I am an Assistant Professor at the University of Utah leading the Lab for UI and Attention (LUNA).
I served as an Accessibility Chair for CHI2023 and CHI2024.
I am currently the Workshop Chair for IUI2027 and the Publicity Chair for VL/HCC2026.
I received the Aalto Best PhD Dissertation Award, Meta PhD Fellowship, Google Europe Students Scholarship, and Nokia Scholarship. I was selected as a Heidelberg Laureate Forum Young Researcher and UCSD Data Science Rising Star.
I initiated and served as the lead organizer for the Computational User Interface Workshops, successfully held five times at the CHI conference.
I got my Ph.D. supervised by Prof. Antti Oulasvirta and Prof. Vikas Garg at
Aalto University and the Finnish Center for Artificial Intelligence (FCAI), Finland ๐ซ๐ฎ.
I was a visiting Ph.D. student in Prof. Jeffrey Bigham's BIG Lab at Carnegie Mellon University in 2024. During my Ph.D., I interned at Apple AIML Lab and Adobe Research Document Intelligence Lab.
I also collaborate closely with Prof. Wolfgang Stuerzlinger (Simon Fraser University, Canada ๐จ๐ฆ) and Prof. Christof Lutteroth (University of Bath, UK ๐ฌ๐ง) on our series of OR-Constraint (ORC) Adaptive GUI layout projects.
Previously, I worked on Human Motion Capture and the Reconstruction of Non-Rigid Deformations at the Max Planck Institute for Informatics, Germany ๐ฉ๐ช and was a software engineer in the FPGA group at Intel ๐บ๐ธ. I got my Master's degree in Computer Graphics under Prof. Matthias Zwicker from the
University of Maryland, College Park, USA ๐บ๐ธ, and my Bachelor's degree in
Computer Science
Specialist and
Mathematics
Major under Prof. Gerald Penn from the
University of Toronto, Canada ๐จ๐ฆ.
Photo taken in Pittsburgh in 2024.
I am looking for new student, especially students working on multimodal generative AI, eye tracking, UI agent, UI generation, or other related research areas. Fill in this Google Form if you are interested in joining my group as an RA or a PhD student.
My Research
I aim to develop human-centered technologies that enhance human capabilities by adapting to users and their contexts.
Computational Representation for Graphical User Interfaces
Explore how to best represent graphical UIs for computation.
- Capture the key properties and characteristics of UI designs so that we do not need to encode them manually.
- Effectively carry out the operations we need for downstream applications, such as how to learn, infer, optimize, and adapt.
I am currently serving as a Publicity Chair at VL/HCC2026, Workshop Chair at IUI2027 and an Associate Chair (AC) at UIST2026.
I was a PC Member at VL/HCC2025 and an Associate Chair (AC) at CHI2026.
I was an Associate Chair (AC) for Full Papers at CHI2025,
a Program Committee Member for full paper at IUI2025,
and a Program Committee Member for the ASSETS2024 Experience Reports track.
I served as the Accessibility Co-Chair, Workshop Juror, Associate Chair (AC) for Late Breaking Works, and Session Chair for two sessions at CHI2023.
I enjoyed my internship with the UI Understanding team under Jeff Nichols at Apple AIML so much! I wish it could be longer!
We organized our second Computational User Interface workshop, 'The Future of Computational Approaches for Understanding and Adapting User Interfaces' at CHI2023.
I received Special Recognition for Outstanding Reviews for CHI2024, UIST2022 and CHI2021.
Representative Publications
SeekUI: Predicting Visual Search Behavior on Graphical User Interfaces with a Reward-Augmented Vision Language Model Zixin Guo*,
Yue Jiang*,
Luis A. Leiva,
Antti Oulasvirta (*Equal Contribution)
ACM CHI Conference on Human Factors in Computing Systems (CHI2026)
Graph4GUI: Graph Neural Networks for Representing Graphical User Interfaces Yue Jiang,
Changkong Zhou,
Vikas Garg*,
Antti Oulasvirta* ACM CHI Conference on Human Factors in Computing Systems (CHI2024)
EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learning Yue Jiang*,
Zixin Guo*,
Hamed R. Tavakoli,
Luis A. Leiva,
Antti Oulasvirta (*Equal Contribution)
ACM Symposium on User Interface Software and Technology (UIST2024)
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization Yue Jiang,
Dantong Ji,
Zhizhong Han,
Matthias Zwicker IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR2020) (Oral Top 5%)
ILuvUI: Instruction-tuned LangUage-Vision modeling of UIs from Machine Conversations Yue Jiang,
Eldon Schoop,
Amanda Swearngin,
Jeffrey Nichols ACM Conference on Intelligent User Interfaces (IUI2025) Paper
Impact of Design Decisions in Scanpath Modeling Parvin Emami,
Yue Jiang,
Zixin Guo,
Luis A. Leiva ACM Symposium on Eye Tracking Research and Applications (ETRA2024)
Pretty Princess vs. Successful Leader: Gender Roles in Greeting Card Messages Jiao Sun,
Tongshuang Wu,
Yue Jiang,
Ronil Awalegaonkar,
Xi Victoria Lin,
Diyi Yang ACM CHI Conference on Human Factors in Computing Systems (CHI2022) (Best Paper Honorable Mention)
ReverseORC: Reverse Engineering of Resizable User Interface Layouts with OR-Constraints Yue Jiang,
Wolfgang Stuerzlinger,
Christof Lutteroth ACM CHI Conference on Human Factors in Computing Systems (CHI2021)
Vid2Doppler: Synthesizing Doppler Radar Data from Videos for Training Privacy-Preserving Activity Recognition Karan Ahuja,
Yue Jiang,
Mayank Goel,
Chris Harrison ACM CHI Conference on Human Factors in Computing Systems (CHI2021)
โPositive Energyโ: Perceptions and Attitudes Towards COVID-19 Information on Social Media in China Zhicong Lu,
