Yongmin Li    PhD, MEng, BEng
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  1. Islam, T., Miron, A., Liu, X., & Li, Y. (2024). Deep Learning in Virtual Try-On: A Comprehensive Survey. IEEE Access, 12, 29475-29502.
  2. Ndipenoch, N., Miron, A., & Li, Y. (2024). Performance Evaluation of Retinal OCT Fluid Segmentation, Detection, and Generalization Over Variations of Data Sources. IEEE Access, 12, 31719-31735.
  3. N McConnell, N Ndipenoch, Y Cao, A Miron, Y Li (2023). Exploring advanced architectural variations of nnUNet. Neurocomputing. Second Place, FeTA, MICCAI 2022.
  4. Shahi, K., & Li, Y. (2023). Background Replacement in Video Conferencing. International Journal of Network Dynamics and Intelligence.
  5. Ndipenoch, N., Miron, A., Wang, Z., & Li, Y (2023). nnUNet RASPP for Retinal OCT Fluid Detection, Segmentation and Generalisation over Variations of Data Sources. arXiv preprint arXiv:2302.13195. First Place, RETOUCH Online, MICCAI 2023.
  6. Omran, T., Sharif, B., Grosan, C., & Li, Y. (2023). Sentiment Analysis of Multilingual Dataset of Bahraini Dialects, Arabic, and English. Data 8 (68).
  7. Ndipenoch, N., Miron, A., Wang, Z., & Li, Y. (2023). Retinal Image Segmentation with Small Datasets. In 10th International Conference on Bioimaging.
  8. Omran, T., Sharif, B., Grosan, C., & Li, Y. (2023). The Impact of Data Augmentation on Sentiment Analysis of Translated Textual Data. In International Conference on IT Innovations and Knowledge Discovery.
  9. Omran, T., Sharif, B., Grosan, C., & Li, Y. (2023). Transfer Learning and Sentiment Analysis of Bahraini Dialects Sequential Text Data Using Multilingual Deep Learning Approach. Data & Knowledge Engineering, Volume 143, 2023.
  10. Omran, T., Grosan, C., Sharif, B., & Li, Y. (2022). The Impact of Data Augmentation on Sentiment Analysis of Translated Textual Data. In International Conference on IT Innovations and Knowledge Discovery, 2022.
  11. Omran, T., Grosan, C., Sharif, B., & Li, Y. (2022). Ensemble Learning for Sentiment Analysis of Translation-Based Textual Data. In IEEE International Conference on Electrical, Computer, Communications and Mechatronics Engineering, 2022.
  12. McConnell, N., Miron, A., Wang, Z., & Li, Y. Integrating Residual, Dense, and Inception Blocks into the nnUNet. In IEEE 35th International Symposium on Computer Based Medical Systems. 2022.
  13. Ndipenoch, N., Miron, A., & Li, Y. (2022). Simultaneous Segmentation of Layers and Fluids in Retinal OCT Images. In IEEE Conference on Image and Signal Processing, BioMedical Engineering and Informatics. 2022.
  14. Omran, T., Grosan, C., Sharif, B., & Li, Y. (2022). Transfer Learning and Sentiment Analysis of Bahraini Dialects Sequential Text Data using Multilingual Deep Learning Approach. Data & Knowledge Engineering, 2022.
  15. Islam, T., Miron A., Liu X., & Li, Y. (2022). SVTON: Simplified Virtual Try-On. In International Conference on Machine learning and Applications. 2022.
  16. Roth, T., Weier, M., Bauszat, P., Hinkenjann, A., & Li, Y. (2020). Hash-based Hierarchical Caching and Layered Filtering for Interactive Previews in Global Illumination Rendering. Computers, 9(1), 17, 1-25.
  17. Wang, C., Li, Y. Blood Vessel Segmentation from Retinal Images. In The 20th IEEE International Conference on BioInformatics And BioEngineering. 2020.
  18. Dodo, B., Li, Y., Kaba, D., & Liu, X. (2019). Retinal Layer Segmentation in Optical Coherence Tomography Images. IEEE Access, Vol 7, pp. 152388-152398.
