Ting-Jun Chen

Comparing Self-Supervised Pretraining Methods and Transfer Configurations for Wrist ECG under Motion

AIR-LLM: Broadcasting AI Weights over Radio for Memory-Free Edge LLM Inference via RF Computing

Next-generation large language models (LLMs) are expanding from the cloud to ubiquitous edge devices. However, edge devices typically either lack the memory to store increasingly large LLM weights or, even with enough memory, spend unaffordable energy on loading the weights. This raises our question: can an edge device...

Evaluating Self-Supervised Pretraining for Wrist-Worn Physiological Signals in Cardiac Estimation and Gesture Recognition

Wearable systems that co-locate electrocardiography (ECG) and electromyography (EMG) on a single platform enable simultaneous cardiovascular monitoring and gesture recognition. Yet, developing robust models for such systems remains challenging due to limited labeled data, low channel counts, and motion-induced artifact...

Radio-Frequency Convolutional Neural Networks

Radio-frequency convolutional neural networks (RF-CNNs), which repurpose existing communication hardware for CNN inference, are introduced and suggest that deployed wireless infrastructure can bring efficient, state-of-the-art AI inference to the billions of devices it already connects.