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Pre One : 李荣锋,谢祎凡,李子晋,等.基于卷积神经网络的中国乐器分类[J].复旦学报(自然科学版),2020,59(05):517-522.DOI:10.15943/j.cnki.fdxb-jns.2020.05.002.
Next One : Li, Rongfeng, et al. "Dance to Music: Generative Choreography with Music using Mixture Density Networks." 2021 IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR). IEEE, 2021.
讲师(高校)
Supervisor of Master's Candidates
Gender:Male
Alma Mater:北京大学
Education Level:研究生毕业
Degree:博士学位
Status:在职
School/Department:数字媒体与设计艺术学院
Discipline:Computer science and technology *
Business Address:北京邮电大学沙河校区数媒楼407
Contact Information:+86 17812072876
PostalAddress : 北京市昌平区南丰路北京邮电大学沙河校区数媒楼407
Telephone : 15652658527
email : lirongfeng@bupt.edu.cn
Honors and Titles:
教育部社科基金资助项目 “基于机器学习的中国工尺谱自动翻译研究” 2019
丹尼奖新技术新乐器发明(E类)奖项 2021
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