Understanding and Tackling Label Errors in Deep Learning-Based Vulnerability Detection (Experience Paper). - Xu Nie; Ningke Li; Kailong Wang 001; Shangguang Wang; Xiapu Luo; Haoyu Wang 001 (ISSTA, 2023)

MalWuKong: Towards Fast, Accurate, and Multilingual Detection of Malicious Code Poisoning in OSS Supply Chains. - Ningke Li; Shenao Wang 001; Mingxi Feng; Kailong Wang 001; Meizhen Wang; Haoyu Wang 001 (ASE, 2023)

HalluVault: A Novel Logic Programming-aided Metamorphic Testing Framework for Detecting Fact-Conflicting Hallucinations in Large Language Models. - Ningke Li; Yuekang Li; Yi Liu 014; Ling Shi 002; Kailong Wang 001; Haoyu Wang 001 (CoRR, 2024)

Large Language Models for Cyber Security: A Systematic Literature Review. - Hanxiang Xu; Shenao Wang 001; Ningke Li; Kailong Wang 001; Yanjie Zhao 001; Kai Chen 012; Ting Yu 001; Yang Liu 003; Haoyu Wang 001 (CoRR, 2024)

Drowzee: Metamorphic Testing for Fact-Conflicting Hallucination Detection in Large Language Models. - Ningke Li; Yuekang Li; Yi Liu 014; Ling Shi 002; Kailong Wang 001; Haoyu Wang 001 (Proc. ACM Program. Lang., 2024)

How About Bug-Triggering Paths? - Understanding and Characterizing Learning-Based Vulnerability Detectors. - Xiao Cheng 002; Xu Nie; Ningke Li; Haoyu Wang 001; Zheng Zheng 001; Yulei Sui (IEEE Trans. Dependable Secur. Comput., 2024)

Detecting LLM Fact-conflicting Hallucinations Enhanced by Temporal-logic-based Reasoning. - Ningke Li; Yahui Song; Kailong Wang 001; Yuekang Li; Ling Shi 002; Yi Liu; Haoyu Wang 001 (CoRR, 2025)

Large Language Models are overconfident and amplify human bias. - Fengfei Sun; Ningke Li; Kailong Wang 001; Lorenz Goette (CoRR, 2025)