Yiu Ming CHEUNG, Prof

Research Output

Research output per year 2000 2005 2006 2007 2008 2009 2010 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023

• 148 Article
• 135 Conference contribution
• 12 Editorial
• 6 Paper
• 10 More
  • 5 Patent
  • 4 Conference article
  • 1 Letter

Research output per year

Research output per year

Search results

• 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

  • Feature extraction 100%
  • Decomposition 93%
  • Geometry 78%
  • Experiments 46%
  14 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

  • Object-oriented databases 100%
  • Computer vision 67%
  • Learning algorithms 66%
  • Experiments 28%
  3 Citations (Scopus)

• MTFH: A Matrix Tri-Factorization Hashing Framework for Efficient Cross-Modal Retrieval

  Liu, X., Hu, Z., Ling, H. & Cheung, Y. M., 1 Mar 2021, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43, 3, p. 964-981 18 p.

  Research output: Contribution to journal › Article › peer-review

  • Hashing 100%
  • Retrieval 97%
  • Factorization 77%
  • Framework 44%
  • Scenarios 35%
  63 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 contribution › peer-review

  Open Access

  • Interactive computer graphics 100%
  • Virtual reality 57%
  • Computer simulation 35%
  3 Citations (Scopus)

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

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

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

  • Microarrays 100%
  • Genes 55%
  • Monitoring 16%
  1 Citation (Scopus)

• Method and Apparatus for Eye Gaze Tracking (Granted)

  CHEUNG, Y. M. & PENG, Q., 3 Mar 2016, IPC No. G06-CY-Gaze-US01, Patent No. US 9,563,805 B2, 2 Sept 2014, Priority No. 14/475,542

  Research output: Patent

• Method and Apparatus for Eye Gaze Tracking (Granted)

  CHEUNG, Y. M. & PENG, Q., 31 May 2017, IPC No. G06-CY-Gaze-CN01, Patent No. ZL 2015 8 0044543.6, 20 Jul 2015, Priority date 2 Sept 2014, Priority No. 201580044543.6

  Research output: Patent

• Method and Apparatus for Eye Gaze Tracking (Granted)

  CHEUNG, Y. M. & PENG, Q., 26 Jan 2018, IPC No. G06-CY-Gaze-HK01, Patent No. HK 1233347, 7 Jul 2017, Priority date 2 Sept 2014, Priority No. 17106810.6

  Research output: Patent

• Meta-hashing for Remote Sensing Image Retrieval

  Tang, X., Yang, Y., Ma, J., Cheung, Y. M., Liu, C., Liu, F., Zhang, X. & Jiao, L., Jan 2022, In: IEEE Transactions on Geoscience and Remote Sensing. 60, 19 p., 5615419.

  Research output: Contribution to journal › Article › peer-review

  • Remote sensing 100%
  • Image retrieval 99%
  • remote sensing 61%
  • learning 28%
  • Deep neural networks 25%
  12 Citations (Scopus)

• Mechanism design for clustering aggregation by selfish systems

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

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

  • Agglomeration 100%
  • Data mining 47%
  1 Citation (Scopus)

• Maximum weighted likelihood via rival penalized EM for density mixture clustering with automatic model selection

  CHEUNG, Y. M., Jun 2005, In: IEEE Transactions on Knowledge and Data Engineering. 17, 6, p. 750-761 12 p.

  Research output: Contribution to journal › Article › peer-review

  • Weighted Likelihood 100%
  • Expectation Maximization 93%
  • Model Selection 70%
  • Clustering 67%
  • Maximum likelihood 66%
  75 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 contribution › peer-review

  • Image segmentation 100%
  • Labels 89%
  • Pixels 79%
  • Labeling 51%
  • Experiments 18%
  2 Citations (Scopus)

• Lossless contrast enhancement of color images with reversible data hiding

  Wu, H. T., Wu, Y., Guan, Z. & CHEUNG, Y. M., 1 Sept 2019, In: Entropy. 21, 9, 910.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Contrast Enhancement 100%
  • Data Hiding 98%
  • Color Image 78%
  • Color 38%
  • color 37%
  10 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 contribution › peer-review

  Open Access

  • Classifiers 100%
  • Spatial distribution 78%
  • Deep neural networks 68%
  • Sampling 49%
  • Experiments 25%
  1 Citation (Scopus)

• Local kernel regression score for selecting features of high-dimensional data

  CHEUNG, Y. M. & Zeng, H., Dec 2009, In: IEEE Transactions on Knowledge and Data Engineering. 21, 12, p. 1798-1802 5 p., 4752826.

