Juanxi Tian

PhD Student in AI
Nanyang Technological University

Efficient AI Generative AI Foundation Models World Models



About Me

Researcher & PhD Student

Juanxi Tian
Available for Research

Juanxi Tian 田隽熙

PhD Student in AI

Nanyang Technological University

Current Position

Research Intern
Shanghai AI Lab

Research Lab

Physical Vision Group

Juanxi Tian is an incoming PhD student at the Nanyang Technological University, Physical Vision Group (PVG), supervised by Dr. Chuanxia Zheng. Currently serving as a research intern at the Shanghai AI Lab, he graduated with a Bachelor's degree in Artificial Intelligence from Hong Kong Baptist University in 2025.

His research primarily focuses on Generative AI and Efficient AI (Optimization), with the goal of exploring Efficient and Scalable, Large-Scale (Vision-Centric) Multimodal Foundation Models → World Models. He has published papers at top-tier conferences such as NeurIPS, CVPR, and ACL, and serves as a reviewer for leading conferences and journals.

juanxitian1031 [at] gmail [dot] com

WeChat: Juanxi_Tian

Experience

Key milestones in my academic and professional journey

Jul 2025

Research Internship at Shanghai AI Lab

I am currently serving as a research intern at the Shanghai AI Lab, dedicated to researching various aspects of the Visual World Model. This exciting opportunity allows me to work on cutting-edge AI technologies and contribute to the development of next-generation foundation models.

Research World Models AI Lab
Jun 2025

Bachelor's Degree Completion

Successfully obtained an Honours Bachelor of Science degree in Artificial Intelligence from Hong Kong Baptist University. This milestone marks the completion of my undergraduate studies and the beginning of my PhD journey. Looking forward to the future!

Education HKBU AI Degree

Latest News

Recent updates, achievements, and announcements

I'm very happy to start my internship at the Shanghai AI Lab. The research topic is about Generative AI and Optimization.

Publications Top Venues Reviewer Research Community

Interested in Collaboration / Discussion?

I'm always open to discussing research opportunities, collaborations, and innovative projects in Efficient AI & Generative AI.