24 citations · 28 across the 5 of their papers we have counts for
4 papers · 1 filter
Towards Robust Time Series Learning via Capacity-Centric Modulation
Siru Zhong, Senzhang Wang, James T. Kwok +1
Sample-level reliability heterogeneity is common in deep time series learning. Standard training pipelines apply a uniform regularization setting to all samples, which can under-re…
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…
Score-CDM: Score-Weighted Convolutional Diffusion Model for Multivariate Time Series Imputation
S. Zhang, S. Wang, H. Miao +3
Multivariant time series (MTS) data are usually incomplete in real scenarios, and imputing the incomplete MTS is practically important to facilitate various time series mining task…
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
Wei Ju, Siyu Yi, Yifan Wang +10
Graph-structured data exhibits universality and widespread applicability across diverse domains, such as social network analysis, biochemistry, financial fraud detection, and netwo…