Introduction
I am Huang Hu, a Doctor of Engineering in Cyberspace Security, Senior Engineer. Now I am a Associate Researcher Fellow at Peking University Shenzhen Graduate School, Executive Director of the Guangdong Provincial Key Laboratory of Intelligent Computing for Public Service Supply, and Member of the Social Media Processing Expert Committee of the Chinese Information Society.
research Interests
• Social Computing
• Cyberspace Science and Technology
• Urban Cognition
Education
•Ph.D., Cyberspace Security, University of Science and Technology of China
•M.Sc., Geography, Peking University
• B.Engr., Urban Planning, Huazhong University of Science and Technology
Main Scientific Research Activities
• National Ministry of Science and Technology, National Key R&D Plan, 2022YFC0869800, “Research and Application of Key Technologies for National Epidemic Prevention and Control Trinitarian Platform of Discovery, Research and Early Warning” Project, “Research on Trusted Sharing Model for Home Health Monitoring Data Integration” Task, 2021 to 2023
• National Ministry of Science and Technology, National Key R&D Plan, 2019YFB2101705, “Smart City Network Information Security Comprehensive Immunity Key Technologies and Application Demonstration” Project Topic 5 “Key Technology Simulation Verification and Application Demonstration”, 2019 to 2023
• National Ministry of Science and Technology, National Key R&D Program, 2018YFB2100604, “Urban Space Acquisition, Modeling and Virtual-Real Integration Dynamic Simulation System” Project Topic 4 “Urban Space Virtual-Real Integration Dynamic Simulation System and its Application Demonstration”, 2019 to 2022
• Shenzhen Science and Technology Innovation Commission, Science and Technology Planning Project, KJYY20170724141920841, Smart Transportation Four-Dimensional Monitoring and Analysis Platform, 2018 to 2020
Recent Papers
• Hu Huang, Bowen Zhang, Liwen Jing, Xianghua Fu, Xiaojun Chen, and Jianyang Shi. “Logic tensor network with massive learned knowledge for aspect-based sentiment analysis.” Knowledge-Based Systems 257 (2022): 109943.
• Hu Huang, Bowen Zhang, Yangyang Li, Baoquan Zhang, Yuxi Sun, Chuyao Luo, and Cheng Peng. “Knowledge-enhanced Prompt-tuning for Stance Detection.” ACM Transactions on Asian and Low-Resource Language Information Processing 22, no. 6 (2023): 1-20.
• Zhang, Bowen, Xu Huang, Zhichao Huang, Hu Huang, Baoquan Zhang, Xianghua Fu, and Liwen Jing. “Sentiment interpretable logic tensor network for aspect-term sentiment analysis.” In Proceedings of the 29th International Conference on Computational Linguistics, pp. 6705-6714. 2022.
• Chen Y, Li X, Liu X, H Huang, S Ma. Simulating urban growth boundaries using a patch-based cellular automaton with economic and ecological constraints[J]. International Journal of Geographical Information Science, 2019, 33(1): 55-80.
Authorized Invention Patent
• Huang Hu et al. A guided talent policy welfare calculation method and device, 2023-8-04, China, ZL202011318384.2
• Huang Hu et al. Methods, devices, electronic equipment and media for identifying high-risk communities for urban infectious diseases, 2021-4-23, China, ZL202011321234.8
• Huang Hu et al. Road flooding risk prediction methods, devices, equipment and storage media, 2020-11-10, China, ZL202010408252.3
• Huang Hu et al. A recommended method and device for parking lots, 2021-4-23 China, ZL202011295176.6
• Wu Guangzhou; Hu Jinhui; Huang Hu et al. An assessment method for the impact of rainfall on urban road traffic, 2021-10-22, China, ZL201811363769.4
• Wu Yunyang; Huang Hu et al. Link prediction method based on common neighbor node resource allocation and Naive Bayes, 2021-5-28, China, ZL201810805806.6
• Wu Yunyang; Huang Hu et al. Link prediction method based on multi-stage path intermediate node resource allocation, 2021-1-15, China, ZL201810805798.5
Academic Part-Time
• A member of the Social Media Processing Committee, Chinese Information Society
• A expert member of Beijing Community Research Center
• A consultant expert of National Technical Committee for Standardization of Natural Resources and Land Spatial Planning TC93/SC4