Joined Tsinghua University
I joined the Department of Computer Science and Technology at Tsinghua University.
lijiemingjimmy.github.io
I am Jieming Li, an undergraduate student in Computer Science and Technology at Tsinghua University. I currently conduct research with Prof. Mengdi Xu at the Institute for Interdisciplinary Information Sciences, focusing on world models and vision-language-action models.
My research explores how embodied agents can learn from experience, anticipate the consequences of their actions, and recover intelligently from failure. I am particularly interested in connecting generative world modeling with reliable robot decision-making.
EducationB.Eng. in Computer Science, Tsinghua University
Research groupIIIS · Prof. Mengdi Xu
Current focusWorld Models · VLA · Robot Learning
Also buildingAI systems for writing and education
Updates
I joined the Department of Computer Science and Technology at Tsinghua University.
Curriculum vitae
B.Eng. in Computer Science and Technology
Beijing, China
Undergraduate Researcher · Prof. Mengdi Xu's group
Researching world models and vision-language-action models for embodied agents, with particular interest in learning from interaction, failure-aware adaptation, and reliable robot decision-making.
Second author. Studying how VLA policies use multimodal failure context to improve subsequent attempts; accepted at the CVPR 2026 3D-LLM/VLA Workshop and submitted to EMNLP 2026.
An educational AI project for the Language Teaching Center at Tsinghua University, combining stateful diagnosis, course-grounded feedback, revision tracking, and anti-ghostwriting safeguards.
ResearchWorld models, VLA, robot learning, multimodal generation
EngineeringPython, TypeScript, React, FastAPI, research prototyping
Beyond the labBadminton, ultimate frisbee, distance running
Fun facts
The best ultimate player on the badminton team, the best runner on the ultimate team, and the best badminton player on the distance-running team.
羽毛球队里飞盘玩得最好的,飞盘队里长跑最好的,长跑队里羽毛球打得最好的。
Selected work
Research papers and systems, presented through the questions they ask and the things they make possible.
Writing archive
Research notes, engineering decisions, and reflections from building systems that think with people.