan Lee, Sungroh Yoon:
TargetNet: Functional microRNA Target Prediction with Deep Neural Networks. CoRR abs/2107.11381 (2021) - [i70]Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon:
Toward Spatially Unbiased Generative Models. CoRR abs/2108.01285 (2021) - [i69]Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon:
AdvRush: Searching for Adversarially Robust Neural Architectures. CoRR abs/2108.01289 (2021) - [i68]Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon:
ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models. CoRR abs/2108.02938 (2021) - [i67]Sangwon Yu, Jongyoon Song, Heeseung Kim, Seongmin Lee, Woo-Jong Ryu, Sungroh Yoon:
Rare Words Degenerate All Words. CoRR abs/2109.03127 (2021) - [i66]Siwon Kim, Kukjin Choi, Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon:
Towards a Rigorous Evaluation of Time-series Anomaly Detection. CoRR abs/2109.05257 (2021) - [i65]Jongyoon Song, Sungwon Kim, Sungroh Yoon:
AligNART: Non-autoregressive Neural Machine Translation by Jointly Learning to Estimate Alignment and Translate. CoRR abs/2109.06481 (2021) - [i64]Yonghyun Jeong, Jooyoung Choi, Sungwon Kim, Youngmin Ro, Tae-Hyun Oh, Doyeon Kim, Heonseok Ha, Sungroh Yoon:
FICGAN: Facial Identity Controllable GAN for De-identification. CoRR abs/2110.00740 (2021) - [i63]Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon:
Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation. CoRR abs/2110.06530 (2021) - [i62]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 abs/2110.12172 (2021) - [i61]Heeseung Kim, Sungwon Kim, Sungroh Yoon:
Guided-TTS: Text-to-Speech with Untranscribed Speech. CoRR abs/2111.11755 (2021) - [i60]Sungmin Cha, Seonwoo Min, Sungroh Yoon, Taesup Moon:
Supervised Neural Discrete Universal Denoiser for Adaptive Denoising. CoRR abs/2111.12350 (2021) - [i59]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 abs/2112.01535 (2021) - 2020
- [j54]Jaekoo Lee, Ho Bae, Sungroh Yoon:
Anomaly Detection by Learning Dynamics From a Graph. IEEE Access 8: 64356-64365 (2020) - [c57]Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon:
Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection. AAAI 2020: 11270-11277 - [c56]Jihun Yi, Sungroh Yoon:
Patch SVDD: Patch-Level SVDD for Anomaly Detection and Segmentation. ACCV (6) 2020: 375-390 - [c55]Seonwoo Min, Hyun-Soo Choi, Hyeongrok Han, Minji Seo, Jin-Kook Kim, Junsang Park, Sunghoon Jung, Il-Young Oh, Byunghan Lee, Sungroh Yoon:
Bag of Tricks for Electrocardiogram Classification With Deep Neural Networks. CinC 2020: 1-4 - [c54]Saehyung Lee, Hyungyu Lee, Sungroh Yoon:
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization. CVPR 2020: 269-278 - [c53]Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon:
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. DAC 2020: 1-6 - [c52]Seongsik Park, Jongwan Kim, Sungroh Yoon:
Energy-aware Placement for SRAM-NVM Hybrid FPGAs. DATE 2020: 858-863 - [c51]Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon:
iCaps: An Interpretable Classifier via Disentangled Capsule Networks. ECCV (19) 2020: 314-330 - [c50]Sanghyun Baek, Jiyong Jang, Sung-Hwan Cho, Jong Min Choi, Sungroh Yoon:
Blood Pressure Prediction by a Smartphone Sensor using Fully Convolutional Networks. EMBC 2020: 188-191 - [c49]Siwon Kim, Jihun Yi, Eunji Kim, Sungroh Yoon:
Interpretation of NLP models through input marginalization. EMNLP (1) 2020: 3154-3167 - [c48]Jaehyeon Kim, Sungwon Kim, Jungil Kong, Sungroh Yoon:
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search. NeurIPS 2020 - [c47]Sang-gil Lee, Sungwon Kim, Sungroh Yoon:
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity. NeurIPS 2020 - [c46]Ho Bae, Dahuin Jung, Hyun-Soo Choi, Sungroh Yoon:
AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data. PSB 2020: 563-574 - [i58]Saehyung Lee, Hyungyu Lee, Sungroh Yoon:
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization. CoRR abs/2003.02484 (2020) - [i57]Seongsik Park, Sei Joon Kim, Byunggook Na, Sungroh Yoon:
