GrasP: Graph-to-Sequence Learning for Automated Program Repair. - Ben Tang; Bin Li 006; Lili Bo; Xiaoxue Wu 001; Sicong Cao; Xiaobing Sun 001 (QRS, 2021)

BGNN4VD: Constructing Bidirectional Graph Neural-Network for Vulnerability Detection. - Sicong Cao; Xiaobing Sun 001; Lili Bo; Ying Wei 012; Bin Li 006 (Inf. Softw. Technol., 2021)

A comprehensive study on security bug characteristics. - Ying Wei 012; Xiaobing Sun 001; Lili Bo; Sicong Cao; Xin Xia 001; Bin Li 006 (J. Softw. Evol. Process., 2021)

MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks. - Sicong Cao; Xiaobing Sun 001; Lili Bo; Rongxin Wu; Bin Li 006; Chuanqi Tao (ICSE, 2022)

SPVF: security property assisted vulnerability fixing via attention-based models. - Zhou Zhou; Lili Bo; Xiaoxue Wu 001; Xiaobing Sun 001; Tao Zhang 001; Bin Li 006; Jiale Zhang 001; Sicong Cao (Empir. Softw. Eng., 2022)

Improving Java Deserialization Gadget Chain Mining via Overriding-Guided Object Generation. - Sicong Cao; Xiaobing Sun 001; Xiaoxue Wu 001; Lili Bo; Bin Li 006; Rongxin Wu; Wei Liu 010; Biao He; Yu Ouyang; Jiajia Li (ICSE, 2023)

ODDFuzz: Discovering Java Deserialization Vulnerabilities via Structure-Aware Directed Greybox Fuzzing. - Sicong Cao; Biao He; Xiaobing Sun 001; Yu Ouyang; Chao Zhang 008; Xiaoxue Wu 001; Ting Su 001; Lili Bo; Bin Li 006; Chuanlei Ma; Jiajia Li; Tao Wei 002 (SP, 2023)

Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems. - Sicong Cao; Xiaobing Sun 001; Xiaoxue Wu 001; David Lo 001; Lili Bo; Bin Li 006; Wei Liu 010 (ICSE, 2024)

1+1>2: Integrating Deep Code Behaviors with Metadata Features for Malicious PyPI Package Detection. - Xiaobing Sun 001; Xingan Gao; Sicong Cao; Lili Bo; Xiaoxue Wu 001; Kaifeng Huang 001 (ASE, 2024)

Snopy: Bridging Sample Denoising with Causal Graph Learning for Effective Vulnerability Detection. - Sicong Cao; Xiaobing Sun 001; Xiaoxue Wu 001; David Lo 001; Lili Bo; Bin Li 006; Xiaolei Liu 001; Xingwei Lin; Wei Liu 010 (ASE, 2024)

A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research. - Sicong Cao; Xiaobing Sun 001; Ratnadira Widyasari; David Lo 001; Xiaoxue Wu 001; Lili Bo; Jiale Zhang 001; Bin Li 006; Wei Liu 010; Di Wu 050; Yixin Chen 001 (CoRR, 2024)

Learning to Detect Memory-related Vulnerabilities. - Sicong Cao; Xiaobing Sun 001; Lili Bo; Rongxin Wu; Bin Li 006; Xiaoxue Wu 001; Chuanqi Tao; Tao Zhang 001; Wei Liu 010 (ACM Trans. Softw. Eng. Methodol., 2024)

EXVul: Toward Effective and Explainable Vulnerability Detection for IoT Devices. - Sicong Cao; Xiaobing Sun 001; Wei Liu 010; Di Wu 050; Jiale Zhang 001; Yan Li 002; Tom H. Luan; Longxiang Gao (IEEE Internet Things J., 2024)

Hierarchy-Aware Representation Learning for Industrial IoT Vulnerability Classification. - Sicong Cao; Xiaobing Sun 001; Xinye Yang; Xiaoxue Wu 001; Wei Liu 010; Bin Li 006 (IEEE Trans. Ind. Informatics, 2024)

MalGuard: Towards Real-Time, Accurate, and Actionable Detection of Malicious Packages in PyPI Ecosystem. - Xingan Gao; Xiaobing Sun 001; Sicong Cao; Kaifeng Huang 001; Di Wu; Xiaolei Liu; Xingwei Lin; Yang Xiang (CoRR, 2025)

Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead. - Xin Zhou 014; Sicong Cao; Xiaobing Sun 001; David Lo 001 (ACM Trans. Softw. Eng. Methodol., 2025)