Zobrazeno 1 - 10
of 331
pro vyhledávání: '"Lee, Hyunwook"'
Autor:
Kim, Joohee, Lee, Hyunwook, Nguyen, Duc M., Shin, Minjeong, Kwon, Bum Chul, Ko, Sungahn, Elmqvist, Niklas
Comics are an effective method for sequential data-driven storytelling, especially for dynamic graphs -- graphs whose vertices and edges change over time. However, manually creating such comics is currently time-consuming, complex, and error-prone. I
Externí odkaz:
http://arxiv.org/abs/2408.04874
Autor:
Lee, Hyunwook, Ko, Sungahn
Publikováno v:
International Conference on Learning Representations (ICLR 2024)
Accurate traffic forecasting is challenging due to the complex dependency on road networks, various types of roads, and the abrupt speed change due to the events. Recent works mainly focus on dynamic spatial modeling with adaptive graph embedding or
Externí odkaz:
http://arxiv.org/abs/2403.02600
Autor:
Jeon, Hyeon, Quadri, Ghulam Jilani, Lee, Hyunwook, Rosen, Paul, Szafir, Danielle Albers, Seo, Jinwook
Visual clustering is a common perceptual task in scatterplots that supports diverse analytics tasks (e.g., cluster identification). However, even with the same scatterplot, the ways of perceiving clusters (i.e., conducting visual clustering) can diff
Externí odkaz:
http://arxiv.org/abs/2308.00284
Time-series forecasting has gained increasing attention in the field of artificial intelligence due to its potential to address real-world problems across various domains, including energy, weather, traffic, and economy. While time-series forecasting
Externí odkaz:
http://arxiv.org/abs/2210.15050
Autor:
Jin, Seungmin, Lee, Hyunwook, Park, Cheonbok, Chu, Hyeshin, Tae, Yunwon, Choo, Jaegul, Ko, Sungahn
With deep learning (DL) outperforming conventional methods for different tasks, much effort has been devoted to utilizing DL in various domains. Researchers and developers in the traffic domain have also designed and improved DL models for forecastin
Externí odkaz:
http://arxiv.org/abs/2208.04350
Autor:
Lee, Hyunwook
Accurate estimation of the coefficient of friction (CoF) is essential to accurately modeling railroad dynamics, reducing maintenance costs, and increasing safety factors in rail operations. The assumption of a constant CoF is popularly used in simula
Externí odkaz:
http://hdl.handle.net/10919/77195
http://scholar.lib.vt.edu/theses/available/etd-09092010-110527/
http://scholar.lib.vt.edu/theses/available/etd-09092010-110527/
Publikováno v:
Journal of Sport Rehabilitation; Aug2024, Vol. 33 Issue 6, p467-472, 6p
Publikováno v:
International Conference on Learning Representations (ICLR 2022)
Traffic forecasting is a challenging problem due to complex road networks and sudden speed changes caused by various events on roads. A number of models have been proposed to solve this challenging problem with a focus on learning spatio-temporal dep
Externí odkaz:
http://arxiv.org/abs/2110.10380
Publikováno v:
International Conference on Data Engineering (ICDE 2021)
To tackle ever-increasing city traffic congestion problems, researchers have proposed deep learning models to aid decision-makers in the traffic control domain. Although the proposed models have been remarkably improved in recent years, there are sti
Externí odkaz:
http://arxiv.org/abs/2105.05504
Publikováno v:
In Gait & Posture January 2024 107:269-274