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香港城市大学数学系老师教师导师介绍简介-Prof. CHAN Hon Fu Raymond (陳漢夫)

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Prof. CHAN Hon Fu Raymond (陳漢夫)

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Address
CYC-5136
Phone: +852 34422980
Willing to take PhD students: yes
Willing to talk to media: yes

Research Interests/Areas

Raymond Chan graduated with First Class Honors from the Department of Mathematics at The Chinese University of Hong Kong (CUHK) in 1980. Uncertain of what to do next, he stayed in the Department as a full-time instructor after graduation. He then started his graduate study in 1981 with a full fellowship from the Courant Institute of Mathematical Sciences at New York University. He obtained the M.Sc. and Ph.D. degrees in Applied Mathematics there in 1984 and 1985, respectively, under the supervision of Professor Olof Widlund.

Chan began his career as a tenure-track Assistant Professor at the University of Massachusetts at Amherst in 1985. With heart and mind always in Hong Kong, he came back to Hong Kong in 1986, first at The University of Hong Kong (1986-92, tenured) and then at The Hong Kong University of Science and Technology (1993), before joining his Alma Mater (CUHK) in 1993. He was the Associate Director of the Institute of Mathematical Sciences (1996-98), the Associate Dean of Science (2004-09), the Deputy Director of the Hong Kong Bioinformatics Centre (2009-11), and the Head of the Mathematics Department (2012-18). He retired from CUHK in 2019 as an Emeritus Professor to become the founding Dean of the College of Science at City University of Hong Kong (CityU). Since 2021, he is the Vice-President (Student Affairs) there and the co-Director of the Hong Kong Centre for Cerebro-Cardiovascular Health Engineering.

Chan has published 150 journal papers and authored 3 books. His recent book "Financial Mathematics, Derivatives and Structured Products" has been downloaded 60,000 times on SpringerLink since published in 2019. Chan was in the ISI Science Citation List of Top Highly-Cited Mathematicians in the world (2001 List) and was recently ranked in the top 100 in the field of Numerical and Computational Mathematics in the Stanford 2020 study of the world's top 2% scientists.

Chan won a Leslie Fox Prize for Numerical Analysis in 1989 at Cambridge, United Kingdom; a Feng Kang Prize of Scientific Computing in 1997 in Beijing, China; a Morningside Award in 1998 in Beijing, China; and 2011 Higher Education Outstanding Scientific Research Output Awards (First Prize) from the Ministry of Education in China. He was elected a Fellow of the US Society of Industrial and Applied Mathematicians (SIAM) in 2013 and a Fellow of the American Mathematical Society (AMS) in 2021. Chan was the first and only one from an Asian university elected to SIAM Council since SIAM was established in 1952, and he served for two terms from 2015 to 2020. He is now on the SIAM Board of Trustees. Since 2006, he has been the Vice-President of the International Consortium of Chinese Mathematicians (ICCM).

Chan has served on the editorial boards of many journals, including Asian Journal of Mathematics (co-Chief Editor since 1997), Advances in Computational Mathematics (since 2010), Journal of Mathematical Imaging and Vision (since 2014), Journal of Scientific Computing (since 2013), SIAM Journal on Imaging Sciences (from 2007 to 2017), and SIAM Journal on Scientific Computing (from 2000 to 2008). He presented over 190 invited conference talks in more than 20 countries, including plenary talks at SIAM Conference on Applied Linear Algebra and SIAM Conference on Imaging Science. He also reviewed papers for more than 130 different journals.

His wonderful group of graduate students includes Xiaoqing Jin, the Vice-President of East Asia SIAM and former Head of the Mathematics Department at Macau University; Michael Ng, former-Head of Department of Mathematics at the Hong Kong Baptist University, Director of Research at University of Hong Kong, a SIAM Fellow and a Feng Kang Prize Winner; Wai-Ki Ching, former Head of Department of Mathematics at University of Hong Kong; Hai-Wei Sun, Head of Department of Mathematics at University of Macau; Hao-Min Zhou, a Feng Kang Prize Winner, Zheng-Jian Bai, the first prize winner of Applied Numerical Algebra Prize in 2008; and Xiaohao Cai, the first prize winner of EASIAM Student Paper Prize in 2013. 

