ChangTai Zhou

project 211 and 985

The State Key Laboratory of Virtual Reality Technology and Systems

GPA : 3.70/4.00 - 88.67/100

project 211

GPA : 2.70/4.0 - 75/100

1. Responsible for developing a real-time indoor reconstruction applicationon on mobile platforms, implementing algorithms based on Elastic Fusion and algorithm optimization based on GPU.

1. Generated synthetic data for deep learning applications by utilizing game engines, focusing on large-scale scenes and including color, normal maps, and depth images.
2. Developed virtual character pose-driven functionality based on model predictions and FK(inverse kinematics), responsible for enhancing rendering effects and improving performance.

1. Responsible for maintenance and development of game engines.
2. Assisted in the development and optimization of graphical rendering features, collaborating with the Technical Artists (TA).
3. Optimized performance of mobile games, focusing on GPU-bandwidth, memory usage and frame rendering time.

• Proposed and implemented a Low learning cost interaction method based on gesture analysis and ray casting to facilitate large area interaction(6Fod control) in MR environments, based on Hololens2 and Unreal4.

• Ported real-time Global Illumination (GI) functionality from UE4 PC version to mobile platforms based on UE4.
• Optimized algorithm computation time, including frame partitioning, algorithm simplification, and data structure optimization.
• Enhanced algorithm performance, including mitigating spherical harmonic ringing artifacts.
• Conducted hardware adaptation for seamless integration.

• Implemented real-time ASTC texture compression for mobile platforms to reduce memory footprint of high-resolution textures (RVT) during runtime usage based on UE4.
• Developed multi-mode ASTC compression (4x4, 6x6, rgb+a).
• Conducted optimization tailored for mobile platforms.

Integrated human motion capture equipment(NOITOM PN) and Prepar3D(visual simulation platform for fly) for creating environments that offer a more realistic driving experience based on VR device(HTC Vive).

• Deal motion data and re-direct into virtual environments, enabling users to directly manipulate virtual panels with their hands.