most citedGeneric Detectability and Isolability of Topology Failures in Networked Linear Systems

12 citations · 38 across the 8 of their papers we have counts for

collaborators

8 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.AS2020★ 4 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★ 4 cited

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.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…

cs.CV2020★ 2 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.CL2020★ 5 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…

math.AP2020★ 2 cited

Rigorous justification of the Fokker-Planck equations of neural networks based on an iteration perspective

Jian-guo Liu, Ziheng Wang, Yuan Zhang +1

In this work, the primary goal is to establish rigorous connection between the Fokker-Planck equation of neural networks with its microscopic model: the diffusion-jump stochastic p…

eess.SY2020★ 12 cited

Generic Detectability and Isolability of Topology Failures in Networked Linear Systems

Yuan Zhang, Yuanqing Xia, Jinhui Zhang +1

This paper studies the possibility of detecting and isolating topology failures (including link failures and node failures) of a networked system from subsystem measurements, in wh…