  19. Dodo, B., Li, Y., Eltayef, K., & Liu, X. (2019). Automatic Annotation of Retinal Layers in Optical Coherence Tomography Images. Journal of Medical Systems.
  20. Dodo, B., Li, Y., Tucker, A., & Liu, X. Retinal OCT Segmentation Using Fuzzy Region Competition and Level Set Methods. In IEEE International Symposium on Computer-Based Medical Systems. Andalucia, Spain, 2019.
  21. Dodo, B., Li, Y., Dodo M. & Liu, X. (2019). Simultaneous Segmentation of Retinal OCT Images Using Level Set. In International Joint Conference on Biomedical Engineering Systems and Technologies, 120-136.
  22. Dodo B., Li Y., Eltayef K., Liu X. (2019). Min-Cut Segmentation of Retinal OCT Images. In: Cliquet Jr. A. et al. (eds) Biomedical Engineering Systems and Technologies. Springer.
  23. Roth, T., Weier, M., Bauszat, P., Hinkenjann, A., & Li, Y. (2019). Hash-based Hierarchical Caching for Interactive Previews in Global Illumination Rendering. In Computer Graphics & Visual Computing Conference. Bangor, UK.
  24. Dodo, B., Li, Y., & Liu, X. (2019). Min-Cut Segmentation of Retinal OCT Images. Communications in Computer and Information Science, vol. 1024, Springer.
  25. Dodo, B., Li, Y., Tucker, A., & Liu, X. Retinal OCT Segmentation Using Fuzzy Region Competition and Level Set Methods. In IEEE International Symposium on Computer-Based Medical Systems. Andalucia, Spain, 2019.
  26. Dodo, B., Li, Y., Liu, X., & Dodo M. Level Set Segmentation of Retinal OCT Images. In International Conference on Bioimaging. Czech Republic, 2019.
  27. Adesola, S., Li, Y., & Liu, X. Boredom in Learning. In International Conference on Educational and Information Technology. Cambridge, UK, 2019.
  28. Adesola, S., Li, Y., & Liu, X. Effect of Emotions on Students Learning Strategies. In International Conference on Educational and Information Technology. Cambridge, UK, 2019.
  29. Dodo, B., Li, Y., Eltayef, K., & Liu, X. Graph-Cut Segmentation of Retinal Layers from OCT Images. In International Conference on Bioimaging. Portugal, 2018. Best Student Paper Award.
  30. Adesola, S., & Li, Y. The Relationship between Self-Regulation, Self-Efficacy, Test Anxiety and Motivation. International Journal of Information and Education Technology, 8(10), 759-763, 2018.
  31. Adesola, S., & Li, Y. Investigating the Impact of Learners Emotions on Academic Performance and Motivation using Ethnography. International Journal of Information and Education Technology, 8(10), 730-735, 2018.
  32. Wang, D., Wang, Z., Shen, B., Li, Y., and Alsaadi, F. E. An event-triggered approach to robust recursive filtering for stochastic discrete time-varying spatial-temporal systems. Signal Processing, volume 145, pages 91-98, 2018.
  33. Roth, T., Weier, M., Hinkenjann, A., Slusallek, P., & Li, Y. A Quality-Centered Analysis of Eye Tracking Data in Foveated Rendering. Journal of Eye Movement Research, volume 10, number 5, pages 1-12, 2018.
  34. Javadi, S. M., Li, Y., & Liu, X. Removing Shadows from Video. International Journal of Machine Learnign and Computing, volume 7, number 6, pages 232-237, 2017.
  35. Eltayef, K., Li, Y., Dodo, B. I., & Liu, X. Skin Cancer Detection in Dermoscopy Images Using Sub-Region Features. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 10584 LNCS, pages 75-86, 2017.
  36. Dodo, B., Li, Y., & Liu, X. Retinal OCT Image Segmentation Using Fuzzy Histogram Hyperbolization and Continuous Max-Flow. In IEEE International Symposium on Computer-Based Medical Systems. Greece, 2017.
