2026

• DepUpgrade: Automating Dependency Upgrade through State-Path Exploration

  Xiangxi Ma, Yifan An, Wentong Tian, Xuanqi Wang, Qingao Dong, Xiang Gao#, Hailong Sun

  International Conference on Automated Software Engineering (ASE), 2026

• Type-aware LLM-based Test Generation for Python Programs

  Runlin Liu, Zhe Zhang, Yunge Hu, Yuhang Lin, Xiang Gao#, Hailong Sun

  ACM Transactions on Software Engineering and Methodology (TOSEM), 2026

• Fusing LLMs and Genetic Algorithm for High-Quality Unit Test Generation

  Yiwen Fu, Xiang Gao#, Binhang Qi, Yuan Yuan, Hailong Sun

  ACM Transactions on Software Engineering and Methodology (TOSEM), 2026

• Vulnerability Identification by Harnessing Inter-connected Multi-Source Information

  Liyou Chen, Hailong Sun, Xiang Gao#, Lin Shi, Yixin Yang, Yi Xu

  Journal of Systems and Software (JSS), 2026

• PGS: Effective LLM Code Refinement via Property-Oriented and Structurally Minimal Feedback

  Lehan He, Zeren Chen, Zhe Zhang, Xiang Gao, Lu Sheng

  International Conference on Machine Learning (ICML), 2026

• Efficient Bug Detection by Inferring Implicit API Contract of Pointer State Transition

  Xingjing Deng, Yunlong Ma, Xiang Gao#, Hailong Sun

  International Conference on Dependable Systems and Networks (DSN), 2026

• Beyond Superficial Tests: Adversarial Refinement for Reliable Property-Based Testing

  Xiao Li, Runlin Liu, Zhe Zhang, Xiang Gao#, Hailong Sun

  Annual Meeting of the Association for Computational Linguistics (ACL Findings), 2026

• Code2Bench: Scaling Source and Rigor for Dynamic Benchmark Construction

  Zhe Zhang, Runlin Liu, Aishan Liu, Xingyu Liu, Xiang Gao#, Hailong Sun

  International Conference on Learning Representations (ICLR), 2026

• HapCheck: DSL-Based Static Bug Detection Framework for OpenHarmony

  Xitong Zhong, Chang Liu, Runlin Liu, Zifu Xu, Zhengyao Liu, Juqi Zhou, Gang Fan, Mingyi Zhou, Xiang Gao#, Li Li

  International Conference on Software Engineering, SEIP Track (ICSE), 2026

• ModularEvo: Evolving Multi-Task Models via Neural Network Modularization and Composition

  Wenrui Long, Binhang Qi, Hailong Sun, ZongZhen Yang, Ruobing Zhao, Xiang Gao

  International Conference on Software Engineering (ICSE), 2026

2025

• Scalable Large-Scale Multi-Granularity Code Clone Detection via Clustering Search and Pre-trained Models

  Yifan An, Yunlong Ma, Xiang Gao#, Hailong Sun

  IEEE Transactions on Software Engineering (TSE), 2025

• Context-Enhanced Vulnerability Detection Based on Large Language Models

  Yixing Yang, Bowen Xu, Xiang Gao#, Hailong Sun#

  ACM Transactions on Software Engineering and Methodology (TOSEM), 2025

• UICOMPASS: UI Map Guided Mobile Task Automation via Adaptive Action Generation

  Yuanzhang Lin, Zhe Zhang, He Rui, Qingao Dong, Mingyi Zhou, Jing Zhang, Xiang Gao#, Hailong Sun#

  Empirical Methods in Natural Language Processing (EMNLP), 2025

• Reference-Based Retrieval-Augmented Unit Test Generation

  Zhe Zhang, Xingyu Liu, Yuanzhang Lin, Xiang Gao#, Hailong Sun#, Yuan Yuan

  ACM Transactions on Software Engineering and Methodology (TOSEM), 2025

• NeMo: A Neuron-Level Modularizing-While-Training Approach for Decomposing DNN Models

  Xiaohan Bi, Binhang Qi, Hailong Sun, Xiang Gao, Yue Yu, Xiaojun Liang

  ACM Transactions on Software Engineering and Methodology (TOSEM), 2025

• CABS: Conflict-Aware and Balanced Sparsification for Enhancing Model Merging

  Zongzhen Yang, Binhang Qi, Hailong Sun, Wenrui Long, Ruobing Zhao, Xiang Gao

  International Conference on Machine Learning (ICML), 2025

• Code Property Graph Meets Typestate: A Scalable Framework to Behavioral Bug Detection

  Xingjing Deng, Zhengyao Liu, Xitong Zhong, Shuo Hong, Yixin Yang, Xiang Gao#, Xuhui Yan, Hailong Sun#

  International Conference on Software Maintenance and Evolution (ICSME), 2025

  IEEE TCSE Distinguished Paper Award

• Enhanced Vulnerability Localization: Harmonizing Task-Enhanced Tuning and General LLM Prompting