  Research output: Contribution to journal › Article › peer-review

  • Local Regression 100%
  • Kernel Regression 82%
  • High-dimensional Data 73%
  • Unsupervised learning 72%
  • Supervised learning 67%
  35 Citations (Scopus)

• Lip segmentation under MAP-MRF framework with automatic selection of local observation scale and number of segments

  CHEUNG, Y. M., Li, M., Cao, X. & You, X., Aug 2014, In: IEEE Transactions on Image Processing. 23, 8, p. 3397-3411 15 p., 6837537.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Pixels 100%
  • Experiments 15%
  15 Citations (Scopus)

• Lip segmentation and tracking under MAP-MRF framework with unknown segment number

  CHEUNG, Y. M., Li, M. & Cao, X., 15 Mar 2013, In: Neurocomputing. 104, p. 155-169 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Lip 100%
  • Labeling 48%
  • Color 41%
  10 Citations (Scopus)

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

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

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

  • Speaker Verification 100%
  • Password 78%
  • Speech 64%
  • Knowledge 37%
  • Language 35%
  1 Citation (Scopus)

• Lip-password Based Speaker Verification System (Granted)

  CHEUNG, Y. M. & LIU, X., 29 Aug 2013, IPC No. G06-CY-Lipp-US01, Patent No. US 9,159,321B2, 25 Feb 2013, Priority date 27 Feb 2012, Priority No. 13/776,615

  Research output: Patent

• Lip event detection using oriented histograms of regional optical flow and low rank affinity pursuit

  Liu, X., CHEUNG, Y. M. & Tang, Y. Y., 1 Jul 2016, In: Computer Vision and Image Understanding. 148, p. 153-163 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Optical flows 100%
  • Flow fields 18%
  • Cameras 15%
  • Experiments 7%
  6 Citations (Scopus)

• Learning multi-boosted HMMs for lip-password based speaker verification

  Liu, X. & CHEUNG, Y. M., Feb 2014, In: IEEE Transactions on Information Forensics and Security. 9, 2, p. 233-246 14 p., 6675773.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Data Sharing 100%
  • Hidden Markov models 89%
  • Biometrics 87%
  34 Citations (Scopus)

• Learning Discriminative Joint Embeddings for Efficient Face and Voice Association

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

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

  • Biometrics 100%
  • Semantics 68%
  • Experiments 35%
  5 Citations (Scopus)

• Learning compact binary codes for hash-based fingerprint indexing

  Wang, Y., Wang, L., Cheung, Y. M. & Yuen, P. C., Aug 2015, In: IEEE Transactions on Information Forensics and Security. 10, 8, p. 1603-1616 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Binary codes 100%
  • Maximum likelihood 12%
  • Experiments 4%
  23 Citations (Scopus)

• Learning a mixture model for clustering with the completed likelihood minimum message length criterion

  Zeng, H. & CHEUNG, Y. M., May 2014, In: Pattern Recognition. 47, 5, p. 2011-2030 20 p.

  Research output: Contribution to journal › Article › peer-review

  • Distribution functions 100%
  • Parameter estimation 89%
  • Set theory 62%
  • Experiments 34%
  19 Citations (Scopus)

• Learnable Weighting of Intra-attribute Distances for Categorical Data Clustering with Nominal and Ordinal Attributes

  Zhang, Y. & Cheung, Y. M., 1 Jul 2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 7, p. 3560-3576 17 p.