  37. Eltayef, K., Li, Y., & Liu, X. Lesion Segmentation in Dermoscopy Images Using Particle Swarm Optimization and Markov Random Field. In IEEE International Symposium on Computer-Based Medical Systems. Greece, 2017.
  38. Wang, C., Wang, Y., & Li, Y. Automatic Choroidal Layer Segmentation Using Markov Random Field And Level Set Method. IEEE Journal of Biomedical and Health Informatics, volume 21, issue 6, pages 1694-1702, 2017.
  39. Thorsten Roth, Martin Weier, André Hinkenjann, Philipp Slusallek, Yongmin Li. An Analysis of Eye-Tracking Data in Foveated Ray Tracing. In Proc. the Second Workshop on Eye Tracking and Visualization. Baltimore, USA, 2016.
  40. Martin Weier, Thorsten Roth, Ernst Kruijff, André Hinkenjann, Philipp Slusallek, Yongmin Li. Foveated Real-Time Ray Tracing for Head-Mounted Displays. Computer Graphics Forum, volume 35, number 7, pages 289-298, 2016.
  41. Khalid Eltayef, Yongmin Li and Xiaohui Liu. Detection of Pigment Networks in Dermoscopy Images. In Proc. International Conference on Communication, Image and Signal Processing. Dubai, UAE, 2016.
  42. Khalid Eltayef, Yongmin Li and Xiaohui Liu. Detection of Melanoma Skin Cancer in Dermoscopy Images. In Proc. International Conference on Communication, Image and Signal Processing. Dubai, UAE, 2016.
  43. Djibril Kaba, Yaxing Wang, Chuang Wang, Xiaohui Liu, Haogang Zhu, Ana G. Salazar-Gonzalez and Yongmin Li. Retina Layer Segmentation Using Kernel Graph Cuts and Continuous Max-Flow. Optics Express, volume 23, issue 6, pages 7366-7384, 2015.
  44. Chuang Wang, Yaxing Wang, Djibril Kaba, Zidong Wang, Xiaohui Liu and Yongmin Li. Automated Layer Segmentation of 3D Macular Images Using Hybrid Methods. In Proc. International Conference on Image and Graphics. Tianjing, China, 2015.
  45. Chuang Wang, Yaxing Wang, Djibril Kaba, Haogang Zhu, Zidong Wang, Xiaohui Liu and Yongmin Li. Markov Random Field based Automation Layers Segmentation Method for 3D Optic Nerve Head Images. In Proc. International Conference on Image and Graphics. Tianjing, China, 2015.
  46. Sebastian Szeracki, Thorsten Roth, Andre Hinkenjann and Yongmin Li. Boosting histogram-based denoising methods with gpu optimizations. In Proc. Workshop Virtual and Augmented Reality, Germany, 2015.
  47. Thorsten Roth, Andre Hinkenjann and Yongmin Li. Guided high-quality rendering. Advances in Visual Computing, pages 115-125, 2015.
  48. Chuang Wang, Djibril Kaba and Yongmin Li. Level set segmentation of blood vessels and optic discs. Journal of Medical Systems, volume 4, number 3, pages 213-220, 2015.
  49. Ana Salazar-Gonzalez, Djibril Kaba, Yongmin Li and Xiaohui Liu. Segmentation of blood vessels and optic disc in retinal images. IEEE Journal of Biomedical and Health Informatics, volume 18, number 6, page 1874-1886, 2014.
  50. Djibril Kaba, Chuang Wang, Yongmin Li, Ana Salazar-Gonzalez, Xiaohui Liu and Ahmed Serag. Retinal blood vessels extraction using probabilistic modelling. Health Information Science and Systems, volume 2, issue 2, 2014.
  51. Chuang Wang, Djibril Kaba and Yongmin Li. Level set segmentation of optic discs from retinal images. In Proc. International Conference on Biomedical and Bioinformatics Engineering, Taiwan, 2014.
