Hujun Yin

Hujun Yin, David A. Clifton: Introduction. Int. J. Neural Syst. 22(5) (2012)

Weilin Huang, Hujun Yin: On nonlinear dimensionality reduction for face recognition. Image Vision Comput. 30(4-5): 355-366 (2012)

Zareen Mehboob, Hujun Yin, Sophie M. Wuerger, Laura M. Parkes: Multivoxel Pattern Analysis Using Information-Preserving EMD. IDEAL 2012: 19-26

Jing Huo, Yang Gao, Wanqi Yang, Hujun Yin: Abnormal Event Detection via Multi-Instance Dictionary Learning. IDEAL 2012: 76-83

Hujun Yin, José Alfredo Ferreira Costa, Guilherme De A. Barreto (Eds.): Intelligent Data Engineering and Automated Learning - IDEAL 2012 - 13th International Conference, Natal, Brazil, August 29-31, 2012. Proceedings. Lecture Notes in Computer Science 7435, Springer 2012, isbn 978-3-642-32638-7

Zareen Mehboob, Hujun Yin: Information Quantification of Empirical Mode Decomposition and Applications to Field Potentials. Int. J. Neural Syst. 21(1): 49-63 (2011)

Bruno Baruque, Emilio Corchado, Hujun Yin: The S²-Ensemble Fusion Algorithm. Int. J. Neural Syst. 21(6): 505-525 (2011)

Hujun Yin: Introduction. Int. J. Neural Syst. 21(6) (2011)

Aftab Khan, Hujun Yin: Spectral Non-gaussianity for Blind Image Deblurring. IDEAL 2011: 144-151

James Burnstone, Hujun Yin: Eigenlights: Recovering Illumination from Face Images. IDEAL 2011: 490-497

Hujun Yin, Wenjia Wang, Victor J. Rayward-Smith (Eds.): Intelligent Data Engineering and Automated Learning - IDEAL 2011 - 12th International Conference, Norwich, UK, September 7-9, 2011. Proceedings. Lecture Notes in Computer Science 6936, Springer 2011, isbn 978-3-642-23877-2

Hujun Yin, Weilin Huang: Adaptive nonlinear manifolds and their applications to pattern recognition. Inf. Sci. 180(14): 2649-2662 (2010)

Weilin Huang, Hujun Yin: A dissimilarity kernel with local features for robust facial recognition. ICIP 2010: 3785-3788

Zareen Mehboob, Hujun Yin: Neural Data Analysis and Reduction Using Improved Framework of Information-Preserving EMD. IDEAL 2010: 360-367

José Alfredo F. Costa, Hujun Yin: Gradient-based SOM clustering and visualisation methods. IJCNN 2010: 1-8

Colin Fyfe, Peter Tiño, Darryl Charles, Cesar García-Osorio, Hujun Yin (Eds.): Intelligent Data Engineering and Automated Learning - IDEAL 2010, 11th International Conference, Paisley, UK, September 1-3, 2010. Proceedings. Lecture Notes in Computer Science 6283, Springer 2010, isbn 978-3-642-15380-8

He Ni, Hujun Yin: Exchange rate prediction using hybrid neural networks and trading indicators. Neurocomputing 72(13-15): 2815-2823 (2009)

He Ni, Hujun Yin: A self-organising mixture autoregressive network for FX time series modelling and prediction. Neurocomputing 72(16-18): 3529-3537 (2009)

Hujun Yin, He Ni: Generalized Self-Organizing Mixture Autoregressive Model for Modeling Financial Time Series. ICANN (1) 2009: 577-586

Clark Chen, Yang-seok Choi, Nageen Himayat, Minnie Ho, Vladimir Kravtsov, Guangjie Li, Qinghua Li, Yuval Lomnitz, Hongmei Sun, Hua Yang, Shilpa Talwar, Hujun Yin, Hongming Zheng, Shanshan Zheng: Multi-user MIMO and adaptive frequency reuse for next-generation mobile broadband networks. ICASSP 2009: 3617-3620

Weilin Huang, Hujun Yin: Linear and nonlinear dimensionality reduction for face recognition. ICIP 2009: 3337-3340

Zareen Mehboob, Hujun Yin: Information Preserving Empirical Mode Decomposition for Filtering Field Potentials. IDEAL 2009: 226-233

