Shuo Xiang

Orcid: 0000-0001-5399-5484

According to our database1, Shuo Xiang authored at least 13 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2019
Asynchronous motor drive system using an improved APFC converter.
IEICE Electron. Express, 2019

Categorizing User Sessions at Pinterest.
Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2019

2017
Categorizing User Sessions at Pinterest.
CoRR, 2017

2015
Efficient nonconvex sparse group feature selection via continuous and discrete optimization.
Artif. Intell., 2015

2014
Simultaneous Variable and Feature Group Selection in Heterogeneous Learning: Optimization and Applications.
PhD thesis, 2014

Bi-level multi-source learning for heterogeneous block-wise missing data.
NeuroImage, 2014

Simultaneous feature and feature group selection through hard thresholding.
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013
Multi-source learning with block-wise missing data for Alzheimer's disease prediction.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Robust principal component analysis via capped norms.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Efficient Sparse Group Feature Selection via Nonconvex Optimization.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Efficient Sparse Group Feature Selection via Nonconvex Optimization
CoRR, 2012

Optimal exact least squares rank minimization.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2010
Sparse Representation: Extract Adaptive Neighborhood for Multilabel Classification.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010


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