A task-agnostic ExG representation learning project that scales everyday sensing with physiology-informed tokenization

Jan 15, 2026

A sparse test-time adaptation framework that significantly reduces adaptation latency while preserving accuracy on edge devices

Oct 1, 2025

Exploring model adaptation methods that enable real-time inference on extremely resource-constrained devices

Apr 27, 2024

Adapts pre-trained representation from large-scale images to diverse IMU sensing tasks

Feb 27, 2024

Exploring mobile system that uses a flickering flashlight and the rolling shutter effect to quickly detect hidden cameras amidst rising illegal filming crimess

Oct 25, 2023

Addressed the extreme noniid scenario, where the classification label and features are simultaneously non-iid via Domain-aware Contrastive Federated Learning with Major Domain Group Selection

Oct 23, 2023

Developing MANET distributed resource allocation algorithms, routing protocols, and routing metrics suitable for cluster robot operation

Feb 11, 2023

Developed prototype chair with a tablet app, featuring AI-based heart height estimation, BLE-controlled laser and motor, and cloud server measurement management.

Dec 1, 2020