Yiu Ming CHEUNG, Prof

Accepting PhD Students

PhD projects

1. Developing Machine Learning Methods for Industrial Big Data Analysis and Traceability of Product Quality Abnormality;

2. Unsupervised Multi-source Domain Adaptation Approach to Deep Classification under a Complex Environment: A Challenging Problem?

3. On Detecting Cross-modal Emotional Inconsistency for Early Screening of Children with Autism Spectrum Disorder;

4. Semi-supervised Classification of Long-tailed Data with Hierarchically Related Labels in a Concept Drift Environment.

20002024

Research activity per year

Search results

  • Conference article

    A supervised correlation analysis for score-level calibration of cross-device fingerprint recognition

    Gu, F., Wang, Y. & Cheung, Y. M., 2014, In: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics. 2014-January, January, p. 1165-1170 6 p., 6974071.

    Research output: Contribution to journalConference articlepeer-review

    1 Citation (Scopus)
  • 1 Citation (Scopus)
  • Conference paper

    A competitive and cooperative learning approach to robust data clustering

    Cheung, Y. M., 2004, p. 131-136. 6 p.

    Research output: Contribution to conferenceConference paperpeer-review

    15 Citations (Scopus)
  • A Divide-and-Conquer Based Radial Basis Function Network with Application to Recurrent Function Modelling

    Huang, R. B., Cheung, Y. M. & Law, L. T., 2003, p. 513-516. 4 p.

    Research output: Contribution to conferenceConference paperpeer-review

    1 Citation (Scopus)
  • A new approach to blind source separation with global optimal property

    Cheung, Y. M. & Liu, H., 2004, p. 137-141. 5 p.

    Research output: Contribution to conferenceConference paperpeer-review

    16 Citations (Scopus)
  • Color Image Segmentation Using Rival Penalized Controlled Competitive Learning

    Law, L. T. & Cheung, Y. M., 2003, p. 108-112. 5 p.

    Research output: Contribution to conferenceConference paperpeer-review

    37 Citations (Scopus)
  • Proximal average approximated incremental gradient method for composite penalty regularized empirical risk minimization

    Cheung, Y. M. & Lou, J., 2015, p. 205-220. 16 p.

    Research output: Contribution to conferenceConference paperpeer-review

  • Rival penalized Self-Organizing Map

    Law, L. T. & Cheung, Y. M., 2004, p. 142-145. 4 p.

    Research output: Contribution to conferenceConference paperpeer-review

    1 Citation (Scopus)
  • Conference proceeding

    A batch rival penalized em algorithm for gaussian mixture clustering with automatic model selection

    Zhang, D. & CHEUNG, Y. M., 2007, Rough Sets and Knowledge Technology - Second International Conference, RSKT 2007, Proceedings. Springer Verlag, p. 252-259 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4481 LNAI).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    1 Citation (Scopus)
  • A bi-objective model for shelf space allocation using a hybrid genetic algorithm

    Liang, C., CHEUNG, Y. M. & Wang, Y., 2007, The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings. p. 2460-2465 6 p. 4371344. (IEEE International Conference on Neural Networks - Conference Proceedings).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    3 Citations (Scopus)
  • A Branch Elimination-based Efficient Algorithm for Large-scale Multiple Longest Common Subsequence Problem (Extended Abstract)

    Wei, S., Wang, Y. & Cheung, Y., 9 May 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE). IEEE, p. 1485-1486 2 p. (IEEE International Conference on Data Engineering (ICDE)).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

  • A cooperative and penalized competitive learning approach to gaussian mixture clustering

    CHEUNG, Y. M. & Jia, H., 2010, Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings. PART 3 ed. p. 435-440 6 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6354 LNCS, no. PART 3).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

  • Active contours with a novel distribution metric for complex object segmentation

    Peng, S. J., Liu, X. & CHEUNG, Y. M., 2011, ICIP 2011: 2011 18th IEEE International Conference on Image Processing. p. 3345-3348 4 p. 6116389. (Proceedings - International Conference on Image Processing, ICIP).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    2 Citations (Scopus)
  • A data mapping method for steganography and its application to images

    Wu, H. T., Dugelay, J. L. & CHEUNG, Y. M., 2008, Information Hiding - 10th International Workshop, IH 2008, Revised Selected Papers. Springer Verlag, p. 236-250 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5284 LNCS).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    22 Citations (Scopus)
  • A direct search algorithm based on kernel density estimator for nonlinear optimization

    CHEUNG, Y. M. & Gu, F., 2014, 2014 10th International Conference on Natural Computation, ICNC 2014. IEEE, p. 297-302 6 p. 6975851. (2014 10th International Conference on Natural Computation, ICNC 2014).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    1 Citation (Scopus)
  • A Divide-And-Conquer Fast Implementation of Radial Basis Function Networks with Application to Time Series Forecasting

    Hunag, R. B., Cheung, Y. M. & Law, L. T., Apr 2003, Advances in Data Mining and Modeling: Advances in Data Mining and Modeling, Hong Kong, 27 – 28 June 2002. Ching, W. K. & Ng, M. K. P. (eds.). Singapore: World Scientific Publishing Co. Pte Ltd, p. 97-106 10 p.

