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아주대학교 소프트웨어융합대학

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소프트웨어학과

대학소프트웨어융합대학소프트웨어학과

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이슬Sael Lee

  • 소속 소프트웨어학과
  • 연구실산학협력원
  • 이메일 sael@ajou.ac.kr
  • 내선번호3839

관심분야

  • Machine Learning for Healthcare, Tensor Analysis, and Bioinformatics (연구실 산학원 602호)

학력

  • 2010.08 Purdue Univ-West Lafayette 박사

경력

    [2019 ~ ] 아주대학교 소프트웨어학과/인공지능학과 부교수
[2012 - 2018] 한국뉴욕주립대 (Stonybrook University) 컴퓨터학과 조교수
[2011 - 2012] 삼성종합기술원 Future IT Research Center 전문연구원
[2010 - 2011] Purdue University, 박사후연구원

대표논문

  • [논문] 정진홍, 이슬, Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach, MACHINE LEARNING, Vol.12, No.0, pp. 2333-2347 (10월, 2020)

연구활동

  • [논문] 이상석, 문혜원, 이슬, Block Incremental Dense Tucker Decomposition with Application to Spatialand Temporal Analysis of Air Quality Data, CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, No.1, pp. 319-336 (12월, 2023)
  • [논문] 함경표, 이슬, Evidential meta-model for molecular property prediction, BIOINFORMATICS, Vol.10, pp. 1-7 (10월, 2023)
  • [논문] Hyeonseong Jeon, Junhak Ahn, 이슬, Sun Kim, Byunggook Na, Soona Hong, Sungroh Yoon , Daehyun Baek, AIVariant: a deep learning-based somatic variant detector for highly contaminated tumor samples, EXPERIMENTAL AND MOLECULAR MEDICINE, pp. 1734-1742 (8월, 2023)
  • [논문] Jun-Gi Jang, Moonjeong Park, Jongwuk Lee, 이슬, Large‑scale tucker Tensor factorization for sparse and accurate decomposition, JOURNAL OF SUPERCOMPUTING, pp. 1-31 (5월, 2022)
  • [논문] Jae-woong Lee, 이슬, Hyunjung Shim, Minjin Choi, Jongwuk Lee, Knowledge distillation meets recommendation: collaborative distillation for top-N recommendation, KNOWLEDGE AND INFORMATION SYSTEMS, Vol.5, pp. 1323-1348 (4월, 2022)
  • [논문] 이슬, Chirag R. Kharangate, Daewoong Jung, Eunho Cho, Geonhee Lee , Haeun Lee, Huiun Ha , Minsoo Kang , Sun Huh , Hyoungsoon Lee, A neural network model for free-falling condensation heat transfer in the presence of non-condensable gases, INTERNATIONAL JOURNAL OF THERMAL SCIENCES, pp. 1-17 (1월, 2022)
  • [논문] 이슬, Simon Lovestone, Ah Ra Do, Andrew J Saykin, Byeong C Kim, Donghe Li, Dongsoo Lee, Eunae Kim, Gyun Jee Song, Gyungah R Jun, Hoowon Kim, Immanuel Dhanasingh, Jang Jae Lee, Jee Hye Choi, Jinyeon Jo, Juhong Park, Jun Young Park, Jungsoo Gim, Kwangsik Nho, Kyu Yeong Choi, Kyungtaek Park, Lindsay A Farrer, SangYun Kim, Sanghun Lee, Sangmyung Rhee, Sarang Kang, Seula Keum, Seung Hwan Moon, Sung Haeng Lee, Sungho Won, Suparna Ghosh, Tamil Iniyan Gunasekaran, Kun Ho Lee, A missense variant in SHARPIN mediates Alzheimer’s disease-specific brain damages, TRANSLATIONAL PSYCHIATRY, pp. 1-9 (11월, 2021)
  • [논문] Haeun Lee, 이슬, Chirag R Kharangate, Chris Malone, Kenneth E Goodson, Ki Wook Jung, Madhusudan Iyengar, Mehdi Asheghi, Minsoo Kang, Hyoungsoon Lee, An artificial neural network model for predicting frictional pressure drop in micro-pin fin heat sink, APPLIED THERMAL ENGINEERING, pp. 117012-117012 (7월, 2021)
