Bachelor of Engineering - Robotics Engineering
Southern University of Science and Technology (SUSTech)
01.2027
Yang Zeyang
SHENZHEN
Education
Skills
- Programming: Python, C, ROS, MATLAB, JAVA PyTorch
- Sensor Integration: Depth cameras, eye-tracking systems
- Machine Learning: Deep learning, reinforcement learning, graph neural networks, tensor methods
- Domains: Robotic perception, 3D reconstruction, multimodal fusion, real-time systems
RESEARCH INTERESTS
Deep learning, computer vision, visual computing, 3D reconstruction, generative models, multimodal perception, robotic perception systems, and structured content generation.
RESEARCH MOTIVATION
I am particularly interested in the application of machine learning—especially tensor methods and multimodal learning—to improve the robustness of robotic perception and 3D content generation. For example, I aim to explore how low-rank tensor completion techniques (such as SiLRTC or FaLRTC) can be used to recover missing sensor data in real-world robotic systems affected by occlusions or hardware failures.
Timeline
Bachelor of Engineering - Robotics Engineering
Southern University of Science and Technology (SUSTech)
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