Tensor Computing and Multidimensional Data Analysis
This page shows our selected research papers on tensor computing and multidimensional data analysis, published after 2007/2008.

Patents

  • W. Q. Zhou and H. Yan, "Methods for modeling and analysis of interface between point patterns," United States Patent, Number 10,475,528, 2019.
  • H. Yan, L. Chan, H. Chim, H. Ching, and C. Choi, "Monitoring user activity using wearable motion sensing device," United States Patent, Number 10,347,108, 2019.
  • L. Chen, Z. Zhao, and H. Yan, "Method for tracking an object in an image sequence," United States Patent, Number 10,255,692, 2019.
  • X. Gan, A. Liew, and H. Yan, "Representation and extraction of biclusters from data arrays," United States Patent, Number 7,849,088, 2010.
  • H. Yan, "Curve tracing system," United States Patent, Number 7,263,538, 2007.

Tensor and Hypergraph Models

  • S. Khan, M. Nawaz, G. Xu, and H. Yan, "Image correspondence with CUR decomposition based graph completion and matching," IEEE Trans. Circuits and Systems for Video Technology, in press, 2020.
  • L. Ou-Yang, X. Zhang, and H. Yan, "Sparse regularized low-rank tensor regression with applications in genomic data analysis," Pattern Recognition, in press, 2020.
  • H. Zhu, C. Cui, L. Deng, R. C. C. Cheung, and H. Yan, "Elastic net constraint-based tensor model for high-order graph matching," IEEE Trans. Cybernetics, in press, 2020.
  • J. Chang, Y. Chen, L. Qi, and H. Yan, "Hypergraph clustering using a new laplacian tensor with applications in image processing," SIAM Journal on Imaging Sciences, in press, 2020.
  • M. Che, Y. Wei, and H. Yan, "The computation of low multilinear rank approximations of tensors via power scheme and random projection," SIAM Journal on Matrix Analysis and Applications, 41(2):605-636, 2020.
  • W. Ding, J. Liu, L. Qi, and H. Yan, "Elasticity M-tensors and the strong ellipticity condition," Applied Mathematics and Computation, 373:124982:1-11, 2020.
  • J. Liu, Z. Wu, L. Xiao, J. Sun, and H. Yan, "Generalized tensor regression for hyperspectral image classification," IEEE Trans. Geoscience and Remote Sensing, 58(2):1244-1258, 2020.
  • M. Nawaz, S. Khan, R. Qureshi, and H. Yan, "Clustering based one-to-one hypergraph matching with a large number of feature points," Signal Processing: Image Communication, 74:289-298, 2019.
  • Y. Y. Wang, C. Cui, L. Qi, H. Yan, and X. Zhao, "DrPOCS: Drug repositioning based on projection onto convex sets," IEEE/ACM Trans. Computational Biology and Bioinformatics, 16(1):154-162, 2019.
  • H. Kuang, C. Liu, L. Chen, L.L.H. Chan, Ray C.C.Cheung, and H. Yan, "Feature selection based on tensor decomposition and object proposals for nighttime multi-class vehicle detection," IEEE Trans. SMC: Systems, 49(1):71-80, 2019.
  • G. Xu, S. Khan, H. Zhu, L. Han, M. K. Ng, and H. Yan, "Discriminative tracking via supervised tensor learning," Neurocomputing, 315:33-47, 2018.
  • T. D. Pham and H. Yan, "Tensor decomposition of gait dynamics in Parkinson's disease," IEEE Trans. Biomedical Engineering, 65(8):1820-1827, 2018.
  • C. Cui, Q. Li, L. Qi, H. Yan "A quadratic penalty method for hypergraph matching," Journal of Global Optimization, 70(1):237-259, 2018.
  • L. Sun, B. Zheng, J. Zhou, H. Yan "Some inequalities for the Hadamard product of tensors," Linear and Multilinear Algebra, 66(6):1199-1214, 2018.
  • J. Chang, W. Ding, L. Qi, H. Yan "Computing the p-spectral radii of uniform hypergraphs with applications," Journal of Scientific Computing, 75(1):1-25, 2018.
  • J. Mazgut, P. Tino, M. Boden, and H. Yan, "Dimensionality reduction and topographic mapping of binary tensors," Pattern Analysis and Applications, 17(3):497-515, 2014.

