Projects


  • 2020년도 정기통계품질진단 (2020.3 ~ 2020.12)

  • 한국연구재단 우수신진연구과제 (2020.3 ~ 2023.2)
        Deep Learning Applications in Voice Security (딥러닝을 활용한 음성보안 문제 연구)

  • 한국연구재단 중견연구 / 신진후속 과제 (2023.3 ~ 2026.2)
        Voice Spoofing Detection using Deep Learning (딥러닝을 이용한 음성위조탐지 기술 연구)

  • Publications


    2024

    Choi S, Chung S, Lee S, Han S, Kang T, Seo J, Kwak IY*, Oh S (2024) TB-ResNet: Bridging the Gap from TDNN to ResNet in Automatic Speaker Verification with Temporal-Bottleneck Enhancement, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), COEX, Seoul, Korea.
    [ IEEE Xplore | pdf ]

    Kwak IY*, Kim KS, Min HJ (2024) Association of gustatory dysfunction and Alzheimer's disease: a systematic review and meta-analysis, Rhinology, 62(2), 130-142.
    [ PubMed ]

    Kwak IY*, Kim B, Lee J, Kang T, Garry JD, Zhang J, Gong W (2024) Proformer: a hybrid macaron transformer model predicts expression values from promoter sequences, BMC Bioinformatics, 25, 81.
    [ PubMed | pdf ]

    Rafi AM, Nogina D, Penzar D, Lee D, Lee D, Kim N, Kim S, Kim D, Shin Y, Kwak IY, Meshcheryakov G, Lando A, Zinkevich A, Kim B, Lee J, Kang T, Vaishnav ED, Yadollahpour P, Kim S, Albrecht J, Regev A, Gong W, Kulakovskiy I, Mayer P, (2024+) A community effort to optimize sequence-based deep learning models of gene regulation, Nature Biotechnology, Online First, [ PubMed | pdf ]

    Han S, Kang T, Lee J, Kim N, Won H, Kim YH, Gong W, Kwak IY* (2024) A Deep Neural Network Approach to Heart Murmur Detection Using Spectrogram and Peak Interval Features, Engineering Applications of Artificial Intelligence, 137, 109156. [ Link | pdf ]

    Kim H, Kim B, Lee S, Kang M, Nam H, Park S, Kwak IY, Lee J (2024) RAPID: Robust multi-pAtch masker using channel-wise Pooled varIance with two-stage patch Detection, Journal of King Saud University - Computer and Information Sciences, 192188. [ Link | pdf ]

    2023

    Lee Y, Kim N, Jeong J, Kwak IY* (2023) Experimental Case Study of Self-supervised Learning for Voice Spoofing Detection, IEEE Access, 11, 24216-24226
    [ IEEE Xplore | pdf ]

    Park YB, Kim H, Lee HJ, Baek SH, Kwak IY, Kim SH (2023) The Clinical Application of Machine Learning Models for Risk Analysis of Ramp Lesions in Anterior Cruciate Ligament Injuries, The American Journal of Sports Medicine, 51(1), 107-118.
    [ PubMed | pdf ]

    Kwak IY*, Kim KS, Min HJ (2023) Gustatory dysfunction is related to Parkinson's disease: A systematic review and meta‐analysis, International Forum of Allergy & Rhinology , 13(10), 1949-1957.
    [ PubMed | pdf ]

    Kwak IY*, Kwag S, Lee J, Jeon Y, Hwang J, Choi HJ, Yang JH, Han SY, Huh JH, Lee CH, Yoon JW (2023) Voice Spoofing Detection through Residual Network, Max Feature Map, and Depthwise Separable Convolution, IEEE Access, 11, 49140-49152
    [ IEEE Xplore | pdf ]

    Won H, Kim B, Kwak IY*, Lim C (2023) Using various pre-trained models for audio feature extraction in automated audio captioning, Expert Systems with Applications, 231(30), 120664
    [ Link | pdf ]

    Han S, Kang T, Choi S, Seo J, Chung S, Lee S, Oh S, Kwak IY* (2023) CAU KU deep fake detection system for ADD 2023 challenge, The 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023, Workshop on Deepfake Audio Detection and Analysis), Macao SAR, China.
    [ pdf ]

    Han S, Jeon W, Gong W,Kwak IY* (2023) MCHeart: Multi-Channel-Based Heart Signal Processing Scheme for Heart Noise Detection Using Deep Learning, Biology, 12(10), 1291
    [ Link | pdf ]

