Using Domain Knowledge Features for Wind Turbine Diagnostics. - R. Lily Hu; Kevin Leahy 003; Ioannis C. Konstantakopoulos; David M. Auslander; Costas J. Spanos; Alice M. Agogino (ICMLA, 2016)

Diagnosing wind turbine faults using machine learning techniques applied to operational data. - Kevin Leahy 003; R. Lily Hu; Ioannis C. Konstantakopoulos; Costas J. Spanos; Alice M. Agogino (ICPHM, 2016)

Machine Learning to Scale Fault Detection in Smart Energy Generation and Building Systems. - R. Lily Hu (2016)

Image Segmentation to Distinguish Between Overlapping Human Chromosomes. - R. Lily Hu; Jeremy Karnowski; Ross Fadely; Jean-Patrick Pommier (CoRR, 2017)

Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data. - Fantine Huot; R. Lily Hu; Matthias Ihme; Qing Wang 032; John Burge; Tianjian Lu; Jason Hickey; Yi-Fan Chen; John R. Anderson (CoRR, 2020)

Convolutional LSTM Neural Networks for Modeling Wildland Fire Dynamics. - John Burge; Matthew Bonanni; Matthias Ihme; R. Lily Hu (CoRR, 2020)

A Mathematical Programming Formulation for Optimal Load Shifting of Electricity Demand for the Smart Grid. - R. Lily Hu; Ryan Skorupski; Robert Entriken; Yinyu Ye 001 (IEEE Trans. Big Data, 2020)

Dynamic Placement of Rapidly Deployable Mobile Sensor Robots Using Machine Learning and Expected Value of Information. - Alice M. Agogino; Hae Young Jang; Vivek Rao; Ritik Batra; Felicity Liao; Rohan Sood; Irving Fang; R. Lily Hu; Emerson Shoichet-Bartus; John Matranga (CoRR, 2021)

Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data. - Fantine Huot; R. Lily Hu; Nita Goyal; Tharun Sankar; Matthias Ihme; Yi-Fan Chen (CoRR, 2021)

Accelerating Physics Simulations with TPUs: An Inundation Modeling Example. - Damien Pierce; R. Lily Hu; Yusef Shafi; Anudhyan Boral; Vladimir Anisimov; Sella Nevo; Yi-Fan Chen (CoRR, 2022)

Recurrent Convolutional Deep Neural Networks for Modeling Time-Resolved Wildfire Spread Behavior. - John Burge; Matthew R. Bonanni; R. Lily Hu; Matthias Ihme (CoRR, 2022)

Accelerating physics simulations with tensor processing units: An inundation modeling example. - R. Lily Hu; Damien Pierce; Yusef Shafi; Anudhyan Boral; Vladimir Anisimov; Sella Nevo; Yi-Fan Chen (Int. J. High Perform. Comput. Appl., 2022)

Next Day Wildfire Spread: A Machine Learning Dataset to Predict Wildfire Spreading From Remote-Sensing Data. - Fantine Huot; R. Lily Hu; Nita Goyal; Tharun Sankar; Matthias Ihme; Yi-Fan Chen (IEEE Trans. Geosci. Remote. Sens., 2022)