U-TOE: Universal TinyML On-Board Evaluation Toolkit for Low-Power IoT. - Zhaolan Huang; Koen Zandberg; Kaspar Schleiser; Emmanuel Baccelli (PEMWN, 2023)

On-Device Evaluation Toolkit for Machine Learning on Heterogeneous Low-Power System-on-Chip. - Zhaolan Huang; Koen Zandberg; Kaspar Schleiser; Emmanuel Baccelli (CoRR, 2023)

TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors. - Zhaolan Huang; Adrien Tousnakhoff; Polina Kozyr; Roman Rehausen; F. Bießmann; Robert Lachlan; Cédric Adjih; Emmanuel Baccelli (IS2, 2024)

TDMiL: Tiny Distributed Machine Learning for Microcontroller-Based Interconnected Devices. - Mayank Gulati; Koen Zandberg; Zhaolan Huang; Gerhard Wunder; Cédric Adjih; Emmanuel Baccelli (IEEE Access, 2024)

TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors. - Zhaolan Huang; Adrien Tousnakhoff; Polina Kozyr; Roman Rehausen; Felix Bießmann; Robert Lachlan; Cédric Adjih; Emmanuel Baccelli (CoRR, 2024)

RIOT-ML: toolkit for over-the-air secure updates and performance evaluation of TinyML models. - Zhaolan Huang; Koen Zandberg; Kaspar Schleiser; Emmanuel Baccelli (Ann. des Télécommunications, 2025)

msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML. - Zhaolan Huang; Emmanuel Baccelli (CoRR, 2025)