  • [논문] 유재민, 이슬, Gaussian Soft Decision Trees for Interpretable Feature-Based Classification, LECTURE NOTES IN COMPUTER SCIENCE, pp. 143-155 (5월, 2021)
  • [논문] Hyun Kyu Shin, 이슬, 이시운, Goo Pyo Hong, Sang Hyo Lee, Ha Young Kim, Defect-Detection Model for Underground Parking Lots Using Image Object-Detection Method, CMC-COMPUTERS MATERIALS & CONTINUA, Vol.3, pp. 2493-2507 (12월, 2020)
  • [논문] 이기수, 이슬, 홍구표, 김하영, 이상효, MultiDefectNet: Multi-Class Defect Detection of Building Façade Based on Deep Convolutional Neural Network, SUSTAINABILITY, Vol.22, No.0, pp. 1-14 (11월, 2020)
  • [논문] 정진홍, 이슬, Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach, MACHINE LEARNING, Vol.12, No.0, pp. 2333-2347 (10월, 2020)
  • [논문] 오정훈, 최윤진, 이슬, 강성주, 김원지, 김주성, 박용택, 신철민, 안현주, 원성호, 이동호, 이선민, 이세정, 이혜승, 장동남, 한병우, 김나영, Family-based exome sequencing combined with linkage analyses identifies raresusceptibility variants of MUC4 for gastriccancer, PLoS ONE, Vol.7, No.0, pp. 1-17 (7월, 2020)
해당 데이터는 존재하지 않습니다.
  • [학술회의] 윤정노, 함경표, 이슬, Towards Accurate and Certain Molecular Properties Prediction, 2022 13th International Conference on Information and Communication Technology Convergence (ICTC), pp. 1621-1624 (10월, 2022)
  • [학술회의] 유재민, 이슬, Transition Matrix Representation of Trees with Transposed Convolutions, The 2022 SIAM International Conference on Data Mining (SDM), pp. 154-162 (4월, 2022)
  • [학술회의] 박진준, 이슬, Benchmarking Deep Graph Models for Large Molecular Generation, 2022 IEEE International Conference on Big Data and Smart Computing, pp. 114-120 (1월, 2022)
  • [학술회의] 손희수, 이상석, 이슬, Cross-Attention Model for Multi-modal Bio-Signal Processing, 2022 IEEE International Conference on Big Data and Smart Computing, pp. 43-46 (1월, 2022)
  • [학술회의] 유재민, 이슬, Gaussian Soft Decision Trees for Interpretable Feature-Based Classification, The 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2021, (5월, 2021)
  • [학술회의] Jun-Gi Jang, Moonjeong Park, 이슬, VeST: Very sparse tucker factorization of large-scale tensors, 2021 IEEE International Conference on Big Data and Smart Computing (BigComp), (1월, 2021)
  • [학술회의] 유재민, 이슬, EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees, IEEE International Conference on Data Mining (ICDM), (12월, 2019)
  • [학술회의] 한상민, 이슬, Problems and Solutions in Medical Image Segmentation, Korea Computer Congress (KCC 2023), (6월, 2023)
  • [학술회의] 윤정노, 이슬, 허욱, Uncertainty-Aware Query-Document Text Classification, Korea Computer Congress (KCC 2023), (6월, 2023)
  • [학술회의] 문혜원, 이슬, Tensor-based Anomaly Detection and Visualization by Influence, Korea Computer Congress (KCC 2023), (6월, 2023)
해당 데이터는 존재하지 않습니다.

특허 및 기타

  • [특허] 이슬, 건물 하자 이미지 생성 장치 및 방법, 특허, (출원) (10-2020-0126631) (9월, 2020)