Ruyu Liu

Ruyu Liu is a Research Fellow at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). Their work bridges interdisciplinary research in Energy Economics and Climate Policy with cutting-edge advancements in Computer Science and Artificial Intelligence.

Research Interests:

• Knowledge Distillation
• Semantic Segmentation
• Point Cloud Upsampling
• Neural Network Optimization
• Machine Learning Applications
• Climate-Energy Economics

Recent Publications highlight trends in AI and computer vision, including:

• Development of novel knowledge distillation methods to address teacher bias in neural networks.
• Advancements in semi-supervised semantic segmentation using dual-branch architectures and self-matching strategies.
• Efficient algorithms for point cloud upsampling leveraging implicit neural representations and spatial hashing.
• Application of singular value decomposition (SVD) for feature extraction in distillation frameworks.