1、基本信息
姓名： 杜旭
博/硕导： 硕士生导师 博士生导师
硕士生招生专业： 计算机科学与技术 通信与信息系统 软件工程 教育信息技术 教育技术学
博士生招生专业： 计算机科学与技术 电子信息 教育信息技术
邮箱：duxu@mail.ccnu.edu.cn
2、研究方向
机器学习与教育大数据分析、智能感知与多模态数据处理、大模型与教育智能体、知识图谱与学习资源组织
3、科研项目
国家自然科学基金“计算机辅助的协作问题解决中情感-社交-认知建模分析与引导促进” 2024.1-2027.12
国家科技创新2030“新一代人工智能”重大项目子课题“软件定义的科教资源共建共享支撑平台” 2022.1-2024.12
国家重点研发计划项目子课题“多主体主观评价分析技术” 2021.12-2026.11
国家自然科学基金“智慧学习环境中基于学习需求感知与引导的服务部署与内容分发”，2019.1-2022.12
教育部中国移动科研基金项目“基于众筹众创的教育大资源应用及服务模式研究”,2019.11-2021.11
国家发改委“互联网教育公共服务大数据重大创新示范应用”课题“教育大数据分析模型与基于知识关联的资源管理研究”，2017.1-2019.12
国家十二五支撑计划“数字化学习资源集成技术研究”，2015.4-2017.12
湖北省自然科学基金重点项目“面向教育云服务的移动学习关键技术研究” 2015.1-2017.12
科技部面向移动学习产业集群的科技服务业创新试点工程课题“云端一体化学习环境与装备成果转化与应用模式研究” 2015.1-2016.12
教育部-英特尔信息技术专项科研基金 “云端结合的教学资源构件库及应用”，2012.6-2014.6
4、专利成果
杜旭，杨宗凯，李浩，陆文，谢艺乾. 一种AI人机协同数据标注方法和系统. 202310825409.6 . 2024
李浩，杜旭，王静，普旭，胡壮. 基于隐知识空间映射的试题特征提取及知识点标注方法. 202211520312.6 . 2023
杨宗凯，杜旭，李浩，张利钊，谢艺乾. 一种基于多粒度数据融合的学习投入状态评估方法. 202211519389.1 . 2024
李浩，杜旭，何青，张明焱. 基于知识图谱的自适应导学方法及系统. 202011396218.5 . 2024
杜旭, 李浩, 班倩茹, 杨娟. 一种基于众智的视频学习资源提取及知识标注方法及系统. 202011319851.4 . 2022
杨宗凯，李浩，杜旭，杜凡凡，余雪. 一种基于知识关联的学习资源协同过滤推荐方法及系统. 201810918418.9 . 2021
杨宗凯，杜旭，李浩，林炳，付一迪. 一种基于知识关联的主题图冲突检测方法及系统. 201810918417.4 . 2021
杜旭，杨宗凯，李浩，张凡，刘梦瑾. 一种基于众智任务的用户置信度分析方法及系统. 201810918415.5 . 2021
杜旭，杨宗凯，杨娟，张明焱. 一种基于教育数据挖掘的学生成绩早期预警方法及系统. 201810917660.4 . 2021
李浩，杜旭，林炳，杨娟，马燕峰. 一种基于主题图的知识聚合方法及系统. 201810917658.7 . 2021
杜旭，李浩，杨宗凯，张明焱，徐帅. 一种课堂签到系统及方法. 201710798037.7 . 2021
杜旭，杨宗凯，李浩，徐帅. 一种基于群智汇聚收敛的资源关联方法. 201710798035.8 . 2021
杨宗凯：杜旭：李浩：柯立秋. 一种基于知识关联的资源组织及展示方法. 201710798032.4 . 2021
杜旭，杨宗凯，朱晓亮，李浩. 一种PPT共享方法及实现该方法的教师端和学生端. 201610518100.2 . 2020
杜旭，李浩，杨宗凯，何珍珍. 一种纸质印刷品与电子资源的关联方法及系统. 201610287440.9 . 2019
杨宗凯，杜旭，李浩，孔祥雯. 基于知识关联的学习笔记存储方法、存储器及系统 (发明专利). 201610286912.9 . 2016
5、个人荣誉
2008年，武汉市创新人才
2012年，华中科技大学研究生导师“师表奖”
2013年，湖北省高等学校教学成果奖一等奖（排3）
2018年，《机器学习》华中师范大学研究生精品课程一等奖
2022年，华中师范大学“三育人”先进个人
2017年，iTeach全国大学生数字化教育应用创新大赛一等奖指导教师
2020年，第六届中国国际“互联网+”大学生创新创业大赛湖北省赛铜奖指导教师
2020年，全国移动互联创新大赛三等奖指导教师
2021年，第十六届中国研究生电子设计竞赛商业计划书专项赛全国总决赛三等奖指导教师
6、学术兼职
香港教育大学客座教授
中国高教学会科技服务专家指导委员会委员
高校毕业生就业协会数字服务工委会学术委员会主任委员
7、讲授课程
本科生课程：计算机网络（湖北省一流本科生课程）
本科生课程：web技术及应用
本科生课程：智能检索技术
本科生课程：新生研讨课
硕士研究生课程：机器学习（研究生精品课）
硕士研究生课程：移动学习
博士研究生课程：机器学习理论及技术
8、发表论文
Juan Yang, Puling Wei, Xu Du, Jun Shen. Graph attention based on contextual reasoning and emotion-shift awareness for emotion recognition in conversations. Complex & Intelligent Systems. JUL 2025 (SCIE Q1)
Yeye Tang, Jui-Long Hung, Xu Du*, Hao Li, Shuoqiu Yang. Exploring the impact of students' social and cognitive skills on online Collaborative Problem Solving: empirical evidence from neuroscience. Behaviour & Information Technology. APR 2025 (SCIE Q2/SSCI Q2)
Shuoqiu Yang, Xu Du*, Hao Li, Jing Wang, Jingjie Zhao. Semantic improved representation for test questions via discipline domain graph and multi-view interaction. Information Sciences. APR 2025 (SCIE Q1)
Juan Yang, Yali Xiao, Xu Du. Multi-grained fusion network with self-distillation for aspect-based multimodal sentiment analysis. Knowledge-Based Systems. APR 2024 (SCIE Q1)
