Xiang Ling

Xiang Ling is an Associate Professor at the Institute of Software, Chinese Academy of Sciences (ISCAS) in Beijing, specializing in software security, data-driven security, AI security, and network/web security. His research bridges theoretical computer science with practical security applications, focusing on malware analysis, vulnerability detection, and adversarial machine learning.

His research interests span multiple security domains with emphasis on applying data-driven approaches to security challenges. He investigates how machine learning techniques can be both applied to security problems and themselves secured against adversarial manipulation. His work particularly focuses on Windows and Android security ecosystems, with significant contributions to malware detection systems and vulnerability analysis tools.

His publication record shows consistent contributions to top software engineering and security venues including ICSE, USENIX Security, IEEE S&P, and Black Hat. His research demonstrates strong trends toward integrating deep learning with security analysis while addressing practical challenges in real-world security systems. Recent work increasingly incorporates large language models for security applications.

• ACM SIGSOFT Distinguished Paper Award at ICSE 2025 for 'FUTURE' paper
• Multiple papers accepted at premier venues including ESEM 2025, EASE 2025, and ICSME 2025
• Research funded through collaborations with major academic institutions

Dr. Ling actively mentors students and collaborates with researchers globally. He maintains an active research group at ISCAS focusing on code analysis, system security, deep learning, and fuzz testing. His team regularly publishes in top-tier conferences and journals while developing practical security tools that address real-world vulnerabilities. He is currently recruiting interns and graduate students through platforms like 实习僧 (intern recruitment website).