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    黄琼浩

    • 副教授
    • 曾获荣誉 : 第九届高等学校科学研究优秀成果奖(人文社会科学) ,一等奖; 第二十五届中国专利奖,优秀奖; 广东省哲学社会科学优秀成果奖,特等奖; 浙江省教育科学研究优秀成果奖,二等奖; 广东省优秀毕业生; “成泰共好”奖教基金青年教师奖
    • 性别 : 男
    • 毕业院校 : 华南师范大学
    • 学历 : 博士研究生毕业
    • 学位 : 博士学位
    • 在职信息 : 在岗
    • 所在单位 : 教育学院
    • 入职时间 : 2021-08-02
    • 办公地点 : 浙江师范大学全省智能教育技术与应用实验室17幢101室
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    个人简介

    黄琼浩,副教授,目前担任《PLOS One》(中科院SCI三区,JCR Q1)和《江苏大学学报》(北大核心,Scopus Indexed)等国内外多个期刊副主编或青年/编委,Sustainability (SCI&SSCI, 中科院SCI三区) Leading Guest Editor,国家自然科学基金项目通讯评审专家。长期从事教育理论与实证、教育与人工智能融合、人工智能算法与应用等研究,目前已在国内外信息科学权威/SCI 中科院一区/SSCI/CSSCI,如IEEE Transaction on Knowledge and Data Engineering、IEEE Transactions on Cybernetics、IEEE Transactions on Neural Networks and Learning Systems、IEEE Transactions on Industrial Informatics、ACM Transactions on Multimedia Computing, Communications, and Applications、Information Fusion、Information Sciences、Pattern Recognition、AAAI、APWEB等期刊或会议发表论文30余篇,1篇ESI高被引论文。知识产权面,己合作申请发明专利30余项,获软件著作权3项。主持国家重点研发计划子课题、国家自然科学青年基金、浙江省自然科学面上基金等项目6项,作为主要成员参与国家重点及省部级重大课题数项。获中国专利优秀奖、教育部和广东省哲学社会科学优秀成果奖等奖励。 


    工作经历

    (1) 2024.01 至今,  浙江师范大学副教授

    (2) 2021.08 至 2023.12浙江师范大学校聘副教授


    研究方向

    研究有三大方向,教育理论与实证研究,教育与人工智能融合研究,人工智能算法与应用研究。

    欢迎踏实认真,有较强的自主学习和自我发展动机学生加入,组里提供丰厚科研奖励、研究经费、固定实验室座位和设备仪器;并向优秀学生提供助研岗位津贴、国内参会经费、海内外读博推荐等可持续性发展支持;各个研究方向拥有导师、博士后、博士生完整学术支持体系。联系方式:qhhuang@zjnu.edu.cn


    部分学术论文

    #教育理论与实证研究

    [1] He, Tao, Qionghao Huang, Xiaofeng Yu, and Shihua Li. "Exploring students’ digital informal learning: the roles of digital competence and DTPB factors." Behaviour & Information Technology 40, no. 13 (2021): 1406-1416. (SSCI,Q1)

    [2] Yaxin Tu, Changqin Huang, Qiyun Wang, Yougen Zhou, Zhongmei Han, Qionghao Huang. Predicting student burnout in blended environments: A complementary PLS-SEM and machine learning approach.  Interactive Learning Environments. DOI:10.1080/10494820.2024.2415446. Oct. 2024. (SSCI, Q1)

    [3] Han, Zhongmei, Changqin Huang, Qionghao Huang, and Jianhui Yu. "Sentiment evolutions in blended learning contexts: Investigating dynamic interactions using simulation investigation for empirical social network analysis." In Blended Learning. Education in a Smart Learning Environment: 13th International Conference, ICBL 2020, Bangkok, Thailand, August 24–27, 2020, Proceedings 13, pp. 249-263. Springer International Publishing, 2020. (EI indexed)

