吴微 照片

吴微

教授 博导

所属大学: 大连理工大学

所属学院: 数学科学学院

邮箱:
wuweiw@dlut.edu.cn

个人主页:
http://faculty.dlut.edu.cn/1998011087/zh_CN/index.htm

个人简介

教育经历 1985.101987.12英国牛津大学数学所计算数学博士 1978.101981.10吉林大学数学硕士 1974.101977.10吉林大学数学学士 工作经历 1998.10至今大连理工大学教师 1990.101998.10吉林大学教师 1988.11990.10英国巴斯大学博士后 1985.101987.12英国牛津大学数学所博士生 1981.101985.10吉林大学教师 1978.101981.10吉林大学硕士生 1977.101978.10辽宁省凌源县北方机械厂技术员 1969.91970.10牡丹江北方工具厂工人 1974.101977.10吉林大学本科生 1970.101974.10辽宁省凌源县北方机械厂工人 科研奖励 辽宁省教学成果一等奖 辽宁省科学技术奖 优秀教学成果奖(研究生类)

近期论文

Pan, Tingting,Zhao, Junhong,Wu, Wei,Yang, Jie.Learning imbalanced datasets based on SMOTE and Gaussian distribution[J],INFORMATION SCIENCES,2020,512:1214-1233 Zhao, Guoliang,Wu, Wei,Wang, Degang.Enhancement of the Variable Universe of Discourse Control By Hammersley Sequence-Based TP Model Transformation[A],2018,401-408 Li, Feng,Yang, Jie,Yao, Mingchen,Yang, Sibo,Wu, Wei.Extreme learning machine with local connections[J],NEUROCOMPUTING,2019,368:146-152 Zhao, Junhong,Shi, Maolin,Hu, Gang,Song, Xueguan,Zhang, Chao,Tao, Dacheng,Wu, Wei.A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data[J],IEEE ACCESS,2019,7:66703-66713 Yang, Sibo,Zhang, Chao,Wu, Wei.Binary Output Layer of Feedforward Neural Networks for Solving Multi-Class Classification Problems[J],IEEE ACCESS,2019,7:5085-5094 Alemu, Habtamu Zegeye,Zhao, Junhong,Li, Feng,Wu, Wei.Group L-1(/2) Regularization for Pruning Hidden Layer Nodes of Feedforward Neural Networks[J],IEEE ACCESS,2019,7:9540-9557 Li, Feng,Zurada, Jacek M.,Wu, Wei.Smooth group L-1/2 regularization for input layer of feedforward neural networks[J],NEUROCOMPUTING,2018,314:109-119 Li, Wenyu,Liu, Yan,Yang, Jie,Wu, Wei.A New Conjugate Gradient Method with Smoothing L-1/2 Regularization Based on a Modified Secant Equation for Training Neural Networks[J],NEURAL PROCESSING LETTERS,2018,48(2,SI):955-978 Alemu, Habtamu Zegeye,Wu, Wei,Zhao, Junhong.Feedforward Neural Networks with a Hidden Layer Regularization Method[J],SYMMETRY-BASEL,2018,10(10) Qu, Yanpeng,Shang, Changjing,Mac Parthalain, Neil,Wu, Wei,Shen, Qiang.Multi-functional nearest-neighbour classification[J],SOFT COMPUTING,2018,22(8):2717-2730 Li, Baohua,Lu, Huchuan,Li, Fu,Wu, Wei.Subspace Clustering With K-Support Norm[J],IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2018,28(2):302-313 Li, F.,Zurada, J. M.,Wu, W..SPARSE REPRESENTATION LEARNING OF DATA BY AUTOENCODERS WITH L-1/2 REGULARIZATION[J],NEURAL NETWORK WORLD,2018,28(2):133-147 赵国亮,吴微,汪德刚.Enhancement of the Variable Universe of Discourse Control By Hammersley Sequence-Based TP Model Transformation[A],8th International Conference on Information Science and Technology,2018,401-408 Zhao J.,Zurada J.M.,Yang J.,Wu W..The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization.[J],Neural networks : the official journal of the International Neural Network Society,2018,103:19-28 吴微,卢湖川.Subspace Clustering under Complex Noise[J],IEEE Transactions on Circuits and Systems for Video Technology,2018,28:302-313 Fan, Yetian,Tang, Xiwei,Hu, Xiaohua,Wu, Wei,Ping, Qing.Prediction of essential proteins based on subcellular localization and gene expression correlation[J],BMC BIOINFORMATICS,2017,18(Suppl 13):470 Li, Feng,Zurada, Jacek M.,Liu, Yan,Wu, Wei.Input Layer Regularization of Multilayer Feedforward Neural Networks[J],IEEE ACCESS,2017,5:10979-10985 Li, Baohua,Wu, Wei.Subspace Clustering Under Multiplicative Noise Corruption[A],INTELLIGENCE SCIENCE AND BIG DATA ENGINEERING, ISCIDE 2017,2017,10559:461-470 Fan, Yetian,Jiang, Xingpeng,Hu, Xiaohua,Song, Bo,Ling, Yuan,Wu, Wei.An Efficient Algorithm for Microbiome Sample Visualization Based on UniFrac