Yiu Ming CHEUNG

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Yiu Ming CHEUNG, Prof

 https://orcid.org/0000-0001-7629-4648

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.

20002023

Research activity per year

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Search results

  • Conference contribution

    Classifying g-protein coupled receptors with hydropathy blocks and support vector machines

    Zhao, X. M., Huang, D. S., Zhang, S. & CHEUNG, Y. M., 2006, Computational Intelligence and Bioinformatics International Conference on Intelligent Computing, ICIC 2006, Proceedings. Springer Verlag, p. 593-602 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 4115 LNBI -III).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    1 Citation (Scopus)

  • Clustering of SNP data with application to genomics

    NG, K. P., Li, M. J., Ao, S. I., Sham, P. C., CHEUNG, Y. M. & Huang, J. Z., 2006, Proceedings - ICDM Workshops 2006 - 6th IEEE International Conference on Data Mining - Workshops. IEEE, p. 158-162 5 p. 4063617. (Proceedings - IEEE International Conference on Data Mining, ICDM).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    7 Citations (Scopus)

  • Constructing weighted networks based on EEG data segmentation for brain wave pattern recognition

    Zhang, H. L., Li, X., LIU, J. & CHEUNG, Y. M., 8 Jun 2018, Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018. IEEE, p. 852-855 4 p. (Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    1 Citation (Scopus)

  • Cooperation Controlled Competitive Learning approach for data clustering

    Li, T., Pei, W. J., Wang, S. P. & CHEUNG, Y. M., 2008, Proceedings - 2008 International Conference on Computational Intelligence and Security, CIS 2008. p. 24-29 6 p. 4724608. (Proceedings - 2008 International Conference on Computational Intelligence and Security, CIS 2008; vol. 1).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    2 Citations (Scopus)

  • Co-operative Prediction Strategy for Solving Dynamic Multi-Objective Optimization Problems

    Zhao, Z., Gu, F. & CHEUNG, Y. M., Jul 2020, 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. IEEE, 9185721. (2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    Open Access

  • Cross-Graph Attention Enhanced Multi-Modal Correlation Learning for Fine-Grained Image-Text Retrieval

    He, Y., Liu, X., Cheung, Y., Peng, S-J., Yi, J. & Fan, W., 11 Jul 2021, SIGIR '21: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), p. 1865-1869 5 p.

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    Open Access
    1 Citation (Scopus)

  • Data hiding on 3D meshes based on dither modulation

    Wu, H. T., CHEUNG, Y. M. & Wang, Y., 2006, 2006 World Automation Congress, WAC'06. IEEE Computer Society, 4259852. (2006 World Automation Congress, WAC'06).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    1 Citation (Scopus)

  • Discretizing numerical attributes in decision tree for big data analysis

    Zhang, Y. & CHEUNG, Y. M., 26 Jan 2015, Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014. Zhou, Z-H., Wang, W., Kumar, R., Toivonen, H., Pei, J., Zhexue Huang, J. & Wu, X. (eds.). January ed. IEEE Computer Society, p. 1150-1157 8 p. 7022725. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2015-January, no. January).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    10 Citations (Scopus)

  • Discrimination of Patchoulis of different geographical origins with two-dimensional IR correlation spectroscopy and wavelet transform

    Zhan, D., Sun, S. & CHEUNG, Y. M., 2005, Computational Intelligence and Security - International Conference, CIS 2005, Proceedings. p. 965-972 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3801 LNAI).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    2 Citations (Scopus)

  • Dual auto-regressive modelling approach to Gaussian process identification

    CHEUNG, Y. M., 2001, Proceedings - IEEE International Conference on Multimedia and Expo. IEEE Computer Society, p. 1053-1056 4 p. 1237906. (Proceedings - IEEE International Conference on Multimedia and Expo).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    5 Citations (Scopus)

  • Dynamic weighted majority for incremental learning of imbalanced data streams with concept drift?

    Lu, Y., CHEUNG, Y. M. & Tang, Y. Y., Aug 2017, Proceedings of the 26th International Joint Conference on Artificial Intelligence, IJCAI 2017. Sierra, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 2393-2399 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 0).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    Open Access
    33 Citations (Scopus)

  • Efficient generalized conditional gradient with gradient sliding for composite optimization

    CHEUNG, Y. M. & Lou, J., Jul 2015, IJCAI 2015 - Proceedings of the 24th International Joint Conference on Artificial Intelligence. Wooldridge, M. & Yang, Q. (eds.). International Joint Conferences on Artificial Intelligence, p. 3409-3415 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2015-January).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    Open Access
    3 Citations (Scopus)

  • Efficient Online Label Consistent Hashing for Large-scale Cross-modal Retrieval

