Yu Zhao

Yu Zhao is an Assistant Professor in the Department of Computer Science at University of Cincinnati. He was previously an Assistant Professor in the Department of Computer Science at University of Central Missouri. Dr. Zhao received his Ph.D.in the Department of Computer Science at University of Kentucky.

You can find me here: https://androidtestbugreport.github.io/yuzhao_cv/

Hiring: I am looking for self-motivated and hard-working students to join my research group. If you are interested, send me your CV.
Email: lastname 3y3 [at] ucmail [dot] uc [dot] edu

Software engineering, Software testing, Natural language processing, Deep learning, Reinforcement learning, and Computer networks. 

Grant: #CCF-2246186 Investigators:Zhao, Yu 09-01-2023 -08-31-2025 National Science Foundation Leroid: Bug Oracle and Environment Configuration Automation for Android Bug Report Reproduction Role:PI $175000.00 Type:Grant

Peer Reviewed Publications

Dingbang Wang, Yu Zhao, Lu Xiao and Tingting Yu (2023. ) An Empirical Study of Regression Testing for Android Apps in Continuous Integration Environment .ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ,

Z Zhang, R Winn, Y Zhao, T Yu, WGJ Halfond (2023. ) Automatically Reproducing Android Bug Reports Using Natural Language Processing and Reinforcement Learning .ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), ,

Y Zhao, T Su, Y Liu, W Zheng, X Wu, R Kavuluru, WGJ Halfond, T Yu (2022. ) Recdroid+: Automated end-to-end crash reproduction from bug reports for android apps .ACM Transactions on Software Engineering and Methodology (TOSEM), ,

J Chu, T Yu, J Huffman Hayes, X Han, Y Zhao (2022. ) Effective fault localization and context‐aware debugging for concurrent programs .Software Testing, Verification and Reliability 32 (1), e1797, ,

X Wu, W Zheng, X Chen, Y Zhao, T Yu, D Mu (2021. ) Improving high-impact bug report prediction with combination of interactive machine learning and active learning .Information and Software Technology 133, 106530, ,

H Wang, X Li, Y Wang, Y Zhao, Y Yu, H Yang, C Qian (2020. ) SICS: Secure and dynamic middlebox outsourcing .IEEE/ACM Transactions on Networking 28 (6), 2713-2726, ,

Y Zhao, T Yu, T Su, Y Liu, W Zheng, J Zhang, WGJ Halfond (2019. ) Recdroid: automatically reproducing android application crashes from bug reports .2019 IEEE/ACM 41st International Conference on Software Engineering (ICSE …, ,

Y Zhao, K Miller, T Yu, W Zheng, M Pu (2019. ) Automatically extracting bug reproducing steps from android bug reports .International Conference on Software and Systems Reuse, ICSR 2019, ,

Y Zhao, Y Liu, T Yu, T He, C Qian (2018. ) FREDI: Robust RSS-based ranging with multipath effect and radio interference .Computer Networks 147, 49-63, ,

Y Zhao, TS Zaman, T Yu, JH Hayes (2017. ) Using deep learning to improve the accuracy of requirements to code traceability .Grand Challenges of Traceability: The Next Ten Years 22, ,

Y Zhao, T Yu (2017. ) Channel Quality Correlation Based Channel Probing in Multiple Channels .International Conference on Computer Communication and Networks (ICCCN), ,

Y Zhao, H Wang, X Lin, T Yu, C Qian (2017. ) Pronto: Efficient test packet generation for dynamic network data planes .37th International Conference on Distributed Computing Systems (ICDCS), ,

Y Wu, Y Zhao, Y Liu (2015. ) Channel adjustment for performance enhancement in wireless networks .International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, ,

J Dai, Y Zhao, Y Liu, L Qi, C Hu (2014. ) Cloud-assisted analysis for energy efficiency in intelligent video systems .The Journal of Supercomputing 70, 1345-1364, ,

Y Zhao, Y Wu, J Wang, X Zhong, L Mei (2014. ) Wavelet transform for spectrum sensing in Cognitive Radio networks .nternational Conference on Audio, Language and Image Processing, 565-569, ,

Y Zhao, Y Liu, T He, AV Vasilakos, C Hu (2013. ) FREDI: Robust RSS-based ranging with multipath effect and radio interference .2013 Proceedings IEEE INFOCOM, 505-509, ,

Y Zhao, B Guo (2012. ) Cognitive Radio Spectrum Sensing Based on Wavelet Denoising .Recent Advances in Computer Science and Information Engineering, ,