이성주 사진
이성주
  • 학위: 박사
  • 연구실 : 한누리관 (I615)
  • 연락처 : 041-550-5248
  • 세부전공 : 기계학습 및 지식처리
홈 이메일
학위
  • 박사, 고려대학교 전산학과 (세부전공 : 정보보안및알고리즘), 201202
  • 석사, 고려대학교 전산학과 (세부전공 : 전산과학), 200802
  • 학사, 고려대학교 전산학과, 200602
경력
  • 교수, 상명대학교, (2020.03~ )
  • 조교수, 고려대학교, (2015.03~2019.02)
  • BK21연구교수, 고려대학교, (2013.09~2015.02)
  • 연구교수, 고려대학교, (2012.03~2013.08)
논문
  • Personalized Federated Transfer Learning for Building Energy Forecasting via Model Ensemble with Multi-Level Masking in Heterogeneous Sensing Environment, ELECTRONICS, 202504
  • A Study on Staging Cystic Echinococcosis Using Machine Learning Methods, BIOENGINEERING-BASEL, 202502
  • HYLR-FO: Hybrid Approach Using Language Models and Rule-Based Systems for On-Device Food Ordering, ELECTRONICS, 202502
  • Augmenting Knowledge for Individual NVR Prediction in Different Spatial and Temporal Cross-Building Environments, ELECTRONICS, 202408
  • SAFP-YOLO: Enhanced Object Detection Speed Using Spatial Attention-Based Filter Pruning, APPLIED SCIENCES-BASEL, 202310
  • Deep Learning and Geometry Flow Vector Using Estimating Vehicle Cuboid Technology in a Monovision Environment, SENSORS, 202309
  • Deep-Learning-Based Natural Ventilation Rate Prediction with Auxiliary Data in Mismeasurement Sensing Environments, ELECTRONICS, 202308
  • Time Series Prediction Methodology and Ensemble Model Using Real-World Data, ELECTRONICS, 202307
  • Large-Scale Distributed System and Design Methodology for Real-Time Cluster Services and Environments, ELECTRONICS, 202212
  • StaticPigDet: Accuracy Improvement of Static Camera-Based Pig Monitoring Using Background and Facility Information, SENSORS, 202211
  • Vision-Based Pedestrian's Crossing Risky Behavior Extraction and Analysis for Intelligent Mobility Safety System, SENSORS, 202205
  • Power Transformer Voltages Classification with Acoustic Signal in Various Noisy Environments, SENSORS, 202202
  • EnsemblePigDet: Ensemble Deep Learning for Accurate Pig Detection, APPLIED SCIENCES-BASEL, 202106
  • EmbeddedPigDet-Fast and Accurate Pig Detection for Embedded Board Implementations, APPLIED SCIENCES-BASEL, 202002
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