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.
Publications
Chi-Yao Huang, Khoa Vo, Aayush Verma, Duo Lu, Yezhou Yang
Proceedings of the International Conference on Learning Representations (ICLR), 2026
Project Page / Paper / Video /
@InProceedings{Huang2026DE,
author = {Chi-Yao Huang and Khoa Vo and Aayush Verma and Duo Lu and Yezhou Yang},
title = {Domain Expansion: A Latent Space Construction Framework for Multi-Task Learning},
booktitle = {Proceedings of the International Conference on Learning Representations (ICLR)},
year = {2026},
}
Chi-Yao Huang, Zeel Bhatt, Yezhou Yang
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2026
Project Page / Paper / Video /
@InProceedings{Huang2026VOCAL,
author = {Chi-Yao Huang and Zeel Bhatt and Yezhou Yang},
title = {VOCAL: Visual Odometry via ContrAstive Learning},
booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},
year = {2026},
}Products
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.
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.
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).
