5 papers
Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms
Ninghui Feng, Songning Lai, Xin Zhou +9
In real-world time series forecasting, uncertainty and lack of reliable evaluation pose significant challenges. Notably, forecasting errors often arise from underfitting in-distrib…
Case-based reasoning approach for diagnostic screening of children with developmental delays
Zichen Song, Jiakang Li, Songning Lai +1
According to the World Health Organization, the population of children with developmental delays constitutes approximately 6% to 9% of the total population. Based on the number of…
CCSRP: Robust Pruning of Spiking Neural Networks through Cooperative Coevolution
Zichen Song, Jiakang Li, Songning Lai +1
Spiking neural networks (SNNs) have shown promise in various dynamic visual tasks, yet those ready for practical deployment often lack the compactness and robustness essential in r…
TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks
Ninghui Feng, Songning Lai, Jiayu Yang +3
Time series forecasting has become an increasingly popular research area due to its critical applications in various real-world domains such as traffic management, weather predicti…
FTS: A Framework to Find a Faithful TimeSieve
Songning Lai, Ninghui Feng, Haochen Sui +5
The field of time series forecasting has garnered significant attention in recent years, prompting the development of advanced models like TimeSieve, which demonstrates impressive…