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

  • A dynamically switched crossover for genetic algorithms

    Ming, L., Cheung, Y. M. & Wang, Y. P., 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics. p. 3254-3257 4 p. (Proceedings of 2004 International Conference on Machine Learning and Cybernetics; vol. 5).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    3 Citations (Scopus)
  • A fast hierarchical clustering approach based on partition and merging scheme

    Zhang, Y. & Cheung, Y. M., 8 Jun 2018, Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018. IEEE, p. 846-851 6 p. (Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    3 Citations (Scopus)
  • A Fast Implementation of Radial Basis Function Networks with Application to Time Series Forecasting

    Huang, R. B. & Cheung, Y. M., 29 Jul 2003, Intelligent Data Engineering and Automated Learning: 4th International Conference, IDEAL 2003 Hong Kong, China, March 21–23, 2003 Revised Papers. Liu, J., Cheung, Y. & Yin, H. (eds.). 1st ed. Berlin, Heidelberg: Springer, p. 143-150 8 p. (Lecture Notes in Computer Science; vol. 2690)(International Conference on Intelligent Data Engineering and Automated Learning).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    1 Citation (Scopus)
  • A fast objective reduction algorithm based on dominance structure for many objective optimization

    Gu, F., Liu, H. L. & CHEUNG, Y. M., 2017, Simulated Evolution and Learning - 11th International Conference, SEAL 2017, Proceedings. Li, X., Zhang, M., Zhang, Q., Middendorf, M., Tan, K. C., Tan, Y., Jin, Y., Shi, Y. & Tang, K. (eds.). Springer Verlag, p. 260-271 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10593 LNCS).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    6 Citations (Scopus)
  • A fragile watermarking scheme for 3D meshes

    Wu, H. T. & Cheung, Y. M., 2006, Proceedings of the 7th Multimedia and Security Workshop 2005, MM and Sec'05. p. 117-123 7 p. (Proceedings of the 7th Multimedia and Security Workshop 2005, MM and Sec'05; vol. 2006).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    37 Citations (Scopus)
  • A high-capacity data hiding method for polygonal meshes

    Wu, H. T. & CHEUNG, Y. M., 2007, Information Hiding - 8th International Workshop, IH 2006, Revised Selected Papers. Springer Verlag, p. 188-200 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4437 LNCS).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    12 Citations (Scopus)
  • A hypersphere method for plant leaves classification

    Zhang, G. J., Wang, X. F., Huang, D. S., Chi, Z., Cheung, Y. M., Du, J. X. & Wan, Y. Y., 2004, 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004. p. 165-168 4 p. (2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    16 Citations (Scopus)
  • A Learning Framework for Blind Source Separation Using Generalized Eigenvalues

    Liu, H. & Cheung, Y. M., 4 May 2005, Advances in Neural Networks - ISNN 2005: Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part II. Wang, J., Liao, X-F. & Yi, Z. (eds.). 1st ed. Berlin, Heidelberg: Springer, p. 472-477 6 p. (Lecture Notes in Computer Science; vol. 3497)(Theoretical Computer Science and General Issues)(ISNN: International Symposium on Neural Networks).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    4 Citations (Scopus)
  • A lip contour extraction method using localized active contour model with automatic parameter selection

    Liu, X., CHEUNG, Y. M., Li, M. & Liu, H., 2010, Proceedings - 2010 20th International Conference on Pattern Recognition, ICPR 2010. p. 4332-4335 4 p. 5597771. (Proceedings - International Conference on Pattern Recognition).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    32 Citations (Scopus)
  • A locally Gaussian mixture based RBF network for classification of Chinese herbal infrared spectrum fingerprint

    Wang, T. & CHEUNG, Y. M., 2009, CIS 2009 - 2009 International Conference on Computational Intelligence and Security. p. 381-385 5 p. 5376527. (CIS 2009 - 2009 International Conference on Computational Intelligence and Security; vol. 1).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

  • A maximum weighted likelihood approach to simultaneous model selection and feature weighting in gaussian mixture

