Guyue Mi

According to our database, Guyue Mi authored at least 10 papers between 2012 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Ensemble Decision for Spam Detection Using Term Space Partition Approach.

Ying Tan, Quanbin Wang, Guyue Mi

IEEE Trans. Cybern., 2020

2016

Term Space Partition Based Ensemble Feature Construction for Spam Detection.

Guyue Mi, Yang Gao, Ying Tan

Proceedings of the Data Mining and Big Data, First International Conference, 2016

2015

Apply Stacked Auto-Encoder to Spam Detection.

Guyue Mi, Yang Gao, Ying Tan

Proceedings of the Advances in Swarm and Computational Intelligence, 2015

Variable length concentration based feature construction method for spam detection.

Yang Gao, Guyue Mi, Ying Tan

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

An Adaptive Concentration Selection Model for Spam Detection.

Yang Gao, Guyue Mi, Ying Tan

Proceedings of the Advances in Swarm Intelligence - 5th International Conference, 2014

2013

Parameter Optimization of Local-Concentration Model for Spam Detection by Using Fireworks Algorithm.

Wenrui He, Guyue Mi, Ying Tan

Proceedings of the Advances in Swarm Intelligence, 4th International Conference, 2013

Artificial immune system based methods for spam filtering.

Ying Tan, Guyue Mi, Yuanchun Zhu, Chao Deng

Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

A multi-resolution-concentration based feature construction approach for spam filtering.

Guyue Mi, Pengtao Zhang, Ying Tan

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Feature construction approach for email categorization based on term space partition.

Guyue Mi, Pengtao Zhang, Ying Tan

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Query based hybrid learning models for adaptively adjusting locality.

Yuanchun Zhu, Guyue Mi, Ying Tan

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012