    Yi, J., Liu, X., Cheung, Y., Xu, X., Fan, W. & He, Y., 5 Jul 2021, 2021 IEEE International Conference on Multimedia and Expo (ICME). IEEE, p. 1-6 6 p. (IEEE International Conference on Multimedia and Expo (ICME)).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    9 Citations (Scopus)

  • Efficient single image dehazing via scene-adaptive segmentation and improved dark channel model

    Zhang, H., Liu, X. & CHEUNG, Y. M., 31 Oct 2016, 2016 International Joint Conference on Neural Networks, IJCNN 2016. IEEE, p. 3440-3445 6 p. 7727640. (Proceedings of the International Joint Conference on Neural Networks; vol. 2016-October).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    2 Citations (Scopus)

  • Expectation-MiniMax Approach to Clustering Analysis

    CHEUNG, Y. M., 18 Jun 2003, Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003: Joint International Conference ICANN/ICONIP 2003 Istanbul, Turkey, June 26–29, 2003 Proceedings. Kaynak, O., Alpaydin, E., Oja, E. & Xu, L. (eds.). 1st ed. Springer Berlin Heidelberg, p. 165-172 8 p. (Lecture Notes in Computer Science; vol. 2714).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Exploiting order information embedded in ordered categories for ordinal data clustering

    Zhang, Y. & CHEUNG, Y. M., 2018, Foundations of Intelligent Systems - 24th International Symposium, ISMIS 2018, Proceedings. Japkowicz, N., Papadopoulos, G. A., Ceci, M., Ras, Z. W. & Liu, J. (eds.). Springer Verlag, p. 247-257 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11177 LNAI).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    5 Citations (Scopus)

  • Facial Structure Guided GAN for Identity-preserved Face Image De-occlusion

    Cheung, Y. M., Li, M. & Zou, R., Aug 2021, ICMR '21: Proceedings of the 2021 International Conference on Multimedia Retrieval. Association for Computing Machinery (ACM), p. 46-54 9 p. (Proceedings of the International Conference on Multimedia Retrieval).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    Open Access

  • Fast semantic preserving hashing for large-scale cross-modal retrieval

    Wang, X., Liu, X., Peng, S., CHEUNG, Y. M., Hu, Z. & Wang, N., Nov 2019, Proceedings - 19th IEEE International Conference on Data Mining, ICDM 2019. Wang, J., Shim, K. & Wu, X. (eds.). IEEE, p. 1348-1353 6 p. 8970950. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2019-November).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    1 Citation (Scopus)

  • Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition

    Shi, Q., CHEUNG, Y. M. & Zhao, Q., 2017, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Proceedings. Ceci, M., Dzeroski, S., Vens, C., Todorovski, L. & Hollmen, J. (eds.). Springer Verlag, p. 564-581 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10534 LNAI).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    6 Citations (Scopus)

  • Feature selection for clustering on high dimensional data

    Zeng, H. & CHEUNG, Y. M., 2008, PRICAI 2008: Trends in Artificial Intelligence - 10th Pacific Rim International Conference on Artificial Intelligence, Proceedings. p. 913-922 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5351 LNAI).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    5 Citations (Scopus)

  • Feature Selection for Local Learning Based Clustering

    Hong, Z. & CHEUNG, Y. M., 2009, 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009. p. 414-425 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5476 LNAI).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    9 Citations (Scopus)

  • Feature weighted kernel clustering with application to medical data analysis

    Jia, H. & CHEUNG, Y. M., 2013, Brain and Health Informatics - International Conference, BHI 2013, Proceedings. p. 496-505 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8211 LNAI).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    3 Citations (Scopus)

  • Feature weighted rival penalized EM for Gaussian mixture clustering: Automatic feature and model selections in a single paradigm

    CHEUNG, Y. M. & Zeng, H., 2006, 2006 International Conference on Computational Intelligence and Security, ICCIAS 2006. IEEE Computer Society, p. 633-638 6 p. 4072166. (2006 International Conference on Computational Intelligence and Security, ICCIAS 2006; vol. 1).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    7 Citations (Scopus)

  • Fingerprint geometric hashing based on binary minutiae cylinder codes

    WANG, Y., Wang, L., CHEUNG, Y. M. & YUEN, P. C., 4 Dec 2014, Proceedings - International Conference on Pattern Recognition. IEEE, p. 690-695 6 p. 6976839. (Proceedings - International Conference on Pattern Recognition).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    7 Citations (Scopus)

  • Generating EEG Graphs Based on PLA for Brain Wave Pattern Recognition

    Zhang, H. L., Zhao, H., CHEUNG, Y. M. & He, J., 28 Sept 2018, 2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings. IEEE, 8477796. (2018 IEEE Congress on Evolutionary Computation, CEC 2018 - Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    4 Citations (Scopus)

