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Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing.

, , , , , and . AAAI, page 1351-1359. AAAI Press, (2023)

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A High Efficient Compression Method for Power Quality Applications., , and . IEEE Trans. Instrumentation and Measurement, 60 (6): 1976-1985 (2011)Online testing of real-time performance in high-speed train control system., , , and . ITSC, page 1746-1751. IEEE, (2014)Filtering approach to online estimate the position of high-speed train., , , and . ITSC, page 1168-1173. IEEE, (2016)Multi-Label Classification for Power Quality Disturbances by Integrated Deep Learning., and . IEEE Access, (2021)A High Efficient Approach for Power Disturbance Waveform Compression in the View of Heisenberg Uncertainty., , , , , and . IEEE Trans. Ind. Informatics, 15 (5): 2580-2591 (2019)Growth and quality control of MBE-based SiGe-HBT for amplifier applications., , , , , , , , and . Microelectron. J., 34 (5-8): 587-589 (2003)Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing., , , , , and . AAAI, page 1351-1359. AAAI Press, (2023)Novel Method Based on Variational Mode Decomposition and a Random Discriminative Projection Extreme Learning Machine for Multiple Power Quality Disturbance Recognition., , , , , , , and . IEEE Trans. Ind. Informatics, 15 (5): 2915-2926 (2019)Altered brain iron depositions from aging to Parkinson's disease and Alzheimer's disease: A quantitative susceptibility mapping study., , , , , , , , , and 14 other author(s). NeuroImage, (2022)A New Transient Power Quality Disturbances Detection Using Strong Trace Filter., , and . IEEE Trans. Instrumentation and Measurement, 63 (12): 2863-2871 (2014)