Mai Thanh Nhat Truong

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have a nice day

Truong was born Vietnamese and is working in South Korea as an industrial AI researcher. His research interests include, but are not limited to, physics-informed deep learning, physical AI, computer vision, signal processing, machine learning paradigms, and mathematical modeling.

He is happy to answer questions regarding his research. He can be reached via moc.liamzom@ub6ymgrib (this is a masked email address to fight bots, he will reply using his real email, sorry for the inconvenience), or you can open issues on his GitHub repositories.

His current time is

selected publications

Truong's name was altered in some publications for aesthetic reasons.
For accurate citations, please refer to the publishers' data.


  1. TPAMI
    Attention-guided low-rank tensor completion
    Mai Thanh Nhat Truong, Edmund Y. Lam, and Chul Lee
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
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  2. TGRS
    Deep unfolding tensor rank minimization with generalized detail injection for pansharpening
    Mai Thanh Nhat Truong, Edmund Y. Lam, and Chul Lee
    IEEE Transactions on Geoscience and Remote Sensing, 2024
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  3. TIP
    Deep unrolled low-rank tensor completion for high dynamic
    range imaging
    Mai Thanh Nhat Truong, Edmund Y. Lam, and Chul Lee
    IEEE Transactions on Image Processing, 2022
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  4. SoCo
    Automatic image thresholding using Otsu’s method and entropy weighting scheme for surface defect detection
    Mai Thanh Nhat Truong, and Sanghoon Kim
    Soft Computing, 2018
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