Papers
5
Total Citations
40
H-Index
3
About
Yijun Yu is a leading researcher at the intersection of software engineering, robotics, and cyber-physical systems (CPS). His work centers on end-user development, model-driven engineering, and requirements engineering for complex, adaptive systems. Yu’s major contributions include pioneering the EUD-MARS framework, which empowers non-experts to design and adapt model-driven robotic software, and developing feature-driven mediator synthesis for collaborative security in the Internet of Things (IoT). His research on requirements engineering for CPSs has been instrumental in addressing the challenges of dependable, interconnected systems in sectors like aviation and transportation. With over 40 citations across his most-cited works, Yu’s impact is evident in his ability to bridge theory and practice, making advanced software engineering accessible to end users. Notable achievements include his work on knowledge-distilled pre-training models for vision-language navigation, showcasing his versatility in AI-driven robotics. Yu’s research continues to shape how we build secure, adaptive, and user-friendly systems for the IoT and beyond.
Research Focus
Key Achievements
Top Papers
- 1
- 2Feature-Driven Mediator Synthesis12 citations · 2018
- 3RE4CPS: Requirements Engineering for Cyber-Physical Systems10 citations · 2019
- 4Knowledge distilled pre-training model for vision-language-navigation3 citations · 2022
- 5Feature-driven Mediator Synthesis: Supporting Collaborative Security in the Internet of Things2 citations · 2016