    2022

    Gong W, Kim H, Garry D, Kwak IY* (2022) Single cell lineage reconstruction using distance-based algorithms and the R package, DCLEAR BMC Bioinformatics, 23(1), 1-14
    [ PubMed |R/DCLEAR software | pdf ]

    Yang J, Choi S, Lee Y, Oh S, Kwak IY* (2022) Light-Weight Frequency Information Aware Neural Network Architecture for Voice Spoofing Detection, 26th International Conference on Pattern Recognition (ICPR 2022), Montréal Québec, Canada.
    [ IEEE Xplore | pdf ]

    Choi S, Kwak IY, Oh S (2022) Overlapped Frequency-Distributed Network: Frequency-Aware Voice Spoofing Countermeasure, Interspeech 2022, Incheon, Korea.
    [ Link | pdf ]

    Kwak IY*, Choi S, Yang J, Lee Y, Oh S (2022) Low-quality Fake Audio Detection through Frequency Feature Masking, 30th ACM International Conference on Multimedia (ACM MM 2022, Workshop on Deepfake Detection for Audio Multimedia), Lisbon, Portugal.
    [ ACM DL | pdf ]

    Lee J, Kang T, Kim N, Han S, Won H, Gong W, Kwak IY* (2022) Deep Learning Based Heart Murmur Detection using Frequency-time Domain Features of Heartbeat Sounds, The 49th Computing in Cardiology conference (CinC 2022), Tampere, Finland.
    [ IEEE Xplore | pdf ]

    Yoshihara T, Miller ND, Rabanal FA, Myles H, Kwak IY, Broman KW, Boris S, Ivan B, Brian PD, Matthew EH, Edgar PS (2022) Leveraging orthology within maize and Arabidopsis QTL to identify genes affecting natural variation in gravitropism, Proceedings of the National Academy of Sciences of the United States of America, 119 (40) e2212199119.
    [ PubMed | pdf ]

    Choi H, Jung C, Kang T, Kim H, Kwak IY* (2022) Explainable Time-series Prediction using a Residual Network and Gradient-based Methods, IEEE Access, 10, 108469 - 108482
    [ IEEE Xplore | pdf ]

    Kwak IY*, Kim KS, Min HJ (2022) Differential effect of meteorological factors and particulate matter with ≤ 10-µm diameter on epistaxis in younger and older children, Scientific Reports, 12, 21029.
    [ PubMed | pdf ]

    2021

    Kwak IY*, Kwag S, Lee J, Huh JH, Lee CH, Jeon Y, Hwang J, Yoon J (2021) ResMax: Detecting Voice Spoofing Attacks with Residual Network and Max Feature Map The 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy, 2021, 4837-4844
    [ IEEE Xplore | pdf ]

    Lee Y, Lim S, Kwak IY* (2021) CNN-Based Acoustic Scene Classification System, Electronics, 10(4), 371,
    [Link | pdf]

    Kim K, Kwak IY, Min H (2021) Particulate Matter 10 (PM10) Is Associated with Epistaxis in Children and Adults, International Journal of Environmental Research and Public Health, 18(9), 4809,
    [PubMed | pdf]

    Gong W, Granados A, Hu J, Jones M, Raz O, Martinez IS, Zhang H, Chow KK, Kwak IY, Retkute R, Prusokas A, Prusokas A, Khodaverdian A, Zhang R, Wang R, Rao S, Rennert P, Saipradeep V, Naveen S, Joseph T, Rao A, Srinivasan R, Peng J, Han L, Shang X, Garry DJ, Yu T, Chung V, Mason M, Liu Z, Guan Y, Yosef N, Shendure J, Telford M, Shapiro E, Elowitz MB, Meyer P. (2021) Benchmarked approaches for cell lineage reconstructions of in vitro dividing cells and in silico models of Caenorhabditis elegans and Mus musculus developmental trees, Cell Systems, 12, 1-17.
    [PubMed | R/DCLEAR software | pdf]

    Park J, Kwak IY, Lim C (2021) A Deep Learning Model with Self-Supervised Learning and Attention Mechanism for COVID-19 Diagnosis Using Chest X-ray Images, Electronics, 10(16), 1996,
    [Link | pdf]

    Won H, Kim B, Kwak IY*, Lim C (2021) Transfer Learning followed by Transformer for Automated Audio Captioning, Proceedings of the 6th Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021) , Online.
    [ Video | pdf]

    2020

    Yoon HY, Kwak IY (2020) Association Modeling on Keyword and Abstract Data in Korean Port Research, Journal of Korea Trade, 25 (5), 71-86
    [Link | pdf]