Prizes/Honours

  1. 2021

  2. AMS Fellow

  3. 2020

  4. Top 2% most highly cited scientists

  5. 2013

  6. SIAM Fellow

  7. 2012

  8. First Class Award (Natural Science) of the 2011 Higher Education Outstanding Scientific Research Output Awards (Science and Technology)

  9. 2004

  10. Fellow, World Innovation Foundation

  11. Highly Cited Researchers in Mathematics, 2004

  12. 1998

  13. Morningside Medal of Mathematics

  14. 1997

  15. Feng Kang Prize of Scientific Computing

  16. 1990

  17. Travelling Fellowship

  18. 1989

  19. IMA Leslie Fox Prize for Numerical Analysis

Projects

  1. Continuous and Direct Close-loop Assessment for OBTL Based Programme and Course Improvement and Management

    YAN, H., CHAN, H. F. R., JIA, X., LI, T. & LO, W. C.

    1/01/21 → …

    Grant type: TDG(CityU)

  2. Novel Computational Methods for Three-dimensional Point Source Localization Based on Point Spread Function Analytics

    CHAN, H. F. R., PLEMMONS, R., PRASAD, S. & WANG, C.

    1/01/21 → …

    Grant type: GRF

  3. Novel Efficient Variational Methods for Imaging Segmentation and Their Applications to Angiography Imaging and Hyperspectral Imaging

    CHAN, H. F. R., CAI, X. & NIKOLOVA, M.

    1/01/19 → …

    Grant type: GRF

  4. Mathematics in the Estimation of Point-spread Functions in Ground-based Astronomy through Turbulence

    CHAN, H. F. R., PLEMMONS, R. & ZHANG, W.

    1/01/17 → 3/06/21

    Grant type: GRF

  5. Efficient Algorithms and Hardware Accelerators for Tensor Decomposition and Their Applications to Multidimensional Data Analysis

    CHAN, H. F. R.

    1/06/16 → 9/11/20

    Grant type: CRF

  6. New theory on portfolio optimization and stochastic dominance with applications

    CHAN, H. F. R., Zhu, L., Bai, Z. & Wong, A. W. K.

    1/09/15 → 31/08/18

    Grant type: GRF

  7. Flexible Two-stage Methodology for Image Segmentation

    CHAN, H. F. R., NIKOLOVA, M. & CAI, X.

    1/01/15 → 30/06/18

    Grant type: GRF

  8. Centre for Organelle Biogenesis and Function

    CHAN, H. F. R. & JIANG, L.

    1/01/14 → …

    Grant type: AoE(UGC)

  9. Liu Bie Ju Centre for Mathematical Sciences (University Fund)

    ZHOU, D., BENSOUSSAN, A., CHAN, H. F. R., DAI, D., DANG, C., FENG, H., HO, W. C. D., LIAN, H., LIU, H., LU, Y. Y., QIU, W., SMALE, S., WANG, J., WYLIE, J. J., ZHOU, X. & ZHUANG, X.

    1/11/97 → …

    Grant type: ResCtrs

Research Output

  1. 2021

  2. Regularization with multilevel non-stationary tight framelets for image restoration

    Li, Y., Chan, R. H. F., Shen, L. & Zhuang, X., Jul 2021, In: Applied and Computational Harmonic Analysis. 53, p. 332-348
    Scopus citations2 Check@CityULib

  3. Deep Tensor CCA for Multi-view Learning

    Wong, H. S., Wang, L., Chan, R. & Zeng, T., 11 May 2021, (Online published) In: IEEE Transactions on Big Data.
    Scopus citations1 Check@CityULib

  4. Dynamic spectral residual superpixels

    Zhang, J., Aviles-Rivero, A. I., Heydecker, D., Zhuang, X., Chan, R. & Schönlieb, C., Apr 2021, In: Pattern Recognition. 112, 107705.
    Check@CityULib

  5. A NEW INITIALIZATION METHOD BASED ON NORMED STATISTICAL SPACES IN DEEP NETWORKS

    YANG, H., DING, X., CHAN, R., HU, H., PENG, Y. & ZENG, T., Feb 2021, In: Inverse Problems and Imaging. 15, 1, p. 147-158
    Scopus citations1 Check@CityULib

  6. Probabilistic Semi-Supervised Learning via Sparse Graph Structure Learning

    Wang, L., Chan, R. & Zeng, T., Feb 2021, In: IEEE Transactions on Neural Networks and Learning Systems. 32, 2, p. 853-867 9063663.
    Scopus citations1 Check@CityULib

  7. A New Initialization Method for Neural Networks with Weight Sharing

    Ding, X., Yang, H., Chan, R. H., Hu, H., Peng, Y. & Zeng, T., 2021, Mathematical Methods in Image Processing and Inverse Problems, IPIP 2018. Tai, X., Wei, S. & Liu, H. (eds.). Springer Nature Singapore Pte Ltd., p. 165-179 (Springer Proceedings in Mathematics and Statistics; vol. 360).
    Check@CityULib
  8. 2020

