most citedScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models

14 citations · 27 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20211 cited

Google Landmark Retrieval 2021 Competition Third Place Solution

Qishen Ha, Bo Liu, Hongwei Zhang

We present our solutions to the Google Landmark Challenges 2021, for both the retrieval and the recognition tracks. Both solutions are ensembles of transformers and ConvNet models…

cs.LG20211 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.LG202114 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.LG20209 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…

stat.ML20202 cited

Stochastic Graph Recurrent Neural Network

Tijin Yan, Hongwei Zhang, Zirui Li +1

Representation learning over graph structure data has been widely studied due to its wide application prospects. However, previous methods mainly focus on static graphs while many…