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Feng Ji

44 papers hereh-index 11468 citations67 works total

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

author position
  • first author20
  • middle author23

Across the 43 of 44 papers where every author was matched, so the position is known.

fields
  • eess.SP28
  • cs.LG10
  • cs.SI3
  • stat.ML2
  • cs.CV1
same name
  • Feng Ji — 21 papers, h 25
  • Feng Ji — 6 papers, h 1
  • Feng Ji — 5 papers, h 1
  • Feng Ji — 3 papers, h 2
  • Feng Ji — 3 papers, h 2
  • Feng Ji — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedA Hilbert Space Theory of Generalized Graph Signal Processing

45 citations · 83 across the 43 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

eess.SP2020

Signal processing with a distribution of graph operators

Feng Ji, Wee Peng Tay

In this paper, we develop a signal processing framework of a network without explicit knowledge of the network topology. Instead, we make use of knowledge on the distribution of op…

eess.SP2020

Sampling Theory of Bandlimited Continuous-Time Graph Signals

Feng Ji, Hui Feng, Hang Sheng +1

A continuous-time graph signal can be viewed as a time series of graph signals. It generalizes both the classical continuous-time signal and ordinary graph signal. Therefore, such…

eess.SP2020★ 5 cited

Signal processing on simplicial complexes

Feng Ji, Giacomo Kahn, Wee Peng Tay

Theoretical development and applications of graph signal processing (GSP) have attracted much attention. In classical GSP, the underlying structures are restricted in terms of dime…

eess.SP2020

Subgraph Signal Processing

Feng Ji, Wee Peng Tay, Giacomo Kahn

Graph signal processing, like the graph Fourier transform, requires the full graph signal at every vertex of the graph. However, in practice, only signals at a subset of vertices m…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.