LGST-Drop: label-guided structural dropout for spatial-temporal convolutional neural networks. - Hu Cui; Renjing Huang; Ruoyu Zhang; Chuhua Huang (J. Electronic Imaging, 2022)

Exercise Exertion Levels Prediction Based on Real-Time Wearable Physiological Signal Monitoring. - Aref Smiley; Te-Yi Tsai; Elena Zakashansky; Aileen S. Gabriel; Taulant Xhakli; Wanting Cui; Xingyue Huo; Ihor Havrylchuk; Hu Cui; Joseph Finkelstein (ICIMTH, 2023)

Automated Classification of Exercise Exertion Levels Based on Real-Time Wearable Physiological Signal Monitoring. - Aref Smiley; Ihor Havrylchuk; Te-Yi Tsai; Elena Zakashansky; Aileen S. Gabriel; Taulant Xhakli; Wanting Cui; Irena Parvanova; Hu Cui; Joseph Finkelstein (MIE, 2023)

Joint-Partition Group Attention for skeleton-based action recognition. - Hu Cui; Tessai Hayama (Signal Process., 2024)

STSD: spatial-temporal semantic decomposition transformer for skeleton-based action recognition. - Hu Cui; Tessai Hayama (Multim. Syst., 2024)

Cross-Dataset Representation Learning for Unsupervised Deep Clustering in Human Activity Recognition. - Tomoya Takatsu; Tessai Hayama; Hu Cui (IEEE Access, 2025)

Dstsa-gcn: Advancing skeleton-based gesture recognition with semantic-aware spatio-temporal topology modeling. - Hu Cui; Renjing Huang; Ruoyu Zhang; Tessai Hayama (Neurocomputing, 2025)

HGMamba: Enhancing 3D Human Pose Estimation with a HyperGCN-Mamba Network. - Hu Cui; Tessai Hayama (CoRR, 2025)