Zhipeng Wang

LatentMT achieves state-of-the-art translation performance on low-resource languages using a compact model that is three to five times smaller than its competitors.

MSCENet achieves unprecedented accuracy in detecting anomalies in multivariate time series by integrating advanced spatio-temporal learning with graph-based correlation modeling.