FPL Demo: A Learning-Based Motion Artefact Detector for Heterogeneous Platforms. - Yunyi Zhao; Yunjia Xia; Rui C. V. Loureiro; Hubin Zhao; Uwe Dolinsky; Shufan Yang (FPL, 2023)

Edge Acceleration for Machine Learning-based Motion Artifact Detection on fNIRS Dataset. - Yunyi Zhao; Yunjia Xia; Rui C. V. Loureiro; Hubin Zhao; Uwe Dolinsky; Shufan Yang (IWOCL, 2023)

Online Cooperative Optimal Power Scheduling of Multiple Microgrids via Hierarchical Imitation Learning. - Yunyi Zhao; Shuhua Gao; Jing Wang 050; Congcong Li; Ming Yu 004; Cheng Xiang 001 (ICCA, 2024)

A Real-Time Machine Learning Module for Motion Artifact Detection in fNIRS. - Renas Ercan; Yunjia Xia; Yunyi Zhao; Rui C. V. Loureiro; Shufan Yang; Hubin Zhao (ISCAS, 2024)

Practical Battery Health Monitoring using Uncertainty-Aware Bayesian Neural Network. - Yunyi Zhao; Wei Zhang 082; Qingyu Yan; Man-Fai Ng; B. Sivaneasan; Cheng Xiang 001 (VTC Fall, 2024)

BatSort: Enhanced Battery Classification with Transfer Learning for Battery Sorting and Recycling. - Yunyi Zhao; Wei Zhang 082; Erhai Hu; Qingyu Alex Yan; Cheng Xiang 001; King-Jet Tseng; Dusit Niyato (CoRR, 2024)

Practical Battery Health Monitoring using Uncertainty-Aware Bayesian Neural Network. - Yunyi Zhao; Zhang Wei; Qingyu Yan; Man-Fai Ng; B. Sivaneasan; Cheng Xiang 001 (CoRR, 2024)

An Ultralow-Power Real-Time Machine Learning Based fNIRS Motion Artifacts Detection. - Renas Ercan; Yunjia Xia; Yunyi Zhao; Rui C. V. Loureiro; Shufan Yang; Hubin Zhao (IEEE Trans. Very Large Scale Integr. Syst., 2024)

Data-Driven Calibration for Wearable Brain Functional Imaging Devices. - Beiyin Pang; Yunyi Zhao; Shufan Yang (CEC, 2025)

Diffusion-Modeled Reinforcement Learning for Carbon and Risk-Aware Microgrid Optimization. - Yunyi Zhao; Wei Zhang 082; Cheng Xiang 001; Hongyang Du; Dusit Niyato; Shuhua Gao (CoRR, 2025)