姓名：戴青锋

性别:男

民族:汉族

工作部门:计算机科学与技术教研室

技术职称:讲师

籍贯:浙江省绍兴市

简介：

    博士毕业于浙江大学计算机科学与技术专业，目前担任信息工程学院专任教师一职，负责教学计算机专业的课程以及ACM程序设计竞赛，主要研究方向为深度学习和人工智能

教学情况：

    负责教学计算机专业的课程，包括《离散数学》、《编译原理》和《ACM程序设计基础》等课程，同时承担ACM程序设计竞赛指导教师一职

发表论文：

1、QingfengDai,XiangdongLi,WeidongGeng,WenguangJin,andXiubo Liang. Capg-myo: A muscle-computer interface supporting user-defined gesture recognition. In The 2021 9th International Conference on Computer and Communications Management, pages 52–58, 2021

2、Qingfeng Dai, Jinzhou Song, Siyu Wu, and Weidong Geng. Binoshuttle: A binocular badminton training-aided system based on 3d shutttlecock trajectories reconstruction. In 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Rebuttle

3、QingfengDai,YongkangWong,MohanKankanhalli,XiangdongLi,and Weidong Geng. Improved network and training scheme for cross-trial semg-based gesture recognition. IEEE Transactions on Biomedical Engineering, Reviewing

4、QingfengDai,YongkangWong,GuofeiSun,YanweiWang,ZhouZhou, Mohan Kankanhalli, and Weidong Geng. Unsupervised domain adaptation by causal learning for biometric signal based hci. IEEE Transactions on Multimedia Computing, Communications, and Applications, Acceptance

5、Yu Hu, Yongkang Wong, Qingfeng Dai, Mohan Kankanhalli, Weidong Geng, and Xiangdong Li. Semg-based gesture recognition with embedded virtual hand poses and adversarial learning. IEEE Access, 7:104108–104120, 2019

6、WentaoWei,QingfengDai,YongkangWong,YuHu,MohanKankanhalli, and Weidong Geng. Surface-electromyography-based gesture recognition by multi-view deep learning. IEEE Transactions on Biomedical Engineering, 66(10):2964–2973, 2019

主要研究方向：

    深度学习、人工智能、生物医学工程

联系方式：

    fengnan2712@gmail.com