Xiang Gao

Google Scholar DBLP

* means co-first author; # means corresponding author

2024

API Misuse Detection via Probabilistic Graphical Model CCF-A
Yunlong Ma, Wentong Tian, Xiang Gao#, Hailong Sun, Li Li
International Symposium on Software Testing and Analysis (ISSTA) 2024
Model-less Is The Best Model: Generating Pure Code Implementations to Replace On-device DL Models CCF-A
Mingyi Zhou, Xiang Gao, Pei Liu, John Grundy, Chunyang Chen, Xiao Chen, Li Li
International Symposium on Software Testing and Analysis (ISSTA) 2024
ProveNFix: Temporal Property guided Program Repair CCF-A
Yahui Song, Xiang Gao, Wenhua Li, Wei Ngan Chin, Abhik Roychoudhury
International Conference on the Foundations of Software Engineering (FSE) 2024
Modularizing while Training: A New Paradigm for Modularizing DNN Models CCF-A
Binhang Qi, Hailong Sun#, Hongyu Zhang, Ruobing Zhao, Xiang Gao#
International Conference on Software Engineering (ICSE) 2024

ACM SIGSOFT Distinguished Paper Award
Investigating White-Box Attacks for On-Device Models CCF-A
Mingyi Zhou, Xiang Gao, Jing Wu, Kui Liu, Hailong Sun, Li Li
International Conference on Software Engineering (ICSE) 2024
Investigating and Detecting Silent Bugs in PyTorch Programs CCF-B
Shuo Hong, Hailong Sun, Xiang Gao#, Shin Hwei Tan
International Conference on Software Analysis, Evolution and Reengineering (SANER) 2024

IEEE TCSE Distinguished Paper Award
Reducing False Positives of Static Bug Detectors through Code Representation Learning CCF-B
Yixin Yang, Ming Wen, Xiang Gao, Yuting Zhang, Hailong Sun
International Conference on Software Analysis, Evolution and Reengineering (SANER) 2024

2023

Reusing Convolutional Neural Network Models through Modularization and Composition CCF-A
Binhang Qi, Hailong Sun, Hongyu Zhang, Xiang Gao
ACM Transactions on Software Engineering and Methodology (TOSEM), 2023
Automated Fixing of Web UI Tests via Iterative Element Matching CCF-A
Yuanzhang Lin, Guoyao Wen, Xiang Gao#
International Conference on Automated Software Engineering (ASE) 2023
ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems CCF-A
Mingyi Zhou, Xiang Gao, Jing Wu, John Grundy, Xiao Chen, Chunyang Chen, Li Li
International Symposium on Software Testing and Analysis (ISSTA) 2023
Automated Repair of Programs from Large Language Models CCF-A
Zhiyu Fan, Xiang Gao#, Martin Mirchev, Abhik Roychoudhury,Shin Hwei Tan
International Conference on Software Engineering (ICSE) 2023
Reusing Deep Neural Network Models through Model Re-engineering CCF-A
Binhang Qi, Hailong Sun#, Xiang Gao#, Hongyu Zhang, Zhaotian Li, Xudong Liu
International Conference on Software Engineering (ICSE) 2023

2022

Patching Weak Convolutional Neural Network Models through Modularization and Composition CCF-A
Binhang Qi, Hailong Sun#, Xiang Gao#, Hongyu Zhang
International Conference on Automated Software Engineering (ASE) 2022
Program Vulnerability Repair via Inductive Inference CCF-A
Yuntong Zhang, Xiang Gao#, Gregory J. Duck, Abhik Roychoudhury
International Symposium on Software Testing and Analysis (ISSTA) 2022
Trust Enhancement Issues in Program Repair CCF-A
Yannic Noller, Ridwan Shariffdeen, Xiang Gao, Abhik Roychoudhury
International Conference on Software Engineering (ICSE) 2022

Before 2022

Overfitting in Program Repair and Program Synthesis
Xiang Gao
PhD Dissertation, National University of Singapore, 2021
Scalable Fuzzing of Program Binaries with E9AFL CCF-A
Xiang Gao, Gregory J. Duck, Abhik Roychoudhury
International Conference on Automated Software Engineering Tool (ASE) 2021
APIfix: Output-Oriented Program Synthesis for Combating Breaking Changes in Libraries CCF-A
Xiang Gao, Arjun Radhakrishna, Gustavo Soares, Ridwan Shariffdeen, Sumit Gulwani, Abhik Roychoudhury
Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA) 2021
Automated Patch Backporting in Linux (Experience Paper) CCF-A
Ridwan Shariffdeen*, Xiang Gao*, Gregory J. Duck, Shin Hwei Tan, Julia Lawall, Abhik Roychoudhury (*co-first author)
International Symposium on Software Testing and Analysis (ISSTA), 2021

