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.
  • Qin Z., Tao J., Yang L. and Jiang M. (2023) Proportionate recursive maximum correntropy criterion adaptive filtering algorithms and their performance analysis. Digital Signal Processing: A Review Journal 139 http://dx.doi.org/10.1016/j.dsp.2023.104073.
  • Wang Y., Huang W. and Yang L. (2023) Privacy-Preserving End-to-End Spoken Language Understanding. In IJCAI International Joint Conference on Artificial Intelligence 2023-August: 5224-5232.
  • Yang J., Xu M., Li F. and Yang L. (2023) Adaptive tracking and classification algorithm for multiple extended targets based on irregular shape driven. Digital Signal Processing: A Review Journal 136 http://dx.doi.org/10.1016/j.dsp.2023.103992.