Yi-Lin Tsai
Rutgers University
4 Papers
21 Citations
Yi-Lin Tsai is an academic researcher from Rutgers University. The author has contributed to research in topics: Computer science & Channel state information. The author has an hindex of 2, co-authored 2 publications.
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Papers
An additive exponential noise channel with a transmission deadline
Yi-Lin Tsai,Christopher Rose,Ruochen Song,I. Saira Mian +3 more
- 03 Oct 2011
TL;DR: The ultimate goal is to provide bounds on the potential efficacy of timed-release signaling for any system which emits identical signaling quanta, in the hopes of gaining insights applicable to diverse systems that span a wide range of spatiotemporal scales.
MIMO power strategies for limited transmitter CSI
Yi-Lin Tsai,Christopher Rose +1 more
- 17 Mar 2010
TL;DR: This work investigates three simple power allocation strategies for improving the maximum possible signaling rate (ergodic capacity) in MIMO systems with complete CSI at the receiver and periodically updated CSI in the transmitter.
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Improving debris flow evacuation alerts in Taiwan using machine learning
Yi-Lin Tsai,Jeremy Irvin,Suhas Chundi,Joao Estacio Gaspar Araujo,Andrew Y. Ng,Christopher B. Field,Peter K. Kitanidis Department of Civil,Environmental Engineering,Stanford University,Stanford,Ca,Usa,Department of Materials Science,Woods Institute for the Environment,Interdisciplinary Environmental Studies Program,Department of Computer Science,Institute for Computational +16 more
TL;DR: A random forest model performed the best among the five models and outperformed the existing debris warning system in Taiwan, suggesting the potential for machine learning models trained on hourly rainfall data alone to save lives while reducing false alerts.
Effective approaches to disaster evacuation during a COVID-like pandemic
Yi-Lin Tsai,Dymasius Y. Sitepu,Karyn E. Chappell,Rishi P. Mediratta,C. J. Wang,Peter K. Kitanidis,Christopher B. Field Department of Civil,Environmental Engineering,Stanford University,Stanford,Ca,Usa,National University of Singapore,Singapore,Department of Electrical Engineering,I. -. London,London,Uk,Department of Pediatrics,Stanford School of Medicine,Department of Health Policy,Woods Institute for the Environment,Bio-X,Institute for Computational,Department of Biology,Department of Materials Science,Interdisciplinary Environmental Studies Program +26 more
TL;DR: An age-structured epidemiological model is applied, known as the Susceptible-Exposed-Infectious-Recovered (SEIR) model, to investigate to what extent vaccine uptake levels and the Diversion protocol implemented in Taiwan decrease infections and delay pandemic peak occurrences.