VLDB 2026 Research / reviewers in the wild / expert

Panos Huang

dblp:321/3357 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none

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

Software engineering, systems software and programming languages · 1 · 1 since 2021

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.

Artificial intelligence
1 paper
Efficient and distributed learning · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Cloud and datacenter computing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Efficient and distributed learning › distributed training › edge training
device-cloud collaborative learning		 0.612022
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning · OSDI 2022
Machine learning › Efficient and distributed learning
distributed training		 0.612022
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning · OSDI 2022
Cloud and datacenter computing
cloud infrastructure		 0.612022
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning · OSDI 2022
YearPublicationVenuePosition
2022 Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning
Chengfei Lv, Chaoyue Niu, Renjie Gu, Xiaotang Jiang, Zhaode Wang, Ziqi Wu, Qiulin Yao, Congyu Huang, Panos Huang, Hui Shu, Jinde Song, Peng Lan, Guohuan Xu, Fei Wu 0001, Shaojie Tang 0001, Fan Wu 0006, Guihai Chen
 OSDI10