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Shenghui Li

ورقتان في مجموعة PaperMetrix

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أوراق هذا المؤلف

  1. MetaASSIST: Robust Dialogue State Tracking with Meta Learning

    2022

    Existing dialogue datasets contain lots of noise in their state annotations. Such noise can hurt model training and ultimately lead to poor generalization performance. A general framework named ASSIST has recently been proposed to train …

  2. An Improved Gaussian Sum Extended Kalman Filter With Colored Noise for GNSS/SINS Tightly Coupled Positioning and Attitude Determination Systems

    2024 · IEEE Access

    The Gaussian sum extended Kalman filter (GSEKF), as a nonlinear non-Gaussian filter, disregards the impact of colored noise components in non-Gaussian noise engendered by external interference, which may compromise the estimation accuracy in global navigation …