
邓欣

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教授
- 主要任职:数据科学系主任
- 其他任职:数据工程与可视计算重点实验室副主任
- 性别:男
- 毕业院校:新加坡国立大学
- 学历:研究生(博士)毕业
- 学位:工学博士
- 在职信息:在岗
- 所在单位:人工智能学院
- 办公地点:信科1808
- 联系电话:QQ:88561618
- 电子邮箱:8fc2a2674b3c9655c607ec5921f19d8d89c1e79dbe28556d169c2b63bf75bd2812085bec13f64de57515755da6e5254b701b919b27585573b37cfae2d6c0d3a2da79c60a997d9c1926a82c94ddd0625b1d6ce90f3daeb4adc5d0e873446771120e23db41b179a3125d1851b459fff241a2663fd4086b34cbeef36a44ab2cfd4a
访问量:
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[21] A WeChat Mini-program System with LSTM for The Emotional EEG Signal Recognition.[C].Proc. of The 2nd International Conference on Industrial Artificial Intelligence,2020
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[22] EEG Identification based on Brain Functional Network and Autoregressive Model.[C].Proc. of IEEE 7th Data Driven Control and Learning Systems Conference,2020
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[23] EEG Extended Source Imaging with Structured Sparsity and L1-norm Residual.[J].Neural Computing and Applications,2021(录用)
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[24] Advanced TSGL-EEGNet for Motor Imagery EEG-Based Brain-Computer Interfaces.Access,2021(录用)
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[25] 陈乔松,刘晓(学),冉会琼(学),邓欣,王进(学).A Fast Multi-scale Decomposition based Tone Mapping Algorithm for High Dynamic Range Images.IEEE/SMC(IEEE Conference on Systems, Man and Cybernetics系统工程国际会议),2017
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[26] 陈乔松,邓欣,王进.A novel multi-feature fusion and sparse coding- Based framework for image retrieval.IEEE International Conference on System,Man and Cybernetics,2014
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[27] 陈乔松,邓欣,王进.Affine invariant features-based tone mapping algorithm for high dynamic range images.proceedings- IEEE international Conference on Systems,Man and Cybernetics,2014
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[28] 陈乔松,闫亚星(学),邓欣,王进(学).An efficient contents-adaptive backlight control method for mobile devices.proceedings of SPIE,2015
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[29] Zhengyu Zhu, Xiaohua Li, Yong Yang, Xin Deng, Mengshuang Xia, Zhihua Xie,Jianhui Liu.A Hybrid Genetic Algorithm for the Multiple Depot Capacitated Arc Routing Problem.On IEEE International Conference on Automation and Logistics:On IEEE International Conference on Automation and Logistics,2007
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[30] Xin Deng, Qinyuan Ren, Ying Du, Guoyin Wang.Rongkun Wu and Xiang Si Modeling The Undulatory Locomotion of C. elegans Based On The Proprioceptive Mechanism.Proceeding IEEE International Symposium on Industrial Electronics (ISIE2014):Proceeding IEEE International Symposium on Industrial Electronics (ISIE2014),2014:1556-1561.