Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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33 results for Siyuan Lu

PAIRS AutoGeo: An Automated Machine Learning Framework for Massive Geospatial Data
- - Wang Zhou
  - Levente J. Klein
  - et al.
- 2020
- Big Data 2020
Map Generation from Large Scale Incomplete and Inaccurate Data Labels
- - Rui Zhang
  - Conrad Albrecht
  - et al.
- 2020
- KDD 2020
Pairs (Re)Loaded: System Design Benchmarking for Scalable Geospatial Applications
- - Conrad Albrecht
  - N. Bobroff
  - et al.
- 2020
- LAGIRS 2020
N-dimensional geospatial data and analytics for critical infrastructure risk assessment
- - Levente J. Klein
  - Conrad Albrecht
  - et al.
- 2019
- Big Data 2019
Forecast of solar energy production - A deep learning approach
- - Rui Zhang
  - Minwei Feng
  - et al.
- 2018
- ICBK 2018
Short-term global horizontal irradiance forecasting based on sky imaging and pattern recognition
- - Cong Feng
  - Mingjian Cui
  - et al.
- 2017
- PESGM 2017
Dynamic cloud motion forecasting from satellite images
- - Sergiy Zhuk
  - Tigran Tchrakian
  - et al.
- 2017
- CDC 2017
Event clustering & event series characterization on expected frequency
- - Conrad Albrecht
  - Marcus Freitag
  - et al.
- 2017
- Big Data 2017
IBM PAIRS curated big data service for accelerated geospatial data analytics and discovery
- - Siyuan Lu
  - X. Shao
  - et al.
- 2016
- Big Data 2016
Solar irradiance forecasting by machine learning for solar car races
- - X. Shao
  - Siyuan Lu
  - et al.
- 2016
- Big Data 2016