Research 🔬

My research spans across algorithm and hardware. I'm interested in AR/VR Graphics, Hardware Architecture, Imaging System, and AI (e.g. Embodied Intelligence, Generative AI).

Click on each area below to expand details and related publications.

AR/VR Neural Rendering and Hardware Acceleration

Developing neural rendering algorithms for AR/VR systems and designing corresponding hardware accelerators. This includes real-time Gaussian splatting on mobile devices, foveated rendering pipelines, display-rendering power co-optimization, and streaming architectures for neural rendering.

3D Gaussian Splatting Foveated Rendering XR Systems Hardware Accelerator Neural Rendering
Related Publications

Imaging System Design

Designing sensors and optics for imaging systems, along with co-optimized downstream vision models. This involves in-sensor compression inspired by efficient coding theory, and privacy-preserving optical feature separation.

In-Sensor Computing Computational Imaging Privacy-Preserving Edge Vision
Related Publications

Robotics and Embodied Intelligence

Exploring robot perception and learning for autonomous systems, including open-world 3D object detection, sensorimotor coordination, and navigation skill acquisition from demonstrations.

Embodied AI 3D Object Detection Robot Learning Autonomous Driving
Related Publications
[IROS 2024] OW3Det: Toward Open-World 3D Object Detection for Autonomous Driving [ROMAN 2023] Learning Clear Class Separation for Open-set 3D Detector in Autonomous Vehicle via Selective Forgetting [PKU ASN 2023] A Review of Robot Learning [ICDL 2021] Approaching Sound Object with Sensorimotor Coordination when Sensors Partially Damaged [ICDL 2021] Acquiring Robot Navigation Skill with Knowledge Learned from Demonstration