Yiran Zhang

I am currently a second-year Ph.D. in Computer Science at Purdue University under the supervision of Dr. Aniket Bera. Before this, I was graduated at Northwestern University with a CS Master Degree and was fortunate to work with Dr. Emma Alexander, Dr. Diego Klabjan, and Dr. Ian Horswill. I also received my B.S. in Computer Science and B.A. in Visual Fine Art double degrees from Union College. My research passion lies in utilizing different learning techniques to create innovative solutions for computer graphics, VR/AR, and locomotion problems.

Email  /  CV  /  Scholar  /  Twitter  /  Github

An LLM-based audio-guided navigation agent that uses affective cues in spoken communication—elements to assess the trustworthiness of human commands.

A novel high-compatible virtual scene generation approach based on advanced compatibility metrics: Physical Reachable of Empty Space Incompatibility (PRESI).

We propose a physics-inspired technique that introduces a new Neural Field model based on Kernel Integral Transform, which was proposed as the mathematical backbone of geometry-informed neural operator and reduced-order modeling.

We introduce a interactive path planner that track the user state to predict their next destination, and pre-determine a collision-free path through shape similarity.

Teaching and Mentoring

This website template is from Dr. Jon Barron. Thanks for his open-source spirit.