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ORCIDKun Qiu 0001
Person information
- affiliation: Hefei University of Technology, Hefei, Anhui, China
Other persons with the same name
- Kun Qiu — disambiguation page
- Kun Qiu 0002
![[0000-0002-4873-0614]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4873-0614")
— Fudan University, Shanghai, China - Kun Qiu 0003 — Nanchang Hangkong University, China
- Kun Qiu 0004 — Tsinghua University, Beijing, China
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2020 – today
- 2026
[j9]Kun Qiu, Yu Zhou, Pak-Lok Poon, Tsong Yueh Chen:
MT-Boost: A metamorphic-testing based training method for enhancing the robustness of deep neural network classifiers. Inf. Softw. Technol. 189: 107902 (2026)- 2025
- [j8]Zenghui Zhou, Pak-Lok Poon, Tsong Yueh Chen, Kun Qiu, Qinghua Zhao, Zheng Zheng:
Evaluating the effectiveness of neuron coverage metrics: a metamorphic-testing approach. Softw. Qual. J. 33(2): 19 (2025) - 2024
- [j7]Kun Qiu, Pak-Lok Poon, Shijun Zhao, Dave Towey, Lanlin Yu:
Improving the validation of multiple-object detection using a complex-network-community-based relevance metric. Knowl. Based Syst. 299: 112027 (2024) - [j6]Xiaohui Wan, Zheng Zheng, Fangyun Qin, Xuhui Lu, Kun Qiu:
Adjusted Trust Score: A Novel Approach for Estimating the Trustworthiness of Software Defect Prediction Models. IEEE Trans. Reliab. 73(4): 1877-1891 (2024) - [c6]Kun Qiu, Yu Zhou, Pak-Lok Poon:
Using Metamorphic Relations to Improve Accuracy and Robustness of Deep Neural Networks. MET@ISSTA 2024: 2-9 - 2022
- [j5]Kun Qiu, Zheng Zheng, Tsong Yueh Chen, Pak-Lok Poon:
Theoretical and Empirical Analyses of the Effectiveness of Metamorphic Relation Composition. IEEE Trans. Software Eng. 48(3): 1001-1017 (2022) - 2021
- [j4]Kun Qiu, Zheng Zheng, Kishor S. Trivedi, Ivan Mura:
Availability Analysis of Systems Deploying Sequences of Environmental-Diversity-Based Recovery Methods. IEEE Trans. Reliab. 70(3): 1126-1142 (2021) - [c5]Zenghui Zhou, Zheng Zheng, Tsong Yueh Chen, Jinyi Zhou, Kun Qiu:
Follow-up Test Cases are Better Than Source Test Cases in Metamorphic Testing: A Preliminary Study. MET@ICSE 2021: 69-74 - [i1]Tsong Yueh Chen, Pak-Lok Poon, Kun Qiu, Zheng Zheng, Jinyi Zhou:
Use of Metamorphic Relations as Knowledge Carriers to Train Deep Neural Networks. CoRR abs/2104.04718 (2021) - 2020
- [j3]Zheng Zheng, Kishor S. Trivedi, Nan Wang, Kun Qiu:
Markov Regenerative Models of WebServers for Their User-Perceived Availability and Bottlenecks. IEEE Trans. Dependable Secur. Comput. 17(1): 92-105 (2020) - [j2]Kun Qiu, Zheng Zheng, Kishor S. Trivedi, Beibei Yin:
Stress Testing With Influencing Factors to Accelerate Data Race Software Failures. IEEE Trans. Reliab. 69(1): 3-21 (2020) - [c4]Jinyi Zhou, Kun Qiu, Zheng Zheng, Tsong Yueh Chen, Pak-Lok Poon:
Using Metamorphic Testing to Evaluate DNN Coverage Criteria. ISSRE Workshops 2020: 147-148
2010 – 2019
- 2019
- [c3]Jiantao Zhang, Zheng Zheng, Beibei Yin, Kun Qiu, Yang Liu:
Testing Graph Searching Based Path Planning Algorithms by Metamorphic Testing. PRDC 2019: 158-167 - 2017
- [j1]Zheng Zheng, Kishor S. Trivedi, Kun Qiu, Ruofan Xia:
Semi-Markov Models of Composite Web Services for their Performance, Reliability and Bottlenecks. IEEE Trans. Serv. Comput. 10(3): 448-460 (2017) - [c2]Kun Qiu, Zheng Zheng, Kishor S. Trivedi, Bei-Bei Yin:
Understanding the Impacts of Influencing Factors on Time to a DataRace Software Failure. ISSRE 2017: 56-66 - [c1]Kun Qiu, Zheng Zheng, Tsong Yueh Chen:
Testing Proportional-Integral-Derivative (PID) Controller with Metamorphic Testing. ISSRE Workshops 2017: 88-89
Coauthor Index
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