DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting K Lee, W Rhee Transportation Research Part C: Emerging Technologies 134, 103466, 2022 | 113 | 2022 |
Short-term traffic prediction with deep neural networks: A survey K Lee, M Eo, E Jung, Y Yoon, W Rhee IEEE Access 9, 54739-54756, 2021 | 71 | 2021 |
Defining virtual control group to improve customer baseline load calculation of residential demand response E Lee, K Lee, H Lee, E Kim, W Rhee Applied Energy 250, 946-958, 2019 | 33 | 2019 |
Assuring explainability on demand response targeting via credit scoring K Lee, H Lee, H Lee, Y Yoon, E Lee, W Rhee Energy 161, 670-679, 2018 | 8 | 2018 |
Extended TAM Analysis of a Residential DR Pilot Program E Jung, K Lee, H Kim, S Jeong, H Lee, B Suh, W Rhee Journal of the HCI Society of Korea 12 (4), 65-73, 2017 | 6* | 2017 |
Statistical Characteristics of Deep Representations: An Empirical Investigation D Choi, K Lee, D Hwang, W Rhee International Conference on Artificial Neural Networks, 43-55, 2021 | 4* | 2021 |
Diversified and Realistic 3D Augmentation via Iterative Construction, Random Placement, and HPR Occlusion J Shin, J Kim, K Lee, H Cho, W Rhee Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2282-2291, 2023 | 2 | 2023 |
딥러닝 모델을 활용한 교통 혼잡도 예측 및 Geometric 딥러닝 모델의 활용방안 이경은, 어문정, 김세동, 정은아, 이원종 한국경영과학회 학술대회논문집, 912-918, 2018 | 1 | 2018 |
Towards a rigorous analysis of mutual information in contrastive learning K Lee, J Kim, S Kang, W Rhee Neural Networks 179, 106584, 2024 | | 2024 |
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains K Lee, YS Sim, HS Cho, M Eo, S Yoon, S Yoon, W Lim Proceedings of the 41st International Conference on Machine Learning, 2024 | | 2024 |
Who Should Participate in DR Program? Modeling with Machine Learning and Credit Scoring K Lee, E Lee, H Lee, H Lee, Y Yoon, W Rhee | | 2017 |
딥러닝 적용을 통한 공역 혼잡도 및 리스크 모델링: 도로교통데이터 분석 방식을 벤치마킹한 접근 이경은, 이원종 한국경영과학회 학술대회논문집, 243-248, 2017 | | 2017 |