Co-clustering

  • S. Khan, L. Chen, and H. Yan, "Co-clustering to reveal salient facial features for expression recognition," IEEE Trans. Affective Computing, 11(2):348-360, 2020.
  • L. Zhao, V. H. F. Kee, M. K. Ng, H. Yan, and M. F. Bijlsma, "Molecular subtyping of cancer: current status and moving toward clinical applications," Briefings in Bioinformatics, 20(2):572-584, 2019.
  • H. Yan, "Co-clustering of multidimensional big data, a useful tool for genomic, financial and other data analysis," IEEE Systems, Man and Cybernetics Magazine, 3(2):23-30, 2017.
  • H. Zhao, D. D. Wang, L. Chen, X. Liu, and H. Yan, "Identifying multi-dimensional co-clusters in tensors based on hyperplane detection in singular vector spaces," PLOS ONE, 11(9):e0162293:1-27, 2016.
  • Z. Sun, L. Han, W. Huang, X. Wang, X. Zeng, M. Wang, and H. Yan, "Recommender systems based on social networks," Journal of Systems and Software, 99:109-119, 2015.
  • F. Meng, C. Cai, and H. Yan, "A bicluster-based Bayesian principal component analysis method for microarray missing value estimation," IEEE J. Biomedical and Health Informatics, 18(3):863-871, 2014.
  • W. H. Yang, D. Q. Dai, and H. Yan, "Finding correlated biclusters from gene expression data," IEEE Trans. Knowledge and Data Engineering, 23(4):568-584, 2011.
  • P. Tino, H. Zhao, and H. Yan, "Searching for co-expressed genes in three-color cDNA microarray data using a probabilistic model based the Hough transform," IEEE/ACM Trans. Computational Biology and Bioinformatics, 8(4):1093-1107, 2011.
  • H. Zhao, K. L. Chan, L. M. Cheng, and H. Yan, "A probabilistic relaxation labeling framework for reducing the noise effect in geometric biclustering of gene expression data," Pattern Recognition, 42(11):2578-2588, 2009.
  • H. Li and H. Yan, "Bicluster analysis of currency exchange rates," in Soft Computing Applications in Business, B. Prasad (ed.), 19-34, Springer-Verlag, 2008.
  • H. Zhao, A. W. C. Liew, X. Xie, and H. Yan, "A new geometric biclustering algorithm based on the Hough transform for analysis of large-scale microarray data," Journal of Theoretical Biology, 251(3):264-274, 2008.
  • X. Gan, A. W. C. Liew, and H. Yan, "Discovering biclusters in gene expression data based on high-dimensional linear geometries," BMC Bioinformatics, 9:209:1-15, 2008.

Hardware Accelerators

  • B. Min, W. P. Huang, R. C. C. Cheung, and H. Yan, "A high performance hardware architecture for non-negative tensor factorization," Microelectronics Journal, 85:25-33, 2019.
  • W. P. Huang, P. K. Kwan, W. Ding, B. Min, R. C. C. Cheung, L. Qi, and H. Yan, "High performance hardware architecture for singular spectrum analysis of Hankel tensors," Microprocessors and Microsystems, 64:120-127, 2019.
  • B. Liu, C. Wai, D. Wang, R. Cheung, and H. Yan, "Design exploration of geometric biclustering for microarray data analysis in data mining," IEEE Trans. Parallel and Distributed Systems, 2540-2550, 2014.
  • B. Liu, Y. Xin, R. C. C. Cheung, and H. Yan, "GPU-based biclustering for microarray data analysis in neurocomputing," Neurocomputing, 134:239-246, 2014.
  • B. Min, R. C. C. Cheung, and H. Yan, "A flexible and customizable architecture for the relaxation labeling algorithm," IEEE Trans. Circuits and Systems II, 60(2):106-110, 2013.