T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding. CoRR abs/2003.11741 (2020) - [i56]Jaehyeon Kim, Sungwon Kim, Jungil Kong, Sungroh Yoon:
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search. CoRR abs/2005.11129 (2020) - [i55]Sang-gil Lee, Sungwon Kim, Sungroh Yoon:
NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity. CoRR abs/2006.06280 (2020) - [i54]Changhwa Park, Jonghyun Lee, Jaeyoon Yoo, Minhoe Hur, Sungroh Yoon:
Joint Contrastive Learning for Unsupervised Domain Adaptation. CoRR abs/2006.10297 (2020) - [i53]Jihun Yi, Sungroh Yoon:
Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation. CoRR abs/2006.16067 (2020) - [i52]Dahuin Jung, Jonghyun Lee, Jihun Yi, Sungroh Yoon:
iCaps: An Interpretable Classifier via Disentangled Capsule Networks. CoRR abs/2008.08756 (2020) - [i51]Jihun Yi, Eunji Kim, Siwon Kim, Sungroh Yoon:
Information-Theoretic Visual Explanation for Black-Box Classifiers. CoRR abs/2009.11150 (2020) - [i50]Jangho Lee, Jaihyun Koh, Sungroh Yoon:
Momentum Contrast Speaker Representation Learning. CoRR abs/2010.11457 (2020) - [i49]Siwon Kim, Jihun Yi, Eunji Kim, Sungroh Yoon:
Interpretation of NLP models through input marginalization. CoRR abs/2010.13984 (2020)
2010 – 2019
- 2019
- [j53]Yonghoon Jeon, Siwon Kim, Hyun-Soo Choi, Yoon Gi Chung, Sun Ah Choi, Hunmin Kim, Sungroh Yoon, Hee Hwang, Ki Joong Kim:
Pediatric Sleep Stage Classification Using Multi-Domain Hybrid Neural Networks. IEEE Access 7: 96495-96505 (2019) - [j52]Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho:
PuVAE: A Variational Autoencoder to Purify Adversarial Examples. IEEE Access 7: 126582-126593 (2019) - [j51]Hyun-Soo Choi, Seonwoo Min, Siwon Kim, Ho Bae, Jee Eun Yoon, Inha Hwang, Dana Oh, Chang-Ho Yun, Sungroh Yoon:
Learning-Based Instantaneous Drowsiness Detection Using Wired and Wireless Electroencephalography. IEEE Access 7: 146390-146402 (2019) - [j50]Sanghyun Baek, Jiyong Jang, Sungroh Yoon:
End-to-End Blood Pressure Prediction via Fully Convolutional Networks. IEEE Access 7: 185458-185468 (2019) - [j49]Sunyoung Kwon, Ho Bae, Jeonghee Jo, Sungroh Yoon:
Comprehensive ensemble in QSAR prediction for drug discovery. BMC Bioinform. 20(1): 521:1-521:12 (2019) - [j48]Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon:
How Generative Adversarial Networks and Their Variants Work: An Overview. ACM Comput. Surv. 52(1): 10:1-10:43 (2019) - [j47]Sunyoung Kwon, Sungroh Yoon:
End-to-End Representation Learning for Chemical-Chemical Interaction Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1436-1447 (2019) - [c45]Jeonghee Jo, Hyun-Soo Choi, Sungroh Yoon:
Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data. BIBM 2019: 664-667 - [c44]Jungbeom Lee, Jangho Lee, Sungmin Lee, Sungroh Yoon:
Mutual Suppression Network for Video Prediction using Disentangled Features. BMVC 2019: 296 - [c43]Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon:
FickleNet: Weakly and Semi-Supervised Semantic Image Segmentation Using Stochastic Inference. CVPR 2019: 5267-5276 - [c42]Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Sungroh Yoon:
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks. DAC 2019: 53 - [c41]Hyunyoung Oh, Hayoon Yi, Hyeokjun Choe, Yeongpil Cho, Sungroh Yoon, Yunheung Paek:
Real-Time Anomalous Branch Behavior Inference with a GPU-inspired Engine for Machine Learning Models. DATE 2019: 908-913 - [c40]Seongsik Park, Jaehee Jang, Sei Joon Kim, Sungroh Yoon:
Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA. DATE 2019: 1587-1590 - [c39]Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon:
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation. ICCV 2019: 6807-6817 - [c38]Uiwon Hwang, Dahuin Jung, Sungroh Yoon:
HexaGAN: Generative Adversarial Nets for Real World Classification. ICML 2019: 2921-2930 - [c37]Sungwon Kim, Sang-gil Lee, Jongyoon Song, Jaehyeon Kim, Sungroh Yoon:
FloWaveNet : A Generative Flow for Raw Audio. ICML 2019: 3370-3378 - [c36]Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon:
DNA Steganalysis Using Deep Recurrent Neural Networks. PSB 2019: 88-99 - [i48]Ho Bae, Dahuin Jung, Sungroh Yoon:
AnomiGAN: Generative adversarial networks for anonymizing private medical data. CoRR abs/1901.11313 (2019) - [i47]Uiwon Hwang, Dahuin Jung, Sungroh Yoon:
HexaGAN: Generative Adversarial Nets for Real World Classification. CoRR abs/1902.09913 (2019) - [i46]Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon:
FickleNet: Weakly and Semi-supervised Semantic Image Segmentation\\using Stochastic Inference. CoRR abs/1902.10421 (2019) - [i45]Dahuin Jung, Ho Bae, Hyun-Soo Choi, Sungroh Yoon:
PixelSteganalysis: Pixel-wise Hidden Information Removal with Low Visual Degradation. CoRR abs/1902.10905 (2019) - [i44]Uiwon Hwang, Jaewoo Park, Hyemi Jang, Sungroh Yoon, Nam Ik Cho:
PuVAE: A Variational Autoencoder to Purify Adversarial Examples. CoRR abs/1903.00585 (2019) - [i43]Jaeyoon Yoo, Changhwa Park, Yongjun Hong, Sungroh Yoon:
Learning Condensed and Aligned Features for Unsupervised Domain Adaptation Using Label Propagation. CoRR abs/1903.04860 (2019) - [i42]Sei Joon Kim, Seongsik Park, Byunggook Na, Sungroh Yoon:
Spiking-YOLO: Spiking Neural Network for Real-time Object Detection. CoRR abs/1903.06530 (2019) - [i41]Dongjun Lee, Jaesik Yoon, Jongyun Song, Sang-gil Lee, Sungroh Yoon:
One-Shot Learning for Text-to-SQL Generation. CoRR abs/1905.11499 (2019) - [i40]Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon:
Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation. CoRR abs/1908.04501 (2019) - [i39]Seonwoo Min, Seunghyun Park, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon:
Pre-Training of Deep Bidirectional Protein Sequence Representations with Structural Information. CoRR abs/1912.05625 (2019) - 2018
- [j46]Seil Lee, Hanjoo Kim, Jaehong Park, Jaehee Jang, Chang-Sung Jeong, Sungroh Yoon:
TensorLightning: A Traffic-Efficient Distributed Deep Learning on Commodity Spark Clusters. IEEE Access 6: 27671-27680 (2018) - [j45]Seil Lee, Hanjoo Kim, Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Sungroh Yoon:
CloudSocket: Fine-Grained Power Sensing System for Datacenters. IEEE Access 6: 49601-49610 (2018) - [j44]Junghwan Baek, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon:
LncRNAnet: long non-coding RNA identification using deep learning. Bioinform. 34(22): 3889-3897 (2018) - [j43]Taehoon Lee, Sungmin Lee, Woo Young Sim, Yu Mi Jung, Sunmi Han, Joong-Ho Won, Hyeyoung Min, Sungroh Yoon:
HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment. BMC Bioinform. 19-S(1): 49-61 (2018) - [j42]Taehoon Lee, Sungmin Lee, Woo Young Sim, Yu Mi Jung, Sunmi Han, Joong-Ho Won, Hyeyoung Min, Sungroh Yoon:
Correction to: HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment. BMC Bioinform. 19(1): 170:1 (2018) - [j41]Seunghyun Park, Hyun-Soo Choi, Byunghan Lee, Jongsik Chun, Joong-Ho Won, Sungroh Yoon:
hc-OTU: A Fast and Accurate Method for Clustering Operational Taxonomic Units Based on Homopolymer Compaction. IEEE ACM Trans. Comput. Biol. Bioinform. 15(2): 441-451 (2018) - [c35]Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon:
Quantized Memory-Augmented Neural Networks. AAAI 2018: 3909-3916 - [c34]Borim Ryu, Sungwoon Choi, Sehyun Kim, Sooyoung Yoo, Sungroh Yoon, Jeong-Whun Kim:
Breast cancer recurrence data preparation and prediction algorithm development. AMIA 2018 - [c33]Hyun-Soo Choi, Siwon Kim, Jung Eun Oh, Jee Eun Yoon, Jung Ah Park, Chang-Ho Yun, Sungroh Yoon:
XGBoost-Based Instantaneous Drowsiness Detection Framework Using Multitaper Spectral Information of Electroencephalography. BCB 2018: 111-121 - [c32]Jongsun Lee, Hyun-Soo Choi, Yongkweon Jeon, Yongsik Kwon, Donghun Lee, Sungroh Yoon:
