Wearable Big Data Pertinence Learning with Deep Spatiotemporal co-Mining. - Junhua Wong; Qingxue Zhang (I2MTC, 2022)

Deep Convolutional Autoencoder for Energy-efficient Smart Health Wearables In the Era of Big Data. - Junhua Wong; Qingxue Zhang (IPCCC, 2022)

Deep Knowledge Distillation Learning for Efficient Wearable Data Mining on the Edge. - Junhua Wong; Qingxue Zhang (ICCE, 2023)

Deep Learning of Sparse Patterns in Medical IoT for Efficient Big Data Harnessing. - Junhua Wong; Qingxue Zhang (IEEE Access, 2023)

Efficient IoT Big Data Streaming With Deep-Learning-Enabled Dynamics. - Junhua Wong; Vincenzo Piuri; Fabio Scotti; Qingxue Zhang (IEEE Internet Things J., 2023)

Ultra-Efficient Edge Cardiac Disease Detection Towards Real-Time Precision Health. - Junhua Wong; Jeanne Nerbonne; Qingxue Zhang (IEEE Access, 2024)