Dr Yongmin Li
Reader - Computer Science
Dr. Yongmin Li received his PhD from Queen Mary, University of London, MEng and BEng from Tsinghua University, China. Before joining Brunel University London, he worked as a research scientist in the British Telecom Laboratories. Dr. Li is a Senior Member of the IEEE, and Fellow of the Higher Education Academy. His research interest covers the areas of data science, machine learning, artificial intelligence, image processing, computer vision, video analysis, medical imaging, bio-imaging, biomedical engineering, healthcare technologies, automatic control and nonlinear filtering.Together with his colleagues, he has won the Most Influential Paper over the Decade Award at MVA 2019 and Best Paper Awards at Bioimaging 2018, HIS 2012, BMVC 2007, BMVC 2001 and RATFG 2001.
PhD Studentships: We invite talented and hard-working students to join us for their PhD study. From time to time, we may have studentships available, which include an annual bursary (about £17,000 this year) plus payment of tuition fees for three years. Currently we have several projects on-going, for example, Deep Learning for Medical Imaging, Natural Language Processing for Tax Assessment, and Image/Video Content Generation for Personalised Remarketing. But any other topics within the area of artificial intelligence and data science would also be welcome. Contact me for details if interested.
Master of Science in Artificial Intelligence 2021/22: Built on our strong international research profile (consistently ranked in the top 100 in the world, 1st in UK for H-index and Highly Cited Papers for 3 years in a row from 2018-2020, and 3rd in UK for overall performance in "the NTU Performance Ranking of Scientific Papers for World Universities", Subject: Computer Science, 2020), we offer the MSc Artificial Intelligence course with great flexibility (1 year full-time, 2 year part-time or 3 year staged study). If you are interested, apply here. 15 Scholarships available for applicants from under-represented groups, £10,000 of each.
Newest selected publications
Ruta, A. and Li, Y. (2012) 'Learning pairwise image similarities for multi-classification using Kernel Regression Trees'. Pattern Recognition, 45 (4). pp. 1396 - 1408. ISSN: 0031-3203
Yang, F. and Li, Y. (2011) 'Set-membership filtering for polytopic uncertain discrete-time systems'. International Journal of General Systems, 40 (7). pp. 741 - 754. ISSN: 0308-1079
Salazar-Gonzalez, AG., Li, Y. and Liu, X. (2011) 'Optic disc segmentation by incorporating blood vessel compensation'.2011 IEEE SSCI Third International Workshop on Computational Intelligence in Medical Imaging (CIMI 2011). IEEE. pp. 1 - 8.Open Access Link
Ruta, A., Porikli, F., Watanabe, S. and Li, Y. (2011) 'In-vehicle camera traffic sign detection and recognition'. Machine Vision and Applications, 22 (2). pp. 359 - 375. ISSN: 0932-8092
Ruta, A., Li, Y. and Liu, X. (2010) 'Robust class similarity measure for traffic sign recognition'. IEEE Transactions on Intelligent Transportation Systems, 11 (4). pp. 846 - 855. ISSN: 1524-9050