Detecting System Anomalies in Multivariate Time Series with Information Transfer and Random Walk. BDCAT 2018: 71-80 - [c31]Jongyoon Song, Hyunjae Kim, Jaekoo Lee, Euishin Choi, Minseok Kim, Sungroh Yoon:
Customization of IBM Intu's Voice by Connecting Text-to-Speech Services and a Voice Conversion Network. HICSS 2018: 1-10 - [c30]Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon:
Liver Lesion Detection from Weakly-Labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector. MICCAI (2) 2018: 693-701 - [i38]Sungwoon Choi, Heonseok Ha, Uiwon Hwang, Chanju Kim, Jung-Woo Ha, Sungroh Yoon:
Reinforcement Learning based Recommender System using Biclustering Technique. CoRR abs/1801.05532 (2018) - [i37]Hayoon Yi, Gyuwan Kim, Jangho Lee, Sunwoo Ahn, Younghan Lee, Sungroh Yoon, Yunheung Paek:
Extended Abstract: Mimicry Resilient Program Behavior Modeling with LSTM based Branch Models. CoRR abs/1803.09171 (2018) - [i36]Jungbeom Lee, Jangho Lee, Sungmin Lee, Sungroh Yoon:
MSnet: Mutual Suppression Network for Disentangled Video Representations. CoRR abs/1804.04810 (2018) - [i35]Jaekoo Lee, Byunghan Lee, Jongyoon Song, Jaesik Yoon, Yongsik Lee, Donghun Lee, Sungroh Yoon:
Deep Learning on Key Performance Indicators for Predictive Maintenance in SAP HANA. CoRR abs/1804.05497 (2018) - [i34]Seongsik Park, Jaehee Jang, Sei Joon Kim, Sungroh Yoon:
Streaming MANN: A Streaming-Based Inference for Energy-Efficient Memory-Augmented Neural Networks. CoRR abs/1805.07978 (2018) - [i33]Heonseok Ha, Yongjun Hong, Uiwon Hwang, Sungroh Yoon:
Intelligent Knowledge Tracing: More Like a Real Learning Process of a Student. CoRR abs/1805.10768 (2018) - [i32]Sungmin Lee, Jangho Lee, Jungbeom Lee, Chul-Kee Park, Sungroh Yoon:
Robust Tumor Localization with Pyramid Grad-CAM. CoRR abs/1805.11393 (2018) - [i31]Sang-gil Lee, Jae Seok Bae, Hyunjae Kim, Jung Hoon Kim, Sungroh Yoon:
Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector. CoRR abs/1807.00436 (2018) - [i30]Ho Bae, Jaehee Jang, Dahuin Jung, Hyemi Jang, Heonseok Ha, Sungroh Yoon:
Security and Privacy Issues in Deep Learning. CoRR abs/1807.11655 (2018) - [i29]Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Sungroh Yoon:
Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks. CoRR abs/1809.03142 (2018) - [i28]Sungwon Kim, Sang-gil Lee, Jongyoon Song, Sungroh Yoon:
FloWaveNet : A Generative Flow for Raw Audio. CoRR abs/1811.02155 (2018) - 2017
- [j40]Yongkweon Jeon, Jaeyoon Yoo, Jongsun Lee, Sungroh Yoon:
NC-Link: A New Linkage Method for Efficient Hierarchical Clustering of Large-Scale Data. IEEE Access 5: 5594-5608 (2017) - [j39]Seonwoo Min, Byunghan Lee, Sungroh Yoon:
Deep learning in bioinformatics. Briefings Bioinform. 18(5): 851-869 (2017) - [j38]Jin-Young Kim, Tae-Hee You, Hyeokjun Seo, Sungroh Yoon, Jean-Luc Gaudiot, Eui-Young Chung:
An effective pre-store/pre-load method exploiting intra-request idle time of NAND flash-based storage devices. Microprocess. Microsystems 50: 222-236 (2017) - [c29]Jaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon:
Transfer Learning for Deep Learning on Graph-Structured Data. AAAI 2017: 2154-2160 - [c28]Sunyoung Kwon, Sungroh Yoon:
DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction. BCB 2017: 203-212 - [c27]Jangho Lee, Gyuwan Kim, Jaeyoon Yoo, Changwoo Jung, Minseok Kim, Sungroh Yoon:
Training IBM Watson Using Automatically Generated Question-Answer Pairs. HICSS 2017: 1-9 - [c26]Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon:
Deep Recurrent Neural Network-Based Identification of Precursor microRNAs. NIPS 2017: 2891-2900 - [i27]Jaehong Park, Jongyoon Song, Sungroh Yoon:
Building a Neural Machine Translation System Using Only Synthetic Parallel Data. CoRR abs/1704.00253 (2017) - [i26]Sunyoung Kwon, Sungroh Yoon:
DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction. CoRR abs/1704.08432 (2017) - [i25]Ho Bae, Byunghan Lee, Sunyoung Kwon, Sungroh Yoon:
DNA Steganalysis Using Deep Recurrent Neural Networks. CoRR abs/1704.08443 (2017) - [i24]Jaeyoon Yoo, Heonseok Ha, Jihun Yi, Jongha Ryu, Chanju Kim, Jung-Woo Ha, Young-Han Kim, Sungroh Yoon:
Energy-Based Sequence GANs for Recommendation and Their Connection to Imitation Learning. CoRR abs/1706.09200 (2017) - [i23]Sang-gil Lee, Uiwon Hwang, Seonwoo Min, Sungroh Yoon:
A SeqGAN for Polyphonic Music Generation. CoRR abs/1710.11418 (2017) - [i22]Seongsik Park, Sei Joon Kim, Seil Lee, Ho Bae, Sungroh Yoon:
Quantized Memory-Augmented Neural Networks. CoRR abs/1711.03712 (2017) - [i21]Uiwon Hwang, Sungwoon Choi, Sungroh Yoon:
Disease Prediction from Electronic Health Records Using Generative Adversarial Networks. CoRR abs/1711.04126 (2017) - [i20]Yongjun Hong, Uiwon Hwang, Jaeyoon Yoo, Sungroh Yoon:
How Generative Adversarial Nets and its variants Work: An Overview of GAN. CoRR abs/1711.05914 (2017) - [i19]Jaehee Jang, Byunggook Na, Sungroh Yoon:
Homomorphic Parameter Compression for Distributed Deep Learning Training. CoRR abs/1711.10123 (2017) - [i18]Jaeyoon Yoo, Yongjun Hong, Sungroh Yoon:
Autonomous UAV Navigation with Domain Adaptation. CoRR abs/1712.03742 (2017) - 2016
- [j37]Hyun-Soo Choi, Byunghan Lee, Sungroh Yoon:
Biometric Authentication Using Noisy Electrocardiograms Acquired by Mobile Sensors. IEEE Access 4: 1266-1273 (2016) - [j36]Taehoon Lee, Taesup Moon, Seung Jean Kim, Sungroh Yoon:
Regularization and Kernelization of the Maximin Correlation Approach. IEEE Access 4: 1385-1392 (2016) - [j35]Sungmin Lee, Hyeyoung Min, Sungroh Yoon:
Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis and beyond. Briefings Bioinform. 17(4): 713-727 (2016) - [j34]Dongwook Kim, Youjip Won, Jaehyuk Cha, Sungroh Yoon, Jongmoo Choi, Sooyong Kang:
Exploiting Compression-Induced Internal Fragmentation for Power-Off Recovery in SSD. IEEE Trans. Computers 65(6): 1720-1733 (2016) - [j33]Jinyoung Kim, Sang-Hoon Park, Hyeokjun Seo, Ki-Whan Song, Sungroh Yoon, Eui-Young Chung:
NAND Flash Memory With Multiple Page Sizes for High-Performance Storage Devices. IEEE Trans. Very Large Scale Integr. Syst. 24(2): 764-768 (2016) - [c25]Byunghan Lee, Junghwan Baek, Seunghyun Park, Sungroh Yoon:
deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks. BCB 2016: 434-442 - [c24]Seil Lee, Hanjoo Kim, Seongsik Park, Sei Joon Kim, Hyeokjun Choe, Chang-Sung Jeong, Sungroh Yoon:
CloudSocket: Smart grid platform for datacenters. ICCD 2016: 436-439 - [c23]Sungwoon Choi, Jangho Lee, Sangheon Pack, Yoon-Seok Chang, Sungroh Yoon:
Mining internet media for monitoring changes of public emotions about infectious diseases. ICDE Workshops 2016: 68-70 - [c22]Jinkyu Kim, Heonseok Ha, Byung-Gon Chun, Sungroh Yoon, Sang K. Cha:
Collaborative analytics for data silos. ICDE 2016: 743-754 - [c21]Taesup Moon, Seonwoo Min, Byunghan Lee, Sungroh Yoon:
Neural Universal Discrete Denoiser. NIPS 2016: 4772-4780 - [i17]Hanjoo Kim, Jaehong Park, Jaehee Jang, Sungroh Yoon:
DeepSpark: Spark-Based Deep Learning Supporting Asynchronous Updates and Caffe Compatibility. CoRR abs/1602.08191 (2016) - [i16]Seonwoo Min, Byunghan Lee, Sungroh Yoon:
Deep Learning in Bioinformatics. CoRR abs/1603.06430 (2016) - [i15]Byunghan Lee, Junghwan Baek, Seunghyun Park, Sungroh Yoon:
deepTarget: End-to-end Learning Framework for microRNA Target Prediction using Deep Recurrent Neural Networks. CoRR abs/1603.09123 (2016) - [i14]Seunghyun Park, Seonwoo Min, Hyun-Soo Choi, Sungroh Yoon:
deepMiRGene: Deep Neural Network based Precursor microRNA Prediction. CoRR abs/1605.00017 (2016) - [i13]Hyeokjun Choe, Seil Lee, Seongsik Park, Sei Joon Kim, Eui-Young Chung, Sungroh Yoon:
Near-Data Processing for Machine Learning. CoRR abs/1610.02273 (2016) - [i12]Gyuwan Kim, Hayoon Yi, Jangho Lee, Yunheung Paek, Sungroh Yoon:
LSTM-Based System-Call Language Modeling and Robust Ensemble Method for Designing Host-Based Intrusion Detection Systems. CoRR abs/1611.01726 (2016) - [i11]Seongsik Park, Sang-gil Lee, Hyunha Nam, Sungroh Yoon:
An Efficient Approach to Boosting Performance of Deep Spiking Network Training. CoRR abs/1611.02416 (2016) - [i10]Jangho Lee, Gyuwan Kim, Jaeyoon Yoo, Changwoo Jung, Minseok Kim, Sungroh Yoon:
Training IBM Watson using Automatically Generated Question-Answer Pairs. CoRR abs/1611.03932 (2016) - [i9]Jaekoo Lee, Hyunjae Kim, Jongsun Lee, Sungroh Yoon:
Intrinsic Geometric Information Transfer Learning on Multiple Graph-Structured Datasets. CoRR abs/1611.04687 (2016) - 2015
- [j32]Seungmyung Lee, Hanjoo Kim, Siqi Tian, Taehoon Lee, Sungroh Yoon, Rhiju Das:
Automated band annotation for RNA structure probing experiments with numerous capillary electrophoresis profiles. Bioinform. 31(17): 2808-2815 (2015) - [j31]Seokhei Cho, Changhyun Park, Youjip Won, Sooyong Kang, Jaehyuk Cha, Sungroh Yoon, Jongmoo Choi:
Design Tradeoffs of SSDs: From Energy Consumption's Perspective. ACM Trans. Storage 11(2): 8:1-8:24 (2015) - [j30]Yongkweon Jeon, Sungroh Yoon:
Multi-Threaded Hierarchical Clustering by Parallel Nearest-Neighbor Chaining. IEEE Trans. Parallel Distributed Syst. 26(9): 2534-2548 (2015) - [c20]Sungwoon Choi, Sei Joon Kim, Jongmo Seo, Jae Young Park, Sungroh Yoon:
Wearable and wireless measurement system for evaluating penile tumescence. BioCAS 2015: 1-4 - [c19]Sungmin Lee, Minsuk Choi, Hyun-Soo Choi, Moon Seok Park, Sungroh Yoon:
FingerNet: Deep learning-based robust finger joint detection from radiographs. BioCAS 2015: 1-4 - [c18]Seunghyun Park, Soowon Kang, Hyeyoung Min, Sungroh Yoon:
Computational prediction of competitive endogenous RNA. BioCAS 2015: 1-4 - [c17]Eunhyeok Park, Dongyoung Kim, Soobeom Kim, Yong-Deok Kim, Gunhee Kim, Sungroh Yoon, Sungjoo Yoo:
Big/little deep neural network for ultra low power inference. CODES+ISSS 2015: 124-132 - [c16]Jaekoo Lee, Gunn Kim, Sungroh Yoon:
Measuring Large-Scale Dynamic Graph Similarity by RICom: RWR with Intergraph Compression. ICDM 2015: 829-834 - [c15]Taehoon Lee, Sungroh Yoon:
Boosted Categorical Restricted Boltzmann Machine for Computational Prediction of Splice Junctions. ICML 2015: 2483-2492 - [i8]Sungmin Lee, Byunghan Lee, Sei Joon Kim, Sunyoung Kwon, Sungroh Yoon:
Will solid-state drives accelerate your bioinformatics? In-depth profiling, performance analysis, and beyond. CoRR abs/1502.02223 (2015) - [i7]Sungroh Yoon, Nahmsuk Oh, Peivand F. Tehrani, Eui-Young Chung, Giovanni De Micheli:
FRAME: Fast and Realistic Attacker Modeling and Evaluation for Temporal Logical Correlation in Static Noise. CoRR abs/1502.02236 (2015) - [i6]Eui-Young Chung, Chang-Il Son, Kwanhu Bang, Dong Kim, Soong-Mann Shin, Sungroh Yoon:
A High-Performance Solid-State Disk with Double-Data-Rate NAND Flash Memory. CoRR abs/1502.02239 (2015) - [i5]Taehoon Lee, Taesup Moon, Seung Jean Kim, Sungroh Yoon:
Regularization and Kernelization of the Maximin Correlation Approach. CoRR abs/1502.06105 (2015) - [i4]Byunghan Lee, Taesup Moon, Sungroh Yoon, Tsachy Weissman:
DUDE-Seq: Fast Universal Denoising of Nucleotide Sequences. CoRR abs/1511.04836 (2015) - [i3]Sunyoung Kwon, Gyuwan Kim, Byunghan Lee, Sungroh Yoon, Young-Han Kim:
NASCUP: Nucleic Acid Sequence Classification by Universal Probability. CoRR abs/1511.04944 (2015) - [i2]Taehoon Lee, Minsuk Choi, Sungroh Yoon:
Manifold Regularized Deep Neural Networks using Adversarial Examples. CoRR abs/1511.06381 (2015) - [i1]Byunghan Lee, Taehoon Lee, Byunggook Na, Sungroh Yoon:
DNA-Level Splice Junction Prediction using Deep Recurrent Neural Networks. CoRR abs/1512.05135 (2015) - 2014
- [j29]Sunyoung Kwon, Byunghan Lee, Sungroh Yoon:
CASPER: context-aware scheme for paired-end reads from high-throughput amplicon sequencing. BMC Bioinform. 15(S-9): S10 (2014) - [j28]Seunghak Yu, Sungroh Yoon, Eui-Young Chung, Hyuk-Jun Lee:
Design of a bitmap-based QoS-aware memory controller for a packet memory. IEICE Electron. Express 11(5): 20130983 (2014) - [j27]Bumjoon Seo, Sooyong Kang, Jongmoo Choi, Jaehyuk Cha, Youjip Won, Sungroh Yoon:
IO Workload Characterization Revisited: A Data-Mining Approach. IEEE Trans. Computers 63(12): 3026-3038 (2014) - [c14]Seunghak Yu, Juho Kim, Hyeyoung Min, Sungroh Yoon:
Ensemble learning for robust prediction of microRNA-mRNA interactions. BigComp 2014: 45-46 - [c13]Juho Kim, Seunghak Yu, Sungroh Yoon:
Ensemble algorithms for DNA motif finding. ICEIC 2014: 1-2 - [c12]Jinsoo Yoo, Youjip Won, Sooyong Kang, Jongmoo Choi, Sungroh Yoon, Jaehyuk Cha:
Analytical model of SSD parallelism. SIMULTECH 2014: 551-559 - 2013
- [j26]Yongkweon Jeon, Eesuk Jung, Hyeyoung Min, Eui-Young Chung, Sungroh Yoon:
GPU-based acceleration of an RNA tertiary structure prediction algorithm. Comput. Biol. Medicine 43(8): 1011-1022 (2013) - [j25]Hanjoo Kim, Pablo Cordero, Rhiju Das, Sungroh Yoon:
HiTRACE-Web: an online tool for robust analysis of high-throughput capillary electrophoresis. Nucleic Acids Res. 41(Webserver-Issue): 492-498 (2013) - [j24]Yongkweon Jeon, Joong-Ho Won, Sungroh Yoon:
Massively Parallel Energy Space Exploration for Uncluttered Visualization of Vascular Structures. IEEE Trans. Biomed. Eng. 60(1): 240-244 (2013) - [j23]Joong-Ho Won, Yongkweon Jeon, Jarrett Rosenberg, Sungroh Yoon, Geoffrey D. Rubin, Sandy Napel:
Uncluttered Single-Image Visualization of Vascular Structures Using GPU and Integer Programming. IEEE Trans. Vis. Comput. Graph. 19(1): 81-93 (2013) - [c11]Sunyoung Kwon, Seunghyun Park, Byunghan Lee, Sungroh Yoon:
In-depth analysis of interrelation between quality scores and real errors in illumina reads. EMBC 2013: 635-638 - [c10]Taehoon Lee, Sungmin Lee, Woo Young Sim, Yu Mi Jung, Sunmi Han, Chanil Chung, Jay Junkeun Chang, Hyeyoung Min, Sungroh Yoon:
Robust classification of DNA damage patterns in single cell gel electrophoresis. EMBC 2013: 3666-3669 - [c9]Jinsoo Yoo, Youjip Won, Joongwoo Hwang, Sooyong Kang, Jongmoo Choi, Sungroh Yoon, Jaehyuk Cha:
VSSIM: Virtual machine based SSD simulator. MSST 2013: 1-14 - 2012
- [j22]Jae-Beom Lee, Myoung-Jin Kim, Sungroh Yoon, Eui-Young Chung:
Application-Support Particle Filter for Dynamic Voltage Scaling of Multimedia Applications. IEEE Trans. Computers 61(9): 1256-1269 (2012) - [c8]Byunghan Lee, Joonhong Park, Sungroh Yoon:
Rapid and Robust Denoising of Pyrosequenced Amplicons for Metagenomics. ICDM 2012: 954-959 - [c7]Jonghwa Kim, Choonghyun Lee, Sang Yup Lee, Ikjoon Son, Jongmoo Choi, Sungroh Yoon, Hu-ung Lee, Sooyong Kang, Youjip Won, Jaehyuk Cha:
Deduplication in SSDs: Model and quantitative analysis. MSST 2012: 1-12 - 2011
- [j21]Changsoo Kim, Sungroh Yoon, Dongseung Kim:
Fast sort of floating-point data for data engineering. Adv. Eng. Softw. 42(1-2): 50-54 (2011) - [j20]Sungroh Yoon, Jinkyu Kim, Justine Hum, Hanjoo Kim, Seunghyun Park, Wipapat Kladwang, Rhiju Das:
HiTRACE: high-throughput robust analysis for capillary electrophoresis. Bioinform. 27(13): 1798-1805 (2011) - [j19]Kyung Won Kim, Jae Joon Park, Sungroh Yoon, Seong-Jun Oh:
Verification methodology for the IMT-Advanced channel simulator. IEICE Electron. Express 8(13): 994-1000 (2011) - [j18]Jinkyu Kim, Hanjoo Kim, Hyeyoung Min, Sungroh Yoon:
Constructing Accurate Contact Maps for Hydroxyl-Radical-Cleavage-Based High-Throughput RNA Structure Inference. IEEE Trans. Biomed. Eng. 58(5): 1347-1355 (2011) - [j17]Woohyung Chun, Sungroh Yoon, Sangjin Hong:
Energy-Aware Interconnect Resource Reduction Through Buffer Access Manipulation for Data-Centric Applications. IEEE Trans. Very Large Scale Integr. Syst. 19(5): 818-831 (2011) - [j16]Woohyung Chun, Sungroh Yoon, Sangjin Hong:
Buffer Controller-Based Multiple Processing Element Utilization for Dataflow Synthesis. IEEE Trans. Very Large Scale Integr. Syst. 19(7): 1249-1262 (2011) - [c6]Balgeun Yoo, Youjip Won, Seokhei Cho, Sooyong Kang, Jongmoo Choi, Sungroh Yoon:
SSD Characterization: From Energy Consumption's Perspective. HotStorage 2011 - 2010
