Xiao Cheng

Orcid: 0000-0001-5456-3827

Affiliations:
  • University of New South Wales, Sydney, Australia
  • University of Technology Sydney, Australia
  • Beijing University of Posts and Telecommunications, China


According to our database1, Xiao Cheng authored at least 17 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Demystifying and Detecting Agentic Workflow Injection Vulnerabilities in GitHub Actions.
CoRR, May, 2026

2025
Tracing Errors, Constructing Fixes: Repository-Level Memory Error Repair via Typestate-Guided Context Retrieval.
CoRR, June, 2025

JoelYYoung/RecTopo.
Dataset, June, 2025

Understanding Model Weaknesses: A Path to Strengthening DNN-Based Android Malware Detection.
Proc. ACM Softw. Eng., 2025

Mitigating Emergent Malware Label Noise in DNN-Based Android Malware Detection.
Proc. ACM Softw. Eng., 2025

Efficient Abstract Interpretation via Selective Widening.
Proc. ACM Program. Lang., 2025

Taming and Dissecting Recursions Through Interprocedural Weak Topological Ordering.
Proceedings of the 39th European Conference on Object-Oriented Programming, 2025

2024
Dynamic Transitive Closure-based Static Analysis through the Lens of Quantum Search.
ACM Trans. Softw. Eng. Methodol., June, 2024

Refining and Scaling Path-Sensitive Abstract Execution.
PhD thesis, 2024

How About Bug-Triggering Paths? - Understanding and Characterizing Learning-Based Vulnerability Detectors.
IEEE Trans. Dependable Secur. Comput., 2024

Fast Graph Simplification for Path-Sensitive Typestate Analysis through Tempo-Spatial Multi-Point Slicing.
Proc. ACM Softw. Eng., 2024

Precise Sparse Abstract Execution via Cross-Domain Interaction.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
Vulnerability Detection via Typestate-Guided Code Representation Learning.
Proceedings of the Formal Methods and Software Engineering, 2023

2022
Path-sensitive code embedding via contrastive learning for software vulnerability detection.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

2021
DeepWukong: Statically Detecting Software Vulnerabilities Using Deep Graph Neural Network.
ACM Trans. Softw. Eng. Methodol., 2021

2020
Flow2Vec: value-flow-based precise code embedding.
Proc. ACM Program. Lang., 2020

2019
Static Detection of Control-Flow-Related Vulnerabilities Using Graph Embedding.
Proceedings of the 24th International Conference on Engineering of Complex Computer Systems, 2019


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