Zongjie Ma

According to our database1, Zongjie Ma authored at least 16 papers between 2014 and 2020.

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Bibliography

2020
Dropout with Tabu Strategy for Regularizing Deep Neural Networks.
Comput. J., 2020

2019
Efficient Local Search for Minimum Dominating Sets in Large Graphs.
Proceedings of the Database Systems for Advanced Applications, 2019

2018
Regularized partial least squares for multi-label learning.
Int. J. Mach. Learn. Cybern., 2018

Advancing Tabu and Restart in Local Search for Maximum Weight Cliques.
CoRR, 2018

2017
Restart and Random Walk in Local Search for Maximum Vertex Weight Cliques with Evaluations in Clustering Aggregation.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Efficient Local Search for Maximum Weight Cliques in Large Graphs.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

Deterministic Tournament Selection in Local Search for Maximum Edge Weight Clique on Large Sparse Graphs.
Proceedings of the AI 2017: Advances in Artificial Intelligence, 2017

2016
Local Search with Noisy Strategy for Minimum Vertex Cover in Massive Graphs.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Random Walk in Large Real-World Graphs for Finding Smaller Vertex Cover.
Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

Local Search for Maximum Vertex Weight Clique on Large Sparse Graphs with Efficient Data Structures.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

2015
Penalized partial least square discriminant analysis with l<sub>1</sub> for multi-label data.
Pattern Recognit., 2015

Exploiting Reduction Rules and Data Structures: Local Search for Minimum Vertex Cover in Massive Graphs.
CoRR, 2015

2014
PPML: Penalized Partial Least Squares Discriminant Analysis for Multi-Label Learning.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

Compressed partial least squares regression: A supervised method for multi-label data.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

Penalized partial least squares for multi-label data.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

Multi-label Feature Selection via Information Gain.
Proceedings of the Advanced Data Mining and Applications - 10th International Conference, 2014


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