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Showing results 1 to 28 of 28

Issue Date	Title / Author(s) / Citation	File
2012-09	Application-Support Particle Filter for Dynamic Voltage Scaling of Multimedia Applications Lee, Jae-Beom; Kim, Myoung-Jin; Yoon, Sungroh; Chung, Eui-Young IEEE TRANSACTIONS ON COMPUTERS Vol.61 No.9, pp. 1256-1269	DOI
2012-09	Application-Support Particle Filter for Dynamic Voltage Scaling of Multimedia Applications Lee, Jae-Beom; Kim, Myoung-Jin; Yoon, Sungroh; Chung, Eui-Young IEEE Transactions on Computers, Vol.61 No.9, pp.1256-1269	DOI
2014-09	CASPER: context-aware scheme for paired-end reads from high-throughput amplicon sequencing Kwon, Sunyoung; Lee, Byunghan; Yoon, Sungroh BMC Bioinformatics, 15(Suppl 9):S10	view file DOI
2015	FingerNet: Deep Learning-Based Robust Finger Joint Detection from Radiographs Lee, Sungmin; Choi, Minsuk; Choi, Hyun-soo; Park, Moon Seok; Yoon, Sungroh 2015 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS), pp.620-623
2018-02	HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment Lee, Taehoon; Lee, Sungmin; Sim, Woo Young; Jung, Yu Mi; Han, Sunmi; Won, Joong-Ho; Min, Hyeyoung; Yoon, Sungroh BMC Bioinformatics, 19(Suppl 1):44	view file DOI
2018-03	hc-OTU: A fast and accurate method for clustering operational taxonomic units based on homopolymer compaction Park, Seunghyun; Choi, Hyun-soo; Lee, Byunghan; Chun, Jongsik; Won, Joong-Ho; Yoon, Sungroh IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol.15 No.2, pp.441-451	DOI
2018-05	Correction to: HiComet: a high-throughput comet analysis tool for large-scale DNA damage assessment Lee, Taehoon; Lee, Sungmin; Sim, Woo Y; Jung, Yu M; Han, Sunmi; Won, Joong-Ho; Min, Hyeyoung; Yoon, Sungroh BMC Bioinformatics, 19(1):170	view file DOI
2018-10	Deep learning based low-cost high-accuracy diagnostic framework for dementia using comprehensive neuropsychological assessment profiles Choi, Hyun-Soo; Choe, Jin Yeong; Kim, Hanjoo; Han, Ji Won; Chi, Yeon Kyung; Kim, Kayoung; Hong, Jongwoo; Kim, Taehyun; Kim, Tae Hui; Yoon, Sungroh; Kim, Ki Woong BMC Geriatrics, 18(1):234	view file DOI
2019-02	Frame-to-Frame Aggregation of Active Regions in Web Videos for Weakly Supervised Semantic Segmentation Lee, Jungbeom; Kim, Eunji; Lee, Sungmin; Lee, Jangho; Yoon, Sungroh 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), pp.6807-6817	DOI
2019-05	Real-Time Anomalous Branch Behavior Inference with a GPU-inspired Engine for Machine Learning Models Oh, Hyunyoung; Yi, Hayoon; Choe, Hyeokjun; Cho, Yeongpil; Yoon, Sungroh; Paek, Yunheung 2019 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE), pp.908-913	DOI
2019-05	Energy-Efficient Inference Accelerator for Memory-Augmented Neural Networks on an FPGA Park, Seongsik; Jang, Jaehee; Kim, Seijoon; Yoon, Sungroh 2019 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE), pp.1587-1590	DOI
2019-06	FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference Lee, Jungbeom; Kim, Eunji; Lee, Sungmin; Lee, Jangho; Yoon, Sungroh 2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019), pp.5262-5271	DOI
2019-06	Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks Park, Seongsik; Kim, Seijoon; Choe, Hyeokjun; Yoon, Sungroh PROCEEDINGS OF THE 2019 56TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC), pp.1-6	DOI
