东北师范大学数学与统计学院
个人信息
School of Mathematics and Statistics,NENU
Personal Particulars
个人信息
School of Mathematics and Statistics,NENU
Personal Particulars
徐东坡 教授
【主要科研著作】
【主要科研项目】
1. 徐东坡,王鹏飞,王昊,林雪萍,于雪,白蓉,崔莹. 基于HR微分的超复数神经网络的算法研究. 省、市、自治区科技项目(资助金额：5万元). 执行时间：2017-01-01至2018-12-31.
2. 徐东坡,王建中,杨志善,王朔,张五一,刘领弟,康茜,马立娟. 基于CR微分算子的复值神经网络学习算法研究. 省、市、自治区科技项目(资助金额：8万元). 执行时间：2017-01-01至2018-12-31.
3. 徐东坡. 基于信号统计特征及复学习率的复值神经网络学习算法研究. 国家自然科学基金项目(资助金额：10万元). 执行时间：2017-01-01至2020-12-31.
4. 徐东坡,王昊,王鹏飞,林雪萍,崔莹,白蓉,于雪. 基于CR微分算子的复值神经网络的学习算法研究. 青年探索培育基金(资助金额：6万元). 执行时间：2016-04-01至2017-11-01.
5. 徐东坡,贾念念,廉春波,柴艳有,张丽娜,费舟莹. 复值神经网络及其学习算法研究. 国家自然科学基金青年项目(资助金额：25万元). 执行时间：2014-01-01至2016-12-01.
2. 徐东坡,王建中,杨志善,王朔,张五一,刘领弟,康茜,马立娟. 基于CR微分算子的复值神经网络学习算法研究. 省、市、自治区科技项目(资助金额：8万元). 执行时间：2017-01-01至2018-12-31.
3. 徐东坡. 基于信号统计特征及复学习率的复值神经网络学习算法研究. 国家自然科学基金项目(资助金额：10万元). 执行时间：2017-01-01至2020-12-31.
4. 徐东坡,王昊,王鹏飞,林雪萍,崔莹,白蓉,于雪. 基于CR微分算子的复值神经网络的学习算法研究. 青年探索培育基金(资助金额：6万元). 执行时间：2016-04-01至2017-11-01.
5. 徐东坡,贾念念,廉春波,柴艳有,张丽娜,费舟莹. 复值神经网络及其学习算法研究. 国家自然科学基金青年项目(资助金额：25万元). 执行时间：2014-01-01至2016-12-01.
【主要科研成果】
1. 张会生,王元元,徐东坡,王静,徐丽红. The augmented complex-valued extreme learning machine. NEUROCOMPUTING. 2018-10-15.
2. 徐东坡,董健,张晟东. Convergence of quasi-Newton method for fully complex-valued neural networks. NEURAL PROCESS LETT(46卷3期961-968页). 2017-12-01.
3. 徐东坡,董健,张会生. Deterministic convergence of wirtinger-gradient methods for complex-valued neural networks. NEURAL PROCESS LETT(45卷2期445-456页). 2017-07-05.
4. 徐东坡,张丽娜,张会生. Learning algorithms in quaternion neural networks using GHR calculus. NEURAL NETW WORLD(27卷3期271-282页). 2017-05-01.
5. 徐东坡,夏亦犁,DaniloMandic. Optimization in quaternion dynamic systems: gradient, hessian, and learning algorithms. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 2016-02-01.
6. 许文翠,徐东坡. The Modified HR Calculus to Reproducing Kernel Hilbert Space and the Quaternion Kernel Least Mean Square Algorithm. 2015 Eighth International Conference on Internet Computing for Science and Engineering. 2015-11-01.
7. 徐东坡,张会生,DaniloMandic. Convergence analysis of an augmented algorithm for fully complex-valued neural networks. NEURAL NETWORKS. 2015-09-01.
8. 徐东坡,CyrusJahanchahi,CliveTook,DaniloMandic. Enabling Quaternion Derivatives:The generalized HR Calculus. Royal Society open science. 2015-08-01.
9. 徐东坡,DaniloMandic. The theory of quaternion matrix derivatives. IEEE T SIGNAL PROCES. 2015-03-01.
2. 徐东坡,董健,张晟东. Convergence of quasi-Newton method for fully complex-valued neural networks. NEURAL PROCESS LETT(46卷3期961-968页). 2017-12-01.
3. 徐东坡,董健,张会生. Deterministic convergence of wirtinger-gradient methods for complex-valued neural networks. NEURAL PROCESS LETT(45卷2期445-456页). 2017-07-05.
4. 徐东坡,张丽娜,张会生. Learning algorithms in quaternion neural networks using GHR calculus. NEURAL NETW WORLD(27卷3期271-282页). 2017-05-01.
5. 徐东坡,夏亦犁,DaniloMandic. Optimization in quaternion dynamic systems: gradient, hessian, and learning algorithms. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. 2016-02-01.
6. 许文翠,徐东坡. The Modified HR Calculus to Reproducing Kernel Hilbert Space and the Quaternion Kernel Least Mean Square Algorithm. 2015 Eighth International Conference on Internet Computing for Science and Engineering. 2015-11-01.
7. 徐东坡,张会生,DaniloMandic. Convergence analysis of an augmented algorithm for fully complex-valued neural networks. NEURAL NETWORKS. 2015-09-01.
8. 徐东坡,CyrusJahanchahi,CliveTook,DaniloMandic. Enabling Quaternion Derivatives:The generalized HR Calculus. Royal Society open science. 2015-08-01.
9. 徐东坡,DaniloMandic. The theory of quaternion matrix derivatives. IEEE T SIGNAL PROCES. 2015-03-01.
【主要科研奖励】
1. 徐东坡,DaniloP.Mandic. 成果名称：四元数矩阵导数理论及其在信号处理中的应用. 吉林省自然科学学术成果奖二等奖. 2017-12-31.
版权所有：东北师范大学数学与统计学院 系统开发：π工作室