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

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  • 2025

    Asynchronous Federated Clustering with Unknown Number of Clusters

    Zhang, Y., Zhang, Y., Lu, Y., Li, M., Chen, X. & Cheung, Y. M., 11 Apr 2025, Proceedings of the 39th AAAI Conference on Artificial Intelligence, AAAI 2025. AAAI press, p. 22695-22703 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 21).

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

    Open Access

  • Component-Level Segmentation for Oracle Bone Inscription Decipherment

    Hu, Z., Cheung, Y. M., Zhang, Y., Peiying, Z. & Ling, T. P., 11 Apr 2025, Proceedings of the 39th AAAI Conference on Artificial Intelligence, AAAI 2025. Walsh, T., Shah, J. & Kolter, Z. (eds.). AAAI press, p. 28116-28124 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 27).

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

    Open Access

  • GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning

    Huang, J., Cheung, Y. M., Vong, C. M. & Qian, W., 11 Apr 2025, Proceedings of the 39th AAAI Conference on Artificial Intelligence, AAAI 2025. AAAI press, p. 17431-17439 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 39, no. 16).

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

    Open Access

  • Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment

    Gao, J., Wu, H., Cheung, Y.-M., Cao, J., Yu, H. & Zhang, Y., 22 Apr 2025, Proceedings of the ACM on Web Conference 2025. New York, NY, USA: Association for Computing Machinery (ACM), p. 3492–3504 13 p. (Proceedings of the ACM on Web Conference).

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

  • ReCon: Enhancing True Correspondence Discrimination through Relation Consistency for Robust Noisy Correspondence Learning

    Zha, Q., Liu, X., Peng, S.-J., Cheung, Y.-M., Xu, X. & Wang, N., 11 Jun 2025, The Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2025. IEEE, p. 29680-29689 10 p.

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

    Open Access

  • Robust Qualitative Data Clustering via Learnable Multi-Metric Space Fusion

    Feng, S., Zhao, M., Huang, Z., Ji, Y., Zhang, Y. & Cheung, Y.-M., 6 Apr 2025, Proceedings of the 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Rao, B. D., Trancoso, I., Sharma, G. & Mehta, N. B. (eds.). IEEE, 5 p. 10889806. (Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)).

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

  • Semantically Improved Adversarial Attack Based on Masked Language Model via Context Preservation

    Tian, H., Wu, H.-T., Cheung, Y.-M., He, J. & Tian, Z., 23 Jun 2025, Proceedings of the 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2025. IEEE

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

  • Weighted Density for The Win: Accurate Subspace Density Clustering

    Peng, M., Wu, Y., Lu, Y., Li, M., Zhang, Y. & Cheung, Y.-M., 6 Apr 2025, Proceedings of the 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Rao, B. D., Trancoso, I., Sharma, G. & Mehta, N. B. (eds.). IEEE, 5 p. 10890745. (Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)).

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

  • 2024

    A Bilevel Evolutionary Algorithm Based on Upper-Level-Driven Lower-Level Search

    Yang, N., Liu, H.-L., Chen, L., Wang, Y. & Cheung, Y.-M., 30 Jun 2024, 2024 IEEE Congress on Evolutionary Computation (CEC). IEEE, 7 p. 10611954. (2024 IEEE Congress on Evolutionary Computation, CEC 2024 - Proceedings).

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

  • Adapt PointFormer: 3D Point Cloud Analysis via Adapting 2D Visual Transformers

    Li, M., Li, D., Yang, G., Cheung, Y.-M. & Huang, H., 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. 89-96 8 p. (Frontiers in Artificial Intelligence and Applications; vol. 392).

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

    Open Access

  • Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models

    Zeng, Q., Wang, Z., Cheung, Y. M. & Jiang, M., Dec 2024, 38th Conference on Neural Information Processing Systems, NeurIPS 2024. Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Neural Information Processing Systems Foundation, (Advances in Neural Information Processing Systems; vol. 37)(NeurIPS Proceedings).

