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

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Search results

  • Conference proceeding

    A ranking-based evolutionary algorithm for constrained optimization problems

    Hu, Y., CHEUNG, Y. M. & Wang, Y., 2007, Proceedings - Third International Conference on Natural Computation, ICNC 2007. p. 198-202 5 p. 4344669. (Proceedings - Third International Conference on Natural Computation, ICNC 2007; vol. 4).

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

    2 Citations (Scopus)
  • ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification

    Li, S., Song, L., Wu, X., Hu, Z., Cheung, Y. M. & Yao, X., 16 Sept 2023, Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18–22, 2023, Proceedings, Part II. Koutra, D., Plant, C., Gomez Rodriguez, M., Baralis, E. & Bonchi, F. (eds.). 1st ed. Springer Cham, p. 103-120 18 p. (Lecture Notes in Computer Science; vol. 14170)(Lecture Notes in Artificial Intelligence)(ECML PKDD: Joint European Conference on Machine Learning and Knowledge Discovery in Databases).

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

  • A renewable energy cooperation scheme for OFDM systems using evolutionary many-objective optimization algorithm

    Wang, Q., Liu, H. L. & Cheung, Y. M., 17 Jan 2017, Proceedings - 12th International Conference on Computational Intelligence and Security, CIS 2016. IEEE, p. 194-197 4 p. 7820444. (Proceedings - 12th International Conference on Computational Intelligence and Security, CIS 2016).

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

    5 Citations (Scopus)
  • A reversible data hiding approach to mesh authentication

    Wu, H. T. & CHEUNG, Y. M., 2005, Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005. p. 774-777 4 p. 1517952. (Proceedings - 2005 IEEE/WIC/ACM InternationalConference on Web Intelligence, WI 2005; vol. 2005).

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

    49 Citations (Scopus)
  • A rival penalized EM algorithm towards maximizing weighted likelihood for density mixture clustering with automatic model selection

    CHEUNG, Y. M., 2004, Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004. Kittler, J., Petrou, M. & Nixon, M. (eds.). p. 633-636 4 p. (Proceedings - International Conference on Pattern Recognition; vol. 4).

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

    10 Citations (Scopus)
  • A robust lip tracking algorithm using localized color active contours and deformable models

    Liu, X. & CHEUNG, Y. M., 2011, 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings. p. 1197-1200 4 p. 5946624. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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

    7 Citations (Scopus)
  • A Scoring Model Assisted by Frequency for Multi-Document Summarization

    Yu, Y., Wu, M., Su, W. & CHEUNG, Y., 7 Sept 2021, Artificial Neural Networks and Machine Learning – ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part V. Farkaš, I., Masulli, P., Otte, S. & Wermter, S. (eds.). 1st ed. Springer Cham, p. 309-320 12 p. (Lecture Notes in Computer Science; vol. 12895)(Theoretical Computer Science and General Issues ; vol. 12895)(ICANN: International Conference on Artificial Neural Networks).

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

  • A Symmetric Points Search and Variable Grouping Method for Large-scale Multi-objective Optimization

    Tang, D., Wang, Y., Wu, X. & Cheung, Y. M., Jul 2020, 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings. IEEE, 9185876. (2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings).

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

    Open Access
    8 Citations (Scopus)
  • Audio-visual speaker recognition via multi-modal correlated neural networks

    Geng, J., Liu, X. & Cheung, Y. M., 11 Jan 2017, Proceedings - 2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops, WIW 2016. IEEE, p. 123-128 6 p. 7814493. (Proceedings - 2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops, WIW 2016).

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

    13 Citations (Scopus)
  • A unified metric for categorical and numerical attributes in data clustering

    CHEUNG, Y. M. & Jia, H., 2013, Advances in Knowledge Discovery and Data Mining - 17th Pacific-Asia Conference, PAKDD 2013, Proceedings. PART 2 ed. p. 135-146 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7819 LNAI, no. PART 2).

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

    11 Citations (Scopus)
  • Automatic segmentation of color lip images based on morphological filter

    Li, M. & CHEUNG, Y. M., 2010, Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings. PART 1 ed. p. 384-387 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6352 LNCS, no. PART 1).

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

    8 Citations (Scopus)
  • Bark texture feature extraction based on statistical texture analysis

    Wan, Y. Y., Du, J. X., Huang, D. S., Chi, Z., Cheung, Y. M., Wang, X. F. & Zhang, G. J., 2004, 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004. p. 482-485 4 p. (2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004).

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

    34 Citations (Scopus)
  • BEDCOE: Borderline Enhanced Disjunct Cluster Based Oversampling Ensemble for Online Multi-Class Imbalance Learning

    Li, S., Song, L., Cheung, Y. M. & Yao, X., 30 Sept 2023, ECAI 2023 - 26th European Conference on Artificial Intelligence, including 12th Conference on Prestigious Applications of Intelligent Systems, PAIS 2023 - Proceedings. Gal, K., Nowé, A., Nalepa, G. J., Fairstein, R. & Rădulescu, R. (eds.). IOS Press BV, p. 1414-1421 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 372).

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

    Open Access
  • Bilinear probabilistic canonical correlation analysis via hybrid concatenations

    Zhou, Y., Lu, H. & Cheung, Y. M., 11 Feb 2017, 31st AAAI Conference on Artificial Intelligence, AAAI 2017. AAAI press, p. 2949-2955 7 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 31, no. 1).

