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• 연구관심분야 : Machine Learning for Healthcare, Tensor Analysis, and Bioinformatics (연구실 산학원 602호)
• 홈페이지 : https://leesael.github.io , http://dilab.ajou.ac.kr/

[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  

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

1. [논문] 윤정노, 이슬, Document Re-Ranking With Evidential Neural Networks , IEEE Access , pp.161964 -161972 (Sep, 2025)
2. [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 (Dec, 2023)
3. [논문] 함경표, 이슬, Evidential meta-model for molecular property prediction , BIOINFORMATICS , Vol.10 , pp.1 -7 (Oct, 2023)
4. [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 (Aug, 2023)
5. [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 (May, 2022)
6. [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 (Apr, 2022)
7. [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 (Jan, 2022)
8. [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 (Nov, 2021)
9. [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 (Jul, 2021)
10. [논문] 유재민, 이슬, Gaussian Soft Decision Trees for Interpretable Feature-Based Classification , LECTURE NOTES IN COMPUTER SCIENCE , pp.143 -155 (May, 2021)
11. [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 (Dec, 2020)
12. [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 (Nov, 2020)
13. [논문] 정진홍, 이슬, Fast and accurate pseudoinverse with sparse matrix reordering and incremental approach , MACHINE LEARNING , Vol.12 , No.0 , pp.2333 -2347 (Oct, 2020)
14. [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 (Jul, 2020)

1. [학술회의] 문혜원, 이슬, 한예원, 윤형진, Tensor-based Unsupervised Anomaly Detection inMulti-Aspect Bio-signals , The 18th International Conference on Data and Text Mining in Biomedical Informatics (Dec, 2024)
2. [학술회의] 한예원, 이슬, Efficient Differential Latent Network Analysis: Applications to Colon Cancer , The 18th International Conference on Data and Text Mining in Biomedical Informatics (Dec, 2024)
3. [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 (Oct, 2022)
4. [학술회의] 유재민, 이슬, Transition Matrix Representation of Trees with Transposed Convolutions , The 2022 SIAM International Conference on Data Mining (SDM) , pp.154 -162 (Apr, 2022)
5. [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 (Jan, 2022)
6. [학술회의] 박진준, 이슬, Benchmarking Deep Graph Models for Large Molecular Generation , 2022 IEEE International Conference on Big Data and Smart Computing , pp.114 -120 (Jan, 2022)
7. [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 (May, 2021)
8. [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) (Jan, 2021)
9. [학술회의] 유재민, 이슬, EDiT: Interpreting Ensemble Models via Compact Soft Decision Trees , IEEE International Conference on Data Mining (ICDM) (Dec, 2019)

1. [학술회의] 문혜원, 이슬, Tensor-based Anomaly Detection and Visualization by Influence , Korea Computer Congress (KCC 2023) (Jun, 2023)
2. [학술회의] 한상민, 이슬, Problems and Solutions in Medical Image Segmentation , Korea Computer Congress (KCC 2023) (Jun, 2023)
3. [학술회의] 윤정노, 이슬, 허욱, Uncertainty-Aware Query-Document Text Classification , Korea Computer Congress (KCC 2023) (Jun, 2023)

1. [특허] 이슬, 건물 하자 이미지 생성 장치 및 방법 (출원) (10-2020-0126631) (Sep, 2020)