About me

I am currently a Ph.D. student at the University of Toyama, under the supervision of Prof. Chao Zhang. My primary research focuses on 3D skeleton-based action recognition, with a specific emphasis on dataset distillation to optimize training efficiency for general downstream tasks. Recently, I have extended my research into fine-grained emotion recognition, leveraging skeleton sequences to distinguish complex social emotions through advanced deep learning architectures.

Prior to my doctoral studies, I spent three years as a Master’s student at the National Agricultural Science Data Center (NASDC) of the Chinese Academy of Agricultural Sciences. During this period, my work centered on the processing, mining, and application of complex agricultural big data. I focused on enhancing data utilization rates by integrating computer science techniques—such as Large Language Models (LLMs) and Knowledge Graphs—into the agricultural domain. My experience involved developing automated systems for information extraction and decision support, aiming to bridge the gap between massive raw data and practical agricultural insights.

Research interest

• Dataset Distillation
• Emotion Recognition
• Computer Vision
• AI-driven Agricultural Informatics

News

• 2026/06/20 - Our paper received the Short Paper Award at NICOGRAPH International 2026.