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Author

Yanzhou Mu

Observed name: Mu, Yanzhou
ORCID: 0000-0003-1816-2246
Observed ORCID: 0000-0003-1816-2246
OpenAlex ID: A5075895554
DeepCPDP: Deep Learning Based Cross-Project Defect Prediction
2019 · Deyu Chen, Xiang Chen, et al. · IEEE Access · 60
ALTRA: Cross-Project Software Defect Prediction via Active Learning and Tradaboost
2020 · Zhidan Yuan, Xiang Chen, et al. · IEEE Access · 41
Revisiting heterogeneous defect prediction methods: How far are we?
2020 · Xiang Chen, Yanzhou Mu, et al. · Information and Software Technology · 35
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Do different cross‐project defect prediction methods identify the same defective modules?
2019 · Xiang Chen, Yanzhou Mu, et al. · Journal of Software Evolution and Process · 22
Can test input selection methods for deep neural network guarantee test diversity? A large-scale empirical study
2022 · Chunyu Zhao, Yanzhou Mu, et al. · Information and Software Technology · 12
Cross-project Defect Prediction via ASTToken2Vec and BLSTM-based Neural Network
2019 · Hao Li, Xiaohong Li, et al. · International Joint Conference on Neural Networks (IJCNN) · 11
When Autonomous Vehicle Meets V2X Cooperative Perception: How Far Are We?
2025 · An Guo, Shuoxiao Zhang, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 5
DevMuT: Testing Deep Learning Framework via Developer Expertise-Based Mutation
2024 · Yanzhou Mu, Juan Zhai, et al. · IEEE/ACM International Conference on Automated Software Engineering (ASE) · 5
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Improving Deep Learning Framework Testing with Model-Level Metamorphic Testing
2025 · Yanzhou Mu, Juan Zhai, et al. · Proceedings of the ACM on software engineering. · 3
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Deep Learning Test Optimization Method Using Multi-objective Optimization
2022 · Yanzhou Mu, Zan Wang, et al. · International Journal of Software and Informatics · 3
Bugs in Modern LLM Agent Frameworks: An Empirical Study
2026 · Xinxue Zhu, Jiacong Wu, et al. · ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE) · 1
Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigms
2026 · Cao, Zhixiang, Tian, Di, et al. · arXiv (Cornell University) · 1
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Stateful Testing for Deep Learning Compilers
2026 · Ge, Jiatao, Qian, Ruixiang, et al. · arXiv (Cornell University)
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Grounding Deep Learning Framework Testing in Data Flow
2026 · Ge, Jiatao, Mu, Yanzhou, et al. · arXiv (Cornell University)
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Artifacts for CacheReforge
2026 · Cao, Yuhang, Mu, Yanzhou, et al. · Zenodo (CERN European Organization for Nuclear Research)
Deep Learning Framework Testing via Heuristic Guidance Based on Multiple Model Measurements
2026 · Yinglong Zou, Juan Zhai, et al. · ACM Transactions on Software Engineering and Methodology
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Understanding LLM-Centric Challenges for Deep Learning Frameworks: An Empirical Analysis
2026 · Yanzhou Mu, Rong Wang, et al. · ACM Transactions on Software Engineering and Methodology
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Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets
2026 · Xiao, Yuan, Wang, Jiaming, et al. · arXiv (Cornell University)
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Deep Learning Framework Testing via Model Mutation: How Far Are We?
2026 · Yanzhou Mu, Rong Wang, et al. · IEEE Transactions on Software Engineering
Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigms
2026 · Zhixiang Cao, Di Tian,, et al.
Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets
2026 · Yuan Xiao, Jiaming Wang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigms
2026 · Zhixiang Cao, Di Tian, et al. · SSRN Electronic Journal
Deep Learning Framework Testing via Model Mutation: How Far Are We?
2025 · Mu, Yanzhou, Wang, Rong, et al. · arXiv (Cornell University)
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Generate Realistic Test Scenes for V2X Communication Systems
2025 · Guo, An, Gao, Xinyu, et al. · arXiv (Cornell University)
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HARS: Heuristic-Enhanced Adaptive Randomized Scheduling for Concurrency Testing
2021 · Yanzhou Mu, Zan Wang, et al. · IEEE International Conference on Software Quality, Reliability and Security (QRS)
Works count: 25
Citation count: 199
H-index: 6
I10-index: 6
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