Susan (Xueqing) Liu
Assistant Professor, Department of Computer Science
Stevens Institute of Technology
Stevens Institute of Technology
NSF CAREER Award (2026) —
"CAREER: Towards Automated Vulnerability Management: Vulnerability Discovery, Localization, and Continuous Monitoring"
NSF SaTC Program, Award #2543926, $624,660, July 2026 – June 2031.
NSF SaTC Program, Award #2543926, $624,660, July 2026 – June 2031.
News
- Jul 2026 Received NSF CAREER Award for automated vulnerability management research.
- Apr 2026 Paper accepted at ICSE-NIER 2026: EVATest for Android GUI testing.
- Apr 2025 ACM SIGSOFT Distinguished Paper Award at ICSE-CSEE&T 2025.
- Aug 2024 Paper accepted at ACL 2024: VulLibGen for vulnerability-affected packages.
- Aug 2024 Welcome Jiangrui Zheng joining as a PhD student.
Research Interests
My research focuses on NLP for security and software engineering. I develop AI-driven methods to discover, localize, and manage software vulnerabilities at scale. Key areas include:
• Vulnerability Management — AI + program analysis for vulnerability localization, recommender systems for vulnerability discovery, monitoring AI agent security behaviors
• NLP for Software Engineering — mining software artifacts, code understanding, automated testing
• Text Mining & Information Retrieval — content analysis, user behavior modeling
Openings: I am looking for motivated PhD students and post-docs interested in NLP for security/SE. Please email me with your CV.
Selected Publications
- EVATest: Domain-Oriented Android GUI Testing via Execution-Guided Visual Grounding Agent. ICSE-NIER 2026 (forthcoming)
- From Reviewers' Lens: Understanding Bug Bounty Report Invalid Reasons with LLMs. S2AI@BigData 2025
- An Exploratory Study on Build Issue Resolution Among CS Students. ICSE-CSEE&T 2025 ACM SIGSOFT Distinguished Paper Award
- X. Liu et al. VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model. ACL 2024
- HateModerate: Testing Hate Speech Detectors against Content Moderation Policies. NAACL 2024 Findings
- C. Wang, X. Liu, A. Awadallah. Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference. AutoML 2023
- G. Yang et al. Few-Sample Named Entity Recognition for Security Vulnerability Reports. COLING 2022
- C. Wang et al. TestAug: A Framework for Augmenting Capability-Based NLP Tests. MLHat@KDD 2022
- X. Liu, C. Wang. Benchmarking Meaning Representations in Neural Semantic Parsing. ACL-IJCNLP 2021
- G. Yang et al. An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models. ACL-IJCNLP 2021
- X. Liu. A Large-Scale Empirical Study on Android Runtime-Permission Rationale Messages. VL/HCC 2018
- X. Liu et al. User Fatigue in Online News Recommendation. WWW 2016
- C. Wang et al. Automatic Taxonomy Construction from Keywords via Scalable Bayesian Rose Trees. KDD 2015
Full publication list on Google Scholar
Students
Current
Guanqun Yang (PhD, 2020–)
Jiangrui Zheng (PhD, 2024–)
Alumni
Murad Aleskerov (MS, 2023)
Shubhankar Deol (MS, 2023)
Shay Dineen (MS, 2021–2022)
Zhipeng Lin (MS, 2020–2021)
Teaching
- CS 589: Text Mining and Information Retrieval (Fall 2020–present)
- CS 541: Artificial Intelligence (Spring 2023–present)
- CS 284: Data Structures (Spring 2020–Spring 2022)
Education
- Ph.D. Computer Science, University of Illinois Urbana-Champaign
Advisors: Chengxiang Zhai, Tao Xie - B.S. Interdisciplinary Information Sciences (Yao Class), Tsinghua University