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;

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

1995 …2025

Research activity per year

Search results

  • Conference proceeding

    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, CIS 2006. IEEE Computer Society, p. 633-638 6 p. (International Conference on Computational Intelligence and Security, CIS).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-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.-M. & 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 proceeding › Conference proceeding › peer-review

  • Federated Clustering with Unknown Number of Clusters

    Zou, R., Zhang, Y., Zhang, Y., Lu, Y., Li, M. & Cheung, Y. M., 16 Aug 2024, 2024 6th International Conference on Data-Driven Optimization of Complex Systems, DOCS 2024. IEEE, p. 671-677 7 p. (International Conference on Data-Driven Optimization of Complex Systems).

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

    2 Citations (Scopus)

  • Federated Learning with Extremely Noisy Clients via Negative Distillation

    Lu, Y., Chen, L., Zhang, Y., Zhang, Y., Han, B., Cheung, Y. M. & Wang, H., 25 Mar 2024, Proceedings of the 38th AAAI Conference on Artificial Intelligence. Wooldridge, M., Dy, J. & Natarajan, S. (eds.). 13 ed. AAAI press, Vol. 38. p. 14184-14192 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 13).

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

    Open Access
    3 Citations (Scopus)

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

    Shang, X., Lu, Y., Cheung, Y.-M. & 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 proceeding › Conference proceeding › peer-review

    31 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 proceeding › Conference proceeding › peer-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 proceeding › Conference proceeding › peer-review

    7 Citations (Scopus)

  • GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting

    Huang, X., Li, R., Cheung, Y.-M., Cheung, K. C., See, S. & Wan, R., Dec 2024, 38th Conference on Neural Information Processing Systems, NeurIPS 2024. Neural Information Processing Systems Foundation, p. 1-24 24 p. (Advances in Neural Information Processing Systems; vol. 37)(NeurIPS Proceedings).

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

    Open Access

  • 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 proceeding › 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 proceeding › 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 proceeding › peer-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.-M., 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 proceeding › Conference proceeding › peer-review

    15 Citations (Scopus)

  • Het2Hom: Representation of Heterogeneous Attributes into Homogeneous Concept Spaces for Categorical-and-Numerical-Attribute Data Clustering

    Zhang, Y., Cheung, Y.-M. & 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 proceeding › Conference proceeding › peer-review

    Open Access
    15 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 proceeding › peer-review

    12 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 proceeding › peer-review

    25 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 proceeding › peer-review

    Open Access
    3 Citations (Scopus)

  • Interpreting and Improving Large Language Models in Arithmetic Calculation

    Zhang, W., Wan, C., Zhang, Y., Cheung, Y.-M., Tian, X., Shen, X. & Ye, J., 21 Jul 2024, Proceedings of the 41st International Conference on Machine Learning, ICML 2024. Salakhutdinov, R., Kolter, Z., Heller, K., Weller, A., Oliver, N., Scarlett, J. & Berkenkamp, F. (eds.). ML Research Press, p. 59932-59950 19 p. (Proceedings of the International Conference on Machine Learning)(Proceedings of Machine Learning Research; vol. 235).

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

    Open Access

  • 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 proceeding › 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 proceeding › 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 proceeding › 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 proceeding › 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 proceeding › peer-review

    5 Citations (Scopus)

  • Key Points Centered Sparse Hashing for Cross-Modal Retrieval

    Hu, Z., Cheung, Y.-M., Li, M., Lan, W. & Zhang, D., 14 Apr 2024, Proceedings of 2024 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024. IEEE, p. 8431-8435 5 p. (Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing).

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

    1 Citation (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 proceeding › peer-review

    10 Citations (Scopus)

  • Label Disambiguation-Based Feature Selection for Partial Multi-label Learning

    Xu, F., Qian, W., Cai, X., Shu, W., Huang, J., Cheung, Y. M. & Ding, W., 4 Dec 2024, Pattern Recognition : 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part VII. Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C.-L., Bhattacharya, S. & Pal, U. (eds.). Springer Cham, p. 265-279 15 p. (Lecture Notes in Computer Science; vol. 15307)(ICPR: International Conference on Pattern Recognition).

