Laboratory - Intelligent Systems

Yaling Tao

Yaling Tao

Ph.D
Analytics AI Lab

Research Area:

  • ● Machine Learning
  • ● Unsupervised Learning

Papers:

  • ● "Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation", ICLR 2021
  • ● "Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets", Proceedings of The 10th Asian Conference on Machine Learning, PMLR 95:49-64, 2018.
  • ● "Comparison of clustering methods for large scale TV viewing data", The 31st Annual Conference of the Japanese Society for Artificial Intelligence, 2017.
  • ● "Efficient computation offloading strategies for mobile cloud computing", 2015 IEEE 29th International Conference on Advanced Information Networking and Applications.
  • ● "Optimal Data Cache Allocation for Mobile Devices in Sensor-Cloud", IPSJ SIG MBL, 2013-MBL-69(13), pp. 1-8, Saitama, Japan, December 2013.
  • ● "Hierarchical Flow Balancing Protocol for Data Aggregation in Wireless Sensor Networks", Proc. IEEE Computers, Communications and IT Applications Conf. (ComComAp 2012).
  • ● "Efficient Data Cache Allocation for Sensor Clouds", IET Communications, Vol. 10, No. 16, pp. 2162-2169, 2016
  • ● "Flow-balanced routing for multi-hop clustered wireless sensor networks", Ad Hoc Networks, Vol.11, No.1, pp.541-554, 2013

Membership:

  • ● IPSJ (Information processing society of Japan)