  • GOBoost: G-mean optimized boosting framework for class imbalance learning

    Lu, Y., CHEUNG, Y. M. & Tang, Y. Y., 27 Sept 2016, Proceedings of the 2016 12th World Congress on Intelligent Control and Automation, WCICA 2016. IEEE, p. 3149-3154 6 p. 7578792. (Proceedings of the World Congress on Intelligent Control and Automation (WCICA); vol. 2016-September).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    5 Citations (Scopus)

  • Hashing fingerprints for identity de-duplication

    WANG, Y., YUEN, P. C. & CHEUNG, Y. M., 2013, Proceedings of the 2013 IEEE International Workshop on Information Forensics and Security, WIFS 2013. p. 49-54 6 p. 6707793. (Proceedings of the 2013 IEEE International Workshop on Information Forensics and Security, WIFS 2013).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    2 Citations (Scopus)

  • Homography Estimation from the Common Self-Polar Triangle of Separate Ellipses

    Huang, H., Zhang, H. & CHEUNG, Y. M., 9 Dec 2016, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016. IEEE Computer Society, p. 1737-1744 8 p. 7780561. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2016-December).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    10 Citations (Scopus)

  • Hybrid sampling with bagging for class imbalance learning

    Lu, Y., CHEUNG, Y. M. & Tang, Y. Y., 2016, Advances in Knowledge Discovery and Data Mining - 20th Pacific-Asia Conference, PAKDD 2016, Proceedings. Washio, T., Huang, J. Z., Khan, L., Wang, R., Bailey, J. & Dobbie, G. (eds.). Springer Verlag, p. 14-26 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9651).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    23 Citations (Scopus)

  • Improved Spatio-Temporal Convolutional Neural Networks for Traffic Police Gestures Recognition

    Wu, Z., Ma, N., CHEUNG, Y. M., Li, J., He, Q., Yao, Y. & Zhang, G., Nov 2020, Proceedings - 2020 16th International Conference on Computational Intelligence and Security, CIS 2020. IEEE, p. 109-115 7 p. 9407387. (Proceedings - 2020 16th International Conference on Computational Intelligence and Security, CIS 2020).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    Open Access
    1 Citation (Scopus)

  • Iterative dynamic generic learning for single sample face recognition with a contaminated gallery

    Pang, M., Cheung, Y. M., Shi, Q. & Li, M., Jul 2020, 2020 IEEE International Conference on Multimedia and Expo, ICME 2020. IEEE Computer Society, 6 p. 9102792. (Proceedings - IEEE International Conference on Multimedia and Expo; vol. 2020-July).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    Open Access
    1 Citation (Scopus)

  • Iterative feature selection in Gaussian mixture clustering with automatic model selection

    Zeng, H. & CHEUNG, Y. M., 2007, The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings. p. 2277-2282 6 p. 4371313. (IEEE International Conference on Neural Networks - Conference Proceedings).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    2 Citations (Scopus)

  • Joint collaborative representation and discriminative projection for pattern classification

    Li, J., Yuan, H., Lai, L. L. & CHEUNG, Y. M., 5 Dec 2018, Proceedings - 14th International Conference on Computational Intelligence and Security, CIS 2018. IEEE, p. 125-129 5 p. 8564273. (Proceedings - 14th International Conference on Computational Intelligence and Security, CIS 2018).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

  • Kernel fuzzy similarity measure-based spectral clustering for image segmentation

    Yang, Y., Wang, Y. & CHEUNG, Y. M., 2013, Human-Computer Interaction: Towards Intelligent and Implicit Interaction - 15th International Conference, HCI International 2013, Proceedings. PART 5 ed. p. 246-253 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8008 LNCS, no. PART 5).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    Open Access
    5 Citations (Scopus)

  • Kernel learning for local learning based clustering

    Zeng, H. & CHEUNG, Y. M., 2009, Artificial Neural Networks - ICANN 2009 - 19th International Conference, Proceedings. PART 1 ed. p. 10-19 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5768 LNCS, no. PART 1).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    5 Citations (Scopus)

  • K∗-means — A generalized k-means clustering algorithm with unknown cluster number

    CHEUNG, Y. M., 2002, Intelligent Data Engineering and Automated Learning - IDEAL 2002 - 3rd International Conference, Proceedings. Yin, H., Allinson, N., Freeman, R., Keane, J. & Hubbard, S. (eds.). Springer Verlag, p. 307-317 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2412).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    9 Citations (Scopus)

  • Learning Discriminative Joint Embeddings for Efficient Face and Voice Association

    Wang, R., Liu, X., CHEUNG, Y. M., Cheng, K., Wang, N. & Fan, W., 25 Jul 2020, SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. Association for Computing Machinery (ACM), p. 1881-1884 4 p. (SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    5 Citations (Scopus)

