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Terence Purcell

dblp:437/5259 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

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

Databases, data management, data science and information retrieval · 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.

Databases, data mining, and information retrieval
1 paper
Query processing and optimization · 67% Machine learning and data management · 33%
Artificial intelligence
1 paper
Language models and text generation · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning and data management
bayesian optimization
1.012026
OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning · Proc. VLDB Endow. 2026
Query processing and optimization
query optimization
1.012026
OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning · Proc. VLDB Endow. 2026
Query processing and optimization
query planning
1.012026
OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning · Proc. VLDB Endow. 2026
Natural language and speech › Language models and text generation
large language model reasoning
0.312026
OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning · Proc. VLDB Endow. 2026

Methods — techniques the papers use, named apart from their topics

language model reasoning · 2.0bayesian optimization · 2.0
YearPublicationVenuePosition
2026 OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning
Yuanjia Zhang, Terence Purcell, Chengcheng Yang, Rong Zhang 0002, Xuan Zhou 0001, Jianliang Xu
Proc. VLDB Endow.4