Signal Processing Systems
Dept. of Microelectronics

MSc W Yu

PhD student
Signal Processing Systems (SPS), Department of Microelectronics

PhD thesis (May 2024): The Estimation of Acoustic Parameters and Representations based on Room Impulse Responses
Promotor: Bastiaan Kleijn, Richard Heusdens

Expertise: audio signal processing

Themes: Audio and acoustic signal processing

Biography

Wangyang Yu was a PhD student with Bastiaan Kleijn, and worked on the "Distributed Processing of Audio Signals" project. She obtained the MSc degree from TU Delft, SPS (CAS) group with Richard Heusdens in 2017, and the PhD degree with Bastiaan Kleijn and Richard Heusdens in May 2024.

Projects history

Distributed Processing of Audio Signals

Industry-sponsored project that aims to develop new distributed processing approaches and new computational methods for determining the acoustic room response.

  1. Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization
    Yu, Wenrui; Li, Qiongxiu; Lopuhaä-Zwakenberg, Milan; Græsbøll Christensen, Mads; Heusdens, Richard;
    IEEE Transactions on Information Forensics and Security,
    Volume 20, pp. 822-838, 2025. DOI: 10.1109/TIFS.2024.3516564
    Keywords: ... Privacy;Peer-to-peer computing;Protocols;Servers;Optimization;Data models;Data privacy;Computational modeling;Topology;Iterative methods;Federated learning;privacy preservation;information theory;distribution optimization;ADMM;PDMM.

  2. Topology-Dependent Privacy Bound for Decentralized Federated Learning
    Li, Qiongxiu; Yu, Wenrui; Ji, Changlong; Heusdens, Richard;
    In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
    pp. 5940-5944, 2024. DOI: 10.1109/ICASSP48485.2024.10446209
    Keywords: ... Privacy;Network topology;Federated learning;Signal processing;Robustness;Topology;Speech processing;Privacy;graph topology;peer-to-peer;decentralization;federated learning.

  3. On the Privacy Bound of Distributed Optimization and its Application in Federated Learning
    Li, Qiongxiu; Lopuhaä-Zwakenberg, Milan; Yu, Wenrui; Heusdens, Richard;
    In 2024 32nd European Signal Processing Conference (EUSIPCO),
    pp. 2232-2236, 2024. DOI: 10.23919/EUSIPCO63174.2024.10715187
    Keywords: ... Privacy;Federated learning;Neural networks;Linear regression;Linearity;Signal processing;Numerical simulation;Linear programming;Information leakage;Optimization.

  4. Distributed TDOA-based indoor source localisation
    Wangyang Yu; N.D. Gaubitch; R. Heusdens;
    In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
    Calgary (Canada), IEEE, pp. 6887-6891, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8462262
    document

  5. Outer $(J_1,J_2)$-lossless factorizations of linear discrete time-varying systems
    X. Yu; J. Scherpen; A.J. van der Veen; P.M. Dewilde;
    In Proc. CDC,
    IEEE, pp. 2249-2254, December 1996.
    document

  6. Time-varying System Identification, J-lossless Factorization, and H$_\infty$ Control
    Xiaode Yu;
    PhD thesis, Delft Univ. of Technology, Delft, The Netherlands, May 1996.
    document

  7. A Class of Subspace Model Identification Algorithms to identify Periodically and Arbitrarily Time-Varying Systems
    M. Verhaegen; X. Yu;
    Automatica,
    Volume 31, Issue 2, pp. 201-216, 1995.

  8. Application of a Time-Varying Subspace Model Identification Scheme to the Identification of the Human Joint Dynamics
    X. Yu; M. Verhaegen;
    In Proc. European Control Conf.,
    Groningen, The Netherlands, pp. 603-608, June 1993.

BibTeX support

Last updated: 21 May 2024

Wangyang Yu

Alumnus