Lei Shi

Affiliations:
  • Baidu Inc., Beijing, China
  • Chinese Academy of Sciences, Institute of Software, State Key Laboratory of Computer Sciences, Beijing, China (PhD 2018)


According to our database1, Lei Shi authored at least 13 papers between 2013 and 2020.

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

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2020
Person Reidentification via Multi-Feature Fusion With Adaptive Graph Learning.
IEEE Trans. Neural Networks Learn. Syst., 2020

2018
Uncertainty Sampling for Action Recognition via Maximizing Expected Average Precision.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Local Representative-Based Matrix Factorization for Cold-Start Recommendation.
ACM Trans. Inf. Syst., 2017

2016
Diversifying Convex Transductive Experimental Design for Active Learning.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Learning a Robust Consensus Matrix for Clustering Ensemble via Kullback-Leibler Divergence Minimization.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Recovery of Corrupted Multiple Kernels for Clustering.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Robust Multiple Kernel K-means Using L21-Norm.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Experimental Design with Multiple Kernels.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Convex Batch Mode Active Sampling via α-Relative Pearson Divergence.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Large Scale Purchase Prediction with Historical User Actions on B2C Online Retail Platform.
CoRR, 2014

Robust Spectral Learning for Unsupervised Feature Selection.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Unsupervised Template Mining for Semantic Category Understanding.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Fast Algorithm for Approximate k-Nearest Neighbor Graph Construction.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013


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