VLDB 2026 Research / reviewers in the wild / expert

Xiao Qin 0006

dblp:199/4704-6 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 1999
0000-0002-8345-3587ORCID · corroborated

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

Databases, data management, data science and information retrieval · 3Software engineering, systems software and programming languages · 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
2 papers
Memory systems · 100%
Software engineering, system software, and programming languages
2 papers
Operating systems · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Memory systems › non-volatile memory › persistent memory
persistent object management		 0.021995
PTool: A Light Weight Persistent Object Manager · SIGMOD Conference 1995
Ptool: A Scalable Persistent Object Manager · SIGMOD Conference 1994
Operating systems › persistence
object persistence		 0.021995
PTool: A Light Weight Persistent Object Manager · SIGMOD Conference 1995
Ptool: A Scalable Persistent Object Manager · SIGMOD Conference 1994
YearPublicationVenuePosition
1999 The management and mining of multiple predictive models using the predictive modeling markup language
Robert L. Grossman, Stuart Bailey, Ashok Ramu, Balinder Malhi, Philip Hallstrom, Ivan Pulleyn, Xiao Qin 0006
 Inf. Softw. Technol.7
1995 PTool: A Light Weight Persistent Object Manager
abstract
No abstract available.
Robert L. Grossman, David Hanley, Xiao Qin 0006
 SIGMOD Conference3
1994 Ptool: A Scalable Persistent Object Manager
abstract
No abstract available.
Robert L. Grossman, Xiao Qin 0006
 SIGMOD Conference2
1994 Analyzing High Energy Physics Data Using Databases: A Case Study
abstract
We describe the initial work of the PASS Project which uses techniques from distributed object management to analyze experimental data from high energy physics. At this time, we have designed two prototypes to analyze high energy physics data from the CDF experiment at Fermi Lab. The data from this experiment consists of "events" which describe particle collisions. Each event consists of several hundred numerical attributes and occupies approximately 10 K in a compressed format. We describe our experience analyzing this data using a relational database, an object oriented database, and a persistent object manager.>
Robert L. Grossman, Xiao Qin 0006, D. Valsamis, Christopher T. Day, Stewart C. Loken, J. F. MacFarlane, David R. Quarrie, Edward N. May, David Lifka, David M. Malon, L. E. Price, A. Baden, L. Cormell, Phil Leibold, U. Nixdorf, B. Scipioni, T. Song
 SSDBM2