14 citations · 27 across the 5 of their papers we have counts for
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cs.LG2021★ 1 cited
AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations
Hongwei Zhang, Weidong Zou, Hongbo Zhao +4
Adaptive optimization methods have been widely used in deep learning. They scale the learning rates adaptively according to the past gradient, which has been shown to be effective…
cs.LG2021★ 14 cited
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models
Tijin Yan, Hongwei Zhang, Tong Zhou +2
Multivariate time series prediction has attracted a lot of attention because of its wide applications such as intelligence transportation, AIOps. Generative models have achieved im…
cs.LG2020★ 9 cited
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective
Hongwei Zhang, Tijin Yan, Zenjun Xie +2
Graph convolutional networks (GCNs) have achieved promising performance on various graph-based tasks. However they suffer from over-smoothing when stacking more layers. In this pap…