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.

20002024

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  • 2023

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

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

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

    Open Access
  • 2022

    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 proceeding › Conference contribution › peer-review

  • 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 proceeding › Conference contribution › peer-review

  • 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 proceeding › Conference contribution › peer-review

  • 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 proceeding › Conference contribution › peer-review

    1 Citation (Scopus)

  • 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 proceeding › Conference contribution › peer-review

    2 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 proceeding › Conference contribution › peer-review

    Open Access
    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
    4 Citations (Scopus)
  • 2021

    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 proceeding › Conference contribution › peer-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 proceeding › Conference contribution › peer-review

    5 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 proceeding › Conference contribution › peer-review

    10 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
    2 Citations (Scopus)

  • Reversible Data Hiding in Jpeg Images for Privacy Protection

    Huang, Y., Cao, X., Wu, H-T. & Cheung, Y-M., 6 Jun 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Androutsos, D., Plataniotis, K. & Zhang, X-P. (eds.). 1st ed. IEEE, p. 2715-2719 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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

    3 Citations (Scopus)

  • Vertical Federated Principal Component Analysis on Feature-wise Distributed Data

    Cheung, Y., Lou, J. & Yu, F., 2 Dec 2021, Web Information Systems Engineering – WISE 2021: 22nd International Conference on Web Information Systems Engineering, WISE 2021, Melbourne, VIC, Australia, October 26–29, 2021, Proceedings, Part I. Zhang, W., Zou, L., Maamar, Z. & Chen, L. (eds.). 1st ed. Springer Cham, p. 173-188 16 p. (Lecture Notes in Computer Science; vol. 13080)(Information Systems and Applications, incl. Internet/Web, and HCI; vol. 13080)(WISE: International Conference on Web Information Systems Engineering).

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

  • 2020

    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 proceeding › Conference contribution › peer-review

    Open Access
    5 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
    1 Citation (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 proceeding › Conference contribution › peer-review

    3 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
    3 Citations (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)

  • 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)

  • Projection-free Online Empirical Risk Minimization with Privacy-preserving and Privacy Expiration

    Lou, J. & Cheung, Y., 14 Dec 2020, Proceedings - 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2020. He, J., Purohit, H., Huang, G., Gao, X. & Deng, K. (eds.). IEEE, p. 758-763 6 p. (Proceedings - IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT).

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

  • Reversible Data Hiding in Homomorphic Encrypted Images Without Preprocessing

    Wu, H. T., CHEUNG, Y. M., Zhuang, Z. & Tang, S., 25 Jan 2020, Information Security Applications: 20th International Conference, WISA 2019, Jeju Island, South Korea, August 21–24, 2019, Revised Selected Papers. You, I. (ed.). 1st ed. Springer, p. 141-154 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11897).

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

    Open Access
    2 Citations (Scopus)
  • 2019

    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 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)

  • Solving Dynamic Multi-objective Optimization Problems Using Incremental Support Vector Machine

    Hu, W., Jiang, M., Gao, X., Tan, K. C. & CHEUNG, Y. M., Jun 2019, 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. IEEE, p. 2794-2799 6 p. 8790005. (2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings).

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

    11 Citations (Scopus)

  • Triplet fusion network hashing for unpaired cross-modal retrieval

    Hu, Z., Liu, X., Wang, X., CHEUNG, Y. M., Wang, N. & Chen, Y., 5 Jun 2019, ICMR 2019 - Proceedings of the 2019 ACM International Conference on Multimedia Retrieval. Association for Computing Machinery (ACM), p. 141-149 9 p. (ICMR 2019 - Proceedings of the 2019 ACM International Conference on Multimedia Retrieval).

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

    18 Citations (Scopus)
  • 2018

    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 proceeding › Conference contribution › peer-review

    1 Citation (Scopus)

  • A parameterless decomposition-based evolutionary multi-objective algorithm

    Gu, F., CHEUNG, Y. M., Liu, H. L. & Lin, Z., 8 Jun 2018, Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018. IEEE, p. 842-845 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

    2 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)

  • 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

    6 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)

  • 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

  • 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

    2 Citations (Scopus)

  • Uplink communication efficient differentially private sparse optimization with feature-wise distributed data

    Lou, J. & Cheung, Y. M., 8 Feb 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI press, p. 125-133 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 32, no. 1).

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

    Open Access
    8 Citations (Scopus)
  • 2017

    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 proceeding › Conference contribution › peer-review

    6 Citations (Scopus)

  • 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 proceeding › Conference contribution › peer-review

    5 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 proceeding › Conference contribution › peer-review

    11 Citations (Scopus)

  • 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 proceeding › Conference contribution › peer-review

    Open Access
    4 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
    42 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 proceeding › Conference contribution › peer-review

    7 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)

  • 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 contribution › peer-review

    1 Citation (Scopus)

  • Robust heterogeneous discriminative analysis for single sample per person face recognition

    Pang, M., CHEUNG, Y. M., Wang, B. & Liu, R., 6 Nov 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), p. 2251-2254 4 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

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

    Open Access
    1 Citation (Scopus)

  • Tensor rank estimation and completion via CP-based nuclear norm

    Shi, Q., LU, H. & CHEUNG, Y. M., 6 Nov 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), p. 949-958 10 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

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

    Open Access
    15 Citations (Scopus)
  • 2016

    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 proceeding › Conference contribution › peer-review

  • 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)

  • 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)

  • 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

    24 Citations (Scopus)