Yeye Tang, Xu Du*, Jui-Long Hung, Hao Li, Hengtao Tang, Yiqian Xie. Exploring the effects of roles and group compositions on social and cognitive interaction structures in online collaborative problem-solving. Education And Information Technologies. Mar 2024 (SSCI Q1)
Hengtao Tang, Yeye Tang, Miao Dai, Xu Du, Jui-Long Hung, Hao Li. Understanding College Students' Behavioral Patterns in a Blended Learning Class. Techtrends. JAN 2024
Juan Yang, Xu, Mengya, Yali Xiao, Xu Du. AMIFN: Aspect-guided multi-view interactions and fusion network for multimodal aspect-based sentiment analysis. Neurocomputing. JAN 2024 (SCIE Q2)
Wang Jing, Du Xu*, Li Hao, Zhuang Hu. Automatic Annotation of Knowledge Points in Picture-Based Educational Resources for Knowledge Scenarios (Chinese). Computer Engineering and Application. 2024
Shuoqiu Yang, Xu Du, Hengtao Tang*, Jui-Long Hung, Yeye Tang. Temporal group interaction density in collaborative problem solving: Exploring group interactions with different time granularities. Education And Information Technologies. DEC 2023 (SSCI Q1)
Juan Yang, Zhenkun Li, Xu Du. Analyzing audiovisual data for understanding user's emotion in human-computer interaction environment. Data Technologies And Applications. NOV 2023 (SSCI Q2, SCIE Q3)
Juan Yang, Xuanxiong Dong, Xu Du. SMFNM: Semi-supervised multimodal fusion network with main-modal for real-time emotion recognition in conversations. Journal Of King Saud University-Computer And Information Sciences. OCT 2023 (SCIE Q1)
Jing Wang, Hao Li, Xu Du, Jui-Long Hung, Shuoqiu Yang. S-KMN: Integrating semantic features learning and knowledge mapping network for automatic quiz question annotation. Journal Of King Saud University-Computer And Information Sciences. JUN 2023 (SCIE Q1)
Hengtao Tang, Miao Dai, Xu Du*, Jui-Long Hung & Hao Li. Understanding college students’ cognitive engagement in online collaborative problem-solving: A multimodal data analysis[J]. Distance Education, May 2023（44）(SSCI Q1)
Lizhao Zhang, Jui-Long Hung*, Xu Du, Hao Li, Zhuang Hu. Multimodal Fast-Slow Neural Network for learning engagement evaluation. Data technologies and applications. Feb 2023, 57 (3) , pp.418-435 (SSCI Q3)
Hengtao Tang, Miao Dai*, Xu Du*, Jui-Long Hung & Hao Li. An EEG study on college students’ attention levels in a blended computer science class[J]. Innovations in Education and Teaching International, Jan 2023 (SSCI Q3)
Xu Du, Lizhao Zhang, Jui-Long Hung*, Hao Li, Hengtao Tang, Miao Dai. Analyzing the effects of instructional strategies on students’ on-task status from aspects of their learning behaviors and cognitive factors[J]. Journal of Computing in Higher Education, Nov 2022 (SSCI Q1)
Hao Li, Jing Wang* , Xu Du , Zhuang Hu, Shuoqiu Yang. KBHN: A knowledge-aware bi-hypergraph network based on visual-knowledge features fusion for teaching image annotation[J]. Information Processing & Management, Oct 2022 (SSCI Q1)
张利钊, 杜旭*, 李浩, 谢艺乾, 唐野野. 基于多模态数据的学习投入评估方法分析[J]. 电化教育研究,2022(10):72-78.
