Yanzhou Mu

Orcid: 0000-0003-1816-2246

According to our database1, Yanzhou Mu authored at least 20 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

On csauthors.net:

Bibliography

2026
Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigms.
CoRR, May, 2026

Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets.
CoRR, April, 2026

Deep Learning Framework Testing via Model Mutation: How Far Are We?
IEEE Trans. Software Eng., March, 2026

An Empirical Study of Bugs in Modern LLM Agent Frameworks.
CoRR, February, 2026

2025
Deep Learning Framework Testing via Heuristic Guidance Based on Multiple Model Measurements.
CoRR, July, 2025

Deep Learning Framework Testing via Model Mutation: How Far Are We?
CoRR, June, 2025

Designing Deep Learning Frameworks for LLMs:Challenges, Expectations, and Opportunities.
CoRR, June, 2025

Generate Realistic Test Scenes for V2X Communication Systems.
CoRR, June, 2025

Improving Deep Learning Framework Testing with Model-Level Metamorphic Testing.
Proc. ACM Softw. Eng., 2025

When Autonomous Vehicle Meets V2X Cooperative Perception: How Far Are We?
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

2024
DevMuT: Testing Deep Learning Framework via Developer Expertise-Based Mutation.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

2022
Can test input selection methods for deep neural network guarantee test diversity? A large-scale empirical study.
Inf. Softw. Technol., 2022

Deep Learning Test Optimization Method Using Multi-objective Optimization.
Int. J. Softw. Informatics, 2022

2021
Revisiting heterogeneous defect prediction methods: How far are we?
Inf. Softw. Technol., 2021

HARS: Heuristic-Enhanced Adaptive Randomized Scheduling for Concurrency Testing.
Proceedings of the 21st IEEE International Conference on Software Quality, 2021

2020
Do different cross-project defect prediction methods identify the same defective modules?
J. Softw. Evol. Process., 2020

ALTRA: Cross-Project Software Defect Prediction via Active Learning and Tradaboost.
IEEE Access, 2020

2019
Revisiting Heterogeneous Defect Prediction: How Far Are We?
CoRR, 2019

DeepCPDP: Deep Learning Based Cross-Project Defect Prediction.
IEEE Access, 2019

Cross-project Defect Prediction via ASTToken2Vec and BLSTM-based Neural Network.
Proceedings of the International Joint Conference on Neural Networks, 2019


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