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ORCIDYanzhou Mu
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2020 – today
- 2026
[j8]Yanzhou Mu
, Rong Wang, Juan Zhai, Chunrong Fang, Xiang Chen, Peiran Yang, Zhixiang Cao, Ruixiang Qian, Shaoyu Yang, Zhenyu Chen:
Deep Learning Framework Testing via Model Mutation: How Far Are We? IEEE Trans. Software Eng. 52(3): 835-854 (2026)- [i11]Xinxue Zhu, Jiacong Wu, Xiaoyu Zhang, Tianlin Li, Yanzhou Mu, Juan Zhai, Chao Shen, Chunrong Fang, Yang Liu:
An Empirical Study of Bugs in Modern LLM Agent Frameworks. CoRR abs/2602.21806 (2026) - [i10]Yuan Xiao, Jiaming Wang, Yuchen Chen, Wei Song, Jun Sun, Shiqing Ma, Yanzhou Mu, Juan Zhai, Chunrong Fang, Jin Song Dong, Zhenyu Chen:
Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets. CoRR abs/2604.22291 (2026) - [i9]Zhixiang Cao, Di Tian, Runwei Guan, Yanzhou Mu, Xiaolou Sun, Shaofeng Liang, Daizong Liu, Tao Huang, Yutao Yue, Henghui Ding, Bin Fang, Alex Zhou, Qing-Long Han, Hui Xiong:
Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigms. CoRR abs/2605.17336 (2026) - 2025
- [j7]Yanzhou Mu, Juan Zhai, Chunrong Fang, Xiang Chen, Zhixiang Cao, Peiran Yang, Kexin Zhao, An Guo, Zhenyu Chen:
Improving Deep Learning Framework Testing with Model-Level Metamorphic Testing. Proc. ACM Softw. Eng. 2(ISSTA): 2158-2180 (2025) - [c4]An Guo, Shuoxiao Zhang, Enyi Tang, Xinyu Gao, Haomin Pang, Haoxiang Tian, Yanzhou Mu, Wu Wen, Chunrong Fang, Zhenyu Chen:
When Autonomous Vehicle Meets V2X Cooperative Perception: How Far Are We? ASE 2025: 1169-1181 - [i8]An Guo, Xinyu Gao, Chunrong Fang, Haoxiang Tian, Weisong Sun, Yanzhou Mu, Shuncheng Tang, Lei Ma, Zhenyu Chen:
Generate Realistic Test Scenes for V2X Communication Systems. CoRR abs/2506.07419 (2025) - [i7]Yanzhou Mu, Rong Wang, Juan Zhai, Chunrong Fang, Xiang Chen, Jiacong Wu, An Guo, Jiawei Shen, Bingzhuo Li, Zhenyu Chen:
Designing Deep Learning Frameworks for LLMs:Challenges, Expectations, and Opportunities. CoRR abs/2506.13114 (2025) - [i6]Yanzhou Mu, Rong Wang, Juan Zhai, Chunrong Fang, Xiang Chen, Zhiyuan Peng, Peiran Yang, Ruixiang Qian, Shaoyu Yang, Zhenyu Chen:
Deep Learning Framework Testing via Model Mutation: How Far Are We? CoRR abs/2506.17638 (2025) - [i5]Yanzhou Mu, Juan Zhai, Chunrong Fang, Xiang Chen, Zhixiang Cao, Peiran Yang, Kexin Zhao, An Guo, Zhenyu Chen:
Improving Deep Learning Framework Testing with Model-Level Metamorphic Testing. CoRR abs/2507.04354 (2025) - [i4]Yanzhou Mu, Juan Zhai, Chunrong Fang, Xiang Chen, Zhixiang Cao, Peiran Yang, Yinglong Zou, Tao Zheng, Zhenyu Chen:
DevMuT: Testing Deep Learning Framework via Developer Expertise-Based Mutation. CoRR abs/2507.04360 (2025) - [i3]Yinglong Zou, Juan Zhai, Chunrong Fang, Yanzhou Mu, Jiawei Liu, Zhenyu Chen:
Deep Learning Framework Testing via Heuristic Guidance Based on Multiple Model Measurements. CoRR abs/2507.15181 (2025) - [i2]An Guo, Shuoxiao Zhang, Enyi Tang, Xinyu Gao, Haomin Pang, Haoxiang Tian, Yanzhou Mu, Wu Wen, Chunrong Fang, Zhenyu Chen:
When Autonomous Vehicle Meets V2X Cooperative Perception: How Far Are We? CoRR abs/2509.24927 (2025) - 2024
- [c3]Yanzhou Mu, Juan Zhai, Chunrong Fang, Xiang Chen, Zhixiang Cao, Peiran Yang, Yinglong Zou, Tao Zheng, Zhenyu Chen:
DevMuT: Testing Deep Learning Framework via Developer Expertise-Based Mutation. ASE 2024: 1533-1544 - 2022
- [j6]Yanzhou Mu, Zan Wang, Xiang Chen, Junjie Chen, Jingke Zhao, Jianmin Wang:
Deep Learning Test Optimization Method Using Multi-objective Optimization. Int. J. Softw. Informatics 12(4): 403-436 (2022) - [j5]Chunyu Zhao, Yanzhou Mu, Xiang Chen, Jingke Zhao, Xiaolin Ju, Gan Wang:
Can test input selection methods for deep neural network guarantee test diversity? A large-scale empirical study. Inf. Softw. Technol. 150: 106982 (2022) - 2021
- [j4]Xiang Chen, Yanzhou Mu, Ke Liu, Zhanqi Cui, Chao Ni:
Revisiting heterogeneous defect prediction methods: How far are we? Inf. Softw. Technol. 130: 106441 (2021) - [c2]Yanzhou Mu, Zan Wang, Shuang Liu, Jun Sun, Junjie Chen, Xiang Chen:
HARS: Heuristic-Enhanced Adaptive Randomized Scheduling for Concurrency Testing. QRS 2021: 219-230 - 2020
- [j3]Zhidan Yuan, Xiang Chen, Zhanqi Cui, Yanzhou Mu:
ALTRA: Cross-Project Software Defect Prediction via Active Learning and Tradaboost. IEEE Access 8: 30037-30049 (2020) - [j2]Xiang Chen, Yanzhou Mu, Yubin Qu, Chao Ni, Meng Liu, Tong He, Shangqing Liu:
Do different cross-project defect prediction methods identify the same defective modules? J. Softw. Evol. Process. 32(5) (2020)
2010 – 2019
- 2019
- [j1]Deyu Chen, Xiang Chen, Hao Li, Junfeng Xie, Yanzhou Mu:
DeepCPDP: Deep Learning Based Cross-Project Defect Prediction. IEEE Access 7: 184832-184848 (2019) - [c1]Hao Li, Xiaohong Li, Xiang Chen, Xiaofei Xie, Yanzhou Mu, Zhiyong Feng:
Cross-project Defect Prediction via ASTToken2Vec and BLSTM-based Neural Network. IJCNN 2019: 1-8 - [i1]Xiang Chen, Yanzhou Mu, Chao Ni, Zhanqi Cui:
Revisiting Heterogeneous Defect Prediction: How Far Are We? CoRR abs/1908.06560 (2019)
Coauthor Index
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