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

    Open Access
    5 Citations (Scopus)
  • Camera calibration based on the common self-polar triangle of sphere images

    Huang, H., Zhang, H. & CHEUNG, Y. M., 2015, Computer Vision - ACCV 2014 - 12th Asian Conference on Computer Vision, Revised Selected Papers. Yang, M-H., Saito, H., Cremers, D. & Reid, I. (eds.). Springer Verlag, p. 19-29 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9004).

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

    5 Citations (Scopus)
  • 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 proceedingConference proceedingpeer-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 proceedingConference proceedingpeer-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 proceedingConference proceedingpeer-review

    2 Citations (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 proceedingConference proceedingpeer-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 proceedingConference proceedingpeer-review

    Open Access
    1 Citation (Scopus)
  • Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors

    Pang, M., Wang, B., Chen, S., Cheung, Y., Zou, R. & Huang, W., 17 Oct 2022, CIKM '22: Proceedings of the 31st ACM International Conference on Information & Knowledge Management. Association for Computing Machinery (ACM), p. 4369-4373 5 p.

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

  • 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 proceedingConference proceedingpeer-review

    11 Citations (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 proceedingConference proceedingpeer-review

    1 Citation (Scopus)
  • Detach and Enhance: Learning Disentangled Cross-modal Latent Representation for Efficient Face-Voice Association and Matching

    Yu, Z., Liu, X., Cheung, Y., Zhu, M., Xu, X., Wang, N. & Li, T., 28 Nov 2022, 2022 IEEE International Conference on Data Mining (ICDM). IEEE, p. 648-655 8 p. (IEEE International Conference on Data Mining (ICDM)).

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

  • 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 proceedingConference proceedingpeer-review

    11 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 proceedingConference proceedingpeer-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 proceedingConference proceedingpeer-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 proceedingConference proceedingpeer-review

    Open Access
    47 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 proceedingConference proceedingpeer-review

    Open Access
    4 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 2021. IEEE, p. 1-6 6 p. (Proceedings - IEEE International Conference on Multimedia and Expo (ICME)).

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

    14 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 proceedingConference proceedingpeer-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 proceedingConference proceedingpeer-review

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

    Zhang, Y. & Cheung, Y. M., 7 Oct 2018, Foundations of Intelligent Systems: 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings. Ceci, M., Japkowicz, N., Liu, J., Papadopoulos, G. A. & Raś, Z. W. (eds.). 1st ed. Cham: Springer, p. 247-257 11 p. (Lecture Notes in Computer Science; vol. 11177)(Lecture Notes in Artificial Intelligence)(ISMIS: International Symposium on Methodologies for Intelligent Systems).

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

    7 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 proceedingConference proceedingpeer-review

    Open Access
    3 Citations (Scopus)
  • 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 proceedingConference proceedingpeer-review

    1 Citation (Scopus)
  • Feature-Balanced Loss for Long-Tailed Visual Recognition

    Li, M., Cheung, Y. & Jiang, J., 18 Jul 2022, 2022 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 6 p. (IEEE International Conference on Multimedia and Expo (ICME)).

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

    4 Citations (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 proceedingConference proceedingpeer-review

    7 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 proceedingConference proceedingpeer-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 proceedingConference proceedingpeer-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 proceedingConference proceedingpeer-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., 3 Nov 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 proceedingConference proceedingpeer-review

    7 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., 21 Aug 2007, Computational Intelligence and Security: International Conference, CIS 2006, Guangzhou, China, November 3-6, 2006, Revised Selected Papers. Wang, Y., Cheung, Y. & Liu, H. (eds.). 1st ed. Berlin, Heidelberg: Springer, p. 1018-1028 11 p. (Lecture Notes in Computer Science; vol. 4456)(Lecture Notes in Artificial Intelligence)(CIS: International Conference on Computational and Information Science).

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

  • FEDIC: Federated Learning on Non-IID and Long-tailed Data via Calibrated Distillation

    Shang, X., Lu, Y., Cheung, Y. & Wang, H., 18 Jul 2022, 2022 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 6 p. (IEEE International Conference on Multimedia and Expo (ICME)).

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

    7 Citations (Scopus)
  • Few-Shot Lip-Password Based Speaker Verification

    Hu, Z., Cheung, Y. M., Li, M. & Lan, W., 8 Oct 2023, 2023 IEEE International Conference on Image Processing, ICIP 2023 - Proceedings. 1st ed. IEEE Computer Society, p. 1960-1964 5 p. (Proceedings - International Conference on Image Processing, ICIP).

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

  • 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 proceedingConference proceedingpeer-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 proceedingConference proceedingpeer-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 proceedingConference proceedingpeer-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 proceedingConference proceedingpeer-review

    2 Citations (Scopus)
  • Hearing like Seeing: Improving Voice-Face Interactions and Associations via Adversarial Deep Semantic Matching Network

    Cheng, K., Liu, X., Cheung, Y., Wang, R., Xu, X. & Zhong, B., 20 Oct 2020, MM '20: Proceedings of the 28th ACM International Conference on Multimedia. Association for Computing Machinery (ACM), p. 448-455 8 p. (Proceedings of ACM International Conference on Multimedia).

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

    8 Citations (Scopus)
  • Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering

    Zhang, Y., Cheung, Y. & Zeng, A., 23 Jul 2022, Proceedings of the 31st International Joint Conference on Artificial Intelligence, IJCAI 2022. De Raedt, L. (ed.). International Joint Conferences on Artificial Intelligence, p. 3758-3765 8 p. (IJCAI International Joint Conference on Artificial Intelligence).

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

    Open Access
    3 Citations (Scopus)