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Kyungeun Lee
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Year
DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting
K Lee, W Rhee
Transportation Research Part C: Emerging Technologies 134, 103466, 2022
1052022
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
692021
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
302019
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
62018
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
12023
딥러닝 모델을 활용한 교통 혼잡도 예측 및 Geometric 딥러닝 모델의 활용방안
이경은, 어문정, 김세동, 정은아, 이원종
한국경영과학회 학술대회논문집, 912-918, 2018
12018
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
arXiv preprint arXiv:2405.07414, 2024
2024
Towards a Rigorous Analysis of Mutual Information in Contrastive Learning
K Lee, J Kim, S Kang, W Rhee
arXiv preprint arXiv:2308.15704, 2023
2023
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
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