Yue Jiang,
Chenxinran Shen,
Margaret C Jack,
Daniel Wigdor,
Mor Naaman ACM CHI Computer-Supported Cooperative Work and Social Computing (CSCW2021)
The Government's Dividend: Complex Perceptions of Social Media Misinformation in China Zhicong Lu,
Yue Jiang,
Cheng Lu,
Mor Naaman,
Daniel Wigdor ACM CHI Conference on Human Factors in Computing Systems (CHI2020)
Workshop Papers, Extended Abstracts, and Doctoral Consortium
Computational Representations for Graphical User Interfaces Yue Jiang ACM CHI Conference on Human Factors in Computing Systems (CHI2024 Doctoral Consortium)
[PDF]
ILuvUI: Instruction-tuned LangUage-Vision modeling of UIs from Machine Conversations Yue Jiang,
Eldon Schoop,
Amanda Swearngin,
Jeffrey Nichols ACM CHI Conference on Human Factors in Computing Systems (CHI2024 Workshop Paper)
[PDF]
Suggesting Colors for UI Designs with Graph Neural Networks Busra Asan,
Lena Hegemann,
Yue Jiang (project advisor),
Antti Oulasvirta ACM CHI Conference on Human Factors in Computing Systems (CHI2024 Workshop Paper)
Disability Semantics for Academic Writing Garreth Tigwell, Yue Jiang AccessSIGCHI
Designer-in-the-Loop Layout Autocompletion with Graph Neural Networks Yue Jiang,
Vikas Garg,
Antti Oulasvirta Finnish Center for Artificial Intelligence AI Day Workshop, 2022
DocShop: Bringing Document Content to Life Yue Jiang Adobe Research Project Expo, 2020
Honors Bachelor of Science in
Computer Science
Specialist &
Mathematics
Major (High Distinction) @
University of Toronto ๐จ๐ฆ Sept. 2014 - Apr. 2017 (granted in 2018) Supervisor:
Prof. Gerald Penn
Teaching Assistant,
CSC263 Data Structures and Analysis (UofT) ๐จ๐ฆ
Jan. 2017 - Apr. 2017
Teaching Assistant,
CSC263 Data Structures and Analysis (UofT) ๐จ๐ฆ
Sept. 2016 - Dec. 2016
Teaching Assistant,
CSC165: Mathematical Expression and Reasoning for Computer Science (UofT) ๐จ๐ฆ
Jan. 2016 - Apr. 2016
Peer Tutor,
Calculus, Linear Algebra I, Linear Algebra II (UofT) ๐จ๐ฆ
Sept. 2015 - Apr. 2016
Teaching Volunteer,
Elementary School and Junior High School Mathematics and Physics, Qinyuan, Shanxi, China ๐จ๐ณ
2014
My Name
My first name ็ฅ is a combination of my mother's last name ็ and "the Moon" ๆ, which has the same pronunciation as "the Moon" in Chinese. My last name ๆฑ is "river". So my full name is "the Moon over the river".
In China, "the Moon over the river" is widely used in poems to express the emotion that although we cannot live together with our family, we can still share the same Moon at night, and the Moon over the river can always send the best wishes to the ones we love!
I hope all the families can have more chances to reunite. If it cannot be realized, I hope the Moon over the river can help us send the best wishes.
Acknowledgment
I appreciate all the people who have helped or encouraged me throughout my life! I am an unlucky but also super lucky person. I may have gone through a little bit more ups and downs in my life than most people, but I always received countless support from so many people, no matter what situation I was in.
My goal is to be a good mentor in the future since some unforgettable professors and mentors always supported me and served as examples for me. Prof. Wolfgang Stuerzlinger is the most important person in my academic journey. I am grateful for the opportunity he gave me to work on exciting HCI projects, even though we had never met in person until two years later.
He was the person who transformed me from a novice student to a researcher. He continuously taught me the skills to conduct high-quality research and has been an unwavering source of encouragement and support both academically and emotionally throughout these years.
It was also an unforgettable moment when Wolfgang squatted down to my level the first time we met, as he is tall.
Together with Prof. Christof Lutteroth, they made a significant impact on my academic journey. The second project I worked on with them remains my favorite project to date. I thoroughly enjoyed the topic and the experience of working with both of them. Their support and encouragement meant a great deal to me and made me feel happy every day. I was inspired by their hard work and dedication, especially considering I was just a remote student. Prof. Faith Ellen was my idol during my undergrad years. She encouraged me to speak English, as I almost could not speak English when I went to Canada, and let me fall in love with data structure and computer theory. She taught me that persistence is much more important than intelligence. Prof. Gerald Penn was my undergraduate advisor in the Mathematical Linguistics group. He has some illusion about me that he often told other people that he would rank me as the best undergraduate student he has ever worked with. I really thank him for overpraising me.
I was a data structure TA under Prof. Sam Toueg and Prof. Francois Pitt. I appreciate them giving me the chance to teach students data structure proofs for two hours every week. I broke all the chalks in the classroom during my first time teaching since I was too nervous. I still remember Sam and I worked past midnight to do the grading.
My graduate advisors, Prof. Antti Oulasvirta and Prof. Matthias Zwicker have been instrumental in advancing my research and teaching abilities. Through their guidance and support, they have helped me to make meaningful progress in these areas.