Summary
Kaili Wang is a computer vision researcher with eight years of experience, currently developing autonomous driving and AI-for-health solutions at imec. She completed a PhD at KU Leuven focused on compositional visual representations and has authored papers at ICLR, ICIP, ACCV and BMVC, with awards including the Bell Labs Student Award Benelux and an ICIP runner-up best paper recognition. Her work spans neural network explanation, image generation, and object localization, bridging fundamental research and applied engineering from prototype vision systems to deployed automotive and health projects. Prior roles include hands-on computer vision engineering at Magics Technologies and thesis projects that tackled real-world tasks like photo geolocation and face recognition. Based in Leuven, she combines strong academic rigor with practical impact, often focusing on interpretability—an area that repeatedly distinguished her research in competitive venues.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at KU Leuven
Master of Science (MS), Electrical Engineering, option with Embedded System and Multimedia, Cum laude, Master of Science (MS), Electrical Engineering, option with Embedded System and Multimedia, Cum laude at University of Leuven
High School Diploma, High School Diploma at Chengdu SHISHI High School
Bachelor of Engineering (B.Eng.), Measurement and control technology and Instrumentation, Bachelor of Engineering (B.Eng.), Measurement and control technology and Instrumentation at University of Electronic Science and Technology of China
English, Chinese, Dutch