Posts by Collection

Fast Detection, Localization, and Patch Generation for Concurrency Defects

Completed project. Project participant. Designed a heuristic scheduling testing method for Java concurrent programs.

Research on Key Mutation Testing Techniques for DL Frameworks

Ongoing project. Student leader. Designed mutation rules and heuristic guidance for deep learning framework testing.

LLM Generalization Testing Tool for MindSpore

Completed project. Student leader. Developed a component-based generalization testing tool for large-scale models on MindSpore.

MindSpore Model Generalization Testing Technology

Completed project. Student leader. Developed a MindSpore-based model structure generalization testing tool.

Cross-project defect prediction via asttoken2vec and blstm-based neural network （IJCNN'19）

Hao Li, Xiaohong Li, Xiang Chen, Xiaofei Xie, Yanzhou Mu, and Zhiyong Feng

International Joint Conference on Neural Networks (IJCNN 2019), 2019

Do different cross-project defect prediction methods identify the same defective modules? （JSEP'20）

Xiang Chen, Yanzhou Mu, Yubin Qu, Chao Ni, Meng Liu, Tong He, and Shangqing Liu Co-first author

Journal of Software: Evolution and Process, 2020

HARS: Heuristic-enhanced adaptive randomized scheduling for concurrency testing （QRS'21）

Yanzhou Mu, Zan Wang, Shuang Liu, Jun Sun, Junjie Chen, and Xiang Chen

IEEE International Conference on Software Quality, Reliability and Security (QRS 2021), 2021

Revisiting heterogeneous defect prediction methods: How far are we? （IST'21）

Xiang Chen, Yanzhou Mu, Ke Liu, Zhanqi Cui, and Chao Ni Co-first author

Information and Software Technology, 2021

采用多目标优化的深度学习测试优化方法 / Deep learning test optimization method using multi-objective optimization （软件学报/IJSI'22）

沐燕舟 (Yanzhou Mu), 王赞 (Zan Wang), 陈翔 (Xiang Chen), 陈俊洁 (Junjie Chen), 赵静珂 (Jingke Zhao), 王建敏 (Jianmin Wang)

软件学报 / International Journal of Software & Informatics, 2022

Can test input selection methods for deep neural network guarantee test diversity? （IST'22）

Chunyu Zhao, Yanzhou Mu, Xiang Chen, Jingke Zhao, Xiaolin Ju, and Gan Wang Co-first author

Information and Software Technology, 2022

DevMuT: Testing Deep Learning Framework via Developer Expertise-Based Mutation （ASE'24, CCF-A）

Yanzhou Mu, Juan Zhai, Chunrong Fang, Xiang Chen, Zhixiang Cao, Peiran Yang, Yinglong Zou, Tao Zheng, and Zhenyu Chen

IEEE/ACM Automated Software Engineering Conference (ASE 2024), 2024

Improving Deep Learning Framework Testing with Model-Level Metamorphic Testing （ISSTA'25, CCF-A）

Yanzhou Mu, Juan Zhai, Chunrong Fang, Xiang Chen, Zhixiang Cao, Peiran Yang, Kexin Zhao, An Guo, and Zhenyu Chen

International Symposium on Software Testing and Analysis (ISSTA 2025), 2025

Deep Learning Framework Testing via Model Mutation: How far are we? （TSE'25, CCF-A）

Yanzhou Mu, Rong Wang, Juan Zhai, Chunrong Fang, Xiang Chen, Peiran Yang, Zhixiang Cao, Ruixiang Qian, Shaoyu Yang, and Zhenyu Chen

IEEE Transactions on Software Engineering, 2025

Generate Realistic Test Scenes for V2X Communication Systems （TOSEM'25, CCF-A）

An Guo, Xinyu Gao, Chunrong Fang, Haoxiang Tian, Weisong Sun, Yanzhou Mu, Shuncheng Tang, Lei Ma, Xiapu Luo, and Zhenyu Chen

ACM Transactions on Software Engineering and Methodology, 2025, Major revision

When Autonomous Vehicle Meets V2X Cooperative Perception: How Far Are We? （ASE'25, CCF-A）

An Guo, Shuoxiao Zhang, Enyi Tang, Xinyu Gao, Haomin Pang, Haoxiang Tian, Yanzhou Mu, Wu Wen, Chunrong Fang, and Zhenyu Chen

IEEE/ACM International Conference on Automated Software Engineering, 2025

Understanding LLM-Centric Challenges for Deep Learning Frameworks: An Empirical Analysis （TOSEM'26, CCF-A）

Yanzhou Mu, Rong Wang, Juan Zhai, Chunrong Fang, Xiang Chen, Jiacong Wu, An Guo, Jiawei Shen, Bingzhuo Li, and Zhenyu Chen

ACM Transactions on Software Engineering and Methodology, 2026

Train in Vain: Functionality-Preserving Poisoning to Prevent Unauthorized Use of Code Datasets （ACL'26, CCF-A）

Yuan Xiao, Yuchen Chen, Jiaming Wang, Wei Song, Jun Sun, Shiqing Ma, Yanzhou Mu, Juan Zhai, Chunrong Fang, Jin Song Dong, and Zhenyu Chen

Findings of the Association for Computational Linguistics, 2026

An Empirical Study of Bugs in Modern LLM Agent Frameworks Permalink （LLMSC'26） Workshop

Xinxue Zhu, Jiacong Wu, Xiaoyu Zhang, Tianlin Li, Yanzhou Mu, Juan Zhai, Chao Shen, Chunrong Fang, Yang Liu

The 2nd International Workshop on Large Language Model Supply Chain Analysis (LLMSC 2026), co-located with FSE 2026, 2026, Accepted arXiv | PDF | DOI | Workshop

Tactile-based Multimodal Fusion in Embodied Intelligence: A Survey of Vision, Language, and Contact-Driven Paradigms Permalink （arXiv'26） Preprint

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

arXiv preprint, 2026, Under review arXiv | PDF | DOI

CIPIHunter: Detecting Configuration-Induced Prediction Instability in Deep Learning Frameworks （ASE'26, CCF-A）

Yanzhou Mu, Shuo Meng, Mijung Kim, Xiang Chen, Chunrong Fang, Zhenyu Chen, Juan Zhai

IEEE/ACM Automated Software Engineering Conference (ASE 2026), 2026

Deep Learning Framework Testing via Heuristic Guidance Based on Multiple Model Measurements （TOSEM'26, CCF-A）

Yilong Zou, Juan Zhai, Chunrong Fang, Yanzhou Mu, Jiawei Liu, and Zhenyu Chen

ACM Transactions on Software Engineering and Methodology, 2026