  Wentong Tian, Yuanzhang Lin, Xiang Gao#, Hailong Sun#

  International Conference on Software Maintenance and Evolution (ICSME), 2025

• Software Engineering for OpenHarmony: A Research Roadmap

  Li Li, Xiang Gao, Hailong Sun, Chunming Hu, Xiaoyu Sun, Haoyu Wang, Haipeng Cai, Ting Su, Xiapu Luo, Tegawende F. Bissyande, Jacques Klein, John Grundy, Tao Xie, Haibo Chen, Huaimin Wang

  ACM Computing Surveys (CSUR), 2025

• HapTest: The Dynamic Analysis Framework for OpenHarmony

  Farong Liu, Mingyi Zhou, Yakun Zhang, Ting Su, Bo Sun, Jacques Klein, Xiang Gao, Li Li

  ACM International Conference on the Foundations of Software Engineering (FSE), Industry Track, 2025

• Understanding Vulnerabilities in Software Supply Chains

  Yijun Shen, Xiang Gao#, Hailong Sun, Yu Guo

  Empirical Software Engineering (EMSE), 2025

• Enhancing Automated Vulnerability Repair through Dependency Embedding and Pattern Store

  Qingao Dong, Yuanzhang Lin, Hailong Sun, Xiang Gao#

  International Conference on Software Analysis, Evolution and Reengineering (SANER), 2025

2024

• DynaMO: Protecting Mobile DL Models through Coupling Obfuscated DL Operators

  Mingyi Zhou, Xiang Gao, Xiao Chen, Chunyang Chen, John Grundy, Li Li

  International Conference on Automated Software Engineering (ASE), 2024

• LLM-Based Java Concurrent Program to ArkTS Converter

  Runlin Liu, Yuhang Lin, Yunge Hu, Zhe Zhang, Xiang Gao#

  International Conference on Automated Software Engineering, Tool Track (ASE), 2024

• API Misuse Detection via Probabilistic Graphical Model

  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

  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

  Yahui Song, Xiang Gao, Wenhua Li, Wei Ngan Chin, Abhik Roychoudhury

  International Conference on the Foundations of Software Engineering (FSE), 2024

  ACM SIGSOFT Distinguished Paper Award

• Modularizing while Training: A New Paradigm for Modularizing DNN Models

  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

  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

  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

  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

  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

  Yuanzhang Lin, Guoyao Wen, Xiang Gao#

  International Conference on Automated Software Engineering (ASE), 2023

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

  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

  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

  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

  Binhang Qi, Hailong Sun#, Xiang Gao#, Hongyu Zhang

  International Conference on Automated Software Engineering (ASE), 2022

• Program Vulnerability Repair via Inductive Inference

  Yuntong Zhang, Xiang Gao#, Gregory J. Duck, Abhik Roychoudhury

  International Symposium on Software Testing and Analysis (ISSTA), 2022

• Trust Enhancement Issues in Program Repair

  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

  Xiang Gao, Gregory J. Duck, Abhik Roychoudhury

  International Conference on Automated Software Engineering, Tool Track (ASE), 2021

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

  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)

  Ridwan Shariffdeen*, Xiang Gao*, Gregory J. Duck, Shin Hwei Tan, Julia Lawall, Abhik Roychoudhury (*co-first authors)

  International Symposium on Software Testing and Analysis (ISSTA), 2021

  Distinguished Artifact Award

• Beyond Tests: Program Vulnerability Repair via Crash Constraint Extraction

  Xiang Gao, Bo Wang, Gregory J. Duck, Ruyi Ji, Yingfei Xiong, Abhik Roychoudhury

  ACM Transactions on Software Engineering and Methodology (TOSEM), 2021

• Feedback-Driven Semi-Supervised Synthesis of Program Transformations

  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

  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

  Xiang Gao, Ripon K. Saha, Mukul R. Prasad, Abhik Roychoudhury

  International Conference on Software Engineering (ICSE), 2020

• Crash-avoiding Program Repair

  Xiang Gao, Sergey Mechtaev, Abhik Roychoudhury

  ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2019

• Android Testing via Synthetic Symbolic Execution

  Xiang Gao, Shin Hwei Tan, Zhen Dong, Abhik Roychoudhury

  International Conference on Automated Software Engineering (ASE), 2018

• Repairing Crashes in Android Apps

  Shin Hwei Tan, Zhen Dong, Xiang Gao, Abhik Roychoudhury

  International Conference on Software Engineering (ICSE), 2018

• Test-equivalence Analysis for Automatic Patch Generation

  Sergey Mechtaev, Xiang Gao, Shin Hwei Tan, Abhik Roychoudhury

  ACM Transactions on Software Engineering and Methodology (TOSEM), 2018

Work before PhD

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

  Deshan Zhang, Lei Ju, Mengying Zhao, Xiang Gao, Zhiping Jia

  53rd Design Automation Conference (DAC), 2016

* co-first author    # corresponding author