In 2012, he received a B.S. degree in Optoelectronic Information from Fujian Normal University Minnan Institute of Science and Technology in China, under the supervision of Prof. Wenqin Yang. In 2016, he received a M.S. degree in Optics from Fujian Normal University in China, under the supervision of Prof. Zhiyun Huang. In 2023, he received a Ph.D. degree in Computer Science and Information Engineering from National Cheng Kung University in China, under the supervision of Prof. Pei-Hsuan Tsai and Prof. Meng-Hsun Tsai.

（他于2012年从福建师范大学闽南科技学院, 光信息科学与技术专业, 获得理学学士学位，导师杨文琴教授。2016年从福建师范大学, 光学专业, 获得理学硕士学位，导师黄志云教授。2023年6月从台湾成功大学，资讯工程学系获得工学博士学位，导师蔡佩璇教授和蔡孟勋教授）。

In September 2016, he joined Prof. Peng Jin’s laboratory at Shenzhen Graduate School, Peking University（PKU）as a research assistant, mainly conducting research on concentrating photovoltaics and photobiology. In March 2019, he joined Dr. Jianping Li’s research group at the Center of Opto-Electronic Engineering and Technology, Shenzhen Institute of Advanced Technology（SIAT）, Chinese Academy of Sciences（CAS）, as an assistant engineer, mainly conducting research on Ocean Optical Instruments.

（2016年9月作为研究助理加入北京大学深圳研究生院，金鹏教授实验室，主要进行聚光光伏、光生物方面的研究。2019年3月作为助理工程师加入中国科学院深圳先进技术研究院，集成所，光电工程技术中心，李剑平博士课题组，主要进行海洋光电检测仪器方面的研究。）

He has taken part in 1 major instrument special project of the Ministry of Science and Technology, 3 projects of Shenzhen Science and Technology Innovation Committee, 1 project of Taiwan Industrial Technology Research Institute and 1 project of Taiwan Ministry of Science and Technology. The publishing of 5 journal papers and 4 international conference paper, including 4 SCI papers, 4 EI paper, and 1 Chinese core paper, as well as participation in the production of the book "Introduction to Green Lighting Technology". Apply for 6 invention patents and 5 utility model patents, of which 2 invention patents and 5 utility model patents granted. He won the 2019 National Cheng Kung University Outstanding Mainland Students Scholarship and the 2021, 2022 National Cheng Kung University Himalayan Research and Development Foundation Mainland Students Scholarship.

（先后参与科技部重大仪器专项项目1项、深圳市科创委项目3项、台湾工业技术研究院项目1项和台湾科技部项目1项。科研成果包括发表期刊论文6篇和国际会议论文5篇，其中SCI 4篇，EI 4篇，中文核心1篇，参与《绿色照明技术导论》书籍编写。申请6个发明专利和5个实用新型专利，其中授权2个发明和5个实新专利。他获得了2019年国立成功大学优秀大陆学生奖学金和2021年, 2022年国立成功大学喜马拉雅研究发展基金大陆学生奖学金。）

Research areas include Graph Neural Networks (GNN), Computer Vision, Video Understanding, Multi-modal Feature Fusion, Graph for Science, Machine Learning, Deep Learning, Deep Reinforcement Learning, Optics, Electronics, and Content-Centric Networks. His current main research interests are Scene Graphs, Knowledge Graphs, Visual Generative Models, Cross-modal Learning, Image Denoising, and Image Super-resolution..

（研究领域包括图神经网络、计算机视觉、视频理解、多模态特征融合、Graph for Science、机器学习、深度学习、深度强化学习、光学、电子和内容中心网络。当前的主要研究兴趣是场景图、知识图谱、视觉生成模型、跨模态学习、图像去噪、图像超分。）