Le Yang

LecturerLe Yang

Director of Studies, Computer Engineering
Link 510
Internal Phone: 90658

Qualifications & Memberships

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, adaptive optics 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

  • Liu Y., Yang Q., Xu Y. and Yang L. (2023) Point Cloud Quality Assessment: Dataset Construction and Learning-based No-reference Metric. ACM Transactions on Multimedia Computing, Communications, and Applications 19(2s): 1-26. http://dx.doi.org/10.1145/3550274.
  • Pei Y., Li X., Yang L. and Guo F. (2023) A Closed-Form Solution for Source Localization Using FDOA Measurements only. IEEE Communications Letters 27(1): 115-119. http://dx.doi.org/10.1109/LCOMM.2022.3212106.
  • Jiang C., Yang L. and Zhang Y. (2022) A Spiking Neural Network with Spike-Timing-Dependent Plasticity for Surface Roughness Analysis. IEEE Sensors Journal 22(1): 438-445. http://dx.doi.org/10.1109/JSEN.2021.3120845.
  • Li X., Liu Y. and Yang L. (2022) New alternative derivations of Cramér–Rao bound for equality-constrained estimation. Electronics Letters 58(2): 76-78. http://dx.doi.org/10.1049/ell2.12357.
  • Liu Y., Li X., Yang L., Mihaylova L. and Xue Y. (2022) On the Fixed-Interval Smoothing for Jump Markov Nonlinear Systems. In 2022 25th International Conference on Information Fusion, FUSION 2022 http://dx.doi.org/10.23919/FUSION49751.2022.9841334.