Mingchao Liang

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I am a PhD candidate in Electrical and Computer Engineering at University of California, San Diego under the supervision of Prof. Florian Meyer. Prior joining UCSD, I obtained my B.Eng. degree in Eletrionic Engineering at the Chinese University of Hong Kong in 2018, and M.Sc. degree in ECE at UCSD in 2021.

My research focuses on machine learning and statistical signal processing. I am currently working on probabilistic modeling and machine learning algorithms on machine perception and sensing problems such as multi-object tracking and SLAM.

Selected Publications

  1. Asilomar
    A Belief Propagation Method for Direct Multipath-Based SLAM
    Mingchao Liang, Erik Leitinger, and Florian Meyer
    in Asilomar Conference on Signals, Systems, and Computers (ACSSC), 2023
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  2. IEEE TSP
    Neural Enhanced Belief Propagation for Multiobject Tracking
    Mingchao Liang, and Florian Meyer
    IEEE Transactions on Signal Processing (IEEE TSP), Sep 2023
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  3. IEEE SPL
    A BP Method for Track-Before-Detect
    Mingchao Liang, Thomas Kropfreiter, and Florian Meyer
    IEEE Signal Processing Letter (IEEE SPL), Jul 2023
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  4. IEEE SSP
    Neural Enhanced Belief Propagation for Cooperative Localization
    Mingchao Liang, and Florian Meyer
    In IEEE Statistical Signal Processing Workshop (SSP), Jul 2021
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