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Jie Yang 0007
Person information
- affiliation (PhD): Dalian University of Technology, School of Mathematical Sciences, China
Other persons with the same name
- Jie Yang — disambiguation page
- Jie Yang 0001 — Carnegie Mellon University, Pittsburgh, PA, USA
- Jie Yang 0002
— Shanghai Jiao Tong University, Institute of Image Processing and Pattern Recognition, China (and 1 more)
- Jie Yang 0003
— Florida State University, Tallahassee, FL, USA (and 1 more)
- Jie Yang 0004 — University of Science and Technology of China, Department of Precision Machinery and Precision Instrumentation, Hefei, China
- Jie Yang 0005 — University of Massachusetts (and 1 more)
- Jie Yang 0006 — Ishizuka Lab, Tokyo University (and 1 more)
- Jie Yang 0008 — Cisco Systems (and 1 more)
- Jie Yang 0009
(aka: Jie (Jack) Yang) — University of Wollongong, SMART Infrastructure Facility, NSW, Australia
- Jie Yang 0010 — Advanced Micro Devices (and 1 more)
- Jie Yang 0011 — Xidian University, Key Lab of Intelligent Perception and Image Understanding of Ministry of Education of China, China
- Jie Yang 0012 — University of Houston-Victoria (and 1 more)
- Jie Yang 0013 — Syracuse University
- Jie Yang 0014 — IBM China Research Lab (and 1 more)
- Jie Yang 0015 — Yahoo! Labs (and 1 more)
- Jie Yang 0016 — South China University of Technology
- Jie Yang 0017 — Huazhong University of Science and Technology
- Jie Yang 0018 — Beijing Institute of Technology
- Jie Yang 0019 — Shanghai Second Polytechnic University
- Jie Yang 0020 — School of Business, Sun Yat-sen University
- Jie Yang 0021 — Wichita State University
- Jie Yang 0022
— Wuhan University of Technology, Key Laboratory of Fiber Optic Sensing Technology and Information Processing
- Jie Yang 0023
— Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Research Center of Network Monitoring and Analysis, Beijing Laboratory of Advanced Information Networks / Beijing Key Laboratory of Network System, Architecture and Convergence, China
- Jie Yang 0024
— Yanshan University, School of Electrical Engineering, Qinhuangdao, Hebei, China (and 1 more)
- Jie Yang 0025
— Southeast University, Development Research Center of Transportation Governed by Law, Nanjing, China
- Jie Yang 0026
— Jiangxi University of Science and Technology, Ganzhou, China (and 1 more)
- Jie Yang 0027
— Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, China
- Jie Yang 0028
— Delft University of Technology, The Netherlands (and 3 more)
- Jie Yang 0029
— Hunan University, College of Computer Science and Electronic Engineering, China
- Jie Yang 0030 — Temple University, School of Dentistry, Division of Oral and Maxillofacial Radiology, Philadelphia, USA
- Jie Yang 0031 — Anhui University, School of Physics & Material Science, Hefei, China
- Jie Yang 0032
— Xidian University, Institute of Intelligent Information Processing, Xi'an, China
- Jie Yang 0033
— Westlake University, Hangzhou, China (and 2 more)
- Jie Yang 0034
— Zhejiang A & F University, Jiyang College, Zhuji, China (and 1 more)
- Jie Yang 0035
— Southeast University, National Mobile Communications Research Laboratory, Nanjing, China
- Jie Yang 0036
— RMIT University, School of Aerospace, Mechanical and Manufacturing Engineering, Melbourne, VIC, Australia
- Jie Yang 0037
— North University of China, Shanxi Provincial Key Laboratory for Biomedical Imaging and Big Data, Taiyuan, China
- Jie Yang 0038
— Institute of Computing Technolgy, Chinese Academy of Sciences, Beijing, China (and 1 more)
- Jie Yang 0039
— Harvard University, Harvard Medical School, USA (and 1 more)
- Jie Yang 0040 — Wuhan University, LIESMARS, China
- Jie Yang 0041
— Columbia University, Department of Biomedical Engineering, NY, USA
- Jie Yang 0042
— Nanjing Institute of Technology, School of Communication Engineering, China
- Jie Yang 0043
— Xi'an University of Technology, Institute of Water Resources and Hydro-Electric Engineering, China