Weilin Huang, Hujun Yin: Nonlinear Dimensionality Reduction for Face Recognition. IDEAL 2009: 424-432

Weilin Huang, Hujun Yin: ViSOM for Dimensionality Reduction in Face Recognition. WSOM 2009: 107-115

Hujun Yin, He Ni: Generalized Self-Organizing Mixture Autoregressive Model. WSOM 2009: 353-361

Emilio Corchado, Hujun Yin (Eds.): Intelligent Data Engineering and Automated Learning - IDEAL 2009, 10th International Conference, Burgos, Spain, September 23-26, 2009. Proceedings. Lecture Notes in Computer Science 5788, Springer 2009, isbn 978-3-642-04393-2

He Ni, Hujun Yin: Self-Organising Mixture autoregressive Model for Non-Stationary Time Series Modelling. Int. J. Neural Syst. 18(6): 469-480 (2008)

John A. Keane, Hujun Yin, Victor J. Rayward-Smith: Special Issue Arising from the IDEAL 2007 Conference. J. Math. Model. Algorithms 7(4): 327-328 (2008)

Shireen Mohd Zaki, Hujun Yin: A Semi-Supervised Learning Algorithm for Growing Neural Gas in Face Recognition. J. Math. Model. Algorithms 7(4): 425-435 (2008)

Hujun Yin: On multidimensional scaling and the embedding of self-organising maps. Neural Networks 21(2-3): 160-169 (2008)

Hujun Yin: Nonlinear Principal Manifolds - Adaptive Hybrid Learning Approaches. HAIS 2008: 15-29

Zareen Mehboob, Hujun Yin: Analysis of Non-stationary Neurobiological Signals Using Empirical Mode Decomposition. HAIS 2008: 714-721

Hujun Yin, Stefano Panzeri, Zareen Mehboob, Mathew E. Diamond: Decoding Population Neuronal Responses by Topological Clustering. ICANN (2) 2008: 547-556

Shireen Mohd Zaki, Hujun Yin: Semi-supervised Growing Neural Gas for Face Recognition. IDEAL 2008: 525-532

Zareen Mehboob, Stefano Panzeri, Mathew E. Diamond, Hujun Yin: Topological clustering of synchronous spike trains. IJCNN 2008: 3889-3894

Hujun Yin: The Self-Organizing Maps: Background, Theories, Extensions and Applications. Computational Intelligence: A Compendium 2008: 715-762

Colin Fyfe, Dongsup Kim, Soo-Young Lee, Hujun Yin (Eds.): Intelligent Data Engineering and Automated Learning - IDEAL 2008, 9th International Conference, Daejeon, South Korea, November 2-5, 2008, Proceedings. Lecture Notes in Computer Science 5326, Springer 2008, isbn 978-3-540-88905-2

Emilio Corchado, Bruno Baruque, Hujun Yin: Boosting Unsupervised Competitive Learning Ensembles. ICANN (1) 2007: 339-348

Lei A. Clifton, Hujun Yin, David A. Clifton, Yang Zhang: Combined Support Vector Novelty Detection for Multi-channel Combustion Data. ICNSC 2007: 495-500

Bruno Baruque, Emilio Corchado, Hujun Yin: Quality of Adaptation of Fusion ViSOM. IDEAL 2007: 728-738

He Ni, Hujun Yin: Time-Series Prediction Using Self-Organising Mixture Autoregressive Network. IDEAL 2007: 1000-1009

Hujun Yin: Connection between Self-Organizing Maps and Metric Multidimensional Scaling. IJCNN 2007: 1025-1030

Bruno Baruque, Emilio Corchado, Hujun Yin: ViSOM Ensembles for Visualization and Classification. IWANN 2007: 235-243

Bruno Baruque, Emilio Corchado, Hujun Yin, Jordi Rovira, Javier González: Automated Ham Quality Classification Using Ensemble Unsupervised Mapping Models. KES (2) 2007: 435-443

Hujun Yin, Peter Tiño, Emilio Corchado, William Byrne, Xin Yao (Eds.): Intelligent Data Engineering and Automated Learning - IDEAL 2007, 8th International Conference, Birmingham, UK, December 16-19, 2007, Proceedings. Lecture Notes in Computer Science 4881, Springer 2007, isbn 978-3-540-77225-5

