Yuwei Xiao
Pronounced “yoo-way shyow” 肖煜玮
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UCLA
Hi, I am Yuwei! I’m a third-year Ph.D. student in Computer Science at UCLA, advised by Prof. Eunice Jun; I also work closely with Prof. J.D. Zamfirescu-Pereira.
My research lies at the intersection of human–computer interaction (HCI), data visualization, and human–AI collaboration. I design and study interactive systems that help people (i) understand and communicate complex data and models, and (ii) interpret, steer, and work alongside AI.
I aspire to build collaborative experiences in which humans and AI stay in a tight loop, with human knowledge aligning AI as AI augments human intelligence.
I obtained my bachelor’s degree in Computer Science from Southern University of Science and Technology (SUSTech). Previously, I was fortunate to intern at Microsoft Research with Chenglong Wang, and work with Prof. Haojian Jin at UCSD.
⭐️ I’m seeking research internship opportunities! If you’d like to collaborate or chat about research, please feel free to reach out :)
News
- Oct 2026 Flint-interactive released! Check out the blog, code and demos!
- Jun 2026 Joined Microsoft Research as a Research Intern
- Jan 2026 Our paper PriorWeaver was accepted to CHI 2026
- Aug 2025 Our demo ReadFlect was accepted to UIST 2025
- Sep 2024 Started my PhD journey at UCLA CS
- Jun 2024 Graduated from SUSTech with honors
- May 2024 Served as a Student Volunteer at CHI 2024
- Oct 2023 Attended UIST 2023 in San Francisco
Research
All publications- CHI 2026
PriorWeaver: Prior Elicitation via Iterative Dataset Construction
We reframe prior elicitation in Bayesian analysis as a dataset authoring task, using interactive visualizations to help people externalize and structure their knowledge in intuitive, tangible ways.
@inproceedings{xiao2025priorweaverpriorelicitationiterative, title = {PriorWeaver: Prior Elicitation via Iterative Dataset Construction}, author = {Xiao, Yuwei and Ma, Shuai and Oulasvirta, Antti and Jun, Eunice}, booktitle = {Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems}, year = {2026}, doi = {10.1145/3772318.3790349}, } - UIST 2025
Demonstration of ReadFlect: Scaffolding Intent-driven, Multi-session, and Reflective Reading of Academic Papers
We design a intelligent active reading tool to support researchers keep track of their reading goals and progress during multi-session paper reading.
@inproceedings{xiao2025demonstration, title = {Demonstration of ReadFlect: Scaffolding Intent-driven, Multi-session, and Reflective Reading of Academic Papers}, author = {Xiao, Yuwei and Pai, Ollie and Roysar, Brian and Shi, Michael and Jun, Eunice}, booktitle = {Adjunct Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology}, year = {2025}, doi = {10.1145/3746058.3759011}, } - Preprint
On the Feasibility of Reasoning about the Internal States of Blackbox IoT Devices Using Side-Channel Information
We explore the potential of using side-channel information and annotation interface to help users build up better mental models of black box IoT devices.
@misc{sun2023feasibilityreasoninginternalstates, title = {On the Feasibility of Reasoning about the Internal States of Blackbox IoT Devices Using Side-Channel Information}, author = {Sun, Wei and Xiao, Yuwei and Jin, Haojian and Bharadia, Dinesh}, year = {2023}, doi = {10.48550/arXiv.2311.13761}, }