Hong Yan

Hong Yan
City University of Hong Kong, Hong Kong
Acting Dean, College of Science and Engineering

Hong Yan received his Ph.D. degree from Yale University. He was professor of imaging science at the University of Sydneyand currently is professor of computer engineering at City University of Hong Kong. He was elected an IAPR fellow for contributions to document image analysis and an IEEE fellow for contributions to image recognition techniques and applications.

Professor Yan's research interests include:

  • Bioinformatics:Biomolecular interactions; Genomic data analysis
  • Image processing:Biomedical imaging; Document imaging
  • Pattern recognition:Clustering and biclustering; Human face recognition and animation

Web Links

Selected Publications

  • 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, 2013. (Open Access: www.nature.com/srep/2013/131004/srep02855/full/srep02855.html)
  • J. Mazgut, P. Tino, M. Boden, and H. Yan, "Dimensionality reduction and topographic mapping of binary tensors," Pattern Analysis and Applications, 2013.
  • B. B. Liu, C. W. Yu, D. Z. Wang, R. C. C. Cheung, and H. Yan, "Design exploration of geometric biclustering for microarray data analysis in data mining," IEEE Trans. on Parallel and Distributed Systems, 2013.
  • B. Min, R. C. C. Cheung, and H. Yan, "A flexible and customizable architecture for the relaxation labeling algorithm," IEEE Trans. on Circuits and Systems, 60(2):106-110, 2013.
  • N. Y. Song and H. Yan, "Autoregressive and iterative hidden Markov models for periodicity detection and solenoid structure recognition in protein sequences," IEEE Journal of Biomedical and Health Informatics, 17(2):436-441, 2013.
  • D. Z. Wang and H. Yan, "A graph spectrum based geometric biclustering algorithm," Journal of Theoretical Biology, 317:200-211, 2013.
  • C. X. Ren, D. Q. Dai, and H. Yan, "Coupled kernel embedding for low resolution face image recognition," IEEE Trans. on Image Processing, 21(8):3770-3783, 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 naive Bayes model with mean shrinkage," IEEE/ACM Trans. on Computational Biology and Bioinformatics, 9(6):1649-1662, 2012.
  • M. Y. Wu, D. Q. Dai, and H. Yan, "PRL-Dock: protein-ligand docking based on hydrogen bond matching and probabilistic relaxation labeling," Proteins: Structure, Function and Bioinformatics, 80:2137-2153, 2012.
  • X. Yang and H. Yan, "Analysis of DNA deformation patterns in nucleosome core particles based on isometric feature mapping and continuous wavelet transform," Chemical Physics Letters, 547:73-81, 2012.
  • W. F. Zhang and H. Yan, "Exon prediction using empirical mode decomposition and Fourier transform of structural profiles of DNA sequences," Pattern Recognition, 45(3):947-955, 2012.
  • P. Tino, H. Y. Zhao, and H. Yan, "Searching for coexpressed genes in three-color cDNA microarray data using a probabilistic model-based Hough transform," IEEE/ACM Trans. on Computational Biology and Bioinformatics, 8(4):1093-1107, 2011.
  • J. Zeng, X. Y. Zhao, X. Q. Cao, and H. Yan, "SCS: Signal, context, and structure features for genome-wide human promoter recognition," IEEE/ACM Trans. on Computational Biology and Bioinformatics, 7(3):550-562, 2011.
  • A. W. C. Liew, N. F. Law, and H. Yan, "Missing value imputation for gene expression data: computational techniques to recovermissing data from available information," Briefings in Bioinformatics, 12(5):498-513, 2011. (Review paper)
  • W. H. Yang, D. Q. Dai, and H. Yan, "Finding correlated biclusters from gene expression data," IEEE Trans. on Knowledge and Data Engineering, 23(4):568-584, 2011.
  • 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. Q. Zhou and H. Yan, "Relationship between periodic dinucleotides and the nucleosome structure revealed by alpha shape modeling," Chemical Physics Letters, 489(4-6):225-228, 2010.
  • W. F. Zhang, D. Q. Dai, and H. Yan, "Framelet kernels with applications to support vector regression and regularization networks," IEEE Trans. on Systems, Man, and Cybernetics, Part B, 40(4): 1128 �1144, 2010.
  • W. F. Zhang, C. C. Liu, and H. Yan, "Clustering of temporal gene expression data by regularized spline regression and an energy based similarity measure," Pattern Recognition, 43:3969-3976, 2010.
  • J. Zeng, S. Zhu, A. W. C. Liew, and H. Yan, "Multiconstrained gene clustering based on generalized projections," BMC Bioinformatics, 11:164.1-164.13, 2010.
  • 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. (Review paper)
  • X. Cao, J. Zeng and H. Yan, "Physical signals for protein-DNA recognition," Physical Biology, 6(3):036012.1-036012-10, 2009.
  • M. 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.
  • H. X. Zhou, L. Du, and H. Yan, "Detection of tandem repeats in DNA sequences based on parametric spectral estimation," IEEE Trans. on Information Technology in Biomedicine, 13(5):747-755, 2009.
