27 citations · 28 across the 3 of their papers we have counts for
4 papers
BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis
Xiaomin Li, Mykhailo Sakevych, Gentry Atkinson +1
Machine learning tasks involving biomedical signals frequently grapple with issues such as limited data availability, imbalanced datasets, labeling complexities, and the interferen…
TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation
Xiaomin Li, Anne Hee Hiong Ngu, Vangelis Metsis
Signal measurement appearing in the form of time series is one of the most common types of data used in medical machine learning applications. Such datasets are often small in size…
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
Xiaomin Li, Vangelis Metsis, Huangyingrui Wang +1
Signal measurements appearing in the form of time series are one of the most common types of data used in medical machine learning applications. However, such datasets are often sm…
Parallel Blockwise Knowledge Distillation for Deep Neural Network Compression
Cody Blakeney, Xiaomin Li, Yan Yan +1
Deep neural networks (DNNs) have been extremely successful in solving many challenging AI tasks in natural language processing, speech recognition, and computer vision nowadays. Ho…