Machine Learning Algorithms

  • Y. W. Luo, C. X. Ren, D. Q. Dai, and H. Yan, "Unsupervised domain adaptation via discriminative manifold propagation," IEEE Trans. Pattern Analysis & Machine Intelligence, in press, 2020.
  • D. D. Wang, M. Zhu, and H. Yan, "Computationally predicting binding affinity in protein-ligand complexes: free energy-based simulations and machine learning-based scoring functions," Briefings in Bioinformatics, in press, 2020.
  • J. Liu, Z. Wu, L, Xiao, and H. Yan, "Learning multiple parameters for kernel collaborative representation classification," IEEE Trans. Neural Networks and Learning Systems, in press, 2020.
  • X. Zhe, S. Chen, and H. Yan, "Deep class-wise hashing: semantics-preserving hashing via class-wise loss," IEEE Trans. Neural Networks and Learning Systems, 31(5): 1681-1695, 2020.
  • M. Zhang, S. Khan, and H. Yan, "Deep eigen-filters for face recognition: Feature representation via unsupervised multi-structure filter learning," Pattern Recognition, 100:107176:1-14, 2020.
  • X. Zhe, S. Chen, and H. Yan, "Directional statistics-based deep metric learning for image classification and retrieval," Pattern Recognition, 93:113-123, 2019.
  • S. Khan, G. Xu, R. Chan, H. Yan, "An online spatio-temporal tensor learning model for visual tracking and its applications to facial expression recognition," Expert Systems with Applications, 90:427-438, 2017.
  • H. Monkaresi, R. Calvo, and H. Yan, "A machine learning approach to improve contactless heart rate monitoring using a webcam," IEEE Journal of Biomedical and Health Informatics, 18(4):1153-1160, 2014.
  • C. X. Ren, D. Q. Dai, and H. Yan, "Robust classification using l(2,1)-norm based regression model," Pattern Recognition, 45:2708-2718, 2012.
  • W. H. Yang, D. Q. Dai, and H. Yan, "Feature extraction and uncorrelated discriminant analysis for high-dimensional data," IEEE Trans. Knowledge and Data Engineering, 20(5):601-614, 2008.

