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researcher

A. Ding

21 papers hereh-index 232.3k citations102 works total

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

author position
  • first author3
  • middle author8
  • last author9

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CR4
  • cs.NI4
  • cs.DC3
  • cs.LG3
  • cs.SD2
  • cs.CY1
same name
  • A. Ding — 5 papers, h 5
  • A. Ding — 3 papers, h 2
  • A. Ding — 3 papers, h 2
  • A. Ding — 2 papers, h 21
  • A. Ding — 2 papers, h 6
  • A. Ding — 2 papers, h 4

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
20172023
most cited6G White Paper on Edge Intelligence

126 citations · 416 across the 20 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.LG2020★ 13 cited

Machine Learning Systems in the IoT: Trustworthiness Trade-offs for Edge Intelligence

Wiebke Toussaint, Aaron Yi Ding

Machine learning systems (MLSys) are emerging in the Internet of Things (IoT) to provision edge intelligence, which is paving our way towards the vision of ubiquitous intelligence.…

cs.CY2020★ 1 cited

Machine Learning Systems for Intelligent Services in the IoT: A Survey

Wiebke Toussaint, Aaron Yi Ding

Machine learning (ML) technologies are emerging in the Internet of Things (IoT) to provision intelligent services. This survey moves beyond existing ML algorithms and cloud-driven…

eess.SP2020

Enabling Seamless Device Association with DevLoc using Light Bulb Networks for Indoor IoT Environments

Michael Haus, Jörg Ott, Aaron Yi Ding

To enable serendipitous interaction for indoor IoT environments, spontaneous device associations are of particular interest so that users set up a connection in an ad-hoc manner. B…

cs.DC2020★ 126 cited

6G White Paper on Edge Intelligence

Ella Peltonen, Mehdi Bennis, Michele Capobianco +16

In this white paper we provide a vision for 6G Edge Intelligence. Moving towards 5G and beyond the future 6G networks, intelligent solutions utilizing data-driven machine learning…

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