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

  • Label-Noise Learning with Intrinsically Long-Tailed Data

    Lu, Y., Zhang, Y., Han, B., Cheung, Y. M. & Wang, H., 2 Oct 2023, Proceedings - 2023 IEEE/CVF International Conference on Computer Vision, ICCV 2023. IEEE, p. 1369-1378 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

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

    12 Citations (Scopus)

  • Label-Semantic-Enhanced Online Hashing for Efficient Cross-modal Retrieval

    Jiang, X., Liu, X., Cheung, Y. M., Xu, X., Zheng, S. & Li, T., 10 Jul 2023, Proceedings - 2023 IEEE International Conference on Multimedia and Expo, ICME 2023. IEEE, p. 984-989 6 p. (Proceedings - IEEE International Conference on Multimedia and Expo; vol. 2023-July).

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

    4 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 proceeding › peer-review

    14 Citations (Scopus)

  • Learning Order Forest for Qualitative-Attribute Data Clustering

    Zhao, M., Feng, S., Zhang, Y., Li, M., Lu, Y. & Cheung, Y.-M., Oct 2024, ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024). Endriss, U., Melo, F. S., Bach, K., Diz, A. J. B., Alonso-Moral, J. M., Barro, S. & Heintz, F. (eds.). IOS Press, p. 1943-1950 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 392).

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

    Open Access

  • 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 proceeding › peer-review

    2 Citations (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 proceeding › peer-review

    Open Access
    73 Citations (Scopus)

  • Long-Tailed Visual Recognition via Self-Heterogeneous Integration with Knowledge Excavation

    Jin, Y., Li, M., Lu, Y., Cheung, Y.-M. & Wang, H., 18 Jun 2023, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. Vancouver, BC, Canada: IEEE, p. 23695-23704 10 p. (Conference on Computer Vision and Pattern Recognition (CVPR)).

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

    Open Access
    33 Citations (Scopus)

  • 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 proceeding › 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 proceeding › 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 proceeding › peer-review

    2 Citations (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 proceeding › peer-review

    Open Access
    3 Citations (Scopus)

  • MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence

    Tian, H., Liu, F., Liu, T., Du, B., Cheung, Y.-M. & Han, B., 21 Jul 2024, Proceedings of 41th International Conference on Machine Learning, ICML 2024. Salakhutdinov, R., Kolter, Z., Heller, K., Weller, A., Oliver, N., Scarlett, J. & Berkenkamp, F. (eds.). ML Research Press, p. 48154-48185 32 p. (Proceedings of the International Conference on Machine Learning)(Proceedings of Machine Learning Research; vol. 235).

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

    Open Access

  • 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 proceeding › peer-review

    4 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 proceeding › 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 proceeding › 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 proceeding › peer-review

    20 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 proceeding › peer-review

    34 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 proceeding › peer-review

    2 Citations (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 proceeding › peer-review

    14 Citations (Scopus)

  • On solving complex optimization problems with objective decomposition

    CHEUNG, Y. M. & Gu, F., 2013, Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013. p. 2264-2269 6 p. 6722140. (Proceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013).

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

    3 Citations (Scopus)

  • Optimization of spectrum-energy efficiency in heterogeneous communication network

    Gu, F., Liu, Z., CHEUNG, Y. M. & Liu, H. L., 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. 821-832 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 proceeding › Conference proceeding › peer-review

    1 Citation (Scopus)

  • Palmprint identification based on non-separable wavelet filter banks

    Wu, J., You, X., Tang, Y. Y. & Cheung, Y. M., 2008, 2008 19th International Conference on Pattern Recognition, ICPR 2008. 4761884. (Proceedings - International Conference on Pattern Recognition).

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

    8 Citations (Scopus)

  • Plant leaf identification via a growing convolution neural network with progressive sample learning

    Zhao, Z. Q., Xie, B. J., CHEUNG, Y. M. & Wu, X., 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. 348-361 14 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 proceeding › Conference proceeding › peer-review

    21 Citations (Scopus)

  • Preface

    Liu, J., Cheung, Y. M. & Yin, H., 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.-M. & Yin, H. (eds.). 1st ed. Berlin, Heidelberg: Springer, p. VI 1 p. (Lecture Notes in Computer Science; vol. 2690)(IDEAL: International Conference on Intelligent Data Engineering and Automated Learning).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding

  • Preface

    Cheung, Y. M., Wang, Y. & Liu, H., 3 Nov 2006, 2006 International Conference on Computational Intelligence and Security, CIS 2006. IEEE, p. iii 1 p. (International Conference on Computational Intelligence and Security, CIS).

    Research output: Chapter in book/report/conference proceeding › Conference proceeding

    Open Access