Daihong Zhou (周代宏) is currently serving as a lecturer at the School of Computer Science and Information Engineering in Shanghai Institute of Technology. Prior to that, he studied in the Software Engineering Lab, also known as the CodeWisdom Research Team, at the School of Computer Science Fudan University. In January 2024, he received his Ph.D. in Software Engineering from Fudan University, under the guidance of Professor Xin Peng (彭鑫) and Professor Yijian Wu (吴毅坚).
Dr. Zhou's research focuses on AI for Software Engineering (AI4SE), Robotics Software Engineering (RoSE), and Embodied AI (EAI), with a particular emphasis on areas such as OSS Vulnerability Analysis, Robotics Vulnerability Analysis, Software Repository Mining, and Embodied AI Robot, among others. He explores the application of these concepts in both traditional software systems and robotics software systems. Dr. Zhou investigates how advanced AI techniques, such as large language models (LLMs) and knowledge graphs (KGs), can enhance development efficiency, software quality, software security, and system reliability. In addition, he addresses challenges in robotic motion control and planning, leveraging LLMs and vision-language models (VLMs) to improve robotic automation. His goal is to integrate software engineering principles with AI technologies to drive the development of intelligent, reliable, and autonomous systems.
Collaboration Invitation: Dr. Zhou is open to collaborating with professors, researchers, and industry professionals who share similar research interests or have relevant projects.
I am also looking for self-motivated undergraduate/master students interested in SE, AI, and Robot. Please drop me an email if you are interested in working with me!
🔥 News
- 2025.01: 🎉 One paper titled “Effectively Modeling UI Transition Graphs for Android Apps via Reinforcement Learning” got accepted to ICPC 2025.
- 2024.06: 🎉 One paper titled “Enhancing Change Impact Prediction by Integrating Evolutionary Coupling with Software Change Relationships” got accepted to ESEM 2024.
- 2024.01: 🎉 I received my Ph.D from Fudan University.
- 2023.11: One paper titled “Revealing Code Change Propagation Channels by Evolution History Mining” got accepted in JSS. Paper
📝 Publications
Journal Papers
- Daihong Zhou, Yijian Wu, Xin Peng, Jiyue Zhang, Ziliang Li: Uncovering Change Propagation Channels by Evolution History Mining, Journal of Systems and Software (JSS 2024) (CCF B, SCI, Q2, IF: 3.7)
Conference Papers
- Daihong Zhou, Jiyue Zhang, Ping Yu, Wunan Guo: Enhancing Change Impact Prediction by Integrating Evolutionary Coupling with Software Change Relationships, The 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2024) (CCF B, EI)
- Daihong Zhou, Yijian Wu, Lu Xiao, Yuanfang Cai, Xin Peng, Jinrong Fan, Lu Huang, Heng Chen: Understanding Evolutionary Coupling by Fine-grained Co-change Relationship Analysis, The 27th International Conference on Program Comprehension (ICPC 2019) (CCF B, EI)
- Kaifeng Huang, Bihuan Chen, Xin Peng, Daihong Zhou, Ying Wang, Yang Liu, Wenyun Zhao: ClDiff: Generating Concise Linked Code Differences, The 33rd International Conference on Automated Software Engineering (ASE 2018) (CCF A, ACM SIGSOFT Distinguished Paper Award, EI)
- Daihong Zhou, Guoying Zhang, Yu Guo: Detecting Multi-interface from Oil-water Separation Image Based on Difference Statistics Method, IEEE International Conference on Smart Cloud (SmartCloud 2017) (EI)
- Guoying Zhang, Daihong Zhou, Beihua Feng and Wenlin Gong: A New Interface Detection Technology Based on Fusion Boundary Enhancement, International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE) 2015 (CPCI-S)
- Guoying Zhang, Daihong Zhou, Beihua Feng and Wenlin Gong: Floatation Froth tracking and speed measurement based on features and spatial relationship, International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE) 2015 (CPCI-S)
🎖 Honors and Awards
- 2018: CCF Prototype Competition Award (2nd Prize)
- 2018: ACM SIGSOFT Distinguished Paper Award, ASE 2018
- 2017/2018/2019: Outstanding Academic Scholarship, Fudan University
- 2015/2016: Outstanding Graduate Student, China University of Mining and Technology (Beijing), China
💻 Teaching
- Autumn 2024: Lecturer, Fundamentals of Inteligence Technology, Undergraduate-level, Shanghai Institute of Technology, China
- Summer 2019: Teaching Assistant, Software Design, Undergraduate-level, Fudan University, China
- Summer 2018: Teaching Assistant, Software Design, Undergraduate-level, Fudan University, China
- Spring 2015: Teaching Assistant, Digital Image Processing, Undergraduate-level, China University of Mining and Technology (Beijing), China