Hujun Yin: Special Issue on Adaptive Learning Algorithms. J. Math. Model. Algorithms 5(4): 395-396 (2006)

Thomas McLaughlin, Jennifer A. Siepen, Julian N. Selley, Jennifer A. Lynch, King Wai Lau, Hujun Yin, Simon J. Gaskell, Simon J. Hubbard: PepSeeker: a database of proteome peptide identifications for investigating fragmentation patterns. Nucleic Acids Research 34(Database-Issue): 649-654 (2006)

Hujun Yin: On the equivalence between kernel self-organising maps and self-organising mixture density networks. Neural Networks 19(6-7): 780-784 (2006)

Yi Wang, Hujun Yin, Li-Zhu Zhou, Zhi-Qiang Liu: Real-Time Synthesis of 3D Animations by Learning Parametric Gaussians Using Self-Organizing Mixture Networks. ICONIP (2) 2006: 671-678

Hujun Yin, Israr Hussain: ICA and Genetic Algorithms for Blind Signal and Image Deconvolution and Deblurring. IDEAL 2006: 595-603

He Ni, Hujun Yin: Recurrent Self-Organising Maps and Local Support Vector Machine Models for Exchange Rate Prediction. ISNN (2) 2006: 504-511

Lei A. Clifton, Hujun Yin, Yang Zhang: Support Vector Machine in Novelty Detection for Multi-channel Combustion Data. ISNN (2) 2006: 836-843

Emilio Corchado, Hujun Yin, Vicente J. Botti, Colin Fyfe (Eds.): Intelligent Data Engineering and Automated Learning - IDEAL 2006, 7th International Conference, Burgos, Spain, September 20-23, 2006, Proceedings. Lecture Notes in Computer Science 4224, Springer 2006, isbn 3-540-45485-3

Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin (Eds.): Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part I. Lecture Notes in Computer Science 3971, Springer 2006, isbn 3-540-34439-X

Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin (Eds.): Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part II. Lecture Notes in Computer Science 3972, Springer 2006, isbn 3-540-34437-3

Jun Wang, Zhang Yi, Jacek M. Zurada, Bao-Liang Lu, Hujun Yin (Eds.): Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 - June 1, 2006, Proceedings, Part III. Lecture Notes in Computer Science 3973, Springer 2006, isbn 3-540-34482-9

Carla S. Möller-Levet, Frank Klawonn, Kwang-Hyun Cho, Hujun Yin, Olaf Wolkenhauer: Clustering of unevenly sampled gene expression time-series data. Fuzzy Sets and Systems 152(1): 49-66 (2005)

Carla S. Möller-Levet, Hujun Yin: Modeling and analysis of gene expression time-series based on co-expression. Int. J. Neural Syst. 15(4): 311-322 (2005)

Richard T. Freeman, Hujun Yin: Tree view self-organisation of web content. Neurocomputing 63: 415-446 (2005)

Richard T. Freeman, Hujun Yin: Web content management by self-organization. IEEE Transactions on Neural Networks 16(5): 1256-1268 (2005)

Bicheng Li, Hujun Yin: Face Recognition Based on Support Vector Machine Fusion and Wavelet Transform. CIS (2) 2005: 764-771

Carla S. Möller-Levet, Hujun Yin: Circular SOM for Temporal Characterisation of Modelled Gene Expressions. IDEAL 2005: 319-326

Bicheng Li, Hujun Yin: Face Recognition Using RBF Neural Networks and Wavelet Transform. ISNN (2) 2005: 105-111

Yue Hao, Jiming Liu, Yuping Wang, Yiu-ming Cheung, Hujun Yin, Licheng Jiao, Jianfeng Ma, Yong-Chang Jiao (Eds.): Computational Intelligence and Security, International Conference, CIS 2005, Xi'an, China, December 15-19, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3801, Springer 2005, isbn 3-540-30818-0

Yue Hao, Jiming Liu, Yuping Wang, Yiu-ming Cheung, Hujun Yin, Licheng Jiao, Jianfeng Ma, Yong-Chang Jiao (Eds.): Computational Intelligence and Security, International Conference, CIS 2005, Xi'an, China, December 15-19, 2005, Proceedings, Part II. Lecture Notes in Computer Science 3802, Springer 2005, isbn 3-540-30819-9