  9. A two-stage method for spectral–spatial classification of hyperspectral images

    Chan, R. H., Kan, K. K., Nikolova, M. & Plemmons, R. J., Jul 2020, In: Journal of Mathematical Imaging and Vision. 62, 6-7, p. 790–807 18 p.
    Scopus citations6 Check@CityULib

  10. New development on the third-order stochastic dominance for risk-averse and risk-seeking investors with application in risk management

    Chan, R. H., Clark, E., Guo, X. & Wong, W., Jun 2020, In: Risk Management. 22, 2, p. 108-132
    Scopus citations8 Check@CityULib

  11. Reconstruction of the high resolution phase in a closed loop adaptive optics system

    Ke, R., Wagner, R., Ramlau, R. & Chan, R., 2020, In: SIAM Journal on Imaging Sciences. 13, 2, p. 775-806
    Check@CityULib
  12. 2019

  13. Truncated Fractional-Order Total Variation Model for Image Restoration

    Chan, R. H. & Liang, H., Dec 2019, In: Journal of the Operations Research Society of China. 7, 4, p. 561-578
    Scopus citations2 Check@CityULib

  14. A Non-convex Nonseparable Approach to Single-Molecule Localization Microscopy

    Chan, R. H., Lazzaro, D., Morigi, S. & Sgallari, F., Jun 2019, Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings. Lellmann, J., Burger, M. & Modersitzki, J. (eds.). Springer, Cham, Vol. 11603 LNCS. p. 498-509 12 p. (Lecture Notes in Computer Scienc; vol. 11603).
    Scopus citations1 Check@CityULib

  15. Mean–variance, mean–VaR, and mean–CVaR models for portfolio selection with background risk

    Guo, X., Chan, R. H., Wong, W. & Zhu, L., Jun 2019, In: Risk Management. 21, 2, p. 73–98
    Scopus citations23 Check@CityULib

  16. Financial Mathematics, Derivatives and Structured Products

    Chan, R. H., Guo, Y. Z., Lee, S. T. & Li, X., 28 Feb 2019, Singapore: Springer Nature Singapore Pte Ltd. 395 p.
    Check@CityULib

  17. Nonconvex optimization for 3-dimensional point source localization using a rotating point spread function

    Wang, C., Chan, R., Nikolova, M., Plemmons, R. & Prasad, S., Jan 2019, In: SIAM Journal on Imaging Sciences. 12, 1, p. 259-286 28 p.
    Scopus citations4 Check@CityULib

  18. A Nuclear-Norm Model for Multi-Frame Super-Resolution Reconstruction from Video Clips

    Zhao, R. & Chan, R. H., 2019, Structured Matrices in Numerical Linear Algebra: Analysis, Algorithms and Applications. Bini, D. A., Benedetto, F. D., Tyrtyshnikov, E. & Barel, M. V. (eds.). Springer Nature Switzerland AG, p. 303-322 (Springer INdAM Series; vol. 30).
    Check@CityULib

  19. Computation of Implementation Shortfall for Algorithmic Trading by Sequence Alignment

    Chan, R., Kan, K. & Ma, A., 2019, In: The Journal of Financial Data Science. 1, 3, p. 88-97
    Check@CityULib

  20. Linkage Between Piecewise Constant Mumford-Shah Model and ROF Model and Its Virtue in Image Segmentation

    CAI, X., CHAN, R., SCHONLIEB, C., STEIDL, G. & ZENG, T., 2019, In: SIAM Journal on Scientific Computing. 41, 6, p. B1310-B1340
    Scopus citations7 Check@CityULib
  21. 2018

  22. Using generalized cross validation to select regularization parameter for total variation regularization problems

    Wen, Y. & Chan, R. H., Oct 2018, In: Inverse Problems and Imaging. 12, 5, p. 1103-1120
    Scopus citations7 Check@CityULib
  23.  

    Discovery of microRNA-like RNAs during early fruiting body development in the model mushroom Coprinopsis cinerea

    Lau, A. Y. T., Cheng, X., Cheng, C. K., Nong, W., Cheung, M. K., Chan, R. H., Hui, J. H. L. & 1 others, , 19 Sep 2018, In: PLoS ONE. 13, 9, e0198234.
    Scopus citations11
    Article has an altmetric score of 3
    Check@CityULib
  24.  

    A convex model for edge-histogram specification with applications to edge-preserving smoothing

    Chan, K. C. K., Chan, R. H. & Nikolova, M., Sep 2018, In: Axioms. 7, 3, 53.
相关话题/数学

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