2019-06	FloWaveNet : A Generative Flow for Raw Audio Kim, Sungwon; Lee, Sang-gil; Song, Jongyoon; Kim, Jaehyeon; Yoon, Sungroh INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 97, Vol.97
2019-06	HexaGAN: Generative Adversarial Nets for Real World Classification Hwang, Uiwon; Jung, Dahuin; Yoon, Sungroh INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 97, Vol.97, pp.5206-5215
2019-10	Comprehensive ensemble in QSAR prediction for drug discovery Kwon, Sunyoung; Bae, Ho; Jo, Jeonghee; Yoon, Sungroh BMC Bioinformatics, 20(1):521	view file link
2019-11	Prediction of Drug Classes with a Deep Neural Network using Drug Targets and Chemical Structure Data Jo, Jeonghee; Choi, Hyun-Soo; Yoon, Sungroh 2019 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), pp.664-667	DOI
2020-01	AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data Bae, Ho; Jung, Dahuin; Choi, Hyun-Soo; Yoon, Sungroh PACIFIC SYMPOSIUM ON BIOCOMPUTING 2020, pp.563-574
2020-03	Energy-aware Placement for SRAM-NVM Hybrid FPGAs Park, Seongsik; Kim, Jongwan; Yoon, Sungroh PROCEEDINGS OF THE 2020 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2020), pp.858-863	DOI
2020-06	Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Lee, Saehyung; Lee, Hyungyu; Yoon, Sungroh 2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), pp.269-278	DOI
2020-07	Blood Pressure Prediction by a Smartphone Sensor using Fully Convolutional Networks Baek, Sanghyun; Jang, Jiyong; Cho, Sung-Hwan; Choi, Jong Min; Yoon, Sungroh 42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, pp.188-191	DOI
2020-07	T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding Park, Seongsik; Kim, Seijoon; Na, Byunggook; Yoon, Sungroh PROCEEDINGS OF THE 2020 57TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC), p. 9218689	DOI
2021	Noise-Robust Deep Spiking Neural Networks with Temporal Information Park, Seongsik; Lee, Dongjin; Yoon, Sungroh 2021 58TH ACM/IEEE DESIGN AUTOMATION CONFERENCE (DAC), pp.373-378	DOI
2022-01	Prediction of clinically significant prostate cancer using polygenic risk models in Asians Song, Sang Hun; Kim, Eunae; Woo, Eunjin; Kwon, Eunkyung; Yoon, Sungroh; Kim, Jung Kwon; Lee, Hakmin; Oh, Jong Jin; Lee, Sangchul; Hong, Sung Kyu; Byun, Seok-Soo Investigative and Clinical Urology, Vol.63 No.1, pp.42-52	DOI
2022-05	Membership Feature Disentanglement Network Ha, Heonseok; Jang, Jaehee; Jeong, Yonghyun; Yoon, Sungroh ASIA CCS 2022 - Proceedings of the 2022 ACM Asia Conference on Computer and Communications Security, pp.364-376	DOI
2022-05	Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings Yu, Sangwon; Song, Jongyoon; Kim, Heeseung; Lee, Seong-min; Ryu, Woo-Jong; Yoon, Sungroh PROCEEDINGS OF THE 60TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2022), VOL 1: (LONG PAPERS), pp.29-45
2022-08	Data Embedding Scheme for Efficient Program Behavior Modeling With Neural Networks Ahn, Sunwoo; Yi, Hayoon; Bae, Ho; Yoon, Sungroh; Paek, Yunheung IEEE Transactions on Emerging Topics in Computational Intelligence, Vol.6 No.4, pp.982-993	DOI
2022-08	Imbalanced Data Classification via Cooperative Interaction Between Classifier and Generator Choi, Hyun-Soo; Jung, Dahuin; Kim, Siwon; Yoon, Sungroh IEEE Transactions on Neural Networks and Learning Systems, Vol.33 No.8, pp.3343-3356	DOI