    [4] Han, Zhongmei, Jiyi Wu, Changqin Huang*, Qionghao Huang, and Meihua Zhao. "A review on sentiment discovery and analysis of educational big‐data." Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10, no. 1 (2020): e1328. (SSCI, Q1)

    [5] 黄昌勤,朱宁,黄琼浩等.支持个性化学习的行为大数据可视化研究.开放教育研究, 25(02): 53-64,2019.4. (CSSCI)

    [6] 王希哲,涂雅欣,张琳捷,黄琼浩. 认知负荷视角下在线协作学习的增效机制研究.电化教育研究, 2022, 43(09): 4552+72. (CSSCI)


    #教育与人工智能融合研究

    [1] Huang, Chang-Qin, Qiong-Hao Huang*, Xiaodi Huang, Hua Wang, Ming Li, Kwei-Jay Lin, and Yi Chang. "XKT: Towards Explainable Knowledge Tracing Model With Cognitive Learning Theories for Questions of Multiple Knowledge Concepts." IEEE Transactions on Knowledge and Data Engineering (2024), DOI: 10.1109/TKDE.2024.3418098. (SCI&EI, IF:8.9, CCF A, 中科院一区)

    [2] Huang, Qionghao*, and Jili Chen. Enhancing Academic Performance Prediction with Temporal Graph Networks for Massive Open Online Courses.  Journal of Big Data (2024): 1-18. (SCI/EI, 中科院二区)

    [3] Huang, Changqin, Hangjie Wei, Qionghao Huang*, Fan Jiang, Zhongmei Han*, and Xiaodi Huang. "Learning consistent representations with temporal and causal enhancement for knowledge tracing." Expert Systems with Applications 245 (2024): 123128.(SCI/EI,中科院一区)

    [4] Huang, Qionghao*, and Yan Zeng. "Improving academic performance predictions with dual graph neural networks." Complex & Intelligent Systems (2024): 1-19. (SCI/EI, 中科院三区)

    [5] Chen, Yixuan, Shuang Wang, Fan Jiang, Yaxin Tu, and Qionghao Huang*. "DCKT: a novel dual-centric learning model for knowledge tracing." Sustainability 14, no. 23 (2022): 16307. (SSCI, Q1)

    [6] Wang, Xizhe, Pengze Wu*, Guang Liu, Qionghao Huang, Xiaoling Hu, and Haijiao Xu. "Learning performance prediction via convolutional GRU and explainable neural networks in e-learning environments." Computing 101 (2019): 587-604. (SCI/EI,中科院三区)

    [7] Han, Zhongmei, Qionghao Huang, Jie Zhang, Changqin Huang, Huijin Wang*, and Xiaodi Huang. "GA-GWNN: Detecting anomalies of online learners by granular computing and graph wavelet convolutional neural network." Applied Intelligence 52, no. 11 (2022): 13162-13183.  (SCI/EI, 中科院二区)

    [8] Hu, Qintai*, Zhongmei Han, Xiaofan Lin, Qionghao Huang, and Xiaomei Zhang. "Learning peer recommendation using attention-driven CNN with interaction tripartite graph." Information Sciences 479 (2019): 231-249. (SCI/EI,  中科院一区)


    #人工智能算法与应用研究

    [1] Huang, Qionghao, Changqin Huang*, Xizhe Wang, and Fan Jiang. "Facial expression recognition with grid-wise attention and visual transformer". Information Sciences 580 (2021): 35-54. (SCI/EI,中科院一区)

    [2] Huang, Qionghao, Changqin Huang*, Jin Huang, and Hamido Fujita. "Adaptive resource prefetching with spatial–temporal and topic information for educational cloud storage systems." Knowledge-Based Systems 181 (2019): 104791. (SCI/EI, 中科院一区)

    [3] Huang, Qionghao, Fan Jiang, and Changqin Huang. "Remote sensing scene classification with relation-aware dynamic graph neural networks." Engineering Applications of Artificial Intelligence 150 (2025): 110513.(SCI/EI, 中科院一区)

