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cs.LG2024
Conditional Lagrangian Wasserstein Flow for Time Series Imputation
Weizhu Qian, Dalin Zhang, Yan Zhao +1
Time series imputation is important for numerous real-world applications. To overcome the limitations of diffusion model-based imputation methods, e.g., slow convergence in inferen…
cs.LG2024
LightTR: A Lightweight Framework for Federated Trajectory Recovery
Ziqiao Liu, Hao Miao, Yan Zhao +3
With the proliferation of GPS-equipped edge devices, huge trajectory data is generated and accumulated in various domains, motivating a variety of urban applications. Due to the li…
cs.LG2024
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series
Zhichen Lai, Huan Li, Dalin Zhang +3
Cyber-physical system sensors emit multivariate time series (MTS) that monitor physical system processes. Such time series generally capture unknown numbers of states, each with a…