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    李明

    • 性别 : 男
    • 毕业院校 : 澳大利亚拉筹伯大学
    • 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 : 教师教育学院
    • 入职时间 : 2019-11-15
    • 联系方式 : mingli@zjnu.edu.cn
    • Email :

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    个人简介

    李明,博士,浙江省钱江人才计划D类项目 (紧缺急需型)获得者(2020年全浙江省仅34人),浙江师范大学教师教育学院教育技术系“双龙学者”特聘教授,博士生导师,博士毕业于澳大利亚拉筹伯大学 (La Trobe University) 计算机科学与信息技术系,David Myers Research 奖学金获得者,分别在澳大利亚拉筹伯大学数学与统计系、华南师范大学教育技术系完成两站博士后研究工作。


    欢迎计算机/应用数学/教育技术学/统计学等相关专业的同学报考我的研究生,优秀毕业生依学生个人意愿可帮助推荐去海外攻读博士或从事博士后研究。

    欢迎访问我的Google Scholar主页、ResearchGate主页     English Version Homepage


    教育经历:

    1. 2013.12-2017.9,  澳大利亚拉筹伯大学,计算机科学与信息技术系,工学博士;

    2. 2010.9-2013.7,    中国计量大学,应用数学系,理学硕士;

    3. 2006.9-2010.7,    山东师范大学, 信息与计算科学系,理学学士


    工作经历:

    1. 2019.11-至今,  浙江师范大学, 教师教育学院,“双龙学者”特聘教授、博导;

    2. 2019.7-2019.9, 澳大利亚新南威尔士大学,数学与统计系,访问学者;

    3. 2017.12-2019.11, 华南师范大学,教育信息技术学院,博士后;

    4. 2017.7-2018.12, 澳大利亚拉筹伯大学,数学与统计系,研究员;

    5. 2014.1-2017.6, 澳大利亚拉筹伯大学,计算机科学与信息技术,研究助理


    研究方向与兴趣

    机器学习、深度学习(算法与理论)、神经网络随机训练算法、图神经网络、图表示学习、推荐系统、图像处理、教育大数据分析(在线学习者情感分析,学情预测,知识追踪等)、应用及计算调和分析(球面调和分析、小波分析、球面散乱数据插值与逼近等等)

     

    论文选列:

    -已投稿:

    1. M. Li, P. Broadbridge, A. Olenko, Y. G. Wang, Fast tensor needlet transforms for tangent vector fields on the sphere,  arXiv Preprint, submitted to IEEE Transactions on Signal Processing (SCI,中科院一区,Top期刊), 2020.

    2. C. Huang, M. Li (通讯作者), D. Wang, Stochastic configuration network ensembles with selective base models, submitted to Neural Networks (SCI,中科院二区), 2020.

    3. Z. Wang, M. Li (通讯作者), Y. Lu, Y. Bao, Z. Li, J. Zhao, Effective multiple pedestrian tracking system in video surveillance with monocular stationary camera, submitted to Expert Systems with Applications (SCI,中科院二区Top期刊), 2020.

    4. C. Huang, M. Li (通讯作者), F. Cao, H. Fujita, F. Jiang, Graph convolutional networks with random weights for node classification, submitted to IEEE TNNLS (SCI,中科院一区Top期刊), 2020.

    5. K. Yao, J. Liang (山西大学梁吉业教授,CCF会士), J. Liang, M. Li,  F. Cao, Multi-view graph convolutional networks with attention mechanism, submitted to Artificial Intelligence (CCF A类期刊), 2020. 

    [https://sxu-yaokx.github.io/MAGCN/]

    6. S. Sonoda, M. Li (通讯作者), F. Cao, C. Huang, Y. G. Wang, On the approximation lower bound for neural nets with random weights, submitted to NeurIPS  (CCF A类国际顶级会议),2020. 

    [https://arxiv.org/abs/2008.08427]

    7. X. Zheng, B. Zhou, M. Li, Y. G. Wang, and J. Gao, Deep graph neural networks with Haar transform-based convolution and pooling: A complete guide, submitted to IEEE TNNLS (SCI,中科院一区Top期刊), 2020. 