    [4] Wu, Xuemei, Jie He, Qionghao Huang*, Changqin Huang*, Jia Zhu, Xiaodi Huang, and Hamido Fujita. "FER-CHC: Facial expression recognition with cross-hierarchy contrast." Applied Soft Computing 145 (2023): 110530.(SCI/EI,中科院一区)

    [5] Changqin Huang, Qionghao Huang, Dianhui Wang*. "Stochastic configuration networks based adaptive storage replica management for power big data processing." IEEE Transactions on Industrial Informatics 16, no. 1 (2019): 373-383. (SCI/EI,中科院一区)

    [6] Huang Qionghao,Jili Chen, Changqin Huang*, Xiaodi Huang, and Yi Wang. "Text-centered Cross-sample Fusion Network for Multimodal Sentiment Analysis",Multimedia Systems (2024),  (SCI/EI,中科院三区)

    [7] Changqin Huang, Jili Chen, Qionghao Huang*, Shijin Wang, Xiaod Huang"AtCAF: Attention-based causality-aware fusion network for multimodal sentiment analysis" , Information Fusion (2024),  (SCI/EI,中科院一区)

    [8] Huang, Qionghao, and Jili Chen. "xLSTM-FER: Enhancing Student Expression Recognition with Extended Vision Long Short-Term Memory Network." In Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data, pp. 249-259. Singapore: Springer Nature Singapore, 2024. (EI Indexed)

    [9] Chang-Qin Huang*, Fan Jiang, Qiong-Hao Huang, Xi-Zhe Wang. "Dual Graph Attention Convolution Network for 3D Point Cloud Classification".  IEEE Transactions on Neural Networks and Learning Systems, Apr. 2022 (SCI&EI , 中科院一区,ESI高被引)

    [10] Huang, Changqin, Zhenheng Lin, Zhongmei Han, Qionghao Huang*, Fan Jiang, and Xiaodi Huang. "PAMoE-MSA: polarity-aware mixture of experts network for multimodal sentiment analysis." International Journal of Multimedia Information Retrieval 14, no. 1 (2025): 1-16.   (SCI/EI,中科院四区)

    [11] Wang, Yi, Changqin Huang*, Ming Li, Qionghao Huang, Xuemei Wu, and Jia Wu. "AG-Meta: Adaptive graph meta-learning via representation consistency over local subgraphs." Pattern Recognition (2024): 110387.SCI/EI,中科院一区)

    [12] Huang, Chang-Qin, Ji-Kai Chen, Yan Pan, Han-Jiang Lai, Jian Yin, and Qiong-Hao Huang. "Clothing landmark detection using deep networks with prior of key point associations." IEEE Transactions on Cybernetics 49, no. 10 (2018): 3744-3754. (SCI/EI,中科院一区)

    [13] Tingyi Cai, Yunliang Jiang, Ming Li, Changqin Huang, Yi Wang, Qionghao HuangML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection,  In Proc. of the 39th AAAI Conf. on Artificial Intelligence (AAAI'25), Philadelphia, USA, Feg. 25-March 4, 2025 (CCF A类)



    主持项目

    [1] 国家自然科学基金青年项目,2023.01-2025.12,

    [2] 国家重研发计划项目子课题,2024.12-2027.12

    [3] 浙江省自然基金面上项目,2023.01-2025.12,

    [4] 浙江省哲学规划一般课题,2025.01.01-2027.12.31

    [5] 浙江省教育科学规划一般课题,2023.02-2025.01

    [6] 省重点实验室开放基金重点项目,2021.05-2022.12



    部分发明专利

    [1] 黄琼浩黄昌勤,李明,蒋凡,俞建慧,人脸表情识别模型训练、识别方法、系统装置及介质,发明专利(202111024230.8),中国,2021.09

    [2] 黄琼浩, 杨梦洁,黄昌勤,卢凌诺,王勋,基于元启发式算法的个性化学习路径生成方法,发明专利(202510520241.7),中国,2025.06

    [3] 黄琼浩黄昌勤, 蒋凡, 王译, 涂雅欣, 韩中美, 一种基于时域因果信息的多模态教育资源自动标注方法,发明专利(202210715895.1), 中国,2022.07