Distinguished Artifact Award
Beyond Tests: Program Vulnerability Repair via Crash Constraint Extraction CCF-A
Xiang Gao, Bo Wang, Gregory J. Duck, Ruyi Ji, Yingfei Xiong, Abhik Roychoudhury
Transactions on Software Engineering and Methodology (TOSEM), 2021
Feedback-Driven Semi-Supervised Synthesis of Program Transformations CCF-A
Xiang Gao, Shraddha Barke, Arjun Radhakrishna, Gustavo Soares, Sumit Gulwani, Alan Leung, Nachiappan Nagappan, Ashish Tiwari
Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA) 2020
Binary Rewriting without Control Flow Recovery CCF-A
Gregory J. Duck, Xiang Gao, Abhik Roychoudhury
Programming Language Design and Implementation (PLDI) 2020
Interactive Patch Generation and Suggestion
Xiang Gao, Abhik Roychoudhury
Automated Program Repair Workshop (APR @ ICSE) 2020
Fuzz Testing based Data Augmentation to Improve Robustness of Deep Neural Networks CCF-A
Xiang Gao, Ripon K. Saha, Mukul R. Prasad, Abhik Roychoudhury
International Conference on Software Engineering (ICSE) 2020.
Crash-avoiding Program Repair CCF-A
Xiang Gao, Sergey Mechtaev, Abhik Roychoudhury
ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA) 2019.
Android Testing via Synthetic Symbolic Execution CCF-A
Xiang Gao, Shin Hwei Tan, Zhen Dong, Abhik Roychoudhury
International Conference on Automated Software Engineering (ASE) 2018.
Repairing Crashes in Android Apps CCF-A
Shin Hwei Tan, Zhen Dong, Xiang Gao, and Abhik Roychoudhury
International Conference on Software Engineering(ICSE), 2018
Test-equivalence Analysis for Automatic Patch Generation CCF-A
Sergey Mechtaev, Xiang Gao, Shin Hwei Tan, Abhik Roychoudhury
Transactions on Software Engineering and Methodology ( TOSEM ), 2018

Work before PhD

Write-back aware shared last-level cache management for hybrid main memory CCF-A
Deshan Zhang, Lei Ju, Mengying Zhao, Xiang Gao, Zhiping Jia
53rd Design Automation Conference (DAC), 2016

2024

API Misuse Detection via Probabilistic Graphical Model CCF-A

Model-less Is The Best Model: Generating Pure Code Implementations to Replace On-device DL Models CCF-A

ProveNFix: Temporal Property guided Program Repair CCF-A

Modularizing while Training: A New Paradigm for Modularizing DNN Models CCF-A

Investigating White-Box Attacks for On-Device Models CCF-A

Investigating and Detecting Silent Bugs in PyTorch Programs CCF-B

Reducing False Positives of Static Bug Detectors through Code Representation Learning CCF-B

2023

Reusing Convolutional Neural Network Models through Modularization and Composition CCF-A

Automated Fixing of Web UI Tests via Iterative Element Matching CCF-A

ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-based Systems CCF-A

Automated Repair of Programs from Large Language Models CCF-A

Reusing Deep Neural Network Models through Model Re-engineering CCF-A

2022

Patching Weak Convolutional Neural Network Models through Modularization and Composition CCF-A

Program Vulnerability Repair via Inductive Inference CCF-A

Trust Enhancement Issues in Program Repair CCF-A

Before 2022

Overfitting in Program Repair and Program Synthesis

Scalable Fuzzing of Program Binaries with E9AFL CCF-A

APIfix: Output-Oriented Program Synthesis for Combating Breaking Changes in Libraries CCF-A

Automated Patch Backporting in Linux (Experience Paper) CCF-A

Beyond Tests: Program Vulnerability Repair via Crash Constraint Extraction CCF-A

Feedback-Driven Semi-Supervised Synthesis of Program Transformations CCF-A

Binary Rewriting without Control Flow Recovery CCF-A

Interactive Patch Generation and Suggestion

Fuzz Testing based Data Augmentation to Improve Robustness of Deep Neural Networks CCF-A

Crash-avoiding Program Repair CCF-A

Android Testing via Synthetic Symbolic Execution CCF-A

Repairing Crashes in Android Apps CCF-A

Test-equivalence Analysis for Automatic Patch Generation CCF-A

Work before PhD

Write-back aware shared last-level cache management for hybrid main memory CCF-A