3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation
Yakun Chen, Kaize Shi, Zhangkai Wu +5
Spatiotemporal data analysis is pivotal across various domains, such as transportation, meteorology, and healthcare. The data collected in real-world scenarios are often incomplete…
cs.LG2024★ 3 cited
Deep Coupling Network For Multivariate Time Series Forecasting
Kun Yi, Qi Zhang, Hui He +4
Multivariate time series (MTS) forecasting is crucial in many real-world applications. To achieve accurate MTS forecasting, it is essential to simultaneously consider both intra- a…
cs.CV2024★ 1 cited
APLe: Token-Wise Adaptive for Multi-Modal Prompt Learning
Guiming Cao, Kaize Shi, Hong Fu +2
Pre-trained Vision-Language (V-L) models set the benchmark for generalization to downstream tasks among the noteworthy contenders. Many characteristics of the V-L model have been e…