Lei Shi

Affiliations:
  • Baidu.com Inc., Shenzhen, China (2012 - 2016)
  • Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong (2005 - 2012)


According to our database1, Lei Shi authored at least 12 papers between 2006 and 2016.

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

Timeline

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Bibliography

2016
Functional Hashing for Compressing Neural Networks.
CoRR, 2016

Latent Topic Embedding.
Proceedings of the COLING 2016, 2016

2014
Learning local factor analysis versus mixture of factor analyzers with automatic model selection.
Neurocomputing, 2014

2013
Trading-off among accuracy, similarity, diversity, and long-tail: a graph-based recommendation approach.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

Sparse Additive Text Models with Low Rank Background.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Bayesian Probabilistic Co-Subspace Addition.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Radar HRRP Statistical Recognition With Local Factor Analysis by Automatic Bayesian Ying-Yang Harmony Learning.
IEEE Trans. Signal Process., 2011

2010
Gene clustering by structural prior based local factor analysis model under Bayesian Ying-Yang harmony learning.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2008
Bayesian Ying-Yang Harmony Learning for Local Factor Analysis: A Comparative Investigation.
Proceedings of the Oppositional Concepts in Computational Intelligence, 2008

A Comparative Study on Data Smoothing Regularization for Local Factor Analysis.
Proceedings of the Artificial Neural Networks, 2008

2006
Local Factor Analysis with Automatic Model Selection: A Comparative Study and Digits Recognition Application.
Proceedings of the Artificial Neural Networks, 2006

Comparative Investigation on Dimension Reduction and Regression in Three Layer Feed-Forward Neural Network.
Proceedings of the Artificial Neural Networks, 2006


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