1 citations · 1 across the 4 of their papers we have counts for
5 papers
Amplified moments and a refinement of the quasi-Riemann hypothesis
Hejian Sang, Yuanda Xu
Recently, OpenAI announced a uniform zero-free half-plane for finite-order Hecke -functions over , together with its transfer to Dirichlet -funct…
SOTFormer: A Minimal Transformer for Unified Object Tracking and Trajectory Prediction
Zhongping Dong, Pengyang Yu, Shuangjian Li +2
Accurate single-object tracking and short-term motion forecasting remain challenging under occlusion, scale variation, and temporal drift, which disrupt the temporal coherence requ…
HAR-DoReMi: Optimizing Data Mixture for Self-Supervised Human Activity Recognition Across Heterogeneous IMU Datasets
Lulu Ban, Tao Zhu, Xiangqing Lu +7
Cross-dataset Human Activity Recognition (HAR) suffers from limited model generalization, hindering its practical deployment. To address this critical challenge, inspired by the su…
HARMamba: Efficient and Lightweight Wearable Sensor Human Activity Recognition Based on Bidirectional Mamba
Shuangjian Li, Tao Zhu, Furong Duan +4
Wearable sensor-based human activity recognition (HAR) is a critical research domain in activity perception. However, achieving high efficiency and long sequence recognition remain…
P2LHAP:Wearable sensor-based human activity recognition, segmentation and forecast through Patch-to-Label Seq2Seq Transformer
Shuangjian Li, Tao Zhu, Mingxing Nie +3
Traditional deep learning methods struggle to simultaneously segment, recognize, and forecast human activities from sensor data. This limits their usefulness in many fields such as…