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2020 – today
- 2022
[i6]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 abs/2204.10323 (2022)- 2021
- [i5]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 abs/2111.07552 (2021) - [i4]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 abs/2112.02447 (2021) - 2020
- [j1]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): 638-651 (2020) - [i3]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 abs/2010.07445 (2020) - [i2]John Burge, Matthew Bonanni, Matthias Ihme, R. Lily Hu:
Convolutional LSTM Neural Networks for Modeling Wildland Fire Dynamics. CoRR abs/2012.06679 (2020)
2010 – 2019
- 2017
- [i1]R. Lily Hu, Jeremy Karnowski, Ross Fadely, Jean-Patrick Pommier:
Image Segmentation to Distinguish Between Overlapping Human Chromosomes. CoRR abs/1712.07639 (2017) - 2016
- [b1]R. Lily Hu:
Machine Learning to Scale Fault Detection in Smart Energy Generation and Building Systems. University of California, Berkeley, USA, 2016 - [c2]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: 300-307 - [c1]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: 1-8
Coauthor Index
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