About me

I’m a third-year PhD student from the Laboratory for System Dependability at the University of Tsukuba, Japan, under the supervision of Prof. Fumio Machida. My research focuses on software reliability, especially reliability and dependability of machine learning systems in safety-critical domains such as autonomous vehicles and critical infrastructure systems.

Research Interests

• Reliability of Machine Learning Systems

• Stochastic Models for Dependability Analysis

• Software Reliability Evaluation and Design

Publications

Qiang Wen, Júlio Mendonça, Fumio Machida, and Marcus Völp, “Multi-version Machine Learning and Rejuvenation for Resilient Perception in Safety-critical Systems”, In Proc. of the 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2025.

Qiang Wen and Fumio Machida, “Reliability Modeling for Three-version Machine Learning Systems through Bayesian Networks”, Reliability Engineering & System Safety, 2025. https://doi.org/10.1016/j.ress.2025.111016. Download Paper

Linyun Gao, Qiang Wen, and Fumio Machida, “Safety-Aware Weighted Voting for N-version Traffic Sign Recognition System”, In Proc. of the 2nd IEEE International Workshop on Reliable and Secure AI for Software Engineering, pp. 337-344, 2024. Download Paper

Qiang Wen, Júlio Mendonça, Fumio Machida, and Marcus Völp, “Enhancing Autonomous Vehicle Safety through N-version Machine Learning Systems”, In Proc. of AISafety@IJCAI, 2024. Download Paper

Qiang Wen and Fumio Machida, “Characterizing Reliability of Three-version Traffic Sign Classifier System through Diversity Metrics”, In Proc. of the 34th International Symposium on Software Reliability Engineering (ISSRE), pp. 333-343, 2023. Download Paper

Qiang Wen and Fumio Machida, “Bayesian Network Reliability Modeling for Three-version Machine Learning Systems”, In Proc. of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks-Supplemental Volume (DSN-S), pp. 214-216, 2023. Download Paper

Takahashi Mitsuho, Fumio Machida, and Qiang Wen, “How data diversification benefits the reliability of three-version image classification systems”, In Proc. of the 27th Pacific Rim International Symposium on Dependable Computing (PRDC), pp. 34-42, 2022. Download Paper

Qiang Wen and Fumio Machida, “Reliability Models and Analysis for Triple-model with Triple-input Machine Learning Systems”, In Proc. of the 5th IEEE Conference on Dependable and Secure Computing, pp. 1-8, 2022. Download Paper