  52. Andre Hinkenjann, Thorsten Roth, Jessica Millberg, Hojun Yun and Yongmin Li. Real-Time Simulation of Camera Errors and Their Effect on Some Basic Robotic Vision Algorithms. In Proc. Tenth Conference on Computer and Robot Vision, Canada, 2013.
  53. Djibril Kaba, Ana G. Salazar-Gonzalez, Yongmin Li, Xiaohui Liu and Ahmed Serag. Segmentation of Retinal Blood Vessels using Gaussian Mixture Models and Expectation Maximisation. In Proc. International Conference on Health Information Science, London, UK, 2013.
  54. Ana G. Salazar-Gonzalez, Yongmin Li and Xiaohui Liu. Automatic graph cut based segmentation of retinal optic disc by incorporating blood vessel compensation. Journal of Artificial Intelligence and Soft Computing Research, volume 2, number 3, pages 235-245, 2012.
  55. Fuwen Yang and Yongmin Li. Robust set-membership filtering for systems with missing measurement: A linear matrix inequality approach. IET Signal Processing, volume 6, issue 4, pages 341-347, 2012.
  56. Qianbin Chen, Lipo Wang, Yongmin Li et al. (Eds.). Proceedings of the 5th International Congress on Image and Signal Processing. IEEE, 2012.
  57. A. Salazar-Gonzalez, Y. Li and X. Liu. Retinal Optic Disc and Blood Vessels: the Segmentation of Overlapping Tissues. Health Information Science and Systems, 2012.
  58. A. Salazar-Gonzalez, D. Kaba and Y. Li. MRF Reconstruction of Retinal Images for the Optic Disc Segmentation. In Proc. International Conference on Health Information Science (HIS 2012), Beijing, China, 2012. Best Paper Award.
  59. A. Ruta and Y. Li. Learning pairwise image similarities for multi-classification using Kernel Regression Trees. Pattern Recognition, volume 45, number 4, pages 1396-1408, 2012.
  60. Y. Li, N. Xiong, H. Wang and L. Wang. Editorial: Special Issue on Recent Advances in Intelligent Techniques. International Journal of Intelligent Systems, 2012.
  61. Yongsheng Ding, Lipo Wang and Yongmin Li et al. (Eds.). Proceedings of the 8th International Conference on Fuzzy Systems and Knowledge Discovery. IEEE, 2011.
  62. F. Yang and Y. Li. Set-membership filtering for polytopic uncertain discrete-time systems. International Journal of General Systems, volume 40 number 7, pages 741-754, 2011.
  63. A. Salazar-Gonzalez, Y. Li and X. Liu. Optic Disc Segmentation by Incorporating Blood Vessel Compensation. In Proc. International Workshop on Computational Intelligence in Medical Imaging, Paris, France, 2011.
  64. A. Ruta, F. Porikli, S. Watanabe, and Y. Li. In-vehicle camera traffic sign detection and recognition. Machine Vision and Applications, volume 22, number 2, pages 359-375, 2011.
  65. A. Salazar-Gonzalez, Y. Li and X. Liu. Retinal blood vessel segmentation via graph cut. In Proc. International Conference on Control, Automation, Robotics and Vision, Singapore, December 2010.
  66. A. Ruta, Y. Li and X. Liu. Robust Class Similarity Measure for Traffic Sign Recognition. IEEE Transactions on Intelligent Transportation Systems, volume 11, issue 4, pages 846-855, 2010.
  67. F. Yang, W. Wang, Y. Niu and Y. Li. Observer-Based H_infinity Control for Networked Systems with Consecutive Packet Delays and Losses. International Journal of Control, Automation and Systems, volume 8, issue 4, pages 769-775, 2010.
  68. F. Yang and Y. Li. Set-Membership Fuzzy Filtering for Nonlinear Discrete-Time Systems. IEEE Transactions on Systems, Man, and Cybernetics: Part B, volume 40, issue 1, pages 116-124, 2010.
