activity
20172023
most citedStochastic Configuration Networks: Fundamentals and Algorithms

729 citations · 807 across the 13 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.IT2023★ 2 cited

Integrated Sensing and Communications for IoT: Synergies with Key 6G Technology Enablers

Aryan Kaushik, Rohit Singh, Ming Li +7

The Internet of Things (IoT) and wireless generations have been evolving simultaneously for the past few decades. Built upon wireless communication and sensing technologies, IoT ne…

cs.CV2023

MV-ROPE: Multi-view Constraints for Robust Category-level Object Pose and Size Estimation

Jiaqi Yang, Yucong Chen, Xiangting Meng +6

Recently there has been a growing interest in category-level object pose and size estimation, and prevailing methods commonly rely on single view RGB-D images. However, one disadva…

cs.LG2023

Robust Graph Structure Learning with the Alignment of Features and Adjacency Matrix

Shaogao Lv, Gang Wen, Shiyu Liu +2

To improve the robustness of graph neural networks (GNN), graph structure learning (GSL) has attracted great interest due to the pervasiveness of noise in graph data. Many approach…

cs.LG2023

Stability and Generalization of lp-Regularized Stochastic Learning for GCN

Shiyu Liu, Linsen Wei, Shaogao Lv +1

Graph convolutional networks (GCN) are viewed as one of the most popular representations among the variants of graph neural networks over graph data and have shown powerful perform…

cs.LG2023★ 2 cited

Permutation Equivariant Graph Framelets for Heterophilous Graph Learning

Jianfei Li, Ruigang Zheng, Han Feng +2

The nature of heterophilous graphs is significantly different from that of homophilous graphs, which causes difficulties in early graph neural network models and suggests aggregati…