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researcher

Yiran He

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SP4

identity via Semantic Scholar / OpenAlex

activity
20192022
most citedIdentifying First-order Lowpass Graph Signals using Perron Frobenius Theorem

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

eess.SP2022

Product Graph Learning from Multi-attribute Graph Signals with Inter-layer Coupling

Chenyue Zhang, Yiran He, Hoi-To Wai

This paper considers learning a product graph from multi-attribute graph signals. Our work is motivated by the widespread presence of multilayer networks that feature interactions…

eess.SP2021

On the Stability of Low Pass Graph Filter With a Large Number of Edge Rewires

Hoang-Son Nguyen, Yiran He, Hoi-To Wai

Recently, the stability of graph filters has been studied as one of the key theoretical properties driving the highly successful graph convolutional neural networks (GCNs). The sta…

eess.SP2021★ 1 cited

Identifying First-order Lowpass Graph Signals using Perron Frobenius Theorem

Yiran He, Hoi-To Wai

This paper is concerned with the blind identification of graph filters from graph signals. Our aim is to determine if the graph filter generating the graph signals is first-order l…

eess.SP2019

Estimating Centrality Blindly from Low-pass Filtered Graph Signals

Yiran He, Hoi-To Wai

This paper considers blind methods for centrality estimation from graph signals. We model graph signals as the outcome of an unknown low-pass graph filter excited with influences g…

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