CV
📚 Education
- Ph.D. in Computer Science & Engineering, University of Washington, Ongoing
- M.S. in Human-Centered Computing, Georgia Tech, 2026
- B.Eng. in Industrial Engineering and Minor in Psychology, Tsinghua University, 2024
📑 Publications
- Yancheng Cao, Yishu Ji, Yue Fu, Sahiti Dharmavaram, Dr. Meghan Turchioe, Natalie C Benda, Lena Mamykina, Yuling Sun, Xuhai “Orson” Xu. “More than Decision Support: Exploring Patients’ Longitudinal Usage of Large Language Models in Real-World Healthcare Settings”. In: Proceedings of the CHI Conference on Human Factors in Computing Systems. CHI’26*
- Zhipeng Li, Yishu Ji, Ruijia Chen, Tianqi Liu, Yuntao Wang, Yuanchun Shi, Yukang Yan. “Modelling Effects of Visual Attention on Noticeability of Body-Avatar Offsets in Virtual Reality”. In: Proceedings of the CHI Conference on Human Factors in Computing Systems. CHI’25*
- Fengyuan Liu, Yishu Ji, Xin Lei, Pei-Luen Patrick Rau. ”Responses to Human and Robot Errors in Human–robot Collaboration: An fNIRS Study”. In: Proceedings of the International Conference on Human-Computer Interaction. HCII’24
🎤 Posters and Presentations
- Yishu Ji, Maria Kon, Andrew Lovett, Mark Livingston, Sangeet Khemlani, Yalong Yang, Cindy Xiong Bearfield. “Visualizing Motion Traces Enhances Pursuit Detection in Dynamic Scenes”. Poster presented at: The Annual Meeting of the Cognitive Science Society. CogSci’25
🧐 Research experience
- Summer 2025: Research Assistant @ Columbia SEA Lab
- Advised by Prof. Orson “Xuhai” Xu
- Leverage GenAI tools to make depression inference from wearable data.
- Conduct data analysis for a longitudinal diary study exploring use of LLM in healthcare seeking journey.
- 2024 – 2025: Research Assistant @ Gatech VisualizaXiong Lab
- Advised by Prof.Cindy Xiong Bearfield
- Conduct empirical studies to examine human perception towards approximated visualization.
- Explore the impact of dynamic visual cues in pursuit detection.
- Summer 2023: Research Assistant @ Cornell University CIS
- Advised by Prof. Jeff Rzeszotarski and Dr. Nathan Yan
- Built up novel tools with LLMs that could perform automatic data analysis and visualization.
- Designed and implemented user studies to examine the assistive performance of LLMs on data exploration.
- Constructed behavioral models for data exploration processes, and developed design prototypes.
- 2022 - 2023: Research Assistant @ PI Lab at Tsinghua University
- Advised by Prof. Yukang Yan
- Designed a user study and developed a Unity 3D-based study platform to conduct the experiment.
- Developed a computational model of user’s perception of inconsistency in User-Avatar movement in VR.
- Summer 2022: Research Assistant @ Tsinghua IE HCI Lab
- Advised by Prof. Pei-Luen Patrick Rau
- Performed an experiment design and implemented the study platform with robot NAO. And conducted a user study with EEG to collect sensing and survey data in credit assignment in HRI scenarios.
🏆 Awards
- Dora Zee Ling Endowed Fellowship in CSE, University of Washington, 2026
- Outstanding Undergraduate (Magna Cum Laude, Top 10%), Tsinghua University, 2024
- ”December 9th” Award (Top 2%), Tsinghua University, 2021
- Comprehensive Excellence Honor (Top 15%), Tsinghua University, 2023, 2022, 2021, 2020
⚙️ Skills
- Programming languages (Python, C etc.)
- Data analysis tools (R, SPSS etc.)
- Data Visualization (Tableau)
- Game engines (Unity)
- Database system (SQL)
- User-centered design (UCD)
- Experiment design
- Qualitative & quantitative research method
