most citedRevisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective

9 citations · 20 across the 5 of their papers we have counts for

collaborators

7 papers

math.CV2021

Optimal Hölder regularity for the problem on product domains in

Yuan Zhang

The note concerns the problem on product domains in . We show that there exists a bounded solution operator from into itself, $k\in \mathbb Z…

eess.AS20204 cited

Interactive Speech and Noise Modeling for Speech Enhancement

Chengyu Zheng, Xiulian Peng, Yuan Zhang +2

Speech enhancement is challenging because of the diversity of background noise types. Most of the existing methods are focused on modelling the speech rather than the noise. In thi…

cs.CV2020

Cross-Layer Distillation with Semantic Calibration

Defang Chen, Jian-Ping Mei, Yuan Zhang +3

Knowledge distillation is a technique to enhance the generalization ability of a student model by exploiting outputs from a teacher model. Recently, feature-map based variants expl…

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…

cs.CV20202 cited

Improving Monocular Depth Estimation by Leveraging Structural Awareness and Complementary Datasets

Tian Chen, Shijie An, Yuan Zhang +4

Monocular depth estimation plays a crucial role in 3D recognition and understanding. One key limitation of existing approaches lies in their lack of structural information exploita…

cs.CL20205 cited

Mapping Natural Language Instructions to Mobile UI Action Sequences

Yang Li, Jiacong He, Xin Zhou +2

We present a new problem: grounding natural language instructions to mobile user interface actions, and create three new datasets for it. For full task evaluation, we create PIXELH…