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Demo Data from EDBT 2026 / reviewers in the wild / expert

John Shen

dblp:94/7449 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Energy-efficient computing · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Energy-efficient computing › power management › system-level power management
system-level power optimization		 0.112009
From milliwatts to megawatts: system level power challenge · DAC 2009
YearPublicationVenuePosition
2018 Online Incremental Learning for Speaker-Adaptive Language Models
Chih Chi Hu, Bing Liu 0024, John Shen, Ian Lane
 INTERSPEECH3
2009 From milliwatts to megawatts: system level power challenge
abstract
This panel discusses power optimization at the system level. What are the needs and opportunities? What are examples of successful practices? Can system-level power optimizations ever be automated? Can power optimizations be the enabling event for a methodology change in system-level design?
Ruchir Puri, Eshel Haritan, Stan Krolikoski, Jason Cong, Tim Kogel, Bradley D. McCredie, John Shen, Andrés Takach
 DAC7