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

    Open Access

  • Clustering by Learning the Ordinal Relationships of Qualitative Attribute Values

    Wang, P., Zhang, Y., Zhang, Y., Lu, Y., Li, M. & Cheung, Y.-M., 30 Jun 2024, 2024 International Joint Conference on Neural Networks (IJCNN). IEEE, p. 1-8 8 p. 10650134. (Proceedings of the International Joint Conference on Neural Networks).

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

    3 Citations (Scopus)

  • Component-Level Oracle Bone Inscription Retrieval

    Hu, Z., Cheung, Y.-M., Zhang, Y., Zhang, P. & Tang, P.-L., May 2024, ICMR '24: Proceedings of the 2024 International Conference on Multimedia Retrieval. 1st ed. New York: Association for Computing Machinery (ACM), p. 647–656 10 p. (ICMR 2024 - Proceedings of the 2024 International Conference on Multimedia Retrieval).

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

    Open Access
    4 Citations (Scopus)

  • Feature Fusion from Head to Tail for Long-Tailed Visual Recognition

    Li, M., Hu, Z., Lu, Y., Lan, W., Cheung, Y. M. & Huang, H., 25 Mar 2024, Proceedings of the 38th AAAI Conference on Artificial Intelligence. Wooldridge, M., Dy, J. & Natarajan , S. (eds.). AAAI press, p. 13581-13589 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 38, no. 12).

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

    Open Access
    19 Citations (Scopus)

  • 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

    3 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
    7 Citations (Scopus)

  • FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion

    Tang, Z., Zhang, Y., Dong, P., Cheung, Y. M., Zhou, A. C., Han, B. & Chu, X., Dec 2024, 38th Conference on Neural Information Processing Systems, NeurIPS 2024. Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Neural Information Processing Systems Foundation, 37 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
    1 Citation (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. Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). 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

  • Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition

    Li, M., Liu, Y., Lu, Y., Zhang, Y., Cheung, Y. M. & Huang, H., Dec 2024, Proceedings of 38th Conference on Neural Information Processing Systems, NeurIPS 2024. Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Neural Information Processing Systems Foundation, p. 1-25 25 p. (Advances in Neural Information Processing Systems; vol. 37).

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

    Open Access
    1 Citation (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

  • 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

    2 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

    1 Citation (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

  • Learning to Shape In-distribution Feature Space for Out-of-distribution Detection

    Zhang, Y., Lu, J., Peng, B., Fang, Z. & Cheung, Y. M., Dec 2024, Proceedings of 38th Conference on Neural Information Processing Systems, NeurIPS 2024. Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Neural Information Processing Systems Foundation, p. 1-19 19 p. (Advances in Neural Information Processing Systems; vol. 37).

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

    Open Access
    1 Citation (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

  • QGRL: Quaternion Graph Representation Learning for Heterogeneous Feature Data Clustering

    Chen, J., Ji, Y., Zou, R., Zhang, Y. & Cheung, Y.-M., 24 Aug 2024, KDD 2024 - Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery (ACM), p. 297-306 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).

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

    Open Access
    8 Citations (Scopus)

  • Robust Categorical Data Clustering Guided by Multi-Granular Competitive Learning

    Cai, S., Zhang, Y., Luo, X., Cheung, Y.-M., Jia, H. & Liu, P., 23 Jul 2024, Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024. IEEE, p. 288-299 12 p. (Proceedings - International Conference on Distributed Computing Systems).

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

    8 Citations (Scopus)

  • Towards Unbiased Minimal Cluster Analysis of Categorical-and-Numerical Attribute Data

    Zhang, Y., Luo, X., Chen, Q., Zou, R., Zhang, Y. & Cheung, Y. M., 2 Dec 2024, Pattern Recognition: 27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part II. Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C.-L., Bhattacharya, S. & Pal, U. (eds.). Springer Cham, p. 254-269 16 p. (Lecture Notes in Computer Science; vol. 15302)(ICPR: International Conference on Pattern Recognition).

