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researcher

Ziyang Li

Johns Hopkins University

15 papers hereh-index 12869 citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author10
  • last author1

Across the 14 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CR4
  • cs.AI3
  • cs.LG2
  • cs.PL2
  • cs.CL1
  • cs.CV1
affiliations
  • Johns Hopkins University
Homepage
same name
  • Ziyang Li — 8 papers, h 6
  • Ziyang Li — 6 papers, h 1
  • Ziyang Li — 4 papers, h 3
  • Ziyang Li — 4 papers, h 3
  • Ziyang Li — 3 papers, h 0
  • Ziyang Li — 2 papers, h 5

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedIRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

16 citations · 39 across the 14 of their papers we have counts for

collaborators
Showing cs.CRShow all

4 papers · 1 filter

cs.CR2026

Symbolon: Symbolic Execution by Learning Code Transformation

Jie Zhu, Penghui Li, Zhongxuan Li +4

Symbolic execution is a powerful program analysis technique with broad applications, such as vulnerability detection, security testing, and malware analysis. However, this techniqu…

cs.CR2025

Locus: Agentic Predicate Synthesis for Directed Fuzzing

Jie Zhu, Chihao Shen, Ziyang Li +3

Directed fuzzing aims to find program inputs that lead to specified target program states. It has broad applications, such as debugging system crashes, confirming reported bugs, an…

cs.CR2024★ 16 cited

IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Ziyang Li, Saikat Dutta, Mayur Naik

Software is prone to security vulnerabilities. Program analysis tools to detect them have limited effectiveness in practice due to their reliance on human labeled specifications. L…

cs.CR2023★ 14 cited

Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities

Avishree Khare, Saikat Dutta, Ziyang Li +3

While automated vulnerability detection techniques have made promising progress in detecting security vulnerabilities, their scalability and applicability remain challenging. The r…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.