Xiaoli Li

Affiliations:
  • The University of Kansas, Lawrence, KS, USA


According to our database1, Xiaoli Li authored at least 10 papers between 2014 and 2018.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2018
Interactions Modeling in Multi-Task Multi-View Learning with Consistent Task Diversity.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
Learning Social Circles in Ego-Networks Based on Multi-View Network Structure.
IEEE Trans. Knowl. Data Eng., 2017

Deep-learning: investigating deep neural networks hyper-parameters and comparison of performance to shallow methods for modeling bioactivity data.
J. Cheminformatics, 2017

Constructivism Learning: A Learning Paradigm for Transparent Predictive Analytics.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Lifelong multi-task multi-view learning using latent spaces.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Partial Collective Matrix Factorization and its PAC Bound.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2016

Co-regularized least square regression for multi-view multi-class classification.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A PAC bound for joint matrix completion based on Partially Collective Matrix Factorization.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

aptMTVL: Nailing Interactions in Multi-Task Multi-View Multi-Label Learning using Adaptive-basis Multilinear Factor Analyzers.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2014
Automatic Social Circle Detection Using Multi-View Clustering.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014


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