Distance and Laplace Matrix[J],IEEE TRANSACTIONS ON NANOBIOSCIENCE,2016,15(4,SI):390-396 Fan, Qinwei,Wu, Wei,Zurada, Jacek M..Convergence of batch gradient learning with smoothing regularization and adaptive momentum for neural networks[J],SPRINGERPLUS,2016,5(1):295 吴微.Batch gradient metod for training of Pi-Sigma neural network with penalty[J],International Journal of Artificial Intelligence & Applications,2016,7(1):11-19 Yang, Dakun,Li, Zhengxue,Wu, Wei.Extreme learning machine for interval neural networks[J],NEURAL COMPUTING & APPLICATIONS,2016,27(1,SI):3-8 Fan, Yetian,Hu, Xiaohua,Tang, Xiwei,Ping, Qing,Wu, Wei.A novel algorithm for identifying essential proteins by integrating subcellular localization[A],IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM),2016,107-110 Fan, Yetian,Jiang, Xingpeng,Hu, Xiaohua,Song, Bo,Ling, Yuan,Wu, Wei.A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis[A],IEEE International Conference on Bioinformatics and Biomedicine,2015,49-54 Li W.,Wu W..A parameter conjugate gradient method based on secant equation for unconstrained optimization[J],Journal of Information and Computational Science,2015,12(16):5865-5871 Yang, Dakun,Li, Zhengxue,Liu, Yan,Zhang, Huisheng,Wu, Wei.A Modified Learning Algorithm for Interval Perceptrons with Interval Weights[J],NEURAL PROCESSING LETTERS,2015,42(2):381-396 Qu, Yanpeng,Shang, Changjing,Shen, Qiang,Mac Parthalain, Neil,Wu, Wei.Kernel-based Fuzzy-rough Nearest-neighbour Classification for Mammographic Risk Analysis[J],INTERNATIONAL JOURNAL OF FUZZY SYSTEMS,2015,17(3):471-483 Khan, Atlas,Xue, Li Zheng,Wei, Wu,Qu, YanPeng,Hussain, Amir,Vencio, Ricardo Z. N..Convergence Analysis of a New Self Organizing Map Based Optimization (SOMO) Algorithm[J],COGNITIVE COMPUTATION,2015,7(4):477-486 Liu, Yan,Li, Zhengxue,Yang, Dakun,Mohamed, Kh. Sh.,Wang, Jing,Wu, Wei.Convergence of batch gradient learning algorithm with smoothing L-1/2 regularization for Sigma-Pi-Sigma neural networks[J],NEUROCOMPUTING,2015,151(P1):333-341 龚燕,杨洁,吴微.基于蚁群迭代算法的近似测地线计算[J],大连理工大学学报,2015,55(1):115-118 吴微,杨洁.用于神经网络权值稀疏化的L1/2正则化方法[J],中国科学,2015,45(9):1487-1504 李正学,王兢,吴微.Convergence of batch gradient learning algorithm with smoothing L1/2 regularization for Sigma–Pi–Sigma neural networks[J],Neurocomputing,2015,151(1):333-341 Yao, Mingchen,Zhang, Chao,Wu, Wei.Learning Bounds of ERM Principle for Sequences of Time-Dependent Samples[J],DISCRETE DYNAMICS IN NATURE AND SOCIETY,2015,2015 Fan, Yetian,Wu, Wei,Yang, Jie,Yang, Wenyu,Liu, Rongrong.An Algorithm for Motif Discovery with Iteration on Lengths of Motifs[J],IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS,2015,12(1):136-141 吴微,杨洁.用于神经网络权值稀疏化的L_(1/2)正则化方法[J],中国科学. 数学,2015,45(9):1487-1504 Liu, Yan,Wu, Wei,Fan, Qinwei,Yang, Dakun,Wang, Jian.A modified gradient learning algorithm with smoothing L-1/2 regularization for Takagi-Sugeno fuzzy models[J],NEUROCOMPUTING,2014,138:229-237 Fan, Qinwei,Zurada, Jacek M.,Wu, Wei.Convergence of online gradient method for feedforward neural networks with smoothing L-1/2 regularization penalty[J],NEUROCOMPUTING,2014,131:208-216 Khan, Atlas,Yang, Jie,Wu, Wei.Double parallel feedforward neural network based on extreme learning machine with L-1/2 regularizer[J],International Workshop of Extreme Learning Machines (ELM),2014,128:113-118 Wu, Wei,Fan, Qinwei,Zurada, Jacek M.,Wang, Jian,Yang, Dakun,Liu, Yan.Batch gradient method with smoothing L-1/2 regularization for training of feedforward neural networks[J],NEURAL NETWORKS,2014,50:72-78 Fan, Ye-tian,Wu, Wei,Yang, Wen-yu,Fan, Qin-wei,Wang, Jian.A pruning algorithm with L (1/2) regularizer for extreme learning machine[J],JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS,2014,15(2):119-125 Yu, Ju-dong,Li, Feng,Wu, Wei,Wang, Jing.Neural Networks with L-1 Regularizer for Sparse Representation of Input Data[A],International Conference on Artificial Intelligence and Software Engineering (AISE),2014,437-440 吴微.A modified gradient learning algorithm with smoothing L1/2 regularization for Takagi-Sugeno fuzzy models[J],Neurocomputingv 138, p 229-37, 22 Aug. 2014,2014,138(4):229-237 吴微.Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks[J],Neural Networks,2014,50(1):72-78 吴微.Convergence of online gradient method for feedforward neural networks with smoothing L1/2 regularization penalty[J],Neurocomputing,2014,131(5):208-216 王兢,解永平,吴微.Identification of formaldehyde under different interfering gases conditions[A],2014 杨洁,吴微.Double parallel feedforward neural network based on extreme learning machine with L1/2regularizer[J],Neurocomputing,2014,128(March):113-118 杨洁,吴微.A Modified Gradient-Based Neuro-Fuzzy Learning Algorithm for Pi-Sigma Network Based on First-Order Takagi-Sugeno System[J],Journal of Mathematical Research with Applications,2014,34(1):114-126 余矩东,李锋,吴微,王健.Neural Networks with L1/2 Regularizer for Sparse Representation of Input Data[A],Proceedings of 2014 International Conference on Artificial Intelligence and Software Engineering (AISE2014), DEStech Publications,2014,437-440 Yang, Wenyu,Wu, Wei,Fan, Yetian,Li, Zhengxue.Particle Swarm Optimization Based on Local Attractors of Ordinary Differential Equation System[J],DISCRETE DYNAMICS IN NATURE AND SOCIETY,2014 Sun Q.,Liu Y.,Li Z.,Yang S.,Wu W.,Jin J..The binary output units of neural network[A],10th International Symposium on Neural Networks, ISNN 2013,2013,7951 LNCS(PART 1):250-257 Qu, Yanpeng,Shang, Changjing,Yang, Jie,Wu, Wei,Shen, Qiang.Modified gradient-based learning for local coupled feedforward neural networks with Gaussian basis function[J],NEURAL COMPUTING & APPLICATIONS,2013,22(SUPPL.1):S379-S394 Fan, Yetian,Wu, Wei,Liu, Rongrong,Yang, Wenyu.An iterative algorithm for motif discovery[A],17th Asia Pacific Symposium on Intelligent and Evolutionary Systems,2013,24:25-29 刘燕,杨洁,吴微,张会生.Convergence of online gradient methods for Pi-Sigma neural network with a penalty term, DOI: 10.1109/ANTHOLOGY.2013.[A],2013 IEEE Conference Anthology,2013,6784769-6784769 Qu, Yanpeng,Shen, Qiang,Mac Parthalain, Neil,Shang, Changjing,Wu, Wei.Fuzzy similarity-based nearest-neighbour classification as alternatives to their fuzzy-rough parallels[J],INTERNATIONAL JOURNAL OF APPROXIMATE REASONING,2013,54(1):184-195 Liu, Yan,Yang, Jie,Wu, Wei,Zhang, Huisheng.Convergence of online gradient methods for Pi-Sigma neural network with a penalty term[A],2013 IEEE Conference Anthology, ANTHOLOGY 2013,2013 Yang, Wenyu,Yang, Jie,Wu, Wei.A Modified Spiking Neuron that Involves Derivative of the State Function at Firing Time[J],NEURAL PROCESSING LETTERS,2012,36(2):135-144 Wang, Jian,Wu, Wei,Zurada, Jacek M..Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty[J],NEURAL NETWORKS,2012,33:127-135 Liu, Yan,Yang, Jie,Li, Long,Wu, Wei.Negative effects of sufficiently small initialweights on back-propagation neural networks[J],JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS,2012,13(8):585-592 Yang, Jie,Yang, Wenyu,Wu, Wei.A remark on the error-backpropagation learning algorithm for spiking neural networks[J],APPLIED MATHEMATICS LETTERS,2012,25(8):1118-1120 Zhang, Huisheng,Wu, Wei,Yao, Mingchen.Boundedness and convergence of batch back-propagation algorithm with penalty for feedforward neural networks[J],NEUROCOMPUTING,2012,89:141-146