导师代码： 20389
导师姓名： 解修蕊
性别： 女
特称：

职称： 副研究员
学位： 工学博士学位
属性： 专职
电子邮件： xiexiurui@uestc.edu.cn

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学术经历： 2017-2018赴新加坡博后交流，现电子科技大学副研究员。任多个期刊审稿人，以及CCF A 类会议IJCAI PC member.

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个人简介： 解修蕊，副研究员，2016年毕业于电子科技大学，主要研究领域：人工智能，机器学习，神经网络，类脑计算领域。

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科研项目： 1. 国家自然科学基金青年基金，具有时序迁移能力的Spiking-Transfer learning (脉冲-迁移学习)方法研究，2019/01 – 2021/12, 在研，主持。2. 中国博士后科学基金，基于脉冲神经网络的深度时序知识迁移模型研究， 2018/05– 2019/06，结题，主持。3. 四川省科技厅重点研发项目，基于DRGs 和大数据的疾病临床路径优化研究及应用，2018/01–2019/12， 结题，主持。4. 国家自然科学基金， 基于网络切片的 5G 物联网超低时延传输关键技术研究，2018/01– 2021/12，在研，参与。5. 国家自然科学基金， 具 有 时 序 处 理 能 力 的Spiking-Deep Learning（脉冲深度学习）方法研究， 2016/01 – 2019/12，结题，参与。

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研究成果： 【1】Xiurui Xie, Guisong Liu*, Qing Cai, Guolin Sun, Malu Zhang, Hong Qu, An end-to-end functional spiking model for sequential feature learning, Knowledge-Based Systems, 2020, 195: 105643. (SCI, EI，JCR二区)【1】Xiurui Xie, Hong Qu, Zhang Yi, Jurgen Kurths. Efficient Training of Supervised Spiking Neural Network via Accurate Synaptic-Efficiency Adjustment Method. IEEE Transactions on Neural Networks and Learning Systems, 2017, 28(6): 1411 - 1424. (SCI, EI，JCR一区)【4】Xiurui Xie, Guisong Liu*, Qing Cai, Pengfei Wei, Hong Qu, Multi-source sequential knowledge regression by using transfer RNN units. Neural Networks, 2019, 119: 151-161. (SCI, EI，JCR一区)【5】Xiurui Xie, Guisong Liu*, Cai Qing, Hong Qu, Malu Zhang, The Maximum Points-based Supervised Learning Rule for Spiking neural networks. Soft Computing. 2019, 23(20): 10187-10198. (SCI, EI，JCR三区)【6】Xiurui Xie, Hong Qu, Guisong Liu, Malu Zhang, Efficient training of supervised spiking neural networks via the normalized perceptron based learning rule, Neurocomputing, 2017, 241:152-163. (SCI, EI，JCR二区)【7】Zeheng Yang, Xiurui Xie*, Zhan Q, Liu G, Cai Q, Zheng X. A neural-network-based framework for cigarette laser code identification. Neural Computing and Applications. 2020, 32(15):11597-606. (SCI, EI，JCR二区)【8】Zeheng Yang, Guisong Liu, Xiurui Xie*, Cai Qing. Efficient dynamic domain adaptation on deep CNN. Multimedia Tools and Applications. 2020, 79(45):33853-73. (SCI, EI，JCR三区)【9】Xiurui Xie, Hong Qu, Guisong Liu, Malu Zhang, Jurgen Kurths. An Efficient Supervised Training Algorithm for Multilayer Spiking Neural Networks. PLOS ONE, 2016, 11(4): E**. (SCI, EI，JCR三区)【10】Malu Zhang, Hong Qu, Xiurui Xie, Jürgen Kurths, Supervised learning in spiking neural networks with noise-threshold, Neurocomputing, 2017, 219 (C) :333-349. (SCI, EI，JCR二区)【11】Hong Qu, Xiurui Xie, Yongshuai Liu, Malu Zhang, Li Lu. Improved perception-based spiking neuron learning rule for real-time user authentication. Neurocomputing, 2015, 151: 310-318. (SCI, EI，JCR二区)【12】Qiugang Zhan, Guisong Liu, Xiurui Xie, Guisong Liu et al, Effective Transfer Learning Algorithm in Spiking Neural Networks. Revised to IEEE Transactions on Cybernetics, 2021. (SCI, EI，JCR一区)【13】Minyu Feng, Hong Qu, Zhang Yi, Xiurui Xie, Jürgen Kurths. Evolving Scale-Free networks by Poisson Process: Modeling and Degree Distribution, IEEE Transactions on Cybernetics, 2016, 46(5) 1144-1155. (SCI, EI，JCR一区)【14】Xiurui Xie, Hong Qu, Guisong Liu, Lingshuang Liu. Recognizing Human Actions by Using the Evolving Remote Supervised Method of Spiking Neural Networks. Neural Information Processing. Springer International Publishing, 2014: 366-373.（Conference）【15】Zhang M, Wu J, Belatreche A, Pan Z, Xiurui Xie, et al. Supervised learning in spiking neural networks with synaptic delay-weight plasticity. Neurocomputing. 2020,409:103-18. (SCI, EI，JCR二区)【16】Malu Zhang, Hong Qu, Ammar Belatreche, Xiurui Xie, EMPD: An Efficient Membrane Potential Driven Supervised Learning Algorithm for Spiking Neurons, IEEE Transactions on Cognitive and Developmental Systems, DOI: 10.1109/TCDS.2017.**, 2017(SCI,EI). (SCI, EI，JCR三区)

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专业研究方向： 专业名称 研究方向 招生类别
081200计算机科学与技术 02机器智能与模式识别 硕士
081200计算机科学与技术 06云计算与大数据处理 硕士

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