Xu Du, Lizhao Zhang, Jui-Long Hung, Hao Li, Hengtao Tang, Yiqian Xie. Understand group interaction and cognitive state in online collaborative problem solving: leveraging brain-to-brain synchrony data[J]. International Journal of Educational Technology in Higher Education, Oct 2022 (SSCI Q1)
Hengtao Tang, Miao Dai, Shuoqiu Yang, Xu Du, Jui-Long Hung & Hao Li. Using multimodal analytics to systemically investigate online collaborative problem-solving[J]. Distance Education, Apr 2022(SSCI Q1)
Xu Du, Miao Dai, Hengtao Tang*, Jui‑Long Hung, Hao Li, Jinqiu Zheng. A multimodal analysis of college students’ collaborative problem solving in virtual experimentation activities: a perspective of cognitive load[J]. Journal of Computing in Higher Education, Mar 2022 (SSCI Q1)
Mingyan Zhang, Xu Du, Jui-Long Hung*, Hao Li, Mengfan Liu, Hengtao Tang. Analyzing and Interpreting Students' Self-regulated Learning Patterns Combining Time-series Feature Extraction, Segmentation, and Clustering[J]. Journal of Educational Computing Research. Jan 2022. (SSCI Q1)
Juan Yang, Xu Du, Jui‑Long Hung, Chih-Hsiung Tu. Analyzing online discussion data for understanding the student's critical thinking[J]. Data Technologies And Applications. Oct 2021(SSCI Q3)
Zhang Mingyan, Xu Du, Rice Kerry, Hung Jui-Long, Li Hao. Revealing at-risk learning patterns and corresponding self-regulated strategies via LSTM encoder and time-series clustering[J]. Information Discovery And Delivery. Jun 2021
张明焱, 杜旭, 李浩.结合学生行为模式分析的成绩早期预警研究[J]. 计算机工程与应用, 2021-4-8
Lizhao Zhang, Xu Du, Jui‑Long Hung, Hao Li*. Learning preference：Development in smart learning environments[J]. Information Discovery and Delivery, May 2021.
Xu Du, Juan Yang*, Brett E.Shelton, Jui-Long Hung and Mingyan Zhang. A Systematic Meta-Review and Analysis of Learning Analytics Research[J]. Behaviour & Information Technology, Jan 2021. 40(1):49-62 (SSCI Q2)
Zongkai Yang, Juan Yang, Rice Kerry, Jui-Long Hung*, Xu Du. Using Convolutional Neural Network to Recognize Learning Images for Early Warning of At-risk Students[J]. IEEE Transactions on Learning Technologies.2020.04.20. (SSCI Q1)
Xu Du, Juan Yang*, Jui-Long Hung, Brett E. Shelton. Educational Data Mining: A Systematic Review of Research and Engineering Trends[J]. Information Discovery and Delivery. May 2020, 48(4):225-236
Du Xu, Yang Juan*, Hung Jui-Long. An Integrated Framework Based on Latent Variational Autoencoder for Providing Early Warning of At-Risk Students. IEEE Access. 2020.01.1001（SCI Q2）
李浩; 余雪; 杜旭; 张明焱; 胡敏*; 基于学习者时空特征的移动学习资源推荐模型研究[J]. 现代教育技术, 2020, 30(10): 13-19.
