معرفی
Yue Jiang is an incoming Assistant Professor at the University of Utah (Fall 2025) and is currently finishing her Ph.D. at Aalto University and the Finnish Center for Artificial Intelligence (FCAI). Her research focuses on human-centered technologies in HCI, computer vision, and deep learning, particularly in computational user interface understanding, eye tracking, and adaptive GUI layouts. She has held visiting roles at Carnegie Mellon University (CMU) and collaborated with institutions in Canada and the UK. She serves on program committees for CHI, VL/HCC, and IUI, and has organized computational UI workshops at CHI conferences.
Education:
- Ph.D. in Intelligent Systems (Aalto University & FCAI, 2025)
- Visiting Ph.D. Student (CMU, 2024)
- M.Sc. in Computer Science (University of Maryland, 2020)
- B.Sc. in Computer Science (University of Toronto, 2018)
Research Interests: Yue explores computational representations of UIs, human behavior modeling via eye tracking and motion capture, and adaptive interfaces. Her work bridges HCI, computer vision, and machine learning to enhance human capabilities through AI-driven systems.
Awards:
- Meta Research PhD Fellowship (2023–2025)
- Heidelberg Laureate Forum Young Researcher (2024)
- Google Europe Students with Disabilities Scholarship (2022)
Advising & Grants: Yue mentors students in areas like multimodal generative AI and seeks researchers for her group. She has received grants from FCAI, Adobe Research, and the National Science Foundation.
Labs & Collaborations: Active in the Computational Behavior Lab (Aalto) and BIG Lab (CMU), she collaborates on projects like OR-Constraints for adaptive GUIs and graph-based UI modeling.