  69. A. Ruta, Y. Li and X. Liu. Real-Time Traffic Sign Recognition from Video by Class-Specific Discriminative Features. Pattern Recognition, volume 43, issue 1, pages 416-430, 2010.
  70. F. Yang and Y. Li. Set-Membership Filtering with State Constraints. IEEE Transactions on Aerospace and Electronic Systems, volume 45, issue 4, pages 1619-1629, 2009.
  71. F. Yang and Y. Li. Set-Membership Filtering for Discrete-Time Systems with Nonlinear Equality Constraints. IEEE Transactions on Automatic Control, volume 54, issue 10, pages 2480-2486, 2009.
  72. F. Yang and Y. Li. Set-Membership Filtering for Systems with Sensor Saturation. Automatica, volume 45, issue 8, pages 1896-1902, 2009.
  73. F. Yang, W. Wang and Y. Li. An iterative LMI approach to H-infinity networked control with random communication delays. International Journal of Systems, Control and Communications, volume 1, number 3, pages 325-341, 2009.
  74. A. Ruta, Y. Li, F. Porikli, S. Watanabe, H. Kage, K. Sumi. A New Approach for In-Vehicle Camera Traffic Sign Detection and Recognition. In Proc. IAPR Conference on Machine Vision Applications, Japan, 2009. MVA Most Influential Paper over the Decade Award (Awarded in 2019).
  75. F. Yang, Y. Li and X. Liu. Robust Error Square Constrained Filter Design for Systems with Non-Gaussian Noises. IEEE Signal Processing Letters, volume 15, pages 930-933, 2008.
  76. K. Fraser, Z. Wang, Y. Li, P. Kellam, X. Liu. Can Graph-Cutting Improve Microarray Gene Expression Reconstructions? Pattern Recognition Letters, volume 29, number 16, pages 2129-2136, 2008.
  77. A. Ruta, Y. Li, and X. Liu. Detection, Tracking and Recognition of Traffic Signs from Video Input. In Proc. The 11th International IEEE Conference on Intelligent Transportation Systems, Beijing, 2008.
  78. F. Yang and Y. Li. Set-Membership Filtering for Discrete-Time Systems with Nonlinear Equality Constraints. In Proc. The 14th International Conference on Automation and Computing, UK, 2008.
  79. A. Ruta, Y. Li, and X. Liu. Low-Resolution Human Detection and Gait Recognition in Natural Scenes. In Proc. The 14th International Conference on Automation and Computing, UK, 2008.
  80. F. Yang, Y. Li, and X. Liu. Robust Variance Constrained Filter Design for Systems with Non-Gaussian Noises. In Proc. IEEE International Conference on Networking, Sensing and Control, Sanya, China, 2008.
  81. K. Fraser, Z. Wang, Y. Li, P. Kellam and X. Liu. Improving Microarray Expressions with Recalibration. In Proc. International Symposium on Computational Life Science, pages 3-15, Netherlands, October 2007.
  82. A. Ruta, Y. Li and X. Liu. Towards Real-Time Traffic Sign Recognition by Class-Specific Discriminative Features. In Proc. British Machine Vision Conference, Warwich, UK, September 2007. Best Poster Prize.
  83. K. Fraser, Y. Li, Z. Wang, P. Kellam and X. Liu. Noise Filtering and Microarray Image Reconstruction via Chained Fouriers. In Advances in Intelligent Data Analysis VII, pages 308-319, 2007.
  84. A. Ruta, Y. Li and X. Liu. Traffic Sign Recognition Using Discriminative Local Features. In Advances in Intelligent Data Analysis VII, pages 355-366, 2007.
  85. E. Klecun, Y. Li and S. Morar. Information and communication technologies: trends, theoretical approaches and implications. Journal of intelligent systems, 15 (1), pages 1-14, 2006.
  86. Yongmin Li. Enhancing Coursework Feedback Using Digital Ink. In the 7th Annual Learning and Teaching Symposium, Brunel University, 2006.
