CV
{YishuJI’s CV} Download the pdf version here.
📚 Education
- Ph.D. in Human-Centered Computing, Georgia Tech, 2029(expected)
- B.Eng. in Industrial Engineering, Tsinghua University, 2024
- Minor in Psychology, Tsinghua University, 2024
- Exchange program in Information Science, Cornell University, Spring 2023
🧐 Research experience
- Summer 2023: Research Assistant @ Cornell University CIS
- Advised by Prof. Jeff Rzeszotarski
- 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.
- Advised by Prof. Jeff Rzeszotarski
- 2022 - 2023: Research Assistant @ PI Lab at Tsinghua University
- Advised by Prof. Yukang Yan and Prof. Yuanchun Shi
- Developed a computational model of user’s perception of inconsistency in User-Avatar movement in VR.
- Designed a user study and developed a Unity 3D-based study platform to conduct the experiment.
- Performed statistic analysis of the experimental data to yield insights.
- Advised by Prof. Yukang Yan and Prof. Yuanchun Shi
📑 Publications
- 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
- 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 submission to: The 2025 CHI Conference on Human Factors in Computing Systems)
🏆 Awards
- Tsinghua University ”December 9th” Award (the highest scholarship for Tsinghua sophomores), 2021
- Tsinghua Comprehensive Excellence Honor, 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