Knowledge Distillation Under Ideal Joint Classifier Assumption

no code implementations • 19 Apr 2023 • Huayu Li, Xiwen Chen, Gregory Ditzler, Janet Roveda, Ao Li

Within this context, softmax regression representation learning serves as a widely embraced approach, leveraging a pre-established teacher network to guide the learning process of a diminutive student network.

Domain Adaptation Knowledge Distillation +3

A Transformer-based Diffusion Probabilistic Model for Heart Rate and Blood Pressure Forecasting in Intensive Care Unit

1 code implementation • 16 Jan 2023 • Ping Chang, Huayu Li, Stuart F. Quan, Shuyang Lu, Shu-Fen Wung, Janet Roveda, Ao Li

The TDSTF model showed state-of-the-art performance in predicting vital signs in the ICU, outperforming other models' ability to predict distributions of vital signs and being more computationally efficient.

Time Series Time Series Forecasting

DeScoD-ECG: Deep Score-Based Diffusion Model for ECG Baseline Wander and Noise Removal

1 code implementation • 31 Jul 2022 • Huayu Li, Gregory Ditzler, Janet Roveda, Ao Li

Significance: This study is one of the first to extend the conditional diffusion-based generative model for ECG noise removal, and the DeScoD-ECG has the potential to be widely used in biomedical applications.