Multidimensional Data Analysis in Imaging, Biology, and Medicine

  • J. Cao, G. Guan, V. W. S. Ho, M. K. Wong, L. Y. Chan, C.Tang, Z. Y. Zhao, and H. Yan, "Establishment of morphological atlas of Caenorhabditis elegans embryo using deep-learning-based 4D segmentation," Nature Communications, accepted, 2020.
  • M. Nawaz and H. Yan, "Saliency detection using deep features and affinity-based robust background subtraction," IEEE Transaction on Multimedia, in press, 2020.
  • C. X. Ren, P. Ge, D. Q. Dai, and H. Yan, "Learning kernel for conditional moment-matching discrepancy-based image classification," IEEE Trans. Cybernetics, in press, 2020.
  • C. X. Ren, Y. W. Luo, X. L. Xu, D. Q. Dai, and H. Yan, "Discriminative residual analysis for image set classification with posture and age variations," IEEE Trans. Image Processing, 29:2875-2888, 2020.
  • B. S. Y. Lam, A. M. Y. Chu, and H. Yan, "Statistical bootstrap-based principal mode component analysis for dynamic background subtraction," Pattern Recognition, 100:107153:1-13, 2020.
  • L. Zhao, H. Zhao, and H. Yan, "Gene expression profiling of 1200 pancreatic ductal adenocarcinoma reveals novel subtypes," BMC Cancer, 18:603:1-13, 2018.
  • X. Zhang, L. Ou-Yang, S. Yang, X. Hu, and H. Yan, "DiffGraph: An R package for identifying gene network rewiring using differential graphical models," Bioinformatics, 34(9):1571-1573, 2018.
  • B. Zou, V. H. F. Lee, and H. Yan, "Prediction of sensitivity to gefitinib/erlotinib for EGFR mutations in NSCLC based on structural interaction fingerprints and multilinear principal component analysis," BMC Bioinformatics, 19:88:1-13, 2018.
  • H. Kung, C. Liu, L. L. H. Chan, and H. Yan, "Multi-class fruit detection based on image region selection and improved object proposals," Neurocomputing, 283:241-255, 2018.
  • H. Kuang, K. F. Yang, L. Chen, Y. J. Li, L. L. H. Chan, and H. Yan, "Bayes saliency-based object proposal generator for nighttime traffic images," IEEE Trans. Intelligent Transportation Systems, 19(3):814-825, 2018.
  • H. Kuang, X. Zhang, Y. J. Li, L. L. H. Chan, and H. Yan, "Nighttime vehicle detection based on bio-inspired image enhancement and weighted score-level feature fusion," IEEE Trans. Intelligent Transportation Systems, 18(4):927-936, 2017.
  • H. Kung, F. Gu, J. Chen, L. L. H. Chan, and H. Yan, "Combining region of interest extraction and image enhancement for nighttime vehicle detection," IEEE Intelligent Systems, 31(3):57-65, 2016.
  • X. Zhang, L. Ou-Yang, and H. Yan, "Incorporating prior information into differential network analysis using non-paranormal graphical models," Bioinformatics, 33(16):2436-2445, 2017.
  • L. Chen, X. Mao, and H. Yan, "Text-independent phoneme segmentation combining egg and speech data," IEEE/ACM Trans. Audio, Speech, and Language Processing, 24(6):1029-1037, 2016.
  • C. X. Ren, D. Dai, X. He, and H. Yan, "Sample weighting: an inherent approach for outlier suppressing discriminant analysis," IEEE Trans. Knowledge and Data Engineering, 11(27):3070-3083, 2015.
  • D. D. Wang, W. Zhou, H. Yan, M. Wong, and V. Lee, "Personalized prediction of EGFR mutation-induced drug resistance in lung cancer," Scientific Reports, 3:2855:1-8, 2013.
  • W. Zhou and H. Yan, "Alpha shape and Delaunay triangulation in studies of protein-related interactions," Briefings in Bioinformatics, 15(1):54-64, 2012.
  • M. Y. Wu, D. Q. Dai, Y. Shi, H. Yan, and X. F. Zhang, "Biomarker identification and cancer classification based on microarray data using Laplace naïve Bayes model with mean shrinkage," IEEE/ACM Trans. Computational Biology and Bioinformatics, 9(6):1649-1662, 2012.
  • C. X. Ren, D. Q. Dai, and H. Yan, "Coupled kernel embedding for low resolution face image recognition," IEEE Trans. Image Processing, 21(8):3770-3783, 2012.
  • A. Amin and H. Yan, "High speed detection of retinal blood vessels in fundus image using phase congruency," Soft Computing, 15(6):1217-1230, 2011.
  • A. W. C. Liew, N. F. Law, and H. Yan, "Missing value imputation for gene expression data: computational techniques to recover missing data from available information," Briefings in Bioinformatics, 12(5):498-513, 2010.
  • W. Q. Zhou and H. Yan, "A discriminatory function for prediction of protein-DNA interactions based on alpha shape modeling," Bioinformatics, 26(20):2541-2548, 2010.
  • W. F. Zhang, D. Q. Dai, and H. Yan, "Framelet kernels with applications to support vector regression and regularization networks," IEEE Trans. Systems, Man, and Cybernetics B, 40(4):1128-1144, 2010.
  • H. X. Zhou, L. Du, and H. Yan, "Detection of tandem repeats in DNA sequences based on parametric spectral estimation," IEEE Trans. Information Technology in Biomedicine, 13(5):747-755, 2009.
  • J. Zeng, S. Zhu, and H. Yan, "Towards accurate human promoter recognition: A review of currently used sequence features and classification methods," Briefings in Bioinformatics, 10(5):498-508, 2009.
  • Z. Hu, G. Wang, X. Lin, and H. Yan, "Recovery of upper body poses in static images based on joints detection," Pattern Recognition Letters, 30(5):503-512, 2009.
  • A. Amin and H. Yan, "An empirical study on the characteristics of Gabor representations for face recognition," International Journal of Pattern Recognition and Artificial Intelligence, 23(3):401-431, 2009.
  • Z. Hu, H. Yan, and X. Lin, "Clothing segmentation using foreground and background estimation based on the constrained Delaunay triangulation," Pattern Recognition, 41(5):1581-1592, 2008.
  • B. S. Y. Lam and H. Yan, "A novel vessel segmentation algorithm for pathological retinal images based on the divergence of vector fields," IEEE Trans. Medical Imaging, 27(2):237-246, 2008.