Yu Zhao
Assistant ProfessorComputer Science
University of Cincinnati
Cincinnati, OH
Email: ZHAO3Y3 AT UCMAIL.UC.EDU
Phone: (859)693-2220
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Yu ZhaoAssistant ProfessorComputer Science University of Cincinnati Cincinnati, OH Email: ZHAO3Y3 AT UCMAIL.UC.EDU Phone: (859)693-2220 |
My research interests include Software Testing, Natural Language Processing, Deep/Reinforcement Learning, Computer Networks, Wireless Sensor Network, Indoor localization.
I am looking for Ph.D. students in software engineering research direction.
My advisor is Dr. Tingting Yu.
Current PhD Students:
- Bangyan Ju (co-advised by Phu Phung)
- Jing Yang
- Jielun Cui
Grant:
- CCF-2342355
- UC Subaward with the Ohio Cyber Range Institute (OCRI)
- UC Subaward with the Strategic the Ohio Council for Higher Education (SOCHE)
[APSEC'24] Bangyan Ju, Jin Yang, Tingting Yu, Tamerlan Abdullayev, Yuanyuan Wu, Dingbang Wang, Yu Zhao, A Study of Using Multimodal LLMs for Non-Crash Functional Bug Detection in Android Apps, In Proceedings of the 31st Asia-Pacific Software Engineering Conference (APSEC), 2024.
[ISSTA'24] Dingbang Wang, Yu Zhao, Sidong Feng, Zhaoxu Zhang, William G.J. Halfond, Chunyang Chen, Xiaoxia Sun, Jiangfan Shi, Tingting Yu, Feedback-Driven Automated Whole Bug Report Reproduction for Android Apps, In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2024.
[SEDE'24] Phu H. Phung, Allen Varghese, Bojue Wang, Yu Zhao, Chong Yu, JSMBox—A Runtime Monitoring Framework for Analyzing and Classifying Malicious JavaScript, In Proceedings of the International Conference on Software Engineering and Data Engineering (SEDE), 2024. [Best Paper Award]
[SEAI'24] Jielun Cui, Yutong Zhao, Chong Yu, Jiaqi Huang, Yuanyuan Wu, Yu Zhao, Code Comprehension: Review and Large Language Models Exploration, In Proceedings of the 2024 IEEE 4th International Conference on Software Engineering and Artificial Intelligence (SEAI), 183–187, 2024. [Best Paper Award]
[ISSTA'23] Zhaoxu Zhang, Robert Winn, Yu Zhao, Tingting Yu, William G.J. Halfond, Automatically Reproducing Android Bug Reports Using Natural Language Processing and Reinforcement Learning, In Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA), 2023.
[ESEM'23] Dingbang Wang, Yu Zhao, Lu Xiao, Tingting Yu, An Empirical Study of Regression Testing for Android Apps in Continuous Integration Environment, In Proceedings of the 2023 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM), 2023.
[ICSE'19] Yu Zhao, Tingting Yu, Ting Su, Yang Liu, Wei Zheng, Jingzhi Zhang, William G.J. Halfond, ReCDroid: Automatically Reproducing Android Application Crashes from Bug Reports, In IEEE/ACM International Conference on Software Software Engineering 2019.[pdf]
[ICSR'19] Yu Zhao, Kye Miller, Tingting Yu, Wei Zheng, Minchao Pu, Automatically Extracting Bug Reproducing Steps from Android Bug Reports, In IEEE/ACM International Conference on Software Software Engineering 2019.[pdf]
[ICDCS'17] Yu Zhao, Huazhe Wang, Xin Li, Tingting Yu, Chen Qian, Pronto: Efficient Test Packet Generation for Dynamic Network Data Planes, In IEEE International Conference on Distributed Computing Systems, 2017.[pdf]
[ICCCN'17] Yu Zhao, Tingting Yu, Channel Quality Correlation-based Channel Probing in Multiple Channels, In IEEE International Conference on Computer Communications and Networks, 2017.[pdf]
[CyberC'15] Yuanyuan Wu, Yu Zhao, Yunhuai Liu, Channel Adjustment for Performance Enhancement in Wireless Networks, In IEEE International Conference on Cyber-enabled distributed computing, 2015.[pdf] [Honorable Paper Award]
[ICALIP'14] Yu Zhao, Yuanyuan Wu, Jiang Wang, Xuexia Zhong, Lin Mei, Wavelet Transform for Spectrum Sensing in Cognitive Radio Networks, In IEEE International Conference on Audio, Language and Image Processing, 2014.
[INFOCOM'13] Yu Zhao, Yunhuai Liu, Tian He, Athanasios V. Vasilakosy, Chuanping Hu, FREDI: Robust RSS-based Ranging with Multipath Effect and Radio Interference, In IEEE International Conference on Computer Communications, 2013. [pdf]
[TOSEM'24] Yu Zhao, Brent Harrison, Tingting Yu, Dinodroid: Testing Android Apps Using Deep Q-Networks, In ACM Transactions on Software Engineering and Methodology (TOSEM), 33(5):1–24, 2024.
Yu Zhao, Ting SU, Yang Liu, Wei Zheng, Xiaoxue Wu, Ramakanth Kavuluru, William G.J. Halfond, Tingting Yu, ReCDroid+: Automated end-to-end crash reproduction from bug reports for Android apps, In ACM Transactions on Software Engineering and Methodology (TOSEM), 2022 .[pdf]
Xiaoxue Wu, Wei Zheng, Xiang Chen, Yu Zhao, Tingting Yu, Dejun Mu, Improving high-impact bug report prediction with combination of interactive machine learning and active learning, In Information and Software Technology, 2021 .
Justin Chu, Tingting Yu, Jane H. Hayes, Xue Han, Yu Zhao, Effective Fault Localization and Context-Aware Debugging for Concurrent Programs, In Software Testing, Verification & Reliability, 2021 .
Huazhe Wang, Xin Li, Yang Wang,, Yu Zhao, Ye Yu, Hongkun Yang, Chen Qian , SICS: Secure and Dynamic Middlebox Outsourcing, In IEEE/ACM Transactions on Networking (TON), 2020. .
Yu Zhao, Yunhuai Liu, Tingting Yu, Chen Qian, Tian He, FREDI: Robust RSS-based Ranging with Multipath Effect and Radio Interference, In Computer Networks, 2018.[pdf]
Jie Dai, Yu Zhao, Yunhuai Liu, Li Qi, Chuanping Hu, Cloud-assisted Analysis for Energy Efficiency in Intelligent Video Systems, Jie Dai, Yu Zhao, Yunhuai Liu, Li Qi, Chuanping Hu. In Journal of Supercomputing, 2014,
Yu Zhao, Tarannum Shaila Zaman, Tingting Yu, Jane Huffman Haye, Using Deep Learning to Improve the Accuracy of Requirements to Code Traceability, In Grand Challenges in Traceability (GCT), Abstract, 2017.[pdf]
Yu Zhao, Yunhuai Liu, Yuanyuan Wu, Cognitive Radio Spectrum Sensing based on Wavelet. CN103051401A.
Yunhuai Liu, Yu Zhao, Li Qi, Chuanping Hu, An Indoor Localization Method under the Multipath Effect and Environment Noise. CN103257335A.
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