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ORCIDYimin Yang 0001
Yi-min Yang 0001
Person information
- affiliation: Western University, Department of Electrical and Computer Engineering, London, ON, Canada
- affiliation: Vector Institute, Toronto, ON, Canada
- affiliation (2014 - 2018): Lakehead University, Department of Computer Science, Thunder Bay, ON, Canada
- affiliation (2009 - 2013): University of Windsor, Department of Electrical and Computer Engineering, Windsor, ON, Canada
- affiliation (PhD 2013): Hunan University, College of Electrical and Information Engineering, Changsha, China
Other persons with the same name
- Yimin Yang (aka: Yi-min Yang) — disambiguation page
- Yimin Yang 0002 — Florida International University, School of Computing and Information Sciences, Miami, FL, USA (and 1 more)
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2020 – today
- 2025
[j72]Huiping Zhuang, Zhiping Lin
, Yimin Yang, Kar-Ann Toh:
An analytic formulation of convolutional neural network learning for pattern recognition. Inf. Sci. 686: 121317 (2025)- [j71]Wandong Zhang, Yimin Yang, Thangarajah Akilan, Q. M. Jonathan Wu, Tianlong Liu:
Fast Transfer Learning Method Using Random Layer Freezing and Feature Refinement Strategy. IEEE Trans. Cybern. 55(1): 234-246 (2025) - [j70]Haojin Deng, Yimin Yang:
Context-Enriched Contrastive Loss: Enhancing Presentation of Inherent Sample Connections in Contrastive Learning Framework. IEEE Trans. Multim. 27: 429-441 (2025) - 2024
- [j69]Haojin Deng, Shiqi Wang, Yimin Yang, W. G. Will Zhao, Hui Zhang, Ruizhong Wei, Q. M. Jonathan Wu, Bao-Liang Lu:
Minimizing EEG Human Interference: A Study of an Adaptive EEG Spatial Feature Extraction With Deep Convolutional Neural Networks. IEEE Trans. Cogn. Dev. Syst. 16(6): 1915-1928 (2024) - [j68]Mingbo Zhao, Weizhi Meng, Bingyi Liu, Yimin Yang:
Guest Editorial of the Special Section on Generative Artificial Intelligence With Applications on Consumer Electronics. IEEE Trans. Consumer Electron. 70(2): 4955-4957 (2024) - [j67]Chengsheng Yuan, Baojie Cui, Zhili Zhou, Yuming Liu, Yimin Yang, Q. M. Jonathan Wu:
RTRGAN: Ridge Texture Rendering-Based Generative Adversarial Fingerprint Attack for Portable Consumer Electronics Devices. IEEE Trans. Consumer Electron. 70(3): 5471-5482 (2024) - [j66]Xiao Lu, Yulin Yuan, Xing Liu, Lucai Wang, Xuanyu Zhou, Yimin Yang:
Low-Light Salient Object Detection by Learning to Highlight the Foreground Objects. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7712-7724 (2024) - [j65]Wandong Zhang, Yimin Yang, Q. M. Jonathan Wu, Tianlong Liu:
Deep Optimized Broad Learning System for Applications in Tabular Data Recognition. IEEE Trans. Cybern. 54(12): 7119-7132 (2024) - [j64]Yurong Chen, Hui Zhang, Yaonan Wang, Yimin Yang, Q. M. Jonathan Wu:
Flex-DLD: Deep Low-Rank Decomposition Model With Flexible Priors for Hyperspectral Image Denoising and Restoration. IEEE Trans. Image Process. 33: 1211-1226 (2024) - [j63]Wandong Zhang, Yimin Yang, Zeng Li, Q. M. Jonathan Wu:
Progressive Learning Model for Big Data Analysis Using Subnetwork and Moore-Penrose Inverse. IEEE Trans. Multim. 26: 8104-8118 (2024) - [j62]Wandong Zhang, Yimin Yang, Tianlong Liu:
Coarse-to-Fine Target Detection for HFSWR With Spatial-Frequency Analysis and Subnet Structure. IEEE Trans. Multim. 26: 11290-11301 (2024) - [j61]Li Dong, Haijun Zhang, Jianghong Ma, Xiaofei Xu, Yimin Yang, Q. M. Jonathan Wu:
CLRNet: A Cross Locality Relation Network for Crowd Counting in Videos. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6408-6422 (2024) - [j60]Wandong Zhang, Yimin Yang, Q. M. Jonathan Wu, Tianlei Wang, Hui Zhang:
Multimodal Moore-Penrose Inverse-Based Recomputation Framework for Big Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6570-6582 (2024) - 2023
- [j59]Huanqiang Zeng, Jiuwen Cao, Yimin Yang, Junhui Hou:
Guest Editorial: machine learning for visual information processing & understanding. J. Ambient Intell. Humaniz. Comput. 14(11): 14765-14766 (2023) - [j58]Yurong Chen, Hui Zhang, Yaonan Wang, Weixing Peng, Wangdong Zhang, Q. M. Jonathan Wu, Yimin Yang:
D-BIN: A Generalized Disentangling Batch Instance Normalization for Domain Adaptation. IEEE Trans. Cybern. 53(4): 2151-2163 (2023) - [j57]Wandong Zhang, Q. M. Jonathan Wu, W. G. Will Zhao, Haojin Deng, Yimin Yang:
Hierarchical One-Class Model With Subnetwork for Representation Learning and Outlier Detection. IEEE Trans. Cybern. 53(10): 6303-6316 (2023) - [j56]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang:
Semisupervised Manifold Regularization via a Subnetwork-Based Representation Learning Model. IEEE Trans. Cybern. 53(11): 6923-6936 (2023) - [j55]Wandong Zhang, Yimin Yang, Tianlong Liu, Q. M. Jonathan Wu:
A Two-Stage Hierarchical One-Class Classification Structure for HFSWR Ship-Target Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j54]Bingrui Zhao, Yaonan Wang, Hui Zhang, Jinzhou Zhang, Yurong Chen, Yimin Yang:
4-bit CNN Quantization Method With Compact LUT-Based Multiplier Implementation on FPGA. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j53]Zhili Zhou, Chun Ding, Jin Li, Eman Mohammadi, Guangcan Liu, Yimin Yang, Q. M. Jonathan Wu:
Sequential Order-Aware Coding-Based Robust Subspace Clustering for Human Action Recognition in Untrimmed Videos. IEEE Trans. Image Process. 32: 13-28 (2023) - 2022
- [j52]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, W. G. Will Zhao, Qingzhong Li, Jiong Niu:
Fast Ship Detection With Spatial-Frequency Analysis and ANOVA-Based Feature Fusion. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j51]Kai Liu, Jingjing Cao, Yimin Yang, Wun-She Yap, Rui Tan, Zenghui Wang:
Special issue on neural computing and applications 2021. Neural Comput. Appl. 34(19): 16169-16171 (2022) - [j50]Wei Wu, Wei Sun, Q. M. Jonathan Wu, Yimin Yang, Hui Zhang, Wei-Long Zheng, Bao-Liang Lu:
Multimodal Vigilance Estimation Using Deep Learning. IEEE Trans. Cybern. 52(5): 3097-3110 (2022) - [j49]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, Ming Li:
HKPM: A Hierarchical Key-Area Perception Model for HFSWR Maritime Surveillance. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j48]Yurong Chen, Hui Zhang, Yaonan Wang, Lizhu Liu, Q. M. Jonathan Wu, Yimin Yang:
TAE-Seg: Generalized Lung Segmentation via Tilewise AutoEncoder Enhanced Network. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j47]Zhili Zhou, Xiaohua Dong, Zhetao Li, Keping Yu, Chun Ding, Yimin Yang:
Spatio-Temporal Feature Encoding for Traffic Accident Detection in VANET Environment. IEEE Trans. Intell. Transp. Syst. 23(10): 19772-19781 (2022) - [c11]Jingtian Zhao, Will Zhao, Yimin Yang, Amin Safaei, Ruizhong Wei:
To Mask or Not To Mask? A Machine Learning Approach to Covid News Coverage Attitude Prediction Based on Time Series and Text Content. CSE 2022: 59-64 - [c10]Xiao Lu, Yihong Cao, Sheng Liu, Chengjiang Long, Zipei Chen, Xuanyu Zhou, Yimin Yang, Chunxia Xiao:
Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training. CVPR 2022: 3106-3115 - [c9]Tim Heydrich, Yimin Yang, Xiangyu Ma, Yu Liu, Shan Du:
A Novel Lightweight Network for Fast Monocular Depth Estimation. ICASSP 2022: 2260-2264 - [c8]Tim Heydrich, Yimin Yang, Shan Du:
A Lightweight Self-Supervised Training Framework for Monocular Depth Estimation. ICASSP 2022: 2265-2269 - [c7]Weiting Liu, Yimin Yang:
Analysis of Autoencoders with Vapnik-Chervonenkis Dimension. NCAA (1) 2022: 316-326 - [e2]Haijun Zhang, Yuehui Chen, Xianghua Chu, Zhao Zhang, Tianyong Hao, Zhou Wu, Yimin Yang:
Neural Computing for Advanced Applications - Third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part I. Communications in Computer and Information Science 1637, Springer 2022, ISBN 978-981-19-6141-0 [contents] - [e1]Haijun Zhang, Yuehui Chen, Xianghua Chu, Zhao Zhang, Tianyong Hao, Zhou Wu, Yimin Yang:
Neural Computing for Advanced Applications - Third International Conference, NCAA 2022, Jinan, China, July 8-10, 2022, Proceedings, Part II. Communications in Computer and Information Science 1638, Springer 2022, ISBN 978-981-19-6134-2 [contents] - [i6]Xiao Lu, Yihong Cao, Sheng Liu, Chengjiang Long, Zipei Chen, Xuanyu Zhou, Yimin Yang, Chunxia Xiao:
Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training. CoRR abs/2206.08801 (2022) - 2021
- [j46]Xiexing Feng, Q. M. Jonathan Wu, Yimin Yang, Libo Cao:
A compensation-based optimization strategy for top dense layer training. Neurocomputing 453: 563-578 (2021) - [j45]Heshan Wang, Q. M. Jonathan Wu, Dongshu Wang, Jianbin Xin, Yimin Yang, Kunjie Yu:
Echo state network with a global reversible autoencoder for time series classification. Inf. Sci. 570: 744-768 (2021) - [j44]Adhri Nandini Paul, Peizhi Yan, Yimin Yang, Hui Zhang, Shan Du, Q. M. Jonathan Wu:
Non-iterative online sequential learning strategy for autoencoder and classifier. Neural Comput. Appl. 33(23): 16345-16361 (2021) - [j43]Xiao Lu, Yihong Cao, Sheng Liu, Xuanyu Zhou, Yimin Yang:
Real-time stage-wise object tracking in traffic scenes: an online tracker selection method via deep reinforcement learning. Neural Comput. Appl. 33(24): 16831-16846 (2021) - [j42]Wei Wu, Q. M. Jonathan Wu, Wei Sun, Yimin Yang, Xiaofang Yuan, Wei-Long Zheng, Bao-Liang Lu:
A Regression Method With Subnetwork Neurons for Vigilance Estimation Using EOG and EEG. IEEE Trans. Cogn. Dev. Syst. 13(1): 209-222 (2021) - [j41]Wei Wu, Wei Sun, Q. M. Jonathan Wu, Cheng Zhang, Yimin Yang, Hongshan Yu, Bao-Liang Lu:
Faster Single Model Vigilance Detection Based on Deep Learning. IEEE Trans. Cogn. Dev. Syst. 13(3): 621-630 (2021) - [j40]Hao Chen, Tianlei Wang, Jiuwen Cao, Pierre-Paul Vidal, Yimin Yang:
Dynamic Quaternion Extreme Learning Machine. IEEE Trans. Circuits Syst. II Express Briefs 68(8): 3012-3016 (2021) - [j39]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan, Hui Zhang:
A Width-Growth Model With Subnetwork Nodes and Refinement Structure for Representation Learning and Image Classification. IEEE Trans. Ind. Informatics 17(3): 1562-1572 (2021) - [j38]Yurong Chen, Hui Zhang, Yaonan Wang, Yimin Yang, Xianen Zhou, Q. M. Jonathan Wu:
MAMA Net: Multi-Scale Attention Memory Autoencoder Network for Anomaly Detection. IEEE Trans. Medical Imaging 40(3): 1032-1041 (2021) - [j37]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, Thangarajah Akilan:
Multimodel Feature Reinforcement Framework Using Moore-Penrose Inverse for Big Data Analysis. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5008-5021 (2021) - [c6]Xiang Wang, Yimin Yang, Qixiang Pang, Qiang Tang, Shan Du:
End-to-End Generative Adversarial Face Hallucination Through Residual In Internal Dense Network. EUSIPCO 2021: 676-680 - [i5]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang, W. G. Will Zhao, Hui Zhang:
Multi-Model Least Squares-Based Recomputation Framework for Large Data Analysis. CoRR abs/2101.01271 (2021) - [i4]Yimin Yang, Wandong Zhang, Q. M. Jonathan Wu, W. G. Will Zhao, Ao Chen:
Deconvolution-and-convolution Networks. CoRR abs/2103.11887 (2021) - 2020
- [j36]Xiexing Feng, Q. M. Jonathan Wu, Yimin Yang, Libo Cao:
An Autuencoder-based Data Augmentation Strategy for Generalization Improvement of DCNNs. Neurocomputing 402: 283-297 (2020) - [j35]Wandong Zhang, Q. M. Jonathan Wu, Yimin Yang:
Wi-HSNN: A subnetwork-based encoding structure for dimension reduction and food classification via harnessing multi-CNN model high-level features. Neurocomputing 414: 57-66 (2020) - [j34]Chuanlong Li, Xingming Sun, Zhili Zhou, Yimin Yang:
Real-time image carrier generation based on generative adversarial network and fast object detection. J. Real Time Image Process. 17(3): 655-665 (2020) - [j33]Yimin Yang, Q. M. Jonathan Wu, Xiexing Feng, Thangarajah Akilan:
Recomputation of the Dense Layers for Performance Improvement of DCNN. IEEE Trans. Pattern Anal. Mach. Intell. 42(11): 2912-2925 (2020) - [j32]Xiating Jin, Yaonan Wang, Hui Zhang, Hang Zhong, Li Liu, Q. M. Jonathan Wu, Yimin Yang:
DM-RIS: Deep Multimodel Rail Inspection System With Improved MRF-GMM and CNN. IEEE Trans. Instrum. Meas. 69(4): 1051-1065 (2020) - [j31]Hui Zhang, Miao Zhao, Li Liu, Hang Zhong, Zhicong Liang, Yimin Yang, Xianen Zhou, Q. M. Jonathan Wu, Yaonan Wang:
Deep Multimodel Cascade Method Based on CNN and Random Forest for Pharmaceutical Particle Detection. IEEE Trans. Instrum. Meas. 69(9): 7028-7042 (2020) - [j30]Thangarajah Akilan, Qingming Jonathan Wu, Amin Safaei, Jie Huo, Yimin Yang:
A 3D CNN-LSTM-Based Image-to-Image Foreground Segmentation. IEEE Trans. Intell. Transp. Syst. 21(3): 959-971 (2020) - [j29]Zhili Zhou, Q. M. Jonathan Wu, Yimin Yang, Xingming Sun:
Region-Level Visual Consistency Verification for Large-Scale Partial-Duplicate Image Search. ACM Trans. Multim. Comput. Commun. Appl. 16(2): 54:1-54:25 (2020) - [i3]Wandong Zhang, Yimin Yang, Q. M. Jonathan Wu:
Deep Networks with Fast Retraining. CoRR abs/2008.07387 (2020)
2010 – 2019
- 2019
- [j28]Hui Zhang, Yurong Chen, Yanan Song, Zhenlin Xiong, Yimin Yang, Q. M. Jonathan Wu:
Automatic Kidney Lesion Detection for CT Images Using Morphological Cascade Convolutional Neural Networks. IEEE Access 7: 83001-83011 (2019) - [j27]Wandong Zhang, Qingzhong Li, Q. M. Jonathan Wu, Yimin Yang, Ming Li:
A Novel Ship Target Detection Algorithm Based on Error Self-adjustment Extreme Learning Machine and Cascade Classifier. Cogn. Comput. 11(1): 110-124 (2019) - [j26]Zhili Zhou, Ching-Nung Yang, Yimin Yang, Xingming Sun:
Polynomial-Based Google Map Graphical Password System against Shoulder-Surfing Attacks in Cloud Environment. Complex. 2019: 2875676:1-2875676:8 (2019) - [j25]Eman Mohammadi, Q. M. Jonathan Wu, Mehrdad Saif, Yimin Yang:
Hierarchical feature representation for unconstrained video analysis. Neurocomputing 363: 182-194 (2019) - [j24]Amin Safaei, Q. M. Jonathan Wu, Akilan Thangarajah, Yimin Yang:
System-on-a-Chip (SoC)-Based Hardware Acceleration for an Online Sequential Extreme Learning Machine (OS-ELM). IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(11): 2127-2138 (2019) - [j23]Yimin Yang, Q. M. Jonathan Wu:
Features Combined From Hundreds of Midlayers: Hierarchical Networks With Subnetwork Nodes. IEEE Trans. Neural Networks Learn. Syst. 30(11): 3313-3325 (2019) - 2018
- [j22]Akilan Thangarajah, Q. M. Jonathan Wu, Yimin Yang:
Fusion-based foreground enhancement for background subtraction using multivariate multi-model Gaussian distribution. Inf. Sci. 430: 414-431 (2018) - [j21]Amin Safaei, Q. M. Jonathan Wu, Yimin Yang:
System-on-a-chip (SoC)-based hardware acceleration for foreground and background identification. J. Frankl. Inst. 355(4): 1888-1912 (2018) - [j20]Yimin Yang, Q. M. Jonathan Wu, Wei-Long Zheng, Bao-Liang Lu:
EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes. IEEE Trans. Cogn. Dev. Syst. 10(2): 408-419 (2018) - [j19]Hui Zhang, Xuanlun Li, Hang Zhong, Yimin Yang, Q. M. Jonathan Wu, Ji Ge, Yaonan Wang:
Automated Machine Vision System for Liquid Particle Inspection of Pharmaceutical Injection. IEEE Trans. Instrum. Meas. 67(6): 1278-1297 (2018) - [j18]Hui Zhang, Xiating Jin, Q. M. Jonathan Wu, Yaonan Wang, Zhendong He, Yimin Yang:
Automatic Visual Detection System of Railway Surface Defects With Curvature Filter and Improved Gaussian Mixture Model. IEEE Trans. Instrum. Meas. 67(7): 1593-1608 (2018) - [j17]Yimin Yang, Q. M. Jonathan Wu, Yaonan Wang:
Autoencoder With Invertible Functions for Dimension Reduction and Image Reconstruction. IEEE Trans. Syst. Man Cybern. Syst. 48(7): 1065-1079 (2018) - [i2]Yimin Yang, Q. M. Jonathan Wu, Xiexing Feng, Akilan Thangarajah:
Non-iterative recomputation of dense layers for performance improvement of DCNN. CoRR abs/1809.05606 (2018) - 2017
- [c5]Akilan Thangarajah, Q. M. Jonathan Wu, Yimin Yang, Amin Safaei:
Fusion of transfer learning features and its application in image classification. CCECE 2017: 1-5 - [c4]Amin Safaei, Q. M. Jonathan Wu, Yimin Yang, Akilan Thangarajah:
System-on-a-chip (SoC)-based hardware acceleration for extreme learning machine. ICECS 2017: 470-473 - [c3]Eman Mohammadi, Q. M. Jonathan Wu, Yimin Yang, Mehrdad Saif:
Effect of wavelet and hybrid classification on action recognition. ICIP 2017: 1787-1791 - 2016
- [j16]Yimin Yang, Q. M. Jonathan Wu:
Multilayer Extreme Learning Machine With Subnetwork Nodes for Representation Learning. IEEE Trans. Cybern. 46(11): 2570-2583 (2016) - [j15]Yimin Yang, Q. M. Jonathan Wu:
Extreme Learning Machine With Subnetwork Hidden Nodes for Regression and Classification. IEEE Trans. Cybern. 46(12): 2885-2898 (2016) - [c2]Xuebo Zhang, Ruijie Xue, Yimin Yang, Long Cheng, Yongchun Fang:
Learning Time-optimal Anti-swing Trajectories for Overhead Crane Systems. ISNN 2016: 338-345 - 2015
- [j14]Yimin Yang, Xiaofeng Lin, Zhiqiang Miao, Xiaofang Yuan, Yaonan Wang:
Predictive Control Strategy Based on Extreme Learning Machine for Path-Tracking of Autonomous Mobile Robot. Intell. Autom. Soft Comput. 21(1): 1-19 (2015) - [j13]Yimin Yang, Q. M. Jonathan Wu, Yaonan Wang, K. M. Zeeshan, Xiaofeng Lin, Xiaofang Yuan:
Data Partition Learning With Multiple Extreme Learning Machines. IEEE Trans. Cybern. 45(8): 1463-1475 (2015) - [j12]Yaonan Wang, Xiao Lu, Zhigang Ling, Yimin Yang, Zhenjun Zhang, Kena Wang:
A Method to Calibrate Vehicle-Mounted Cameras Under Urban Traffic Scenes. IEEE Trans. Intell. Transp. Syst. 16(6): 3270-3279 (2015) - [j11]Yimin Yang, Yaonan Wang, Q. M. Jonathan Wu, Xiaofeng Lin, Min Liu:
Progressive Learning Machine: A New Approach for General Hybrid System Approximation. IEEE Trans. Neural Networks Learn. Syst. 26(9): 1855-1874 (2015) - 2014
- [j10]Xiaofang Yuan, Jingyi Zhao, Yimin Yang, Yaonan Wang:
Hybrid parallel chaos optimization algorithm with harmony search algorithm. Appl. Soft Comput. 17: 12-22 (2014) - [j9]Zhiqiang Miao, Yaonan Wang, Yimin Yang:
Robust tracking control of uncertain dynamic nonholonomic systems using recurrent neural networks. Neurocomputing 142: 216-227 (2014) - [i1]Yimin Yang, Q. M. Jonathan Wu, Guangbin Huang, Yaonan Wang:
Pulling back error to the hidden-node parameter technology: Single-hidden-layer feedforward network without output weight. CoRR abs/1405.1445 (2014) - 2013
- [j8]Hui Wang, Xiaofang Yuan, Yaonan Wang, Yimin Yang:
Harmony search algorithm-based fuzzy-PID controller for electronic throttle valve. Neural Comput. Appl. 22(2): 329-336 (2013) - [j7]Yimin Yang, Yaonan Wang, Xiaofang Yuan, Youhui Chen, Lei Tan:
Neural network-based self-learning control for power transmission line deicing robot. Neural Comput. Appl. 22(5): 969-986 (2013) - [j6]Xiaofang Yuan, Yimin Yang, Hui Wang, Yaonan Wang:
Genetic algorithm-based adaptive fuzzy sliding mode controller for electronic throttle valve. Neural Comput. Appl. 23(Supplement-1): 209-217 (2013) - [j5]Yimin Yang, Yaonan Wang, Xiaofang Yuan:
Parallel Chaos Search Based Incremental Extreme Learning Machine. Neural Process. Lett. 37(3): 277-301 (2013) - 2012
- [j4]Yimin Yang, Yaonan Wang, Xiaofang Yuan, Feng Yin:
Hybrid chaos optimization algorithm with artificial emotion. Appl. Math. Comput. 218(11): 6585-6611 (2012) - [j3]Xiaofang Yuan, Yimin Yang, Hui Wang:
Improved parallel chaos optimization algorithm. Appl. Math. Comput. 219(8): 3590-3599 (2012) - [j2]Feng Yin, Yaonan Wang, Yi-min Yang:
Inverse Kinematics Solution for Robot Manipulator based on Neural Network under Joint Subspace. Int. J. Comput. Commun. Control 7(3): 459-472 (2012) - [j1]Yimin Yang, Yaonan Wang, Xiaofang Yuan:
Bidirectional Extreme Learning Machine for Regression Problem and Its Learning Effectiveness. IEEE Trans. Neural Networks Learn. Syst. 23(9): 1498-1505 (2012)
2000 – 2009
- 2009
- [c1]Yi-min Yang, Min-fang Peng, Hai-tao Hong, Yue-hua Yuan:
Optimal Design of Grounding Grids Based on Genetic Algorithm. WGEC 2009: 129-132
Coauthor Index
Akilan Thangarajah
aka: Thangarajah Akilan
aka: Thangarajah Akilan
Q. M. Jonathan Wu
aka: Qingming Jonathan Wu
aka: Qingming Jonathan Wu
[j71] [j69] [j67] [j65] [j64] [j63] [j61] [j60] [j58] [j57] [j56] [j55] [j53] [j52] [j50] [j49] [j48] [j46] [j45] [j44] [j42] [j41] [j39] [j38] [j37] [i5] [i4] [j36] [j35] [j33] [j32] [j31] [j30] [j29] [i3] [j28] [j27] [j25] [j24] [j23] [j22] [j21] [j20] [j19] [j18] [j17] [i2] [c5] [c4] [c3] [j16] [j15] [j13] [j11] [i1]
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