Introduction
黄虎，博士毕业于中国科学技术大学网络空间安全专业，现任中国科学技术大学网络空间安全学院副研究员，广东省公共服务供给重点实验室执行主任，并担任中国中文信息学会社会媒体处理专委会委员等学术兼职。曾担任纵横集团总裁、中电科智慧城市建模仿真与智能技术重点实验室副主任等职务。长期从事认知计算与社会智能领域的科研与产业转化工作。其中：以责任作者在国内外顶级期刊或会议上发表论文20余篇，包括 IJCAI、AAAI、ACM MM、IEEE-TCSS、IEEE-TVT、ACM-TIST、ACM-TLLIP、KBS 等；近5年申请人以项目或课题（任务）负责人，承担科技部重点研发计划项目3项，所形成研究成果多次在中宣部、国家卫健委、中央网信办等国家部委部署应用；在疫情期间，因大数据智能建模与演化预测工作，曾获得2020 年度深圳市先进集体(R1)、2020年度全国抗击新冠肺炎疫情先进集体(主要成员)等国家、省市表彰。在产业界工作期间，主导研发的数据智能产品已累积合同额超5亿元。
Dr. Hu Huang is an Associate Researcher at the School of Cyber Science and Technology, University of Science and Technology of China (USTC), where he earned his Ph.D. in School of Cyber Science and Technology. He currently serves as Executive Director of the Guangdong Provincial Key Laboratory of Intelligent Computing for Public Service Supply and holds academic appointments including Committee Member of the Social Media Processing Committee at the Chinese Information Processing Society of China. With extensive cross-sector experience, Dr. Huang previously held executive roles as President of Zongheng Group and Deputy Director of the Smart City Modeling & Intelligent Technology Key Laboratory at China Electronics Technology Group Corporation (CETC). His research focuses on cognitive computing and social intelligence, bridging academic innovation with industrial applications. As corresponding author, he has published over 20 papers in premier venues including IJCAI, AAAI, ACM MM, IEEE-TCSS, and ACM-TIST. Over the past five years, he has led three National Key R&D Programs under China’s Ministry of Science and Technology, with implemented outcomes adopted by national agencies including the Publicity Department of the CPC Central Committee and the National Health Commission. His COVID-19 predictive modeling work earned team honors including Shenzhen’s 2020 Outstanding Collective Award (Rank 1) and the National Advanced Group in Pandemic Prevention (as key contributor). In industry practice, Dr. Huang has directed the development of data intelligence solutions generating cumulative contract values exceeding 500 million CNY. His work continues to advance intelligent decision-making systems for government and enterprise applications.
research Interests
• Social Computing
• Cognitive Computing
• Social Intelligence
Education
• Ph.D., 中国科学技术大学，University of Science and Technology of China
• M.Sc., 北京大学，Peking University
• B.Engr., 华中科技大学，Huazhong University of Science and Technology
Main Scientific Research Activities
• [1] 科技部国家重点研发计划，“中塔同气候区重点农作物智能估产关键技术研究”项目，2025-03至2027-03，项目负责人
• [2] 科技部国家重点研发计划，“人机物三元空间数据协同寄递揽收风险识别与预警关键技术”项目，“针对多元非完备数据异常寄递行为精准识别技术”课题，2025-01至2027-12，课题负责人
• [3] 中国科学院计算所开放创新课题，“数实融合的细粒度区域立场态势感知方法”，2025-01至2025-12，项目负责人
• [4] 科技部国家重点研发计划，“国家疫情防控发现、研判、预警三位一体平台关键技术研究与应用”项目，“居家健康监测数据融合可信共享模型研究”任务，2021-11至2023-10，课题（任务）负责人
• [5] 科技部国家重点研发计划，“智慧城市网络信息安全综合免疫关键技术与应用示范”项目，“关键技术仿真验证与应用示范”课题，2019-12至2023-11，课题主管
• [6] 科技部国家重点研发计划，“城市空间采集、建模与虚实融合动态仿真系统”项目，“城市空间虚实融合动态仿真系统及其应用示范”课题，2019-07至2022-06，课题主管
Recent Papers
• [1] Bowen Zhang, Zhichao Huang, Guangning Xu, Xiaomao Fan, Mingyan Xiao, Genan Dai, Hu Huang*. Core Knowledge Learning Framework for Graph. The 39th Annual AAAI Conference on Artificial Intelligence(AAAI 2025).
• [2] Genan Dai, Weiyang Kong, Yubao Liu, Bowen Zhang, Xiaojiang Peng, Xiaomao Fan, Hu Huang*. “Tucker Decomposition-Enhanced Dynamic Graph Convolutional Networks for Crowd Flows Prediction.” ACM Transactions on Intelligent Systems and Technology(2024).
• [3] Fuqiang Niu, Zebang Cheng, Xianghua Fu, Xiaojiang Peng, Genan Dai, Yin Chen, Hu Huang*, and Bowen Zhang*. “Multimodal Multi-turn Conversation Stance Detection: A Challenge Dataset and Effective Model.” In Proceedings of the 32nd ACM International Conference on Multimedia(ACM MM 2024), pp. 3867-3876. 2024.
• [4] Sicheng Zhao, Hui Chen, Hu Huang*, Pengfei Xu, Guiguang Ding. “ More is Better: Deep Domain Adaptation with Multiple Sources.” Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI-24).
• [5] Bowen Zhang, Daijun Ding, Zhichao Huang, Ang Li, Yangyang Li, Baoquan Zhang, Hu Huang*. “Knowledge-Augmented Interpretable Network for Zero-Shot Stance Detection on Social Media.” IEEE Transactions on Computational Social Systems（2024）.
• [6] 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.
• [7] 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.
• [8] Honglei Jin, Zhe Li, Hao Cheng, Yili Xia, and Hu Huang*. “Sum-Rate Maximization for Uplink Multi-User NOMA with Improper Gaussian Signaling: A Deep Reinforcement Learning Approach.” IEEE Transactions on Vehicular Technology (2025).
• [9] Bowen Zhang, 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.
• [10] Dai, Genan, Jiayu Liao, Sicheng Zhao, Xianghua Fu, Xiaojiang Peng, Hu Huang, and Bowen Zhang. “Large Language Model Enhanced Logic Tensor Network for Stance Detection.” Neural Networks 183 (2025): 106956.