Yuqi Zhao, a Ph.D. candidate from the Software Engineering program at Wuhan University’s School of Computer Science, enrolled in 2018 under the supervision of Professor Li Bing. Expected to graduate in December 2023, Zhao’s research focuses on software engineering, services computing, and edge computing. Their relevant work has been published in journals and conferences within the fields of service computing and artificial intelligence, such as KBS, ICWS, ICSOC, TNSM, and JCST. Zhao has been honored with the Distinguished Paper Award at ICSOC2023 and the Best Student Paper Award at ICWS2021. In 2022, Zhao was recognized as one of the 3551 talents in Optics Valley, and in 2023, he achieved the Silver Award in the 9th China International ``Internet Plus” Innovation and Entrepreneurship Competition for College Students.
My research interest include software engineering, services computing, and edge computing. I have published more than 10 papers at the top international AI conferences with total google scholar citations 100+ (You can also use google scholar badge 
🔥 News
- 2023.12: 🎉🎉 Our research is accepted to the flagship software engineering conference SANER2024.
- 2023.12: 🎉🎉 Our Low-Code Platform achieve Silver Award in the 9th China International “Internet Plus” Innovation and Entrepreneurship Competition for College Students.
- 2023.11: 🎉🎉 Our research achieves the Distinguished Paper Award in ICSOC 2023.
📝 Publications
A Deep Reinforcement Learning Approach to Online Microservice Deployment in Mobile Edge Computing
Yuqi Zhao, Jian Wang, Bing Li
- This paper proposes DDQN, a deep reinforcement learning approach to online microservice deployment. Specifically, DDQN leverages the Dueling DQN (Deep Q-Network) model to generate real-time microservice deployment plans.
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[SANER’24]Code Reviewer Recommendation Based on a Hypergraph with Multiplex Relationships, Yu Qiao, Jian Wang, Can Cheng, Wei Tang, Peng Liang, Yuqi Zhao and Bing Li
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[ICSOC’23]A Deep Reinforcement Learning Approach to Online Microservice Deployment in Mobile Edge Computing, Yuqi Zhao, Jian Wang, Bing Li
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[ICWS’23]A Deep Reinforcement Learning-Based Pointer Scoring Network for Edge Task Scheduling., Yuqi Zhao, Delun Jiang, Bing Li, Lei Fu, Jian Wang, Duantengchuan Li
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[KBS’22]Integrating deep reinforcement learning with pointer networks for service request scheduling in edge computing., Yuqi Zhao, Bing Li, Jian Wang, Delun Jiang, Duantengchuan Li
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[ICWS’21]Microservice Pre-Deployment Based on Mobility Prediction and Service Composition in Edge., Jiale Deng, Bing Li, Jian Wang, Yuqi Zhao
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[ICWS’20]Integrating EMD with Multivariate LSTM for Time Series QoS Prediction., Xiuqing Chen, Bing Li, Jian Wang, Yuqi Zhao, Yiming Xiong
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[JCST’17]Developer Role Evolution in Open Source Software Ecosystem: An Explanatory Study on GNOME., Can Cheng, Bing Li, Zengyang Li, Yuqi Zhao, Feng-Ling Liao:
🎖 Honors and Awards
- 2023.12: 🎉🎉 Our Low-Code Platform achieve Silver Award in the 9th China International “Internet Plus” Innovation and Entrepreneurship Competition for College Students.
- 2023.11: 🎉🎉 Our research achieve the Distinguished Paper Award in ICSOC 2023.
📖 Educations
- 2018.09 – 2023.12 (now), Wuhan University (WHU), Ph.D student in Software Engineering (SE).
- 2015.09 – 2018.06, Wuhan University (WHU), Master student in Software Engineering (SE).
- 2011.09 – 2015.06, Wuhan University (WHU), B.S. in Spatial Information and Digital Technology (SIDT), World Ranking First.
💬 Invited Talks
- 2023.11, A Deep Reinforcement Learning Approach to Online Microservice Deployment in Mobile Edge Computing. ICSOC 2023, Roma, Italy.
- 2023.06, A Deep Reinforcement Learning-Based Pointer Scoring Network for Edge Task Scheduling. ICWS 2023, Chicago, USA | [video]
💻 Internships
- 2018.11 - 2023.12, HorseCoder, China.