Embedded Classification of Local Field Potentials Recorded from Rat Barrel Cortex with Implanted Multi-Electrode Array. - Xiaying Wang; Michele Magno; Lukas Cavigelli; Mufti Mahmud; Claudia Cecchetto; Stefano Vassanelli; Luca Benini (BioCAS, 2018)

Rat Cortical Layers Classification extracting Evoked Local Field Potential Images with Implanted Multi-Electrode Sensor. - Xiaying Wang; Michele Magno; Lukas Cavigelli; Mufti Mahmud; Claudia Cecchetto; Stefano Vassanelli; Luca Benini (HealthCom, 2018)

A Novel Method of Generating Deformation Time-Series Using Interferometric Synthetic Aperture Radar and Its Application in Mexico City. - Xiaying Wang; Qin Zhang 010; Chaoying Zhao; Feifei Qu; Juqing Zhang (Remote. Sens., 2018)

HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data. - Xiaying Wang; Lukas Cavigelli; Manuel Eggimann; Michele Magno; Luca Benini (CoRR, 2019)

InfiniWolf: Energy Efficient Smart Bracelet for Edge Computing with Dual Source Energy Harvesting. - Michele Magno; Xiaying Wang; Manuel Eggimann; Lukas Cavigelli; Luca Benini (DATE, 2020)

An Accurate EEGNet-based Motor-Imagery Brain-Computer Interface for Low-Power Edge Computing. - Xiaying Wang; Michael Hersche; Batuhan Tömekce; Burak Kaya; Michele Magno; Luca Benini (MeMeA, 2020)

Q-EEGNet: an Energy-Efficient 8-bit Quantized Parallel EEGNet Implementation for Edge Motor-Imagery Brain-Machine Interfaces. - Tibor Schneider; Xiaying Wang; Michael Hersche; Lukas Cavigelli; Luca Benini (SMARTCOMP, 2020)

EEG-TCNet: An Accurate Temporal Convolutional Network for Embedded Motor-Imagery Brain-Machine Interfaces. - Thorir Mar Ingolfsson; Michael Hersche; Xiaying Wang; Nobuaki Kobayashi; Lukas Cavigelli; Luca Benini (SMC, 2020)

FANN-on-MCU: An Open-Source Toolkit for Energy-Efficient Neural Network Inference at the Edge of the Internet of Things. - Xiaying Wang; Michele Magno; Lukas Cavigelli; Luca Benini (IEEE Internet Things J., 2020)

ECG-TCN: Wearable Cardiac Arrhythmia Detection with a Temporal Convolutional Network. - Thorir Mar Ingolfsson; Xiaying Wang; Michael Hersche; Alessio Burrello; Lukas Cavigelli; Luca Benini (AICAS, 2021)

Towards Long-term Non-invasive Monitoring for Epilepsy via Wearable EEG Devices. - Thorir Mar Ingolfsson; Andrea Cossettini; Xiaying Wang; Enrico Tabanelli; Giuseppe Tagliavini; Philippe Ryvlin; Luca Benini; Simone Benatti (BioCAS, 2021)

Mixed-Precision Quantization and Parallel Implementation of Multispectral Riemannian Classification for Brain-Machine Interfaces. - Xiaying Wang; Tibor Schneider; Michael Hersche; Lukas Cavigelli; Luca Benini (ISCAS, 2021)

SmartHand: Towards Embedded Smart Hands for Prosthetic and Robotic Applications. - Xiaying Wang; Fabian Geiger; Vlad Niculescu; Michele Magno; Luca Benini (CoRR, 2021)

Sub-100 $ mu$W Multispectral Riemannian Classification for EEG-Based Brain-Machine Interfaces. - Xiaying Wang; Lukas Cavigelli; Tibor Schneider; Luca Benini (IEEE Trans. Biomed. Circuits Syst., 2021)

An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface. - Jiawei Liao; Lars Widmer; Xiaying Wang; Alfio Di Mauro; Samuel R. Nason-Tomaszewski; Cynthia A. Chestek; Luca Benini; Taekwang Jang (AICAS, 2022)

Reducing neural architecture search spaces with training-free statistics and computational graph clustering. - Thorir Mar Ingolfsson; Mark Vero; Xiaying Wang; Lorenzo Lamberti; Luca Benini; Matteo Spallanzani (CF, 2022)