  • M. K. Choong, M. Charbit and and H. Yan, "Autoregressive model based missing value estimation for DNA microarray time series data," IEEE Trans. on Information Technology in Biomedicine, 13(1):131-137, 2009.
  • 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. on Medical Imaging, 27(2):237-246, 2008.
  • W. H. Yang, D. Q. Dai and H. Yan, "Feature extraction and uncorrelated discriminant analysis for high-dimensional data," IEEE Trans. on Knowledge and Data Engineering, 20(5):601-614, 2008.
  • X. Q. Cao, J. Zeng and and H. Yan, "Structural property of regulatory elements in human promoters," Physical Review E, 77:041908:1-7, 2008.
  • R. Jiang and H. Yan, "Studies of spectral properties of short genes using the wavelet subspace Hilbertuang transform (WSHHT)," Physica A, 387:4223-4247, 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.
  • H. Zhao and H. Yan, "HoughFeature, a novel method for assessing drug effects in three-color cDNA microarray experiments," BMC Bioinformatics, 8:256, 2007.
  • H. Yan and T. Pham, "Spectral estimation techniques for DNA sequence and microarray data analysis," Current Bioinformatics, 2(2):145-156, 2007.
  • C. C. Liu, D. Q. Dai, and H. Yan, "Local discriminant wavelet packet coordinates for face recognition," Journal of Machine Learning Research, 8:1165-1195, 2007.
  • S. Wu, X. Xie, A. Liew and H. Yan, "Eukaryotic promoter prediction based on relative entropy and positional information," Physical Review E, 75:041908:1-7, 2007.
  • A. Liew, J. Xian, S. Wu, D. Smith, and H. Yan, "Spectral estimation in unevenly sampled space of periodically expressed microarray time series data," BMC Bioinformatics, 8:137:1-19, 2007.
  • L. Du, H. Zhou and H. Yan, "OMWSA: detection of DNA repeats using moving window spectral analysis," Bioinformatics, 23(5):631-633, 2007.
  • X. Xie, S. Wu, K. Lam and H. Yan, "PromoterExplorer: an effective promoter identification method based on the AdaBoost algorithm," Bioinformatics, 22(22):2722-2728, 2006.
  • B. S. Y. Lam and H. Yan, "Subdimension-based similarity measure for DNA microarray data clustering," Physical Review E, 74:041906:1-8, 2006.
  • T. D. Pham, D. Beck, and H. Yan, "Spectral pattern comparison methods for cancer classification based on microarray gene expression data," IEEE Trans. on Circuits and Systems I, 53(11):2425-2430, 2006.
  • X. Gan, A. Liew and H. Yan, "Microarray missing data imputation based on a set theoretic framework and biological knowledge," Nucleic Acids Research, 34(5):1608-1619, 2006.
  • M. Sakalli, K. Lam, and H. Yan, "A faster converging snake algorithm to locate object boundaries," IEEE Trans. on Image Processing, 15(5):1182-1191, 2006.
  • H. Yan, "Efficient matching and retrieval of gene expression time series data based on spectral information," in Lecture Notes in Computer Science, Volume 3482, Osvaldo Gervasi, Marina L. Gavrilova, Vipin Kumar (eds), 357-373, Springer-Verlag GmbH, 2005.
  • L. K. Yeung, L. K. Szeto, A. W. C. Liew and H. Yan, "Dominant spectral component analysis for transcriptional regulations using microarray time-series data," Bioinformatics, 20(5):742-749, 2004.
  • S. Wu, A. W. C. Liew, H. Yan and M. Yang, "Cluster analysis of gene expression data based on self-splitting and merging competitive learning,", IEEE Trans. on Information Technology in Biomedicine, 8(1):5- 15, 2004.
  • H. Yan, "Convergence condition and efficient implementation of the FCT algorithm," IEEE Trans. on Systems, Man and Cybernetics B, 34(1):210-221, 2004.
  • Y. Xiao and H. Yan, "Text extraction in document images based on Delaunay triangulation," Pattern Recognition, 36(3):799-809, 2003.
  • Y. Wu, A. W. C. Liew, H. Yan and M. Yang, "Classification of short human exons and introns based on statistical features," Physical Review E, 67:061916:1-7, 2003.
  • C. Weerasinghe, A. Liew and H. Yan, "Artifact reduction in compressed images based on region homogeneity constraints using projection on to convex sets algorithm," IEEE Trans. on Circuits and Systems for Video Technology, 12(10):891-897, 2002.
  • H. Yan (ed.), Signal Processing for Magnetic Resonance Imaging and Spectroscopy, Marcel Dekkek Inc., 2002.
  • H. Yan, "Human face image processing techniques," International Journal of Image and Graphics, 1(2):197-215, 2001.
  • H. Yan, "Image analysis for digital media applications," IEEE Computer Graphics and Applications, 21(1):18-26, 2001.
  • H. H. Chang and H. Yan, "Analysis of stroke structure of handwritten Chinese characters," IEEE Trans. on Systems, Man and Cybernetics, 29(1):47-61, 1999.
  • K. Lam and H. Yan, "An analytic-to-holistic approach for face recognition based on a single frontal view," IEEE Trans. on Pattern. Analysis and Machine Intelligence, 20(7):673-686, 1998.
  • D. Popescu and H. Yan, "A non-linear model for fractal image coding," IEEE Trans. on Image Processing, 6(3):373-382, 1997.
  • H. Yan, "Unified formulation of a class of optimal image thresholding techniques," Pattern Recognition, 29(12):2025-2032, 1996.
Last updated: October 27, 2013
 
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