  Research output: Contribution to journal › Article › peer-review

  • Data Clustering 100%
  • Nominal or categorical data 79%
  • Weighting 67%
  • Categorical or nominal 66%
  • Attribute 64%
  3 Citations (Scopus)

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

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

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

  • K-means Algorithm 100%
  • K-means Clustering 97%
  • K-means 90%
  • Clustering Algorithm 85%
  • Clustering algorithms 58%
  10 Citations (Scopus)

• Kernel learning for local learning based clustering

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

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

  • Hilbert spaces 100%
  • Clustering 71%
  • Learning 68%
  • kernel 51%
  • Hinges 39%
  5 Citations (Scopus)

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

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

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

  Open Access

  • Spectral Clustering 100%
  • Image Segmentation 90%
  • Similarity Measure 81%
  • Fuzzy Measure 81%
  • Image segmentation 63%
  5 Citations (Scopus)

• K*-Means: A new generalized k-means clustering algorithm

  CHEUNG, Y. M., Nov 2003, In: Pattern Recognition Letters. 24, 15, p. 2883-2893 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Clustering algorithms 100%
  • Statistical methods 93%
  • Experiments 39%
  160 Citations (Scopus)

• Joint sparse principal component analysis

  Yi, S., Lai, Z., He, Z., CHEUNG, Y. M. & LIU, Y., 1 Jan 2017, In: Pattern Recognition. 61, p. 524-536 13 p.

  Research output: Contribution to journal › Article › peer-review

  • Principal component analysis 100%
  • Dimensionality reduction 19%
  169 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

  • Pattern recognition 100%
  • Classifier 53%
  • Classifiers 53%
  • Matrix 40%
  • Eigenvalues 28%

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

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

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

  • Feature extraction 100%
  • Clustering algorithms 39%
  • Experiments 15%
  2 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

  • Face recognition 100%
  • Labels 88%
  • Glossaries 40%
  • Feedback 26%
  • Degradation 14%
  1 Citation (Scopus)

• Iterative dynamic generic learning for face recognition from a contaminated single-sample per person

  Pang, M., Cheung, Y. M., Shi, Q. & Li, M., Apr 2021, In: IEEE Transactions on Neural Networks and Learning Systems. 32, 4, p. 1560-1574 15 p.

  Research output: Contribution to journal › Article › peer-review

  • Face recognition 100%
  • Labels 88%
  • Glossaries 40%
  • Feedback 26%
  • Biometrics 20%
  14 Citations (Scopus)

• International Journal of Pattern Recognition and Artificial Intelligence: Editorial

  CHEUNG, Y. M., Wang, Y., You, X. & Wang, P. S., Feb 2009, In: International Journal of Pattern Recognition and Artificial Intelligence. 23, 1, p. 1-2 2 p.

  Research output: Contribution to journal › Editorial

• Inference-Based Similarity Search in Randomized Montgomery Domains for Privacy-Preserving Biometric Identification

  Wang, Y., Wan, J., Guo, J., Cheung, Y. M. & Yuen, P. C., 1 Jul 2018, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 7, p. 1611-1624 14 p.

  Research output: Contribution to journal › Article › peer-review

  • Similarity Search 100%
  • Privacy Preserving 94%
  • Biometrics 74%
  • Similarity 25%
  • Montgomery multiplication 17%
  17 Citations (Scopus)

• Improving posture classification accuracy for depth sensor-based human activity monitoring in smart environments

  HO, S. L., CHAN, C. P., Chan, D. C. K., Shum, H. P. H., CHEUNG, Y. M. & YUEN, P. C., 1 Jul 2016, In: Computer Vision and Image Understanding. 148, p. 97-110 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Monitoring 100%
  • Sensors 91%
  • Cameras 83%
  • Motion sensors 74%
  • Ergonomics 62%
  55 Citations (Scopus)

• Improving clustering with pairwise constraints: A discriminative approach

  Zeng, H., Song, A. & CHEUNG, Y. M., Aug 2013, In: Knowledge and Information Systems. 36, 2, p. 489-515 27 p.

  Research output: Contribution to journal › Article › peer-review

  • Clustering algorithms 100%
  • Set theory 35%
  • Experiments 19%
  4 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

  • Gesture Recognition 100%
  • Gestures 65%
  • Neural Networks 60%
  • Gesture recognition 59%
  • Police 59%
  1 Citation (Scopus)

• Image denoising by using nonseparable wavelet filters and two-dimensional principal component analysis

  You, X., Bao, Z., Xing, C. F., CHEUNG, Y. M., Tang, Y. Y. & Li, M., 1 Oct 2008, In: Optical Engineering. 47, 10, 107002.

