Yanfeng Gao

dblp:60/11288 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · unresolved

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.

Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 50% Operating systems · 50%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Memory systems · 50% Storage systems · 50%

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

TopicWeightPapersLastEvidence papers
Compilers and program optimization › compiler construction
compiler support for persistent memory
0.912025
HybridPersist: A Compiler Support for User-Friendly and Efficient PM Programming · Proc. ACM Program. Lang. 2025
Operating systems › persistence
crash consistency
0.912025
HybridPersist: A Compiler Support for User-Friendly and Efficient PM Programming · Proc. ACM Program. Lang. 2025
Storage systems
crash consistency
0.912025
HybridPersist: A Compiler Support for User-Friendly and Efficient PM Programming · Proc. ACM Program. Lang. 2025
Memory systems › non-volatile memory
persistent memory
0.912025
HybridPersist: A Compiler Support for User-Friendly and Efficient PM Programming · Proc. ACM Program. Lang. 2025

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

static analysis · 1.7program annotations · 0.9program annotation · 0.9
YearPublicationVenuePosition
2025 HybridPersist: A Compiler Support for User-Friendly and Efficient PM Programming
abstract
Persistent memory (PM), with its data persistence, has found widespread applications. However, programmers have to manually annotate PM operations in programming to achieve crash consistency, which is labor-intensive and error-prone. In this paper, to alleviate the burden of programming PM applications, we develop HybridPersist, a compiler support for user-friendly and efficient PM programming. On the one hand, HybridPersist automatically achieves crash consistency, minimally intruding on programmers with negligible annotations. On the other hand, it enhances both performance and correctness of PM programs through a series of dedicated analysis passes. The evaluations on well-known benchmarks validate that HybridPersist offers superior programming productivity and runtime performance compared to the state-of-the-art.
Yiyu Zhang, Yanfeng Gao, Xuandong Li, Zhiqiang Zuo 0002
Proc. ACM Program. Lang.3