4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.RO2024
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction
Zichen Wang, Hao Miao, Senzhang Wang +3
Accurately predicting the trajectory of vehicles is critically important for ensuring safety and reliability in autonomous driving. Although considerable research efforts have been…
cs.LG2024★ 4 cited
PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection
Ronghui Xu, Hao Miao, Senzhang Wang +2
With the proliferation of mobile sensing techniques, huge amounts of time series data are generated and accumulated in various domains, fueling plenty of real-world applications. I…
cs.LG2023
sasdim: self-adaptive noise scaling diffusion model for spatial time series imputation
Shunyang Zhang, Senzhang Wang, Xianzhen Tan +3
Spatial time series imputation is critically important to many real applications such as intelligent transportation and air quality monitoring. Although recent transformer and diff…