Daihong Zhou (周代宏) is currently serving as a lecturer at the Department of Software Engineering, Faculty of Intelligence Technology 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 and Professor Yijian Wu.
Dr. Zhou leads the Embodied Intelligence Robotics Lab (EIR Lab). Our group focuses on Embodied Intelligence and Robotics (EIR), with research covering Embodied Intelligence Systems, Embodied AI Datasets, Vision-Language-Action (VLA) Models, 3D Reconstruction, Robot Simulation, Evaluation, and Robot System Security. We aim to lay a solid foundation for more reliable and robust autonomous robotic systems.
Join Our Team: I am looking for self-motivated master/undergraduate students interested in Robot, Artificial Intelligence, and Software Engineering. If interested in project collaboration, please email me directly.
Collaboration Invited: I also seek collaboration with professors, researchers, and industry partners whose research aligns with me or who have related projects.
🔥 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.
- 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: 4.1)
Conference Papers
- Wunan Guo, Zhen Dong, Liwei Shen, Daihong Zhou, Bin Hu, Chen Zhang, Hai Xue: Effectively Modeling UI Transition Graphs for Android Apps via Reinforcement Learning, 2025 IEEE/ACM 33rd International Conference on Program Comprehension (ICPC 2025) (CCF B, EI)
- 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
📇 Services
- Academic Member: CCF Professional Member, CICC Professional Member, and ACM Professional Member
- Journal Reviewer: Automated Software Engineering (ASE)
💻 Research Team
- Master Student: Songyan Mu (2024), Jinyao Guo (2025), Quanshen Yu (2025) and Zheng Xu (2025)
- Undergraduate Student: Yinan Li, Jinchao Zhang, Yu Zheng, Ao Xu, Hongtu Wu and Boyi Zhang