Summary
Guang-neng Hu is a Huashan Elite Professor and associate professor at Xidian University with a decade of experience in multimodal AI, specializing in visual-language models, large language models, knowledge graphs, and graph neural networks. He blends deep transfer learning and NLP expertise with practical work on recommender systems, bridging research and applied systems for information-rich domains. His PhD from HKUST and early roles as TA and conference session chair reflect strong academic rigor and community leadership, including serving as AAAI workflow chair. Based in Xi'an, he has a track record of industry-facing research from internships at Tencent and Memect, indicating an ability to translate advanced models into real-world analytics and ad/financial applications.
10 years of coding experience
贵阳一中, 贵阳一中 at No.1 High School of Guiyang
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Nanjing University
赤水九中, 赤水九中 at Chishui No. 9 Middle School
Hong Kong University of Science and Technology (HKUST)
English, Chinese