Xianmiao Qu

dblp:412/6247 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0005-4990-1760ORCID · reported

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

Security and privacy · 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.

Network and information security
1 paper
Systems and software security · 100%
Software engineering, system software, and programming languages
1 paper
Software testing · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Processor architecture and microarchitecture · 100%

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

TopicWeightPapersLastEvidence papers
Systems and software security › vulnerability discovery
fuzzing
0.912025
RVISmith: Fuzzing Compilers for RVV Intrinsics · CCS 2025
Systems and software security
vulnerability discovery
0.912025
RVISmith: Fuzzing Compilers for RVV Intrinsics · CCS 2025
Software testing
compiler testing
0.912025
RVISmith: Fuzzing Compilers for RVV Intrinsics · CCS 2025
Processor architecture and microarchitecture › SIMD
SIMD instructions
0.312025
RVISmith: Fuzzing Compilers for RVV Intrinsics · CCS 2025

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

differential testing · 2.6
YearPublicationVenuePosition
2025 RVISmith: Fuzzing Compilers for RVV Intrinsics
abstract
Modern processors are equipped with single instruction multiple data (SIMD) instructions for fine-grained data parallelism. Compiler auto-vectorization techniques that target SIMD instructions face performance limitations due to insufficient information available at compile time, requiring programmers to manually manipulate SIMD instructions. SIMD intrinsics, a type of built-in function provided by modern compilers, enable programmers to manipulate SIMD instructions within high-level programming languages. Bugs in compilers for SIMD intrinsics can introduce potential threats to software security, producing unintended calculation results, data loss, program crashes, etc.
Yibo He, Cunjian Huang, Xianmiao Qu, Hongdeng Chen, Wei Yang 0013, Tao Xie 0001
CCS3