EDBT 2026 Demo / reviewers in the wild / expert
Yunhang Zhang
dblp:193/3538
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2023
0009-0006-9868-558XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 first-author · 1 since 2021Software 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.
| Computer architecture, parallel and distributed computing, and storage systems
2 papers |
Performance modeling and evaluation · 100% | |
| Network and information security
1 paper |
Systems and software security · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Programming languages and type systems · 100% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Systems and software security › vulnerability discovery › fuzzing
greybox fuzzing |
0.7 | 1 | 2023 | Profile-guided System Optimizations for Accelerated Greybox Fuzzing · CCS 2023 |
Systems and software security
vulnerability discovery |
0.7 | 1 | 2023 | Profile-guided System Optimizations for Accelerated Greybox Fuzzing · CCS 2023 |
Performance modeling and evaluation › performance tuning
profile-guided optimization |
0.7 | 1 | 2023 | Profile-guided System Optimizations for Accelerated Greybox Fuzzing · CCS 2023 |
Performance modeling and evaluation
workload characterization |
0.7 | 1 | 2023 | Profile-guided System Optimizations for Accelerated Greybox Fuzzing · CCS 2023 |
Programming languages and type systems
rust |
0.6 | 1 | 2022 | Towards Understanding the Runtime Performance of Rust · ASE 2022 |
Programming languages and type systems
systems programming language |
0.6 | 1 | 2022 | Towards Understanding the Runtime Performance of Rust · ASE 2022 |
Performance modeling and evaluation › workload characterization
runtime performance characterization |
0.6 | 1 | 2022 | Towards Understanding the Runtime Performance of Rust · ASE 2022 |
Methods — techniques the papers use, named apart from their topics
profiling · 1.3benchmarking · 1.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Profile-guided System Optimizations for Accelerated Greybox FuzzingabstractGreybox fuzzing is a highly popular option for security testing, incentivizing tremendous efforts to improve its performance. Prior research has brought many algorithmic advancements, leading to substantial performance growth. However, less attention has been paid to the system-level designs of greybox fuzzing tools, despite the high impacts of such designs on fuzzing throughput. Yunhang Zhang, Chengbin Pang, Stefan Nagy, Jun Xu 0024 |
CCS | 1 |
| 2022 | Towards Understanding the Runtime Performance of RustabstractRust is a young systems programming language, but it has gained tremendous popularity thanks to its assurance of memory safety. However, the performance of Rust has been less systematically understood, although many people are claiming that Rust is comparable to C/C++ regarding efficiency. Yuchen Zhang 0006, Yunhang Zhang, Georgios Portokalidis, Jun Xu 0024 |
ASE | 2 |