The University of Hong Kong

Master of Science in Artificial Intelligence

Core coursework: Deep Learning, Natural Language Processing, Computer Vision, and AI Ethics.

Sun Yat-sen University

Bachelor of Traffic Engineering

GPA: 3.6/4.0. Relevant coursework: Computer Vision, Image Processing, Deep Learning, Data Structures and Algorithms, and Machine Learning.

The Hong Kong University of Science and Technology (Guangzhou)

Research Assistant, Transportation Thrust

• Conducting research on intelligent transportation systems, with a focus on reasoning for autonomous driving and multimodal scene understanding.
• Exploring vision-language models and spatio-temporal reasoning for safety-critical traffic scenarios.

Sony Research

Research Intern, MLLM & Generative AI Team

• Conducted research on fine-grained matching for anime characters using multimodal large language models to improve cross-modal alignment.
• Built a RAG-based knowledge base for anime IP to mitigate hallucination in multimodal retrieval and reasoning.
• Designed an AI-agent workflow for intelligent IP retrieval, supporting the pipeline from natural language queries to precise character localization.

GAC R&D Center

Embodied AI Intern, Vision & Perception Group

• Developed an open-vocabulary detection system for robotic platforms leveraging vision-language models.
• Performed hand-eye calibration and robotic-arm joint debugging to improve spatial coordinate transformation.
• Collaborated on real-vehicle sensor fusion to reduce visual perception drift under complex lighting conditions.

LiDAR-Vision Fusion BEV State Prediction System

Principal Researcher

Developed a multi-modal state prediction system integrating LiDAR point clouds and camera images to generate bird's-eye view representations for real-time scene understanding and dynamic agent behavior prediction. The project was recognized as a national-level innovation project with excellent final results and produced an invention patent.

ROS-based Autonomous Smart Vehicle Development

Lead Developer

Led the development of an autonomous smart vehicle system using ROS, covering visual perception, SLAM-based navigation, and tracking and control. The project received university-level recognition and won first prize in the South China regional competition and second prize in the national final of the 18th National College Student Smart Car Competition.