    [https://arxiv.org/abs/2007.11202]


     -已接收 (SCI 1篇, EI 1篇-CCF A类):

    8. Z. Ma, J. Xuan, Y. G. Wang, M. Li, P. Lio (图注意力网络模型-GAT 作者之一), Path integral based convolution and pooling for graph neural networks, NeurIPS (CCF A类国际顶级会议), 2020.  [https://arxiv.org/abs/2006.16811]

    9. Q. T. Le Gia, M. Li (通讯作者), Y. G. Wang, FaVeST: Fast vector spherical harmonic transforms,  arXiv PreprintACM Transactions on Mathematical Softwares, accepted with minor revision, 2020.  (SCI收录,中科院大类二区,小类一区,Top期刊),


    -已发表(SCI 14篇-中科院一区6篇-ESI高被引1篇,EI 3篇-CCF A类1篇, SSCI 2篇):

    10Z. Wu, M. Li, Y. Tang, Q. Liang, Exercise recommendation based on knowledge concept predictionKnowledge-Based Systemsvol. 210, 106481, 2020.  (SCI,中科院一区Top期刊) [链接]

    11D. Fryer, M. Li, A. Olenkorcosmo: R package for analysis of spherical, HEALPix and cosmological data The R Journalvol. 12, no. 1, pp. 206-225, 2020. (SCI收录)[链接]

    12Y. G. WangM. Li (通讯作者、共同一作)Z. Ma, G. Montufar, X. Zhuang, Y. FanHaar Graph Pooling,  ICML (CCF A类国际顶级会议), 2020. [链接]

    13M. Li, Z. Ma, Y. G. Wang, X. Zhuang,Fast Haar transforms for graph neural networksNeural Networksvol. 128, pp. 188-198, 2020 (SCI收录,中科院二区,国际神经网络协会会刊、欧洲神经网络协会会刊、日本神经网络协会会刊)

    14. Z. Ma, M. Li, Y. Wang, PAN: Path integral based convolution for deep graph neural networks, In Workshop on Learning and Reasoning with Graph-Structured Representations, The 36th International Conference on Machine Learning (ICML)2019.

    15. M. Li, C. Huang, Q. Hu, J. Zhu, Y. Tang, Improved randomized learning algorithms for imbalanced and noisy educational data classification, Computing, pp. 1-15, 2019. (SCI收录)

    16. M. Li, C. Huang, and D. Wang, Robust stochastic configuration networks with maximum correntropy criterion for uncertain data regression, Information Sciences, vol. 473, pp. 73-86, 2019.  (SCI收录,中科院一区Top期刊)

    17. M. Li and D. Wang, 2-D stochastic configuration networks for image data analytics, IEEE Transactions on Cybernetics, 2019, DOI:10.1109/TCYB.2019.2925883.  (SCI收录,中科院一区Top期刊)

    18. D. Wang, M. Li, Deep stochastic configuration networks with universal approximation property, in Proceedings of the International Joint Conference on Neural Networks, pp. 1-8, IEEE, 2018.  (EI 收录)

    19. D. Wang, M. Li, Stochastic configuration networks: Fundamentals and algorithms, IEEE Transactions on Cybernetics, vol. 47, no. 10, pp. 3466-3479, 2017 (ESI Highly Cited Paper). SCI收录,中科院一区,Top期刊, ESI高被引用论文)

    20. M. Li, D. Wang, Insights into randomized algorithms for neural networks: Practical issues and common pitfalls, Information Sciences, vol. 382-383, pp. 170-178, 2017.  (SCI收录,中科院一区Top期刊)

    21. D. Wang, M. Li, Robust stochastic configuration networks with kernel density estimation for uncertain data regression, Information Sciences, vol. 412-413, pp. 210-222, 2017.  (SCI收录,中科院一区Top期刊)

    22. F. Cao and M. Li, Spherical data fitting by multiscale moving least squares, Applied Mathematical Modelling, vol. 39, no. 12, pp. 3448-3458, 2015.  (SCI收录,中科院二区)

    23. Z. Chen, F. Cao, and M. Li, Scattered data quasi-interpolation on spheres, Mathematical Methods in the Applied Sciences, vol. 38, no. 12, pp. 2527-2536, 2015.  (SCI收录)

    24. M. Li and F. Cao, Multiscale interpolation on the sphere: Convergence rate and inverse theorem, Applied Mathematics and Computation, vol. 263, pp. 134-150, 2015. (SCI收录,中科院一区Top期刊)

    25. F. Cao, Y. Zhang, M. Li. Approximation by diffuse functional of generalized moving least squares on the sphere, Acta Mathematica Sinica (Chinese version), 57(3): 607-614, 2014. 