  Research output: Contribution to journal › Article › peer-review

  • principal components analysis 100%
  • Image denoising 92%
  • Filter banks 87%
  • Principal component analysis 74%
  • filters 55%
  12 Citations (Scopus)

• Identity-preserved Complete Face Recovering Network for Partial Face Image

  Li, M. & Cheung, Y. M., Apr 2023, In: IEEE Transactions on Emerging Topics in Computational Intelligence. 7, 2, p. 604-609 6 p.

  Research output: Contribution to journal › Article › peer-review

  • Discriminators 100%
  • Partial 54%
  • Encoder 35%
  • Pipelines 20%
  • Identity function 18%
  1 Citation (Scopus)

• Hyperspectral Image Classification via Spatial Window-Based Multiview Intact Feature Learning

  Zhao, Y., Cheung, Y. M., You, X., Peng, Q., Peng, J., Yuan, P. & Shi, Y., Mar 2021, In: IEEE Transactions on Geoscience and Remote Sensing. 59, 3, p. 2294-2306 13 p.

  Research output: Contribution to journal › Article › peer-review

  • image classification 100%
  • Image classification 97%
  • Labels 77%
  • learning 74%
  • method 20%
  5 Citations (Scopus)

• Hyperspectral Image Classification Based on 3-D Octave Convolution with Spatial-Spectral Attention Network

  Tang, X., Meng, F., Zhang, X., Cheung, Y. M., Ma, J., Liu, F. & Jiao, L., Mar 2021, In: IEEE Transactions on Geoscience and Remote Sensing. 59, 3, p. 2430-2447 18 p.

  Research output: Contribution to journal › Article › peer-review

  • image classification 100%
  • Image classification 97%
  • Convolution 90%
  • Deep learning 40%
  • learning 28%
  68 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

  • Bagging 100%
  • Oversampling 58%
  • Learning 56%
  • Sampling 43%
  • Sampling Methods 35%
  23 Citations (Scopus)

• How to make a query in image retrieval with partial information extracted from multiple image samples?

  Chan, S. W. & Cheung, Y. M., 15 Jun 2021, In: International Journal of Pattern Recognition and Artificial Intelligence. 35, 7, 2154021.

  Research output: Contribution to journal › Article › peer-review

  • Image retrieval 100%
  • Labels 82%
  • Experiments 34%

• Hong Kong chapter report

  CHEUNG, Y. M. & Chau, M., May 2008, In: IEEE Computational Intelligence Magazine. 3, 2, p. 18-20 3 p., 4490256.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Computational Intelligence 100%
  • Artificial intelligence 57%
  • Industry 50%
  • China 41%
  • Technical presentations 41%

• 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

  • Experiments 100%
  10 Citations (Scopus)

• High-Capacity Reversible Data Hiding in Encrypted Images by Bit Plane Partition and MSB Prediction

  Wu, H. T., Yang, Z., CHEUNG, Y. M., Xu, L. & Tang, S., 13 May 2019, In: IEEE Access. 7, p. 62361-62371 11 p., 8713449.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Partition 100%
  • Cryptography 10%
  17 Citations (Scopus)

• Hashing fingerprints for identity de-duplication

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

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

  • Biometrics 100%
  • Experiments 11%
  2 Citations (Scopus)

• Guest Editorial Special Issue on Emerging Computational Intelligence Techniques for Decision Making with Big Data in Uncertain Environments

  Dingr, W., Pal, N. R., Lin, C. T., Cheung, Y. M., Cao, Z. & Luo, W., Feb 2021, In: IEEE Transactions on Emerging Topics in Computational Intelligence. 5, 1, p. 2-5 4 p.

  Research output: Contribution to journal › Editorial

  Open Access

  • Computational Intelligence 100%
  • Decision Making 66%
  • Big data 59%
  • Artificial intelligence 57%
  • Decision making 47%