曹思聪

发布时间:2026-01-09浏览次数:240文章来源:太阳成城集团tyc234cc古天乐

姓名:曹思聪
职称:讲师(校聘副教授)
部门:太阳成城集团tyc234cc古天乐
研究方向:智能化软件工程、软件安全、开源软件供应链
邮箱:sicong.cao@njupt.edu.cn
曹思聪
个人简介
曹思聪,男,中共党员,现任太阳成城集团tyc234cc古天乐讲师(校聘副教授),南京大学博士后(合作导师王林章教授)。2025年6月毕业于扬州大学信息与人工智能公司(工业软件公司),获工学博士学位。2023年10月至2024年10月作为国家公派联合培养博士生在新加坡管理大学计算机与信息系统公司从事合作研究(合作导师IEEE/ACM/ASE Fellow David Lo教授)。

近五年,在CCF推荐会议或期刊发表论文20余篇,其中,以第一作者发表ICSE(2022-2024连续三年)、ASE、S&P(大陆双非高校唯一一篇)、ACM Computing Surveys、TOSEM、软件学报等CCF-A类会议与IEEE/ACM汇刊11篇,以通讯作者发表CCF-A类会议/期刊5篇,包括ICSE、USENIX Security、TOSEM等。

相关工作至今已被国内外同行他引880余次,单篇被引超250余次(Google Scholar统计),并授权发明专利7件(含美国专利1件)。研发的开源漏洞治理系列工具获中国高校计算机大赛-网络技术挑战赛特等奖(全国仅3项)、CCF中国软件大会原型系统竞赛二等奖、CCF中国软件大会软件缺陷自动修复挑战赛二等奖等。

2022年获CCF中国软件大会(ChinaSoft 2022)优秀博士生论坛特邀报告(全国仅13人),作为技术骨干参与的“JAVA开放式动态反序列化Gadget Chains自动化挖掘”获2023年CCF-蚂蚁科研基金优秀应用项目(全国仅8项)。

担任ICSE、FSE、ASE、CCS等软件工程/网络与信息安全领域CCF-A类会议程序/组织委员会成员和TSE、TOSEM、TDSC、TIFS等IEEE/ACM汇刊审稿人。

更多信息可访问个人主页:https://sicongcao.github.io/
科研成果
[1] 曹思聪, 孙小兵, 薄莉莉, 吴潇雪, 李斌, 陈厅, 罗夏朴, 张涛, 刘维. 基于结构感知图神经网络的多类别漏洞检测方法[J]. 软件学报, 2025, 36(11): 5045-5061. CCF推荐计算领域高质量科技期刊T1类
[2] S. Cao, X. Sun, R. Widyasari, D. Lo, X. Wu, L. Bo, J. Zhang, B. Li, W. Liu, D. Wu, Y. Chen. A Systematic Literature Review on Explainability for ML/DL-based Software Engineering[J]. ACM Computing Surveys, 2025, 58(4): 95:1-95:34. 中科院一区
[3] S. Cao, X. Sun, L. Bo, R. Wu, B. Li, X. Wu, C. Tao, T. Zhang, W. Liu. Learning to Detect Memory-related Vulnerabilities[J]. ACM Transactions on Software Engineering and Methodology, 2024, 33(2): 43:1-43:35. CCF推荐A类
[4] S. Cao, X. Sun, X. Wu, D. Lo, L. Bo, B. Li, W. Liu. COCA: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems[C]. IEEE/ACM International Conference on Software Engineering (ICSE), 2024: 155:1-155:13. CCF推荐A类
[5] S. Cao, X. Sun, X. Wu, D. Lo, L. Bo, B. Li, X. Liu, X. Lin, W. Liu. SNOPY: Bridging Sample Denoising with Causal Graph Learning for Effective Vulnerability Detection[C]. IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024: 606-618. CCF推荐A类
[6] S. Cao, X. Sun, X. Yang, X. Wu, W. Liu, B. Li. Hierarchy-Aware Representation Learning for Industrial IoT Vulnerability Classification[J]. IEEE Transactions on Industrial Informatics, 2024, 20(10): 11763-11773. 中科院一区
[7] S. Cao, B. He, X. Sun, Y. Ouyang, C. Zhang, X. Wu, T. Su, L. Bo, B. Li, C. Ma, J. Li, T. Wei. ODDFUZZ: Discovering Java Deserialization Vulnerabilities via Structure-Aware Directed Greybox Fuzzing[C]. IEEE Symposium on Security and Privacy (S&P), 2023: 2726-2743. CCF推荐A类
[8] S. Cao, X. Sun, X. Wu, L. Bo, B. Li, R. Wu, W. Liu, B. He, Y. Ouyang, J. Li. Improving Java Deserialization Gadget Chain Mining via Overriding-Guided Object Generation[C]. IEEE/ACM International Conference on Software Engineering (ICSE), 2023: 397-409. CCF推荐A类
[9] S. Cao, X. Sun, L. Bo, R. Wu, B. Li, C. Tao. MVD: Memory-related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks[C]. IEEE/ACM International Conference on Software Engineering (ICSE), 2022: 1456-1468. CCF推荐A类
[10] Z. Ye, X. Sun, S. Cao(通讯), L. Bo, B. Li. Well Begun is Half Done: Location-Aware and Trace-Guided Iterative Automated Vulnerability Repair[C]. IEEE/ACM International Conference on Software Engineering (ICSE), 2026. CCF推荐A类
[11] X. Zhou, S. Cao(通讯), X. Sun, D. Lo. Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead[J]. ACM Transactions on Software Engineering and Methodology, 2025, 34(5): 145:1-145:31. CCF推荐A类
[12] X. Sun, M. Zhou, S. Cao(通讯), X. Wu, L. Bo, D. Wu, B. Li, Y. Xiang. HgtJIT: Just-in-Time Vulnerability Detection Based on Heterogeneous Graph Transformer[J]. IEEE Transactions on Dependable and Secure Computing, 2025, 22(6): 6522-6538. CCF推荐A类
[13] X. Gao, X. Sun, S. Cao(通讯), K. Huang, D. Wu, X. Liu, X. Lin, Y. Xiang. MalGuard: Towards Real-Time, Accurate, and Actionable Detection of Malicious Packages in PyPI Ecosystem[C]. USENIX Security Symposium (Security), 2025: 4741-4758. CCF推荐A类
[14] X. Sun, X. Gao, S. Cao(通讯), L. Bo, X. Wu, K. Huang. 1+1>2: Integrating Deep Code Behaviors with Metadata Features for Malicious PyPI Package Detection[C]. IEEE/ACM International Conference on Automated Software Engineering (ASE), 2024: 1159-1170. CCF推荐A类
[15] Z. Ye, X. Sun, L. Bo, S. Cao, X. Ren, L. Qi, J. Zhang. KG4VA: Constructing Vulnerability Knowledge Graph for Software Vulnerability Assessment[J]. IEEE Transactions on Services Computing, 2025, 18(6): 3932-9345. CCF推荐A类