Chi-Yao Huang


Hello and welcome to my place. I'm Chi-Yao Huang.

I am currently pursuing my Ph.D. under the guidance of Professor Yezhou Yang at the School of Computing and Augmented Intelligence (SCAI), Arizona State University. Prior to joining ASU, I served as a pioneering VR/AR engineer at VIVE (now part of Google), where I developed innovative tracking technologies that power nearly all VIVE products. I also hold a master's degree in Mechanical Engineering from National Taiwan University.

My research aims to develop a foundation model for spatial intelligence. I am focused on creating a latent-centric framework that unifies 3D geometry, semantics, and temporal dynamics, bridging the gap between classical VO/SLAM and the generative, queryable capabilities of modern large-scale models.

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Profile picture

Publications

Project image
VOCAL: Visual Odometry via ContrAstive Learning
Chi-Yao Huang, Zeel Bhatt, Yezhou Yang
arXiv preprint arXiv:2507.00243, 2025
Project Page / Paper / Video /
@InProceedings{Huang2025VOCAL, 
	author = {Chi-Yao Huang and Zeel Bhatt and Yezhou Yang}, 
	title = {VOCAL: Visual Odometry via ContrAstive Learning}, 
	booktitle = {arXiv preprint arXiv:2507.00243}, 
	year = {2025}, 
}

Products

VIVE Focus 3 image
VIVE Focus 3

Enterprise-grade mixed reality headset with high-resolution displays and ergonomic comfort.

  • Developed the visual–inertial SLAM system for inside-out tracking.
  • Designed multiple-camera motion estimation and sensor fusion algorithms.
  • Collaborated with UX teams to optimize tracking for dynamic environments.
VIVE XR Elite image
VIVE XR Elite

Lightweight, modular XR headset built for immersive mixed reality experiences.

  • Implemented visual–inertial odometry algorithms optimized for low-latency XR.
  • Designed and prototyped the core data structures and processing pipeline for a mixed-reality system.
  • Engineered an obstacle avoidance system to enhance user safety in mixed-reality environments.
VIVE Flow image
VIVE Flow

Compact, glasses-style VR headset designed for wellness, streaming, and portability.

  • Designed the inside-out tracking algorithm for limited-FoV sensors.
  • Developed a prototype motion tracking pipeline integrating a real-time hand-tracking system.
  • Collaborated with optics and gaming teams to tune and optimize on-device performance.

Sponsors & Funding

Chi-Yao is supported by the ASU Ira A. Fulton Schools of Engineering Fellowship and Toyota Research Institute of North America (TRINA).

ASU Fulton Fellowship
TRINA