R. Lily Hu

14 papers C 1Journal 11Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Efficient, Property-Aligned Fan-Out Retrieval via RL-Compiled Diffusion.
CoRR
Pengcheng Jiang, Judith Yue Li, Moonkyung Ryu, R. Lily Hu, Kun Su, Zhong Yi Wan, Liam Hebert, Hao Peng, Jiawei Han, Dima Kuzmin, Craig Boutilier
2022 J jnl
Accelerating Physics Simulations with TPUs: An Inundation Modeling Example.
CoRR
Damien Pierce, R. Lily Hu, Yusef Shafi, Anudhyan Boral, Vladimir Anisimov, Sella Nevo, Yi-Fan Chen
2022 J jnl
Accelerating physics simulations with tensor processing units: An inundation modeling example.
Int. J. High Perform. Comput. Appl.
R. Lily Hu, Damien Pierce, Yusef Shafi, Anudhyan Boral, Vladimir Anisimov, Sella Nevo, Yi-Fan Chen
2022 J jnl
Next Day Wildfire Spread: A Machine Learning Dataset to Predict Wildfire Spreading From Remote-Sensing Data.
IEEE Trans. Geosci. Remote. Sens.
Fantine Huot, R. Lily Hu, Nita Goyal, Tharun Sankar, Matthias Ihme, Yi-Fan Chen
2022 J jnl
Recurrent Convolutional Deep Neural Networks for Modeling Time-Resolved Wildfire Spread Behavior.
CoRR
John Burge, Matthew R. Bonanni, R. Lily Hu, Matthias Ihme
2021 J jnl
Dynamic Placement of Rapidly Deployable Mobile Sensor Robots Using Machine Learning and Expected Value of Information.
CoRR
Alice M. Agogino, Hae Young Jang, Vivek Rao, Ritik Batra, Felicity Liao, Rohan Sood, Irving Fang, R. Lily Hu, Emerson Shoichet-Bartus, John Matranga
2021 J jnl
Next Day Wildfire Spread: A Machine Learning Data Set to Predict Wildfire Spreading from Remote-Sensing Data.
CoRR
Fantine Huot, R. Lily Hu, Nita Goyal, Tharun Sankar, Matthias Ihme, Yi-Fan Chen
2020 J jnl
A Mathematical Programming Formulation for Optimal Load Shifting of Electricity Demand for the Smart Grid.
IEEE Trans. Big Data
R. Lily Hu, Ryan Skorupski, Robert Entriken, Yinyu Ye
2020 J jnl
Convolutional LSTM Neural Networks for Modeling Wildland Fire Dynamics.
CoRR
John Burge, Matthew Bonanni, Matthias Ihme, R. Lily Hu
2020 J jnl
Deep Learning Models for Predicting Wildfires from Historical Remote-Sensing Data.
CoRR
Fantine Huot, R. Lily Hu, Matthias Ihme, Qing Wang, John Burge, Tianjian Lu, Jason Hickey, Yi-Fan Chen, John R. Anderson
2017 J jnl
Image Segmentation to Distinguish Between Overlapping Human Chromosomes.
CoRR
R. Lily Hu, Jeremy Karnowski, Ross Fadely, Jean-Patrick Pommier
2016 — conf
Diagnosing wind turbine faults using machine learning techniques applied to operational data.
ICPHM
Kevin Leahy, R. Lily Hu, Ioannis C. Konstantakopoulos, Costas J. Spanos, Alice M. Agogino
2016 — —
Machine Learning to Scale Fault Detection in Smart Energy Generation and Building Systems.
R. Lily Hu
2016 C conf
Using Domain Knowledge Features for Wind Turbine Diagnostics.
ICMLA
R. Lily Hu, Kevin Leahy, Ioannis C. Konstantakopoulos, David M. Auslander, Costas J. Spanos, Alice M. Agogino