- Jie Yang 0044
— Chongqing University, College of Computer Science, China
- Jie Yang 0045
— Northwestern University, Department of Civil and Environmental Engineering, Evanston, IL, USA
- Jie Yang 0046
— Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China
- Jie Yang 0047
— Fujian Agriculture and Forestry University, College of Management, Fuzhou, China (and 1 more)
- Jie Yang 0048
— Hangzhou Dianzi University, Management School, China (and 3 more)
- Jie Yang 0049
— Chongqing University of Technology, College of Mechanical Engineering, China (and 1 more)
- Jie Yang 0050
— Nanjing University of Posts and Telecommunications, College of Electronic and Optical Engineering, China
- Jie Yang 0051 — Hangzhou Dianzi University, Key Lab for IOT and Information Fusion Technology of Zhejiang, China (and 1 more)
- Jie Yang 0052
— Zunyi Normal University, School of Physics and Electronic Science, China (and 1 more)
- Jie Yang 0053
— PLA Strategy Support Force Information Engineering University, School of Information Systems Engineering, Zhengzhou, China
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2020 – today
- 2024
- [j28]Tingting Pan, Witold Pedrycz, Jie Yang
, Jian Wang
:
An improved generative adversarial network to oversample imbalanced datasets. Eng. Appl. Artif. Intell. 132: 107934 (2024) - [j27]Bingjie Zhang, Jian Wang
, Chao Zhang, Jie Yang, Tufan Kumbasar
, Wei Wu:
Zero-order fuzzy neural network with adaptive fuzzy partition and its applications on high-dimensional problems. Neurocomputing 569: 127118 (2024) - [j26]Zongqi Liu, Xueguan Song, Jie Yang, Chao Zhang
, Dacheng Tao:
Generative adversarial networks for multi-fidelity matrix completion with massive missing entries. Inf. Fusion 111: 102541 (2024) - [j25]Yueqi Chen
, Witold Pedrycz
, Jian Wang
, Chao Zhang
, Jie Yang
:
A New Oversampling Method Based on Triangulation of Sample Space. IEEE Trans. Syst. Man Cybern. Syst. 54(2): 774-786 (2024) - 2023
- [j24]Yueqi Chen, Witold Pedrycz, Jie Yang
:
A new boundary-degree-based oversampling method for imbalanced data. Appl. Intell. 53(22): 26518-26541 (2023) - [j23]Jie Yang, Zhenhao Jiang, Tingting Pan, Yueqi Chen, Witold Pedrycz:
Oversampling method based on GAN for tabular binary classification problems. Intell. Data Anal. 27(5): 1287-1308 (2023) - [j22]Jie Yang, Junhong Zhao
:
A novel parallel merge neural network with streams of spiking neural network and artificial neural network. Inf. Sci. 642: 119034 (2023) - [j21]Fang Liu
, Witold Pedrycz
, Chao Zhang
, Jie Yang
, Wei Wu
:
Coding Method Based on Fuzzy C-Means Clustering for Spiking Neural Network With Triangular Spike Response Function. IEEE Trans. Fuzzy Syst. 31(12): 4235-4248 (2023) - 2022
- [j20]Tingting Pan, Witold Pedrycz, Jie Yang
, Wei Wu, Yulin Zhang:
A new classifier for imbalanced data with iterative learning process and ensemble operating process. Knowl. Based Syst. 249: 108966 (2022) - [j19]Fang Liu, Jie Yang
, Witold Pedrycz
, Wei Wu
:
A New Fuzzy Spiking Neural Network Based on Neuronal Contribution Degree. IEEE Trans. Fuzzy Syst. 30(7): 2665-2677 (2022) - [j18]Junhong Zhao
, Jie Yang
, Jun Wang
, Wei Wu
:
Spiking Neural Network Regularization With Fixed and Adaptive Drop-Keep Probabilities. IEEE Trans. Neural Networks Learn. Syst. 33(8): 4096-4109 (2022) - 2021
- [j17]Zhenhao Jiang
, Tingting Pan, Chao Zhang, Jie Yang:
A New Oversampling Method Based on the Classification Contribution Degree. Symmetry 13(2): 194 (2021) - 2020
- [j16]Tingting Pan
, Junhong Zhao, Wei Wu, Jie Yang
:
Learning imbalanced datasets based on SMOTE and Gaussian distribution. Inf. Sci. 512: 1214-1233 (2020) - [j15]Sibo Yang, Chao Zhang
, Yuan Bao, Jie Yang, Wei Wu:
Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems. Neural Process. Lett. 52(1): 153-167 (2020)
2010 – 2019
- 2019
- [j14]Feng Li, Jie Yang
, Mingchen Yao, Sibo Yang, Wei Wu:
Extreme learning machine with local connections. Neurocomputing 368: 146-152 (2019) - [j13]Chun Hua, Feng Li, Chao Zhang
, Jie Yang, Wei Wu:
A Genetic XK-Means Algorithm with Empty Cluster Reassignment. Symmetry 11(6): 744 (2019) - [c8]Lu Lu, Tingting Pan, Junhong Zhao, Jie Yang:
Interpretability for Neural Networks from the Perspective of Probability Density. SSCI 2019: 1502-1507 - 2018
- [j12]Junhong Zhao, Jacek M. Zurada
, Jie Yang
, Wei Wu:
The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization. Neural Networks 103: 19-28 (2018) - [j11]Wenyu Li, Yan Liu, Jie Yang, Wei Wu:
A New Conjugate Gradient Method with Smoothing L1/2 Regularization Based on a Modified Secant Equation for Training Neural Networks. Neural Process. Lett. 48(2): 955-978 (2018) - [i1]Jie Yang, Pingping Zhang, Yan Liu:
Robustness of classification ability of spiking neural networks. CoRR abs/1801.09827 (2018) - 2015
- [j10]Yetian Fan
, Wei Wu, Jie Yang, Wenyu Yang, Rongrong Liu:
An Algorithm for Motif Discovery with Iteration on Lengths of Motifs. IEEE ACM Trans. Comput. Biol. Bioinform. 12(1): 136-141 (2015) - 2014
- [j9]Atlas Khan, Jie Yang, Wei Wu:
Double parallel feedforward neural network based on extreme learning machine with L1/2 regularizer. Neurocomputing 128: 113-118 (2014) - 2013
- [j8]Yanpeng Qu
, Changjing Shang, Jie Yang, Wei Wu, Qiang Shen
:
Modified gradient-based learning for local coupled feedforward neural networks with Gaussian basis function. Neural Comput. Appl. 22(Supplement-1): 379-394 (2013) - 2012
- [j7]Jie Yang, Wenyu Yang, Wei Wu:
A remark on the error-backpropagation learning algorithm for spiking neural networks. Appl. Math. Lett. 25(8): 1118-1120 (2012) - [j6]Yan Liu, Jie Yang, Long Li, Wei Wu:
Negative effects of sufficiently small initialweights on back-propagation neural networks. J. Zhejiang Univ. Sci. C 13(8): 585-592 (2012) - [j5]Wenyu Yang, Jie Yang, Wei Wu:
A Modified Spiking Neuron that Involves Derivative of the State Function at Firing Time. Neural Process. Lett. 36(2): 135-144 (2012) - [c7]Wenyu Yang, Jie Yang, Wei Wu:
A Modified One-Layer Spiking Neural Network Involves Derivative of the State Function at Firing Time. ISNN (1) 2012: 149-158 - 2011
- [j4]Chao Zhang, Jie Yang, Wei Wu:
Binary Higher Order Neural Networks for Realizing Boolean Functions. IEEE Trans. Neural Networks 22(5): 701-713 (2011) - [j3]Jian Wang
, Jie Yang, Wei Wu:
Convergence of Cyclic and Almost-Cyclic Learning With Momentum for Feedforward Neural Networks. IEEE Trans. Neural Networks 22(8): 1297-1306 (2011) - 2010
- [j2]Wei Wu, Long Li, Jie Yang, Yan Liu:
A modified gradient-based neuro-fuzzy learning algorithm and its convergence. Inf. Sci. 180(9): 1630-1642 (2010) - [c6]Jie Yang, Long Li, Yan Liu, Jing Wang, Wei Wu:
Choice of initial bias in max-min fuzzy neural networks. IJCNN 2010: 1-3
2000 – 2009
- 2009
- [c5]Mingchen Yao, Jie Yang, Huisheng Zhang, Wei Wu:
An Attribute Value Reduction Algorithm Based on Set Operations. DBTA 2009: 181-183 - [c4]Long Li, Jie Yang, Wei Wu, Tianshuang Wu:
An intuitionistic fuzzy associative memory network and its learning rule. GrC 2009: 350-353 - 2007
- [j1]Jie Yang, Wei Wu:
Is bias dispensable for fuzzy neural networks? Fuzzy Sets Syst. 158(24): 2757-2762 (2007) - [c3]Jie Yang, Long Li, Yan Liu:
Dispensability of Bias for Three-layer Max-min Fuzzy Neural Networks. ICNC (1) 2007: 135-139 - 2005
- [c2]Jie Yang, Wei Wu, Zhiqiong Shao:
A New Training Algorithm for a Fuzzy Perceptron and Its Convergence. ISNN (1) 2005: 609-614 - 2004
- [c1]Wei Wu, Zhengxue Li, Guorui Feng, Naimin Zhang, Dong Nan, Zhiqiong Shao, Jie Yang, Liqing Zhang, Yuesheng Xu:
Recent Developments on Convergence of Online Gradient Methods for Neural Network Training. ISNN (1) 2004: 235-238
Coauthor Index
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last updated on 2024-08-23 19:25 CEST by the dblp team
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