Richard T. Freeman, Hujun Yin: Adaptive topological tree structure for document organisation and visualisation. Neural Networks 17(8-9): 1255-1271 (2004)

Carla S. Möller-Levet, Hujun Yin: Modelling and Clustering of Gene Expressions Using RBFs and a Shape Similarity Metric. IDEAL 2004: 1-10

Swapna Sarvesvaran, Hujun Yin: Visualisation of Distributions and Clusters Using ViSOMs on Gene Expression Data. IDEAL 2004: 78-84

Richard T. Freeman, Hujun Yin: Topological Tree for Web Organisation, Discovery and Exploration. IDEAL 2004: 478-484

Zheng Rong Yang, Richard M. Everson, Hujun Yin (Eds.): Intelligent Data Engineering and Automated Learning - IDEAL 2004, 5th International Conference, Exeter, UK, August 25-27, 2004, Proceedings. Lecture Notes in Computer Science 3177, Springer 2004, isbn 3-540-22881-0

Hujun Yin: Nonlinear Multidimensional Data Projection and Visualisation. IDEAL 2003: 377-388

Jiming Liu, Yiu-ming Cheung, Hujun Yin (Eds.): Intelligent Data Engineering and Automated Learning, 4th International Conference, IDEAL 2003, Hong Kong, China, March 21-23, 2003, Revised Papers. Lecture Notes in Computer Science 2690, Springer 2003, isbn 3-540-40550-X

Nigel M. Allinson, Hujun Yin, Klaus Obermayer: Introduction: new developments in self-organising maps. Neural Networks 15(8-9): 943- (2002)

Hujun Yin: Data visualisation and manifold mapping using the ViSOM. Neural Networks 15(8-9): 1005-1016 (2002)

Michel Haritopoulos, Hujun Yin, Nigel M. Allinson: Image denoising using self-organizing map-based nonlinear independent component analysis. Neural Networks 15(8-9): 1085-1098 (2002)

Hujun Yin: ViSOM - a novel method for multivariate data projection and structure visualization. IEEE Transactions on Neural Networks 13(1): 237-243 (2002)

Hujun Yin, Hui Liu: Performance of space-division multiple-access (SDMA) with scheduling. IEEE Transactions on Wireless Communications 1(4): 611-618 (2002)

Richard T. Freeman, Hujun Yin: Self-Organising Maps for Hierarchical Tree View Document Clustering Using Contextual Information. IDEAL 2002: 123-128

Ben Russell, Hujun Yin, Nigel M. Allinson: Document Clustering Using the 1 + 1 Dimensional Self-Organising Map. IDEAL 2002: 154-160

Hujun Yin, Nigel M. Allinson, Richard T. Freeman, John A. Keane, Simon J. Hubbard (Eds.): Intelligent Data Engineering and Automated Learning - IDEAL 2002, Third International Conference, Manchester, UK, August 12-14, Proceedings. Lecture Notes in Computer Science 2412, Springer 2002, isbn 3-540-44025-9

Hui Liu, Hujun Yin: Receiver design in multicarrier direct-sequence CDMA communications. IEEE Transactions on Communications 49(8): 1479-1487 (2001)

Hujun Yin, Nigel M. Allinson: Self-organizing mixture networks for probability density estimation. IEEE Transactions on Neural Networks 12(2): 405-411 (2001)

Qingfu Zhang, Hujun Yin, Nigel M. Allinson: A Simplified ICA Based Denoising Method. IJCNN (5) 2000: 479-482

Hujun Yin, Nigel M. Allinson: On the distribution and convergence of feature space in self-organizing maps. Neural Computation 7(6): 1178-1187 (1995)

Hujun Yin, Nigel M. Allinson: Self-Organised Parameter Estimation and Segmentation of MRF Model-Based Texture Images. ICIP (2) 1994: 645-649

Hujun Yin, Nigel M. Allinson: On the Distribution of Feature Space in Self-Organising Mapping and Convergence Accelerating by a Kalman Algorithm. IWANN 1993: 291-296

Hujun Yin, Tong Zhou: Speaker recognition using static and dynamic CEPSTRAL feature by a learning neural network. ICSLP 1990