Xu Du, Juan Yang*, Jui-Long Hung, Brett E. Shelton. A Comprehensive Review of Educational Data Mining[C]. AECT2019,2020.1.
Xu Du, Juan Yang*, Brett E.Shelton and Jui-Long Hung. Is learning anytime, anywhere a good strategy for success? Identifying successful spatial-temporal patterns of on-the-job and full-time students[J]. Information Discovery and Delivery, 2019.11. (Literati Award Winners, Outstanding Paper 2020)
Xu Du, Jui-Long Hung, Chih-Hsiung Tu. Enhancement of teaching and learning: applications in learning analytics and educational data mining[J]. Information Discovery and Delivery, May 2019. 47 (2) , pp.65-66
Xu Du, Mingyan Zhang, Brett E. Shelton*, Jui-Long Hung. Learning Anytime, Anywhere: a Spatio-Temporal Analysis for Online Learning[J]. Interactive Learning Environments. 2019.6 (SSCI Q1)
Jui-Long Hung, Brett E. Shelton, Juan Yang, Xu Du*. Improving Predictive Modeling for At-Risk Student Identification: A Multistage Approach. IEEE Transactions on Learning Technologies. 2019.4 (SSCI Q1)
Qing Ma, Xu Du, Jiahao Wang, Yong Ma, Jiayi Ma. Robust feature matching via Gaussian field criterion for remote sensing image registration[J]. Journal of Real-Time Image Processing, April 2, 2018.（SCI Q3）
Xu Du, Shunian Lai, Hao Li, Jui-Long Hung. Student performance evaluation based on online discussion[C]. International Conference of Innovative Technologies and Learning (ICITL’19), Troms, Norway, December 2–5, 2019
Xu Du, Juan Yang, Mingyan Zhang, Jui-Long Hung, Brett E. Shelton. Learning Analytics Research: Using Meta-Review to Inform Meta-Synthesis. Future Technologies Conference 2018. Nov.13-14 , 2018. Vancouver, BC, Canada.
Xu Du, Fan Zhang, Mingyan Zhang, Shuai Xu, Mengjin Liu. Research on Result Integration Mechanism Based on Crowd Wisdom to Achieve the Correlation of Resources and Knowledge Points[C]. International Conference of Innovative Technologies and Learning (ICITL’18), Portoroz, Slovenia. Aug. 27-30, 2018.
Brett E. Shelton, Juan Yang, Jui-Long Hung, Xu Du. Two-stage Predictive Modeling for Identifying At-risk Students [C]. International Conference of Innovative Technologies and Learning (ICITL’18), Portoroz, Slovenia. Aug. 27-30, 2018.
Xu Du, Liqiu Ke, Hao Li, Juan Yang. Research on Resource Aggregation Method Based on Knowledge Correlation[C] . International Conference of Educational Innovation through Technology, 2017.12.
Hao Li, Libin Wang, Xu Du*, Mingyan Zhang, Research on the Strategy of E-Learning Resources Recommendation based on Learning[C]. International Conference of Educational Innovation through Technology, 2017.12.7.
Xu Du, He Zhenzhen, Li Hao.A Study on Evaluation of Online Discussion Forums in Cloud Learning Environment[C], The 2016 International Conference on Progress in Informatics and Computing (PIC-2016), 2016.12.22-2016 .12.28 ..
Xiaoliang Zhu; Ming Chen; Xu Du; Hao Li. Research on Model of Collaborative Lesson Planning for Primary Teachers Based on Online Environment[C].International Conference of Educational Innovation Through Technology. IEEE Computer Society, 2015:213-215.
9、招生需求
每年计划招生：
博士研究生2~3名，硕士研究生3~6名，常年招收本科实习生。
博士招生专业： 计算机科学与技术、电子信息、教育技术
硕士招生专业：计算机科学与技术、人工智能、通信与信息、软件工程、教育技术、教育信息技术
要求：
1）具有上进心和科研热情；
2）教育信息技术、计算机网络、信息与通信等相关专业；
3）具有良好的英语读写能力、较好的数学基础；
4）具有一定的研发经验，至少熟悉一种编程工具或语言。
