Demo Data from EDBT 2026 / reviewers in the wild / expert
Zian Liu
dblp:251/5438
· DBLP profile ↗
4ranked-venue papers
3as first author
4since 2021 · last 2026
0000-0003-4803-0906ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021Security and privacy · 1 · 1 first-author · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author · 1 since 2021Graphics, computer vision, multimedia, augmented reality and games · 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 |
Program analysis · 100% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Program analysis
binary analysis |
0.5 | 1 | 2021 | Binary Code Similarity Detection · ASE 2021 |
Program analysis › binary analysis
binary code similarity detection |
0.5 | 1 | 2021 | Binary Code Similarity Detection · ASE 2021 |
Program analysis › program representation
graph-based code representation |
0.5 | 1 | 2021 | Binary Code Similarity Detection · ASE 2021 |
Program analysis
symbolic execution |
0.5 | 1 | 2021 | Binary Code Similarity Detection · ASE 2021 |
Methods — techniques the papers use, named apart from their topics
symbolic execution · 0.5graph similarity comparison · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | FAPS-MER: Facial action position and semantic based interactive fusion for micro-expression recognition
Gang Yan 0001, Yubo He, Zian Liu, Yuqiang Guo, Shixin Cen |
Signal Process. Image Commun. | 3 |
| 2024 | VulMatch: Binary-Level Vulnerability Detection Through Signature
Zian Liu, Shigang Liu, Lei Pan 0002, Chao Chen 0015, Jun Zhang 0010, Dongxi Liu |
NSS | 1 |
| 2022 | Automated Binary Analysis: A Survey
Zian Liu, Chao Chen 0015, Dongxi Liu, Jun Zhang 0010 |
ICA3PP | 1 |
| 2021 | Binary Code Similarity DetectionabstractBinary code similarity detection is to detect the similarity of code at binary (assembly) level without source code. Existing work still has their limitation when dealing with mutated binary code with different compiling options. We proposed a novel approach to address this problem. By inspecting the binary code, we found that generally, within a function, some instructions aim to calculate (prepare) value for some other instructions. The latter instructions are defined by us the key instructions. Currently, we define four categories of key instructions: calling subfunctions, comparing instruction, returning instruction, and memory address writing instruction. Thus if we symbolically execute similar binary codes, the symbolic value at these key instructions should be similar. We implemented our idea into a tool. This prototype tool can: 1. symbolically execute binary code, 2. extract symbolic values at key instructions into a graph, and 3. compare the symbolic graph similarity. In our implementation, we also address some problems, including path explosion and loop handling. Zian Liu |
ASE | 1 |