  • Lip password-based speaker verification without a priori knowledge of speech language

    CHEUNG, Y. M. & Zhou, Y., 2018, Computational Intelligence and Intelligent Systems - 9th International Symposium, ISICA 2017, Revised Selected Papers. Chen, Z., Li, K., Li, W. & Liu, Y. (eds.). Springer Verlag, p. 461-472 12 p. (Communications in Computer and Information Science; vol. 874).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    1 Citation (Scopus)

  • Long-Tailed Visual Recognition via Gaussian Clouded Logit Adjustment

    Li, M., Cheung, Y. M. & Lu, Y., 18 Jun 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. O’Conner, L. (ed.). New Orleans, LA: IEEE, p. 6929-6938 10 p. (Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    Open Access

  • Map-MRF based LIP segmentation without true segment number

    CHEUNG, Y. M. & Li, M., 2011, ICIP 2011: 2011 18th IEEE International Conference on Image Processing. p. 769-772 4 p. 6116668. (Proceedings - International Conference on Image Processing, ICIP).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    2 Citations (Scopus)

  • Mechanism design for clustering aggregation by selfish systems

    Winoto, P., CHEUNG, Y. M. & LIU, J., 2007, Proceedings of the 7th IEEE International Conference on Data Mining, ICDM 2007. p. 703-708 6 p. 4470314. (Proceedings - IEEE International Conference on Data Mining, ICDM).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    1 Citation (Scopus)

  • Microarray data analysis using rival penalized em algorithm in normal mixture models

    Zhao, X. M., CHEUNG, Y. M. & Huang, D. S., 2005, Proceedings of the 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005. p. 35-38 4 p. (Proceedings of the 2005 IEEE International Workshop on VLSI Design and Video Technology, IWVDVT 2005).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    1 Citation (Scopus)

  • Modeling spatial relations of human body parts for indexing and retrieving close character interactions

    HO, S. L., CHAN, C. P., CHEUNG, Y. M. & YUEN, P. C., 13 Nov 2015, Proceedings - VRST 2015: 21st ACM Symposium on Virtual Reality Software and Technology. Spencer, S. N. (ed.). Association for Computing Machinery (ACM), p. 187-190 4 p. (Proceedings of the ACM Symposium on Virtual Reality Software and Technology, VRST; vol. 13-15-November-2015).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    Open Access
    3 Citations (Scopus)

  • Multi-view latent space learning based on local discriminant embedding

    Zhao, Y., You, X., Wei, Y., Yin, S., Tao, D. & CHEUNG, Y. M., 13 Jul 2017, Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016. IEEE, p. 225-230 6 p. 7979910. (Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    3 Citations (Scopus)

  • Multi-view manifold learning for media interestingness prediction

    LIU, Y., Gu, Z., CHEUNG, Y. M. & Hua, K. A., 6 Jun 2017, ICMR 2017 - Proceedings of the 2017 ACM International Conference on Multimedia Retrieval. Association for Computing Machinery (ACM), p. 308-314 7 p. (ICMR 2017 - Proceedings of the 2017 ACM International Conference on Multimedia Retrieval).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    Open Access
    14 Citations (Scopus)

  • Off-line text-independent writer identification using a mixture of global and local features

    CHEUNG, Y. M. & Deng, J., 2011, Proceedings - 2011 7th International Conference on Computational Intelligence and Security, CIS 2011. p. 1524-1527 4 p. 6128381. (Proceedings - 2011 7th International Conference on Computational Intelligence and Security, CIS 2011).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    3 Citations (Scopus)

  • On convergence rate of a class of genetic algorithms

    Ming, L., Wang, Y. & CHEUNG, Y. M., 2006, 2006 World Automation Congress, WAC'06. IEEE Computer Society, 4259967. (2006 World Automation Congress, WAC'06).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    15 Citations (Scopus)

  • Online group feature selection

    Wang, J., Zhao, Z. Q., Hu, X., CHEUNG, Y. M., Wang, M. & Wu, X., 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. AAAI press, p. 1757-1763 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    32 Citations (Scopus)

  • Online learning towards big data analysis in health informatics

    Wang, J., Zhao, Z. Q., Hu, X., CHEUNG, Y. M., HU, H. & Gu, F., 2013, Brain and Health Informatics - International Conference, BHI 2013, Proceedings. p. 516-523 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8211 LNAI).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    1 Citation (Scopus)

  • Online objective reduction for many-objective optimization problems

    CHEUNG, Y. M. & Gu, F., 16 Sept 2014, Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014. IEEE, p. 1165-1171 7 p. 6900548. (Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014).

    Research output: Chapter in book/report/conference proceeding › Conference contribution › peer-review

    11 Citations (Scopus)