    [4] 黄琼浩黄昌勤,王译,李明,涂雅欣,教与学行为数据支持下因果驱动的教学资源动态组织方法,发明专利(2022112332411),中国,2022.10

    [5] 黄琼浩,黄昌勤,蒋凡,王希哲,梅晓勇,基于多模态混合推理感知的教育资源存储调度优化方法,发明专利(2022112332888),中国,2022.10

    [6] 黄昌勤,陈继力,蒋云良,黄琼浩,王士进,基于认知神经科学的多模态混合教学资源构建方法及系统,发明专利(CN202311226217.X),中国,2023.12

    [7] 黄昌勤,蒋凡,蒋云良,肖俊,黄琼浩,基于多模态大语言模型的学习者投入度分析方法和系统,发明专利(202410158587),中国,2024.08

    [8] 黄昌勤,史鑫星,黄琼浩,王士进,蒋云良,一种基于跨域图的异常评论用户检测方法及系统,发明专利(202411676212.1),中国,2024.11


    获得奖励

    [1] 第九届高等学校科学研究优秀成果奖(人文社会科学) ,一等奖,中华人民共和国教育部,文科国家级,2024.02

    [2] 第二十五届中国专利奖,优秀奖,国家知识产权局,2024.12

    [3] 广东省哲学社会科学优秀成果奖,特等奖,广东省人民政府,2021.12

    [4] “成泰共好”奖教基金青年教师奖,2022.10

    [5] 广东省优秀毕业生(博士研究生阶段),2021.06

    [6] 2023年度浙江省教育科学研究优秀成果奖,2024.12


    通讯评审

    [1] Program Committee Member of APWeb-WAIM 2024, GCCIL 2022, IFET 2021

    [2] Reviewers for IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Industrial Informatics, IEEE Transactions on Learning Technologies, Information Sciences, Information Processing & Management, Knowledge-Based Systems, Expert Systems with Applications, Applied Intelligence, Multimedia Systems, Soft Computing, Knowledge and Information Systems, Scientific Reports, Plos One, CMC-Computers, Materials & Continua, IEEE Access, Current Bioinformatics, International Journal of Machine Learning and Cybernetics, Computer Systems Science and Engineering, Current Psychiatry Research and Reviews, CURRENT MEDICAL IMAGING, Frontiers of Information Technology & Electronic Engineering, IEEE Transactions on Education, IEEE Transactions on Consumer Electronics, JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY, Journal of Computational and Cognitive Engineering, Interactive Learning Environments, CMES-Computer Modeling in Engineering & Sciences, Journal on Artificial Intelligence, Discover Artificial Intelligence, Engineering Applications of Artificial Intelligence, Intelligent Automation & Soft Computing, Recent Advances in Electrical & Electronic Engineering, IEEE Transactions on Artificial Intelligence, ACM Transactions on Intelligent Systems and Technology, Journal of Systems Science and Systems Engineering, ACM Transactions on Knowledge Discovery from Data, Transactions on Emerging Telecommunications Technologies, Jordanian Journal of Computers and Information Technology, IEEE Transactions on Cybernetics, IEEE Transactions on Affective Computing, Human-centric Computing and Information Sciences, Journal of Ambient Intelligence and Humanized Computing, IEEE Transactions on Image Processing, IEEE Transactions on Multimedia, ACM Transactions on Multimedia Computing, Communications, and Applications, IEEE Journal of Biomedical and Health Informatics, Automatika: Journal for Control, Measurement, Electronics, Computing and Communications…