A Multiscale Windows Deep Learning Aproach For Sensor-Based Human Activity Recogniton. - Furong Duan; Tao Zhu 001; Jinqiang Wang; Zhenyu Liu (ICDIS, 2022)

A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation. - Furong Duan; Tao Zhu 001; Jinqiang Wang; Liming Chen 001; Huansheng Ning; Yaping Wan (CoRR, 2023)

A Multitask Deep Learning Approach for Sensor-Based Human Activity Recognition and Segmentation. - Furong Duan; Tao Zhu 001; Jinqiang Wang; Liming Chen 001; Huansheng Ning; Yaping Wan (IEEE Trans. Instrum. Meas., 2023)

Evaluation of Human Activity Recognition and Segmentation Based on the DETR Model. - Shuangjian Li; Lulu Ban; Furong Duan; Yaping Wan; Tao Zhu 001 (UCAmI, 2024)

HARMamba: Efficient Wearable Sensor Human Activity Recognition Based on Bidirectional Selective SSM. - Shuangjian Li; Tao Zhu 001; Furong Duan; Liming Chen 001; Huansheng Ning; Yaping Wan (CoRR, 2024)

FLOW: Fusing and Shuffling Global and Local Views for Cross-User Human Activity Recognition with IMUs. - Qi Qiu; Tao Zhu 001; Furong Duan; Kevin I-Kai Wang; Liming Chen 001; Mingxing Nie; Yaping Wan (CoRR, 2024)

HARMamba: Efficient and Lightweight Wearable Sensor Human Activity Recognition Based on Bidirectional Mamba. - Shuangjian Li; Tao Zhu 001; Furong Duan; Liming Chen 001; Huansheng Ning; Christopher Nugent; Yaping Wan (IEEE Internet Things J., 2025)