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R. Lily Hu
ORCID
Publication Activity (10 Years)
Years Active: 2016-2022
Publications (10 Years): 12
Top Topics
Hyperspectral
Machine Learning
Mathematical Programming
Neural Network
Top Venues
CoRR
ICPHM
IEEE Trans. Geosci. Remote. Sens.
ICMLA
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Publications
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John Burge
,
Matthew R. Bonanni
,
R. Lily Hu
,
Matthias Ihme
Recurrent Convolutional Deep Neural Networks for Modeling Time-Resolved Wildfire Spread Behavior.
CoRR
(2022)
Damien Pierce
,
R. Lily Hu
,
Yusef Shafi
,
Anudhyan Boral
,
Vladimir Anisimov
,
Sella Nevo
,
Yi-Fan Chen
Accelerating Physics Simulations with TPUs: An Inundation Modeling Example.
CoRR
(2022)
Fantine Huot
,
R. Lily Hu
,
Nita Goyal
,
Tharun Sankar
,
Matthias Ihme
,
Yi-Fan Chen
Next Day Wildfire Spread: A Machine Learning Dataset to Predict Wildfire Spreading From Remote-Sensing Data.
IEEE Trans. Geosci. Remote. Sens.
60 (2022)
R. Lily Hu
,
Damien Pierce
,
Yusef Shafi
,
Anudhyan Boral
,
Vladimir Anisimov
,
Sella Nevo
,
Yi-Fan Chen
Accelerating physics simulations with tensor processing units: An inundation modeling example.
Int. J. High Perform. Comput. Appl.
36 (4) (2022)
Fantine Huot
,
R. Lily Hu
,
Nita Goyal
,
Tharun Sankar
,
Matthias Ihme
,
Yi-Fan Chen
Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data.
CoRR
(2021)
Alice M. Agogino
,
Hae Young Jang
,
Vivek Rao
,
Ritik Batra
,
Felicity Liao
,
Rohan Sood
,
Irving Fang
,
R. Lily Hu
,
Emerson Shoichet-Bartus
,
John Matranga
Dynamic Placement of Rapidly Deployable Mobile Sensor Robots Using Machine Learning and Expected Value of Information.
CoRR
(2021)
R. Lily Hu
,
Ryan Skorupski
,
Robert Entriken
,
Yinyu Ye
A Mathematical Programming Formulation for Optimal Load Shifting of Electricity Demand for the Smart Grid.
IEEE Trans. Big Data
6 (4) (2020)
Fantine Huot
,
R. Lily Hu
,
Matthias Ihme
,
Qing Wang
,
John Burge
,
Tianjian Lu
,
Jason Hickey
,
Yi-Fan Chen
,
John R. Anderson
Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data.
CoRR
(2020)
John Burge
,
Matthew Bonanni
,
Matthias Ihme
,
R. Lily Hu
Convolutional LSTM Neural Networks for Modeling Wildland Fire Dynamics.
CoRR
(2020)
R. Lily Hu
,
Jeremy Karnowski
,
Ross Fadely
,
Jean-Patrick Pommier
Image Segmentation to Distinguish Between Overlapping Human Chromosomes.
CoRR
(2017)
Kevin Leahy
,
R. Lily Hu
,
Ioannis C. Konstantakopoulos
,
Costas J. Spanos
,
Alice M. Agogino
Diagnosing wind turbine faults using machine learning techniques applied to operational data.
ICPHM
(2016)
R. Lily Hu
,
Kevin Leahy
,
Ioannis C. Konstantakopoulos
,
David M. Auslander
,
Costas J. Spanos
,
Alice M. Agogino
Using Domain Knowledge Features for Wind Turbine Diagnostics.
ICMLA
(2016)