13 citations · 14 across the 3 of their papers we have counts for
3 papers
cs.DC2023
Distributed Optimisation with Linear Equality and Inequality Constraints using PDMM
Richard Heusdens, Guoqiang Zhang
In this paper, we consider the problem of distributed optimisation of a separable convex cost function over a graph, where every edge and node in the graph could carry both linear…
cs.CV2021★ 1 cited
A Stacking Ensemble Approach for Supervised Video Summarization
Yubo An, Shenghui Zhao, Guoqiang Zhang
Video summarization methods are usually classified into shot-level or frame-level methods, which are individually used in a general way. This paper investigates the underlying comp…
cs.LG2021★ 13 cited
SSFG: Stochastically Scaling Features and Gradients for Regularizing Graph Convolutional Networks
Haimin Zhang, Min Xu, Guoqiang Zhang +1
Graph convolutional networks have been successfully applied in various graph-based tasks. In a typical graph convolutional layer, node features are updated by aggregating neighborh…