Le Yang

LecturerLe Yang

Director of Computer Engineering
Link 510
Internal Phone: 90658


Research Interests

My research concentrates on statistical signal processing and machine learning techniques with applications to source localization and tracking, online regression and classification for biomedical engineering, and wireless communications. My recent and ongoing efforts include the use of variational inference in robust filtering, hierarchical clustering for indoor localization, interval analysis-based source localization and tracking, Bayesian spatiotemporal learning for adaptive optics.

Recent Publications

  • Ma F., Liu ZM., Yang L. and Guo F. (2021) Source localization in large-scale asynchronous sensor networks. Digital Signal Processing: A Review Journal 109 http://dx.doi.org/10.1016/j.dsp.2020.102920.
  • Qin N., Wang C., Shan C. and Yang L. (2021) Interval analysis-based Bi-iterative algorithm for robust TDOA-FDOA moving source localisation. International Journal of Distributed Sensor Networks 17(2) http://dx.doi.org/10.1177/1550147721991770.
  • Huang R., Jun T., Yang L., Yanbo X. and Q. Wu. (2020) Robust Tdoa Indoor Tracking Using Constrained Measurement Filtering and Grid-Based Filtering. In.
  • Liu R., Zhang Q., Chen Y., Wang J. and Yang L. (2020) A Biologically Constrained Cerebellar Model with Reinforcement Learning for Robotic Limb Control. IEEE Access 8: 222199-222210. http://dx.doi.org/10.1109/ACCESS.2020.3042994.
  • Liu Y., Li X., Xue Y., Weddell S., Yang L. and Mihaylova L. (2020) Outlier-Robust Schmidt-Kalman Filter using Variational Inference. In de Villiers P; de Waal A; Gustafsson F (Eds). IEEE eXpress IEEE.