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Yu Huiqun

Ph.D. Supervisor

Professor

School of Information Science and Engineering

Contact

Office Location:

Email: yhq@ecust.edu.cn

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Resume

Huiqun Yu received the B.S. degree from Nanjing University in 1989, M.S. degree from East China University of Science and Technology (ECUST) in 1992, and Ph.D. degree from Shanghai Jiaotong University in 1995, all in computer science. He is currently a Professor of computer science with the Department of Computer Science and Engineering at ECUST. From 2001 to 2004, he was a Visiting Researcher in the School of Computer Science at Florida International University. His research interests include big data, software engineering, and trustworthy computing. He is a member of the ACM, a senior member of the IEEE, and a senior member of the China Computer Federation.

Research

NSFC Grants as PI

[1]   Data-Driven Techniques for Automatic Code Summarization (Grant No. 62372174). National Science Foundation of China, RMB 500,000, January 2024 - December 2027

[2]   Service-based Approach to Modeling CPS Software Architectures (Grant No. 61173048). National Science Foundation of China, RMB 550,000, January 2012 - December 2015

[3]   Aspect-Oriented Software Architectures Modeling and Verification (Grant No. 60773094). National Science Foundation of China, RMB 300,000, January 2008 - December 2010

[4]   Modeling and Enforcing Time and Context-Aware Access Control Policies (Grant No. 60473055). National Science Foundation of China , RMB 230,000, January 2005 - December 2007

[5]   Automatic Verification Techniques for Embedded Systems (Grant No. 69703008). National Science Foundation of China , RMB 100,000, January 1998 - December 2000


Publications

[1]    Ziyi Zhou, Mingchen Li, Huiqun Yu, Guisheng Fan, Penghui Yang, Zijie Huang. Learning to generate structured code summaries from hybrid code context. IEEE Transactions on Software Engineering, 2024, 50(10): 2512-2528.

[2]    Jiayin Zhang, Huiqun Yu, Guisheng Fan, Qifeng Tang, Zengpeng Li, Jin Xu. Cold-start-aware cloud-native parallel service function chain caching in edge-cloud network. IEEE Internet of Things Journal, 11(11): 20340-20356, 2024.

[3]    Zengpeng Li, Huiqun Yu, Guisheng Fan, Jiayin Zhang, Jin Xu. Energy-efficient offloading for DNN-based applications in edge-cloud computing: A hybrid chaotic evolutionary approach. Journal of Parallel and Distributed Computing, 187: 104850, 2024.

[4]    Zijie Huang, Huiqun Yu, Guisheng Fan, Zhiqing Shao, Ziyi Zhou, Mingchen Li. On the effectiveness of developer features in code smell prioritization: A replication study. Journal of Systems and Software, 210: 111968, 2024.

[5]    Jiayin Zhang, Huiqun Yu, Guisheng Fan, Zengpeng Li. Elastic task offloading and resource allocation over hybrid cloud: A reinforcement learning approach. IEEE Transactions on Network and Service Management, 21(2): 1983-1997, 2024.

[6]     Ziyi Zhou, Huiqun Yu, Guisheng Fan, Zijie Huang, Kang Yang. Towards retrieval-based neural code summarization: A meta-learning approach. IEEE Transactions on Software Engineering,  49(4): 3008-3031,2023

[7]     Huaiying Sun, Huiqun Yu, Guisheng Fan, Liqiong Chen, Zheng Liu. Security-aware and time-guaranteed service placement in edge clouds. IEEE Transactions on Network and Service Management, 20(1): 711-725. 2023.

[8]     Zengpeng Li, Huiqun Yu, Guisheng Fan, Jiayin Zhang. Cost-efficient fault-tolerant workflow scheduling for deadline-constrained microservice-based applications in clouds. IEEE Transactions on Network and Service Management, , 20(3): 3220-3232, 2023 

[9]     Huaiying SunHuiqun YuGuisheng Fan. Contract-based resource sharing for time effective task scheduling in fog-cloud environment. IEEE Transactions on Network and Service Management, 17(2): 1040-1053, 2020.

[10]  Guisheng FanLiqiong ChenHuiqun YuDongmei Liu. Modeling and analyzing dynamic fault-tolerant strategy for deadline constrained task scheduling in cloud computing. IEEE Transactions on Systems Man Cybernetics: Systems, 50(4): 1260-1274, 2020).