  87. Y. Li. On incremental and robust subspace learning. Pattern Recognition, 37(7), pages 1509-1518, 2004.
  88. Y. Li, S. Gong, J. Sherrah and H. Liddell. Support Vector Machine based multi-view face detection and recognition. Image and Vision Computing, 22(5), pages 413-427, 2004.
  89. Y. Li, S. Gong and H. Liddell. Constructing facial identity surfaces for recognition. International Journal of Computer Vision, 53(1), pages 71-92, 2003.
  90. Y. Li, S. Gong and H. Liddell. Recognising trajectories of facial identities using Kernel Discriminant Analysis. Image and Vision Computing, 21(13-14), Pages 1077-1086, December 2003.
  91. Y. Li, L-Q. Xu, J. Morphett and R. Jacobs. On incremental and robust subspace learning. In Proc. International Workshop on Statistical and Computational Theories of Vision (SCTV2003), Nice, France, October 2003.
  92. Y. Li, L-Q. Xu, J. Morphett and R. Jacobs. An Integrated Algorithm of Incremental and Robust PCA. In Proc. IEEE International Conference on Image Processing (ICIP2003), Barcelona, Spain, September 2003.
  93. Y. Li, L-Q. Xu, G. Morrison, C. Nightingale and J. Morphett. Robust panorama from MPEG video. In Proc. IEEE International Conference on Multimedia and Expo (ICME2003), Baltimore, USA, July 2003.
  94. L-Q. Xu and Y. Li. Video classification using spatial-temporal features and PCA. In Proc. IEEE International Conference on Multimedia and Expo (ICME2003), Baltimore, USA, July 2003.
  95. Yongmin Li. Dynamic face models: construction and applications. PhD Thesis, Queen Mary, University of London. 2001.
  96. Y. Li, S. Gong and H. Liddell. Constructing facial identity surfaces in a nonlinear discriminating space . In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR2001), Kauai Marriott, Hawaii, December 2001.
  97. Y. Li, S. Gong and H. Liddell. Recognising trajectories of facial identities using Kernel Discriminant Analysis . In Proc. British Machine Vision Conference (BMVC2001), pages 613-622, Manchester, UK, September 2001. BMVA Best Scientific Paper Award 2001.
  98. Y. Li, S. Gong and H. Liddell. Constructing structures of facial identities on the view sphere using Kernel Discriminant Analysis . In Proc. International Workshop on Statistical and Computational Theories of Vision (SCTV2001), Vancouver, Canada, July 2001.
  99. Y. Li, S. Gong and H. Liddell. Video-based online face recognition using identity surfaces . In Proc. IEEE International Workshop on Recognition, Analysis and Tracking of Faces and Gestures in Real-time Systems (RATFG-RTS 2001), pages 40-46, Vancouver, Canada, July 2001. Best Paper Prize.
  100. Y. Li, S. Gong and H. Liddell. Modelling faces dynamically across views and over time . In Proc. IEEE International Conference on Computer Vision (ICCV2001), volume 1, pages 554-559, Vancouver, Canada, July 2001.
  101. Y. Li, S. Gong and H. Liddell. Exploiting the dynamics of faces in spatial-temporal context . In Proc. International Conference on Control, Automation, Robotics and Vision (ICARCV2000), Singapore, December 2000.
  102. Y. Li, S. Gong and H. Liddell. Recognising the dynamics of faces across multiple views . In Proc. British Machine Vision Conference (BMVC2000), pages 242-251, Bristol, England, September 2000.
  103. Y. Li, S. Gong, J. Sherrah and H. Liddell. Multi-view face detection using Support Vector Machines and eigenspace modelling . In Proc. IEEE International Conference on Knowledge-Based Intelligent Engineering Systems & Allied Technologies (KES2000), pages 241-244, Brighton, England, August 2000.
  104. Y. Li, S. Gong and H. Liddell. Support vector regression and classification based multi-view face detection and recognition . In Proc. IEEE International Conference on Face and Gesture Recognition (FG2000), pages 300-305, Grenoble, France, March 2000.
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