Mingchao Liang

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I am a Research Scientist at Meta. Before that, I earned my Ph.D. in Electrical and Computer Engineering at the University of California, San Diego under the supervision of Prof. Florian Meyer and close collaboration with Prof. Bhaskar D. Rao. My doctoral research focuses on machine learning and statistical signal processing algorithms for machine perception problems.

During my Ph.D., I was honored to receive the Qualcomm Innovation Fellowship. I also hold a B.Eng. in Electronic Engineering from the Chinese University of Hong Kong.

Selected Publications

  1. arXiv
    Message Passing for Track-Before-Detect
    Mingchao Liang, and Florian Meyer
    arXiv preprint arXiv:2506.18177, 2025
  2. arXiv
    Bayesian Multiobject Tracking with Neural-Enhanced Motion and Measurement Models
    Shaoxiu Wei, Mingchao Liang, and Florian Meyer
    arXiv preprint arXiv:2506.18124, 2025
  3. IEEE TSP
    Direct Multipath-Based SLAM
    Mingchao Liang, Erik Leitinger, and Florian Meyer
    IEEE Transactions on Signal Processing (IEEE TSP), Mar 2025
  4. IEEE TSP
    Neural Enhanced Belief Propagation for Multiobject Tracking
    Mingchao Liang, and Florian Meyer
    IEEE Transactions on Signal Processing (IEEE TSP), Sep 2023
  5. IEEE SPL
    A BP Method for Track-Before-Detect
    Mingchao Liang, Thomas Kropfreiter, and Florian Meyer
    IEEE Signal Processing Letters (IEEE SPL), Jul 2023
  6. IEEE SSP
    Neural Enhanced Belief Propagation for Cooperative Localization
    Mingchao Liang, and Florian Meyer
    In IEEE Statistical Signal Processing Workshop (SSP), Jul 2021