LabCompass

Yuan‐Yao Lou

Computer Science · Purdue University West Lafayette

Mid career · publishing since 2009

Publications

10

Citations

47

Est. group size

Recurring co-author estimate

Active years

18

Publishing since 2009

Research summary
AI-generated

Yuan-Yao Lou works on networked and edge computing systems, including how to distribute computing tasks between edge devices (small computers located close to users) and central 'cloud' servers, and how to make wearable devices and 5G/6G mobile networks smarter and more efficient. Recent work applies deep reinforcement learning (a machine learning technique for automated decision-making) to manage virtualized radio access networks, a key technology for telecom infrastructure.

Edge and fog computingSoftware-defined and 5G/6G networksWearable device systemsModel predictive control at the edgeApplied machine learning for network management

Publication output has been sparse and irregular over the past decade, with several years of no recorded output followed by a small cluster of publications in 2024 and one projected for 2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 1.0/year recently
1718192020: 1 publication202021: 1 publication2122232024: 4 publications424252026: 1 publication26
Recent publications
Publishes in
  • arXiv (Cornell University)×4
  • 2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS)×1
  • IEEE Journal on Selected Areas in Communications×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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