Siyuan Lu

According to our database, Siyuan Lu authored at least 19 papers between 2013 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

Change Detection from Remote Sensing to Guide OpenStreetMap Labeling.

Conrad M. Albrecht, Rui Zhang, Xiaodong Cui, Marcus Freitag, Hendrik F. Hamann, Levente J. Klein, Ulrich Finkler, Fernando J. Marianno, Johannes Schmude, Norman Bobroff, Wei Zhang, Carlo Siebenschuh, Siyuan Lu

ISPRS Int. J. Geo Inf., 2020

Next-generation geospatial-temporal information technologies for disaster management.

Conrad M. Albrecht, Bruce Elmegreen, Oki Gunawan, Hendrik F. Hamann, Levente J. Klein, Siyuan Lu, F. Mariano, Carlo Siebenschuh, Johannes Schmude

IBM J. Res. Dev., 2020

Map Generation from Large Scale Incomplete and Inaccurate Data Labels.

Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

PAIRS AutoGeo: an Automated Machine Learning Framework for Massive Geospatial Data.

Wang Zhou, Levente J. Klein, Siyuan Lu

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Synthesizing simulation and field data of solar irradiance.

Furong Sun, Robert B. Gramacy, Benjamin Haaland, Siyuan Lu, Youngdeok Hwang

Stat. Anal. Data Min., 2019

N-dimensional geospatial data and analytics for critical infrastructure risk assessment.

Levente J. Klein, Conrad M. Albrecht, Wang Zhou, Carlo Siebenschuh, Sharathchandra Pankanti, Hendrik F. Hamann, Siyuan Lu

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A Methodology for Quantifying Reliability Benefits From Improved Solar Power Forecasting in Multi-Timescale Power System Operations.

Mingjian Cui, Jie Zhang, Bri-Mathias S. Hodge, Siyuan Lu, Hendrik F. Hamann

IEEE Trans. Smart Grid, 2018

An Unsupervised Clustering-Based Short-Term Solar Forecasting Methodology Using Multi-Model Machine Learning Blending.

Cong Feng, Mingjian Cui, Bri-Mathias S. Hodge, Siyuan Lu, Hendrik F. Hamann, Jie Zhang

CoRR, 2018

Forecast of Solar Energy Production - A Deep Learning Approach.

Rui Zhang, Minwei Feng, Wei Zhang, Siyuan Lu, Fei Wang

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017

Where computer vision can aid physics: dynamic cloud motion forecasting from satellite images.

Sergiy Zhuk, Tigran T. Tchrakian, Albert Akhriev, Siyuan Lu, Hendrik F. Hamann

CoRR, 2017

Dynamic cloud motion forecasting from satellite images.

Sergiy Zhuk, Tigran T. Tchrakian, Albert Akhriev, Siyuan Lu, Hendrik F. Hamann

Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Event clustering & event series characterization on expected frequency.

Conrad M. Albrecht, Marcus Freitag, Theodore G. van Kessel, Siyuan Lu, Hendrik F. Hamann

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

On the usefulness of solar energy forecasting in the presence of asymmetric costs of errors.

Ildar Khabibrakhmanov, Siyuan Lu, Hendrik F. Hamann, Kevin Warren

IBM J. Res. Dev., 2016

Toward large-scale crop production forecasts for global food security.

G. Badr, Levente J. Klein, Marcus Freitag, Conrad M. Albrecht, Fernando J. Marianno, Siyuan Lu, Xiaoyan Shao, Nigel Hinds, Gerrit Hoogenboom, Hendrik F. Hamann

IBM J. Res. Dev., 2016

Solar irradiance forecasting by machine learning for solar car races.

Xiaoyan Shao, Siyuan Lu, Theodore G. van Kessel, Hendrik F. Hamann, Leda Daehler, Jeffrey Cwagenberg, Alan Li

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

IBM PAIRS curated big data service for accelerated geospatial data analytics and discovery.

Siyuan Lu, Xiaoyan Shao, Marcus Freitag, Levente J. Klein, Jason D. Renwick, Fernando J. Marianno, Conrad M. Albrecht, Hendrik F. Hamann

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Machine learning based multi-physical-model blending for enhancing renewable energy forecast - improvement via situation dependent error correction.

Siyuan Lu, Youngdeok Hwang, Ildar Khabibrakhmanov, Fernando J. Marianno, Xiaoyan Shao, Jie Zhang, Bri-Mathias S. Hodge, Hendrik F. Hamann

Proceedings of the 14th European Control Conference, 2015

PAIRS: A scalable geo-spatial data analytics platform.

Levente J. Klein, Fernando J. Marianno, Conrad M. Albrecht, Marcus Freitag, Siyuan Lu, Nigel Hinds, Xiaoyan Shao, Sergio Bermudez Rodriguez, Hendrik F. Hamann

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2013

GeoMix: scalable geoscientific array data management.

Yaoliang Chen, Xiaomin Xu, Pohan Li, Siyuan Lu, Sheng Huang, Wei Lu, Kevin Brown

Proceedings of the Industrial Track of the 14th ACM/IFIP/USENIX International Middleware Conference, 2013