Hengjin Tang

According to our database, Hengjin Tang authored at least 8 papers between 2010 and 2018.

Collaborative distances:

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

2018

Time-Series Predictions for People-Flow with Simulation Data.

Hengjin Tang, Tatsushi Matsubayashi, Daisuke Sato, Hiroyuki Toda

Proceedings of the PRIMA 2018: Principles and Practice of Multi-Agent Systems - 21st International Conference, Tokyo, Japan, October 29, 2018

2015

Semi-Supervised Sequential Kernel Regression Models with Penalty Functions.

Hengjin Tang, Sadaaki Miyamoto, Yasunori Endo

J. Adv. Comput. Intell. Intell. Informatics, 2015

Blocked Time-Step Algorithm for Accelerating k-Means and Fuzzy c-Means.

Hengjin Tang, Tatsushi Matsubayashi, Hiroshi Sawada

Proceedings of the 2015 IEEE International Conference on Systems, 2015

2013

Semi-supervised Sequential Kernel Regression Models with Pairwise Constraints.

Hengjin Tang, Sadaaki Miyamoto

Proceedings of the Modeling Decisions for Artificial Intelligence, 2013

Sequential extraction of clusters for imbalanced data.

Hengjin Tang, Sadaaki Miyamoto

Proceedings of the 2013 IEEE International Conference on Granular Computing, 2013

2012

Sequential Regression Models with Pairwise Constraints Using Noise Clusters.

Hengjin Tang, Sadaaki Miyamoto

J. Adv. Comput. Intell. Intell. Informatics, 2012

2011

Sequential Extraction of Fuzzy Regression Models: Least Squares and Least absolute Deviations.

Hengjin Tang, Sadaaki Miyamoto

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2011

2010

Algorithms in Sequential Fuzzy Regression Models Based on Least Absolute Deviations.

Hengjin Tang, Sadaaki Miyamoto

Proceedings of the Modeling Decisions for Artificial Intelligence, 2010