    CHEUNG, Y. M. & Zeng, H., 2007, Artificial Neural Networks - ICANN 2007 - 17th International Conference, Proceedings. PART 1 ed. Springer Verlag, p. 78-87 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4668 LNCS, no. PART 1).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    3 Citations (Scopus)
  • A multi-boosted HMM approach to lip password based speaker verification

    Liu, X. & CHEUNG, Y. M., 2012, 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings. p. 2197-2200 4 p. 6288349. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    4 Citations (Scopus)
  • An adaptive image watermarking scheme using non-separable wavelets and support vector regression

    Du, L., You, X. & CHEUNG, Y. M., 2008, Intelligent Data Engineering and Automated Learning - IDEAL 2008 - 9th International Conference, Proceedings. Springer Verlag, p. 473-482 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5326 LNCS).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    3 Citations (Scopus)
  • An evolutionary algorithm based on decomposition for multimodal optimization problems

    Gu, F., CHEUNG, Y. M. & Luo, J., 10 Sept 2015, 2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings. IEEE, p. 1091-1097 7 p. 7257011. (2015 IEEE Congress on Evolutionary Computation, CEC 2015 - Proceedings).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
    9 Citations (Scopus)
  • An Evolutionary Algorithm for TD-LTE Resource Allocation Based on Adaptive Fairness Threshold

    Wang, Q., Liu, H. L., Li, Z. H., Cheung, Y. M. & Zhang, J., 11 Nov 2014, Simulated Evolution and Learning: 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings. Dick, G., Browne, W. N., Whigham, P., Zhang, M., Bui, L. T., Ishibuchi, H., Jin, Y., Li, X., Shi, Y., Singh, P., Tan, K. C. & Tang, K. (eds.). 1st ed. Springer Cham, p. 713-722 10 p. (Lecture Notes in Computer Science; vol. 8886)(Theoretical Computer Science and General Issues)(SEAL: International Conference on Simulated Evolution and Learning).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    2 Citations (Scopus)
  • A New Adaptive Hybrid Algorithm for Large-Scale Global Optimization

    Fan, N., Wang, Y., Liu, J. & CHEUNG, Y. M., 26 Jun 2019, Advances in Neural Networks – ISNN 2019 - 16th International Symposium on Neural Networks, ISNN 2019, Proceedings. Lu, H., Tang, H. & Wang, Z. (eds.). Springer Verlag, p. 299-308 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11554 LNCS).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
  • A new blind separation approach to Ill-condition mixed sources

    Liu, H. & Cheung, Y. M., 2005, Proceedings of the 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005. p. 39-42 4 p. (Proceedings of the 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

  • A new distance metric for unsupervised learning of categorical data

    Jia, H. & CHEUNG, Y. M., 3 Sept 2014, Proceedings of the International Joint Conference on Neural Networks. IEEE, p. 1893-1899 7 p. 6889890. (Proceedings of the International Joint Conference on Neural Networks).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    2 Citations (Scopus)
  • A new fragile mesh watermarking algorithm for authentication

    Wu, H. T. & CHEUNG, Y. M., 2005, Security and Privacy in the Age of Ubiquitous Computing - IFIP TC11 20th International Information Security Conference. Qing, S., Okamoto, E., Yoshiura, H. & Sasaki, R. (eds.). Springer New York LLC, p. 509-523 15 p. (IFIP Advances in Information and Communication Technology; vol. 181).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
    3 Citations (Scopus)
  • A New Modified Hybrid Learning Algorithm for Feedforward Neural Networks

    Han, F., Huang, D., Cheung, Y. M. & Huang, G., 2 May 2005, Advances in Neural Networks - ISNN 2005: Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I. Wang, J., Liao, X. & Yi, Z. (eds.). 1st ed. Berlin, Heidelberg: Springer, p. 572-577 6 p. (Lecture Notes in Computer Science)(Theoretical Computer Science and General Issues)(ISNN: International Symposium on Neural Networks).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    10 Citations (Scopus)
  • A new recurrent radial basis function network

    Cheung, Y. M., Nov 2002, Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age . Wang, L., Rajapakse, J. C., Fukushima, K., Lee, S. Y. & Yao, X. (eds.). IEEE, Vol. 2. p. 1032-1036 5 p.

