Hu Cui

11 papers B 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cross-Dataset Representation Learning for Unsupervised Deep Clustering in Human Activity Recognition. IEEE Access Tomoya Takatsu, Tessai Hayama, Hu Cui
2025	J	`jnl`	DSTSA-GCN: Advancing Skeleton-Based Gesture Recognition with Semantic-Aware Spatio-Temporal Topology Modeling. CoRR Hu Cui, Renjing Huang, Ruoyu Zhang, Tessai Hayama
2025	J	`jnl`	Dstsa-gcn: Advancing skeleton-based gesture recognition with semantic-aware spatio-temporal topology modeling. Neurocomputing Hu Cui, Renjing Huang, Ruoyu Zhang, Tessai Hayama
2025	B	`conf`	HGMamba: Enhancing 3D Human Pose Estimation with a HyperGCN-Mamba Network. IJCNN Hu Cui, Tessai Hayama
2025	J	`jnl`	HGMamba: Enhancing 3D Human Pose Estimation with a HyperGCN-Mamba Network. CoRR Hu Cui, Tessai Hayama
2025	J	`jnl`	SasMamba: A Lightweight Structure-Aware Stride State Space Model for 3D Human Pose Estimation. CoRR Hu Cui, Wenqiang Hua, Renjing Huang, Shurui Jia, Tessai Hayama
2024	J	`jnl`	Joint-Partition Group Attention for skeleton-based action recognition. Signal Process. Hu Cui, Tessai Hayama
2024	J	`jnl`	STSD: spatial-temporal semantic decomposition transformer for skeleton-based action recognition. Multim. Syst. Hu Cui, Tessai Hayama
2023	—	`conf`	Automated Classification of Exercise Exertion Levels Based on Real-Time Wearable Physiological Signal Monitoring. MIE Aref Smiley, Ihor Havrylchuk, Te-Yi Tsai, Elena Zakashansky, Aileen S. Gabriel, Taulant Xhakli, Wanting Cui, Irena Parvanova, Hu Cui, Joseph Finkelstein
2023	—	`conf`	Exercise Exertion Levels Prediction Based on Real-Time Wearable Physiological Signal Monitoring. ICIMTH Aref Smiley, Te-Yi Tsai, Elena Zakashansky, Aileen S. Gabriel, Taulant Xhakli, Wanting Cui, Xingyue Huo, Ihor Havrylchuk, Hu Cui, Joseph Finkelstein
2022	J	`jnl`	LGST-Drop: label-guided structural dropout for spatial-temporal convolutional neural networks. J. Electronic Imaging Hu Cui, Renjing Huang, Ruoyu Zhang, Chuhua Huang