Exploring Automatic Gym Workouts Recognition Locally on Wearable Resource-Constrained Devices. - Sizhen Bian; Xiaying Wang; Tommaso Polonelli; Michele Magno (IGSC, 2022)

Leveraging Tactile Sensors for Low Latency Embedded Smart Hands for Prosthetic and Robotic Applications. - Xiaying Wang; Fabian Geiger; Vlad Niculescu; Michele Magno; Luca Benini (IEEE Trans. Instrum. Meas., 2022)

EpiDeNet: An Energy-Efficient Approach to Seizure Detection for Embedded Systems. - Thorir Mar Ingolfsson; Upasana Chakraborty; Xiaying Wang; Sándor Beniczky; Pauline Ducouret; Simone Benatti; Philippe Ryvlin; Andrea Cossettini; Luca Benini (BioCAS, 2023)

Enhancing Performance, Calibration Time and Efficiency in Brain-Machine Interfaces through Transfer Learning and Wearable EEG Technology. - Xiaying Wang; Lan Mei; Victor Javier Kartsch; Andrea Cossettini; Luca Benini (BioCAS, 2023)

Optimization and Deployment of Deep Neural Networks for PPG-based Blood Pressure Estimation Targeting Low-power Wearables. - Alessio Burrello; Francesco Carlucci; Giovanni Pollo; Xiaying Wang; Massimo Poncino; Enrico Macii; Luca Benini; Daniele Jahier Pagliari (BioCAS, 2024)

VowelNet: Enhancing Communication with Wearable EEG-Based Vowel Imagery. - Thorir Mar Ingolfsson; Victor Javier Kartsch Morinigo; Andrea Cossettini; Xiaying Wang; Luca Benini (BioCAS, 2024)

Train-On-Request: An On-Device Continual Learning Workflow for Adaptive Real-World Brain Machine Interfaces. - Lan Mei; Cristian Cioflan; Thorir Mar Ingolfsson; Victor Javier Kartsch; Andrea Cossettini; Xiaying Wang; Luca Benini (BioCAS, 2024)

SzCORE: A Seizure Community Open-source Research Evaluation framework for the validation of EEG-based automated seizure detection algorithms. - Jonathan Dan; Una Pale; Alireza Amirshahi; William Cappelletti; Thorir Mar Ingolfsson; Xiaying Wang; Andrea Cossettini; Adriano Bernini; Luca Benini; Sándor Beniczky; David Atienza; Philippe Ryvlin (CoRR, 2024)

EnhancePPG: Improving PPG-based Heart Rate Estimation with Self-Supervision and Augmentation. - Luca Benfenati; Sofia Belloni; Alessio Burrello; Panagiotis Kasnesis; Xiaying Wang; Luca Benini; Massimo Poncino; Enrico Macii; Daniele Jahier Pagliari (CoRR, 2024)

BrainFuseNet: Enhancing Wearable Seizure Detection Through EEG-PPG-Accelerometer Sensor Fusion and Efficient Edge Deployment. - Thorir Mar Ingolfsson; Xiaying Wang; Upasana Chakraborty; Simone Benatti; Adriano Bernini; Pauline Ducouret; Philippe Ryvlin; Sándor Beniczky; Luca Benini; Andrea Cossettini (IEEE Trans. Biomed. Circuits Syst., 2024)

TinyEEGConformer: An Attention-Based EEG Decoding Model for Embedded Systems. - Nana Ofosu Asante; Lan Mei; Xiaying Wang; Michele Magno (SAS, 2025)

CEReBrO: Compact Encoder for Representations of Brain Oscillations Using Efficient Alternating Attention. - Alexandru Dimofte; Glenn Anta Bucagu; Thorir Mar Ingolfsson; Xiaying Wang; Andrea Cossettini; Luca Benini; Yawei Li 001 (CoRR, 2025)

FEMBA: Efficient and Scalable EEG Analysis with a Bidirectional Mamba Foundation Model. - Anna Tegon; Thorir Mar Ingolfsson; Xiaying Wang; Luca Benini; Yawei Li 001 (CoRR, 2025)

An Ultra-Low Power Wearable BMI System With Continual Learning Capabilities. - Lan Mei; Thorir Mar Ingolfsson; Cristian Cioflan; Victor Javier Kartsch Morinigo; Andrea Cossettini; Xiaying Wang; Luca Benini (IEEE Trans. Biomed. Circuits Syst., 2025)