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    4 Citations (Scopus)
  • A new schema theorem for uniform crossover based on ternary representation

    Ming, L., Wang, Y. P. & Cheung, Y. M., 2004, Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04. Palaniswami, M., Krishnamachari, B., Sowmya, A., Challa, S., Palaniswami, M., Krishnamachari, B., Sowmya, A. & Challa, S. (eds.). p. 235-239 5 p. (Proceedings of the 2004 Intelligent Sensors, Sensor Networks and Information Processing Conference, ISSNIP '04).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    3 Citations (Scopus)
  • A new technique for adjusting the learning rate of RPEM algorithm automatically

    Zhao, X. M., Cheung, Y. M., Chen, L. & Aihara, K., 2007, Proceedings of the 12th International Symposium on Artificial Life and Robotics, AROB 12th'07. p. 597-600 4 p. (Proceedings of the 12th International Symposium on Artificial Life and Robotis, AROB 12th'07).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    2 Citations (Scopus)
  • An exemplar-based hidden markov model with discriminative visual features for lipreading

    Liu, X. & CHEUNG, Y. M., 20 Jan 2015, Proceedings - 2014 10th International Conference on Computational Intelligence and Security, CIS 2014. IEEE, p. 90-93 4 p. 7016859. (Proceedings - 2014 10th International Conference on Computational Intelligence and Security, CIS 2014).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
    3 Citations (Scopus)
  • An experimental study: on reducing RBF input dimension by ICA and PCA

    Huang, R. B., Law, L. T. & Cheung, Y. M., Nov 2002, Proceedings of 2002 International Conference on Machine Learning and Cybernetics. IEEE, Vol. 4. p. 1941-1945 5 p. (International Conference on Machine Learning and Cybernetics, ICMLC).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    14 Citations (Scopus)
  • An improved competitive and cooperative learning approach for data clustering

    Wang, S. P., Pei, W. J. & CHEUNG, Y. M., 2007, Proceedings - 2007 International Conference on Computational Intelligence and Security, CIS 2007. p. 320-324 5 p. 4415356. (Proceedings - 2007 International Conference on Computational Intelligence and Security, CIS 2007).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    2 Citations (Scopus)
  • Anonymized distance filter in hamming space

    WANG, Y., Wan, J., CHEUNG, Y. M. & YUEN, P. C., 2016, Biometric Recognition - 11th Chinese Conference, CCBR 2016, Proceedings. Shan, S., You, Z., Zhou, J., Zheng, W., Wang, Y., Sun, Z., Feng, J. & Zhao, Q. (eds.). Springer Verlag, p. 663-671 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9967 LNCS).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

  • An Ordinal Data Clustering Algorithm with Automated Distance Learning

    Zhang, Y. & Cheung, Y., 2 Jun 2020, AAAI 2020 - 34th AAAI Conference on Artificial Intelligence. AAAI press, p. 6869-6876 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 34, no. 4).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
    8 Citations (Scopus)
  • A novel asymptotic deterministic randomness based watermarking scheme

    Wang, K., Pei, W., He, Z. & CHEUNG, Y. M., 2006, Proceedings - 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006. p. 55-58 4 p. 4041665. (Proceedings - 2006 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2006).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    1 Citation (Scopus)
  • A novel automatic lip reading method based on polynomial fitting

    Li, M. & CHEUNG, Y. M., 2010, Active Media Technology - 6th International Conference, AMT 2010, Proceedings. p. 296-305 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6335 LNCS).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    4 Citations (Scopus)
  • A Novel Hybrid GA/SVM System for Protein Sequences Classification

    Zhao, X. M., Huang, D. S., Cheung, Y. M., Wang, H. Q. & Huang, X., 2004, Intelligent Data Engineering and Automated Learning – IDEAL 2004: 5th International Conference, Exeter, UK. August 25-27, 2004. Proceedings. Yang, Z. R., Everson, R. & Yin, H. (eds.). 1st ed. Springer Berlin Heidelberg, p. 11-16 6 p. (Lecture Notes in Computer Science; vol. 3177).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    25 Citations (Scopus)
  • A novel mixed pixels unmixing method for multispectral images

    Han, J. H., Sun, Z. L., Huang, D. S. & CHEUNG, Y. M., 2004, 2004 IEEE International Joint Conference on Neural Networks - Proceedings. p. 2541-2545 5 p. (IEEE International Conference on Neural Networks - Conference Proceedings; vol. 4).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    3 Citations (Scopus)
  • A novel motion based lip feature extraction for lip-reading

    Li, M. & CHEUNG, Y. M., 2008, Proceedings - 2008 International Conference on Computational Intelligence and Security, CIS 2008. p. 361-365 5 p. 4724674. (Proceedings - 2008 International Conference on Computational Intelligence and Security, CIS 2008; vol. 1).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    24 Citations (Scopus)
  • A parallel architecture using discrete wavelet transform for fast ICA implementation

    Huang, R. B., CHEUNG, Y. M. & Zhu, S. M., 2003, Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03. p. 1358-1361 4 p. 1281124. (Proceedings of 2003 International Conference on Neural Networks and Signal Processing, ICNNSP'03; vol. 2).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    2 Citations (Scopus)