- [j15]Dong Kim, Kwanhu Bang, Seung-Hwan Ha, Sungroh Yoon, Eui-Young Chung:
Architecture Exploration of High-Performance PCs with a Solid-State Disk. IEEE Trans. Computers 59(7): 878-890 (2010) - [j14]Seunghyun Park, Hanjoo Kim, Hichan Moon, Jun Heo, Sungroh Yoon:
Concurrent simulation platform for energy-aware smart metering systems. IEEE Trans. Consumer Electron. 56(3): 1918-1926 (2010) - [j13]Hichan Moon, Sungroh Yoon:
Numerically efficient algorithm for modified trellis approaches. IEEE Trans. Commun. 58(2): 385-389 (2010) - [c5]Minje Jun, Sungroh Yoon, Eui-Young Chung:
Exploiting multiple switch libraries in topology synthesis of on-chip interconnection network. DATE 2010: 1390-1395
2000 – 2009
- 2009
- [j12]Jinkyu Kim, Seunghak Yu, Byonghyo Shim, Hanjoo Kim, Hyeyoung Min, Eui-Young Chung, Rhiju Das, Sungroh Yoon:
A robust peak detection method for RNA structure inference by high-throughput contact mapping. Bioinform. 25(9): 1137-1144 (2009) - [j11]Byonghyo Shim, Hyeyoung Min, Sungroh Yoon:
Nonlinear preprocessing method for detecting peaks from gas chromatograms. BMC Bioinform. 10: 378 (2009) - [j10]Taehoon Lee, Seung Jean Kim, Eui-Young Chung, Sungroh Yoon:
K-maximin clustering: a maximin correlation approach to partition-based clustering. IEICE Electron. Express 6(17): 1205-1211 (2009) - [j9]Sunghoon Choi, Sungroh Yoon, Wonjin Sung, Hongkyu Kwon, Jun Heo:
A good puncturing scheme for rate compatible low-density parity-check codes. J. Commun. Networks 11(5): 455-463 (2009) - [j8]Myeongjin Kim, Eui-Young Chung, Sungroh Yoon:
High-Speed Post-Layout Logic Simulation Using Quasi-Static Clock Event Evaluation. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28(8): 1274-1278 (2009) - [j7]Sung-Yong Bang, Kwanhu Bang, Sungroh Yoon, Eui-Young Chung:
Run-Time Adaptive Workload Estimation for Dynamic Voltage Scaling. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 28(9): 1334-1347 (2009) - [j6]Kwangseok Noh, Sungroh Yoon, Jun Heo:
Performance analysis of network coding with raptor codes for IPTV. IEEE Trans. Consumer Electron. 55(1): 83-87 (2009) - 2008
- [j5]Elisa Ficarra, Giovanni De Micheli, Sungroh Yoon, Luca Benini, Enrico Macii:
Joint co-clustering: Co-clustering of genomic and clinical bioimaging data. Comput. Math. Appl. 55(5): 938-949 (2008) - 2007
- [j4]Sungroh Yoon, Jessica C. Ebert, Eui-Young Chung, Giovanni De Micheli, Russ B. Altman:
Clustering protein environments for function prediction: finding PROSITE motifs in 3D. BMC Bioinform. 8(S-4) (2007) - [j3]Sungroh Yoon, Luca Benini, Giovanni De Micheli:
Co-clustering: A Versatile Tool for Data Analysis in Biomedical Informatics. IEEE Trans. Inf. Technol. Biomed. 11(4): 493-494 (2007) - 2006
- [j2]Sungroh Yoon, Luca Benini, Giovanni De Micheli:
A Pattern-Mining Method for High-Throughput Lab-on-a-Chip Data Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 25(2): 358-377 (2006) - [c4]Sungroh Yoon, Abhishek Garg, Eui-Young Chung, Hyun Seok Park, Woong-Yang Park, Giovanni De Micheli:
Exploiting Binary Abstractions in Deciphering Gene Interactions. EMBC 2006: 5858-5863 - [c3]Christine Nardini, Daniele Masotti, Sungroh Yoon, Enrico Macii, Michael D. Kuo, Giovanni De Micheli, Luca Benini:
Mining Gene Sets for Measuring Similarities. ISCC 2006: 227-232 - 2005
- [j1]Sungroh Yoon, Christine Nardini, Luca Benini, Giovanni De Micheli:
Discovering Coherent Biclusters from Gene Expression Data Using Zero-Suppressed Binary Decision Diagrams. IEEE ACM Trans. Comput. Biol. Bioinform. 2(4): 339-354 (2005) - [c2]Sungroh Yoon, Giovanni De Micheli:
Prediction of regulatory modules comprising microRNAs and target genes. ECCB/JBI 2005: 100 - 2004
- [c1]Sungroh Yoon, Christine Nardini, Luca Benini, Giovanni De Micheli:
Enhanced pClustering and Its Applications to Gene Expression Data. BIBE 2004: 275-282
Coauthor Index
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