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

    1 Citation (Scopus)

  • UGNCL: Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching

    Zha, Q., Liu, X., Cheung, Y. M., Xu, X., Wang, N. & Cao, J., 11 Jul 2024, SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: Association for Computing Machinery (ACM), p. 852-861 10 p.

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

    4 Citations (Scopus)

  • Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting

    Li, R. & Cheung, Y. M., Dec 2024, 38th Conference on Neural Information Processing Systems, NeurIPS 2024. Globerson, A., Mackey, L., Belgrave, D., Fan, A., Paquet, U., Tomczak, J. & Zhang, C. (eds.). Neural Information Processing Systems Foundation, 25 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
  • 2023

    ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification: 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 proceeding › Conference proceeding › peer-review

    1 Citation (Scopus)

  • BEDCOE: Borderline Enhanced Disjunct Cluster Based Oversampling Ensemble for Online Multi-Class Imbalance Learning: 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 proceeding › Conference proceeding › peer-review

    Open Access
    2 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

  • 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

    16 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)

  • 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
    40 Citations (Scopus)

  • SA-NMS: Multi-document Summarization with Self-attention and Non-maximum Suppression Selection: Multi-document Summarization with Self-attention and Non-maximum Suppression Selection

    Yu, Y., Wu, M., Su, W., Cheung, Y. M., Zhao, J. & Yu, Z., 23 Apr 2023, Proceedings of the International Conference on Internet of Things, Communication and Intelligent Technology. Dong, J. & Zhang, L. (eds.). 1st ed. Springer, p. 553-563 11 p. (Lecture Notes in Electrical Engineering; vol. 1015 LNEE)( IoTCIT: International Conference on Internet of Things, Communication and Intelligent Technology).

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

  • Selecting Heterogeneous Features Based on Unified Density-Guided Neighborhood Relation for Complex Biomedical Data Analysis

    Zhao, L., Zhang, Y., Luo, X., Zhang, Y., Cheung, Y. M. & Li, K., 5 Dec 2023, Proceedings - 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023. Jiang, X., Wang, H., Alhajj, R., Hu, X., Engel, F., Mahmud, M., Pisanti, N., Cui, X. & Song, H. (eds.). IEEE, p. 771-778 8 p. (Proceedings - IEEE International Conference on Bioinformatics and Biomedicine, BIBM).

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

    4 Citations (Scopus)

  • Taking a Part for the Whole: An Archetype-agnostic Framework for Voice-Face Association

    Chen, G., Liu, X., Xu, X., Cheung, Y. M. & Li, T., 27 Oct 2023, MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia. Association for Computing Machinery (ACM), p. 7056-7064 9 p. (Proceedings of the ACM International Conference on Multimedia).

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

  • 2022

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

    Wei, S., Wang, Y. & Cheung, Y.-M., 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 proceeding › peer-review

  • Cross-domain Prototype Learning from Contaminated Faces via Disentangling Latent Factors

    Pang, M., Wang, B., Chen, S., Cheung, Y.-M., 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 proceeding › peer-review

    2 Citations (Scopus)

  • Detach and Enhance: Learning Disentangled Cross-modal Latent Representation for Efficient Face-Voice Association and Matching

    Yu, Z., Liu, X., Cheung, Y.-M., 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 proceeding › peer-review

    2 Citations (Scopus)

  • Feature-Balanced Loss for Long-Tailed Visual Recognition

    Li, M., Cheung, Y.-M. & 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 proceeding › peer-review

    19 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

    37 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
    16 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
    91 Citations (Scopus)
  • 2021

    A Scoring Model Assisted by Frequency for Multi-Document Summarization

    Yu, Y., Wu, M., Su, W. & CHEUNG, Y.-M., 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 proceeding › peer-review

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

    He, Y., Liu, X., Cheung, Y.-M., 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 proceeding › peer-review

    24 Citations (Scopus)

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

    Yi, J., Liu, X., Cheung, Y.-M., 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 proceeding › peer-review

    20 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 proceeding › peer-review

    Open Access
    10 Citations (Scopus)