    26. M. Li and F. Cao, Local uniform error estimates for spherical basis functions interpolation, Mathematical Methods in the Applied Sciences, vol. 37, no. 9, pp. 1364-1376, 2014. (SCI收录)

    27. M. Li, F. Cao, and Z. Chen, The equivalent theorem for jackson-type operators on spherical cap, Journal of Computational Analysis and Applications, vol. 15, no. 4, pp. 778-787, 2013. (SCI收录)

    28. C. Ding, M. LiF. Cao, Pointwise error estimates for spherical hybrid interpolation, Journal of Computational Analysis and Applications, vol. 26, no. 1, pp. 77-84, 2019. (SCI收录)

    29. C. Ding, M. Li, F. Cao, Lp approximation errors for hybrid interpolation on the unit sphere, Journal of Computational Analysis and Applications, vol. 27, no. 1, pp. 104-117, 2019. (SCI收录)

    30. Y. Tan, C. Deng, X. Wang, M. Shi., X, Bai, M. Li, Urban computing for smart city based on space-time load distribution information, in Proceedings of the 2nd IEEE Conference on Energy Internet and Energy System Integration, pp. 1-6, IEEE, 2018.  (EI收录)

    31. T. He, C. Huang, M. Li, Y. Zhou, S. Li, Social participation of the elderly in China: The roles of conventional media, digital access and social media engagement, Telematics and Informatics, vol. 48, 101347, 2020. (SSCI收录,JCR Q1)

    32. J. Yu, C. Huang, Z. Han, T. He, M. Li, Investigating the influence of interaction on learning persistence in online settings: Moderation or mediation of academic emotions? International Journal of Environmental Research and Public Health, vol. 17, no. 7, 2320, 2020. (SSCI收录,JCR Q2)


    专利:

    1. 李明,黄昌勤,张捷,朱佳, 基于图卷积神经网络和动态权重的课程推荐方法和系统,2019,发明专利,已受理。

    2. 黄昌勤,黄琼浩,李明,王希哲,何涛,基于图卷积的知识追踪数据处理方法、系统和存储介质,2020,发明专利,已受理。


    科研项目 

    1. 2019-2021,国家自然科学基金青年项目,主持,在研; 

    2. 2020-2022,   浙江省钱江人才计划D类, 主持, 在研;

    3. 2018-2019,中国博士后科学基金特别资助,主持,已结题; 

    4. 2018-2019,中国博士后科学基金一等资助,主持,已结题 


    所获荣誉 

    1. 浙江师范大学“双龙学者”特聘教授(2019.11);

    2. 华南师范大学优秀出站博士后(2019.11);

    3. IEEE Transactions on Cybernetics 优秀审稿专家(2016,2017)

    4. 澳大利亚拉筹伯大学优秀博士论文提名(2017);

    5. 澳大利亚拉筹伯大学 David Myers全额奖学金(2013-2017);

    6. 中国计量大学优秀硕士毕业论文(2014)


    学术活动

    1.  中国计算机协会(China Computer Federation,CCF) 会员

    2.  中国人工智能学会(Chinese Association for Artificial Intelligence,CAAI) 会员

    3.  中国人工智能学会---知识工程与分布智能专委会委员

    4.  The Institute of Electrical and Electronics Engineers (IEEE) 会员

    5.  Australian Mathematical Society, 澳大利亚数学会会员

    6.  国际权威杂志及顶级会议审稿人

        IEEE Transactions on Neural Networks and Learning Systems (SCI,中科院一区,Top期刊)

        IEEE Transactions on Cybernetics (SCI,中科院一区,Top期刊)

        IEEE Transactions on Knowledge and Data Engineering  (SCI,中科院二区,CCF A类期刊)

        Information Sciences (SCI,中科院一区,Top期刊)

        Neural Networks (SCI,中科院二区)

        Neurocomputing (SCI,中科院二区,Top期刊)

        Applied Soft Computing (SCI,中科院一区,Top期刊)

        Applied Mathematical Modelling (SCI,中科院二区,Top期刊)

        WIREs Data Mining and Knowledge Discovery (SCI,中科院三区,综述期刊)

        International Journal of Machine Learning and Cybernetics (SCI,中科院三区)

        ICML 2020, NeurIPS2020, ICLR2021 (机器学习方向三大国际顶级会议,CFF 推荐A 类会议)

        


     



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