Associate Researcher
Institute of Software, Chinese Academy of Sciences
Email: liuzhe2020@iscas.ac.cn
Personal Website: https://zheliu6.github.io/
Research Areas
My research interests focus on Intelligent Software Engineering, Large Language Model (LLM)-based Agents, and Software Testing. I study how AI and foundation models can enhance software development and maintenance, with particular interests in:
- LLM-based Software Engineering Agents
- Intelligent Software Testing and Debugging
- Multimodal Learning for Software Engineering
- Reliability and Evaluation of AI-powered Software Systems
Education
Ph.D. in Software Engineering
University of Chinese Academy of Sciences
Sep. 2018 – Jun. 2023
B.S. in Computer Science
Sichuan University
Sep. 2014 – Jun. 2018
Experience
Associate Researcher
Institute of Software, Chinese Academy of Sciences
Oct. 2025 – Present
Assistant Researcher (Postdoctoral Researcher)
Institute of Software, Chinese Academy of Sciences
Jul. 2023 – Oct. 2025
Publications
(1) Piece by Piece: Automating Combination Interaction GUI Testing via Planning and Dual Memory, The 41th IEEE/ACM International Conference on Automated Software Engineering (ASE 2026, CCF-A), 2026, 第 1 作者
(2) OrchJail: Jailbreaking Tool-Calling Text-to-Image Agents by Orchestration-Guided Fuzzing, Forty-third International Conference on Machine Learning (ICML CCF-A), 2026, 第 4 作者
(3) Think Outside the Box: Automating Inter-App Functionality Testing via Memory Implanting and Reasoning, The 47th IEEE/ACM International Conference on Software Engineering (ICSE 2026, CCF-A), 2026, 第 2 作者
(4) Many Minds, One Path: LLM-Augmented Consensus Decision for Distributed Control in Multi-Agent Collaborative Stable Scenarios, The Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026, CCF-A), 2026, 第 2 作者
(5) From Suspicious Signals to Crashes: Guiding Bug-driven GUI Testing via Code-inspired Tracing, The ACM International Conference on the Foundations of Software Engineering (FSE 2026, CCF-A), 2026, 第 2 作者
(6) BugHunter: An Automated Tool for Bug-Aware GUI Testing via Retrieval Augmentation, The 47th IEEE/ACM International Conference on Software Engineering (ICSE 2026, CCF-A), 2026, 第 1 作者
(7) Standing on the Shoulders of Giants: Bug-Aware Automated GUI Testing via Retrieval Augmentation, Proceedings of the ACM on Software Engineering (FSE 2025, CCF-A), 2025, 第 2 作者
(8) Seeing is Believing: Vision-driven Non-crash Functional Bug Detection for Mobile Apps, IEEE Transactions on Software Engineering (TSE, CCF-A), 2025, 第 1 作者
(9) One Sentence Can Kill the Bug: Auto-Replay Mobile App Crashes From One-Sentence Overviews, IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (TSE, CCF-A), 2025, 第 3 作者
(10) Beyond Static GUI Agent: Evolving LLM-based GUI Testing via Dynamic Memory, The 40th IEEE/ACM International Conference on Automated Software Engineering (ASE 2025, CCF-A), 2025, 第 2 作者
(11) Deep API Sequence Generation via Golden Solution Samples and API Seeds, ACM Transactions on Software Engineering and Methodology (TOSEM, CCF-A), 2025, 第 6 作者
(12) A Roadmap for Software Testing in Open-Collaborative and AI-Powered Era, ACM Transactions on Software Engineering and Methodology (TOSEM, CCF-A), 2025, 第 5 作者
(13) 移动应用程序中用户界面显示缺陷检测的经验研究, Empirical Study on UI Display Issue Detection in Mobile Applications, 软件学报, 2024, 第 1 作者
(14) Unblind Text Inputs: Predicting Hint-text of Text Input in Mobile Apps via LLM, PROCEEDINGS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS (CHI 2024, CCF-A), 2024, 第 1 作者 通讯作者
(15) Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions, IEEE/ACM 46th International Conference on Software Engineering (ICSE 2024, CCF-A), 2024, 第 1 作者
(16) Software Testing With Large Language Models: Survey, Landscape, and Vision, IEEE Transactions on Software Engineering (TSE, CCF-A), 2024, 第 4 作者
(17) Testing the Limits: Unusual Text Inputs Generation for Mobile App Crash Detection with Large Language Model, IEEE/ACM 46th International Conference on Software Engineering (ICSE 2024, CCF-A), 2024, 第 1 作者
(18) CrashTranslator: Automatically Reproducing Mobile Application Crashes Directly from Stack Trace, IEEE/ACM 46th International Conference on Software Engineering (ICSE 2024, CCF-A), 2024, 第 3 作者
(19) Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding, IEEE TRANSACTIONS ON SOFTWARE ENGINEERING (TSE, CCF-A), 2023, 第 1 作者
(20) Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing, 2023 IEEE/ACM 45TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2023, CCF-A), 2023, 第 1 作者
(21) Ex pede Herculem: Augmenting Activity Transition Graph for Apps via Graph Convolution Network, 2023 IEEE/ACM 45TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2023, CCF-A), 2023, 第 1 作者
(22) The Metamorphosis: Automatic Detection of Scaling Issues for Mobile Apps, PROCEEDINGS OF THE 37TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE 2022, CCF-A), 2022, 第 4 作者
(23) Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves, PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2022, CCF-A), 2022, 第 1 作者
(24) NaviDroid: A Tool for Guiding Manual Android Testing via Hint Moves, 2022 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2022, CCF-A), 2022, 第 1 作者
(25) Characterizing and Predicting Good First Issues, International Symposium on Empirical Software Engineering and Measurement, 2021, 第 4 作者
(26) OwlEyes-Online: A Fully Automated Platform for Detecting and Localizing UI Display Issues, Proceedings of the 29th ACM joint meeting on european software engineering conference and symposium on the foundations of software engineering (FSE 2021, CCF-A), 2021, 第 2 作者
(27) Owl Eyes: Spotting UI Display Issues via Visual Understanding, 35TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING (ASE 2020, CCF-A), 2020, 第 1 作者
Patents
Context-aware defect reproduction method and system based on multimodal matching models
Chinese Invention Patent, CN117234891A, 2023
Third inventor
UI scaling defect detection method and electronic device for mobile applications
Chinese Invention Patent, CN115357490A, 2022
Third inventor
Automatic localization and repair method for user interface display defects
Chinese Invention Patent, CN115168182A, 2022
First inventor
Intelligent guided testing method based on application state transition graphs
Chinese Invention Patent, CN113238952A, 2021
First inventor
Automated detection and localization method for application user interface defects
Chinese Invention Patent, CN111797007A, 2020
First inventor
Honors & Distinctions
- ACM ASE Distinguished Reviewer Award, 2025
- CCF Software Engineering Committee Outstanding Doctoral Dissertation Incentive Program, 2024
- Outstanding Doctoral Dissertation Award, Chinese Academy of Sciences, 2024
- ACM CHI Best Paper Honourable Mention, 2024
- Champion, ACM Student Research Competition Grand Finals, 2023
- President's Award, Chinese Academy of Sciences, 2023
- Outstanding Graduate of Beijing Municipality, 2023
- Outstanding Graduate of University of Chinese Academy of Sciences, 2023
- Champion, ACM Student Research Competition at ICSE, 2022
- Outstanding Party Affairs Worker, Institute of Software, Chinese Academy of Sciences, 2021
- Champion, ACM Student Research Competition at ASE, 2020