    Ahmed E, Kwak IY, Huh JH, Kim I, Oh T, Kim H (2020) Void: A fast and light voice liveness detection system. The 29th USENIX Security Symposium (USENIX Security), Boston, USA, 2020
    [Link | pdf]

    2019

    Kwak IY*, Huh J, Kim I, Han S, Yoon J. (2019) Voice Presentation Attack Detection through Text Converted Voice Command Analysis, Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI 2019) Paper No. 598. Glassgow, UK, 2020
    [Digital Library | pdf]

    Magli A, Baik J, Pota P, Cordero CO, Kwak IY, Garry DJ, Love PE, Dynlacht BD, Perlingeiro R (2019) Pax3 cooperates with Ldb1 to direct local chromosome architecture during myogenic lineage specification, Nature Communications, 10, 2316
    [PubMed | pdf]

    Magli A, Baik J, Mills LJ, Kwak IY, Dillon BS, Gonzalez RM, Stafford DA, Swanson SA, Stewart R, Thomson JA, Garry DJ, Dynlacht BD, Perlingeiro R (2019) Time-dependent Pax3-mediated chromatin remodeling and cooperation with Six4 and Tead2 specify the skeletal myogenic lineage in developing mesoderm, PLoS biology, 17 (2), e3000153
    [PubMed | pdf]

    2018

    Gong W, Kwak IY*, Pota P, Koyano-Nakagawa N, Garry DJ. (2018) DrImpute: imputing dropout events in single cell RNA sequencing data, BMC Bioinformatics 19:220
    [R/DrImpute software | pdf]

    Gong W, Kwak IY, Koyano-Nakagawa N, Pan W, Garry DJ. (2018) TCM visualizes trajectories and cell populations from single cell data. Nature Communications. 9(1), 2749
    [R/tcm software | pdf]

    2017

    Kwak IY*, Pan W. (2017) Gene- and pathway-based association tests for multiple traits with GWAS summary statistics, Bioinformatics, 33(1), 64-71
    [PubMed | R/aSPU software | pdf]

    Chen Z, Zhu W, Bender I, Gong W, Kwak IY, Yellamilli A, Hodges TJ, Nemoto N, Zhang J, Garry DJ, Berlo JH (2017) Pathologic Stimulus Determines Lineage Commitment of Cardiac C-kit+ Cells. Circulation, circulationaha. 117.030137
    [pdf]

    2016

    Wei P, Cao Y, Zhang Y, Kwak IY, Xu Z, Crosby J, Boerwinkle E, Pan W. (2016) On Robust Association Testing for Quantitative Traits and Rare Variants. G3 6(12), 3941-3950
    [pdf]

    Kwak IY*, Pan W. (2016) Adaptive gene- and pathway-trait association testing with GWAS summary statistics. Bioinformatics, 32(8):1178-1184
    [PubMed | R/aSPU software | pdf]

    2015

    Pan W, Kwak IY, Wei P. (2015) A powerful pathway-based adaptive test for genetic association with common or rare variants. The American Journal of Human Genetics, 97(1):86-98
    [PubMed | R/aSPU software | pdf (1.5M)]

    Kwak IY*, Moore CR, Spalding EP, Broman KW. (2015) Mapping quantitative trait loci underlying function-valued traits using functional principal component analysis and multi-trait mapping. G3, 6(1):79-86
    [PubMed | R/funqtl software | pdf ]

    2014

    Kwak IY*, Moore CR, Spalding EP,Broman KW. (2014) A simple regression-based method to map quantitative trait loci underlying function-valued phenotypes. Genetics, 197(4):1409-1416
    [PubMed | R/funqtl software | pdf (1.2M)]

    2013

    Moore CR, Johnson LS, Kwak IY, Livny M, Broman KW, Spalding EP (2013) High-throughput computer vision introduces the time axis to a quantitative trait map of a plant growth response. Genetics 195(3):1077-1086
    [PubMed | pdf (1.6M)]

    2010

    Billings T, Sargent EE, Szatkiewicz JP, Leahy N, Kwak IY, Bektassova N, Walker M, Hassold T, Graber JH, Broman KW, Petkov PM (2010) Patterns of recombination activity on mouse chromosome 11 revealed by high resolution mapping. PLoS One 5:e15340
    [PubMed | pdf (483k)]

    2008

    Kwak IY* and Huh MH (2008) Parallel Coordinate Plots of Mixed-Type Data. The Korean Communications in Statistics 15, 587 - 595
    [R/APCP software | pdf (578k)]

    Kwak IY* and Huh MH (2008) Andrews’ Plots for Extended Uses. The Korean Communications in Statistics 15, 87 - 94
    [R/APCP software | pdf (479k)]


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