Biography
Professor Yanwu Xu is a dual-appointed Research Fellow at Pazhou LAB. He is the former Chief Scientist of Baidu Intelligent Healthcare. He also serves as an Expert Member of the WHO Digital Health Technical Advisory Group, and Adjunct Professor at the Singapore Eye Research Institute. He is a Senior Member of IEEE, a Member of the IEEE Biomedical Signal Processing (BISP) Technical Committee, Vice Chair of the Ophthalmology Subcommittee of the International Association of Translational Medicine (IATM), Vice Chair of the Digital Imaging and Intelligent Medicine Subcommittee of the Chinese Association of Medical Education, Standing Committee Member of the CCF Digital Medicine Technical Committee, Standing Committee Member of the Intelligent Ophthalmology Subcommittee of the Chinese Association of Medical Education, and Committee Member of the Science, Technology and Industrial Promotion Working Committee of the Chinese Society of Biomedical Engineering as well as the Big Data and AI Medicine Subcommittee of the Beijing Society of Health Law.
Professor Xu has led over RMB 45 million in national-level research projects (excluding matching funds) and over RMB 48 million in industry-sponsored projects. He has published more than 160 papers in international journals and conferences, including over 30 papers in top-tier journals (impact factor >10) and 4 highly cited papers, with over 12,500 Google Scholar citations and an H-index of 50. He holds over 10 international patents and more than 40 Chinese patents.
He currently serves on the organizing committees of top-tier medical imaging conferences MICCAI and IPMI, and as an Editorial Board Member for Scientific Data, Medical Imaging, and BioMedical Engineering Online, all under Springer Nature. He is also a Founding Editorial Board Member of Intelligent Medicine (an English journal under the China Science and Technology Journals Excellence Action Plan sponsored by the Chinese Medical Association) and the Chinese journal Digital Medicine and Health. Professor Xu has served as an Area Chair or Program Committee Member for major AI conferences including AAAI, ICCV, and ICML. He is the Founding Chair of the International Ophthalmic Medical Image Analysis Workshop (OMIA) and the iChallenge competition platform.
Professor Xu has been appointed as a Distinguished Expert of the Ministry of Public Security’s Talent Introduction Program, a Distinguished Expert of Zhejiang Province, and a Distinguished Expert of Beijing. He has been recognized as an Outstanding Reviewer for MICCAI, an Excellent Reviewer by the China Association for Science and Technology, and an Outstanding Area Chair for MICCAI. He has also been listed for four consecutive years in the “World’s Top 2% Scientists” list published by Stanford University.
Personal Website
https://sites.google.com/site/xuyanwu1982/home
Education
September 2004 – July 2009 Doctor of Engineering, University of Science and Technology of China (USTC), Computer Applied Technology
September 2000 – July 2004 Bachelor of Engineering, University of Science and Technology of China (USTC), Computer Science and Theory
Work Experience
July 2023 – present Tenured Professor, School of Future Technology, South China University of Technology
December 2020 – present Chief AI Consultant for Smart Healthcare, Topcon China
January 2020 – present Adjunct Principle Investigator, Singapore Eye Research Institute (SERI)
September 2019 – present Expert, Digital Health Technical Advisory Group, World Health Organization (WHO)
July 2016 – present Adjunct Researcher / Adjunct Professor, Cixi Institute of Biomedical Engineering, Chinese Academy of Sciences (CAS)
September 2018 – May 2023 Chief Scientist, HealthCare Group, Baidu
July 2017 – July 2018 Scientist, Central Research Institute, Guangzhou Shiyuan Electronic Technology Co., Ltd. (CVTE)
August 2011 – June 2017 Research Scientist, Institute for Infocomm Research (I2R, A*STAR), Singapore
July 2009 – July 2011 Post-doctoral Research Fellow, School of Computer Engineering, Nanyang Technological University (NTU), Singapore
Research Projects
1. Research ProjectsNational Natural Science Foundation of China (General Program), Grant No. 6257010864, RMB 500,000, Principal Investigator, 2026.01 – 2029.12
2.Guangzhou Science & Technology Program, Grant No. 2024D03J0013, RMB 10 million, Principal Investigator, 2024.12 – 2029.12
3.Guangdong Provincial Key Special Project on Artificial Intelligence, Grant No. PZL2023ZZ0007, RMB 3 million, Principal Investigator, 2023.07 – 2026.07
4.Peng Cheng Laboratory Large-scale Medical & Healthcare Simulation System, Grant No. SZCG2022000163, RMB 43.395 million, Principal Investigator, 2022.06 – 2023.06
5. Ministry of Industry and Information Technology & National Medical Products Administration “AI Medical Device Innovation Mission” (揭榜挂帅), one of the 10 national awardees and the only ophthalmology project, Principal Investigator, 2022.08 – 2023.12
6.Singapore National Research Foundation Grant (Agency for Science, Technology and Research — BEP-POV), Angle-closure Glaucoma Assessment & Recognition System (AGAR+), SGD 1.5 million, Principal Investigator, 2015.10 – 2017.09
7.Singapore National Research Foundation Grant (A*STAR BEP-POC), High-definition Anterior-chamber Angle & Aqueous Imaging Technology and System, SGD 500,000, Co-Principal Investigator, 2016.10 – 2018.03
8.Singapore National Research Foundation Grant (SingHealth RRG), Automatic Low-vision Rehabilitation System based on Real-time Gaze Tracking (ARIANA), SGD 250,000, Co-Principal Investigator, 2016.10 – 2018.09
9.Singapore National Research Foundation Grant (A*STAR ETPL), Cloud-based Fundus Image Disease Screening Platform (ALPACIA), SGD 1.8 million, Co-Principal Investigator, 2013.03 – 2015.09
Selected Publications
[1] Wu, J., Fang, H., Zhu, J., Zhang, Y., Li, X., Liu, Y., Liu, H., Jin, Y., Huang, W., Liu, Q., Chen, C., Liu, Y., Duan, L., Xu, Y.*, Xiao, L., Yang, W., Liu, Y. (2024). Multi-rater Prism: Learning self-calibrated medical image segmentation from multiple raters. Science Bulletin, IF2024=21.80, JCR-Q1, 2906-2919
[2] Wu, J., Fang, H., Li, F., Fu, H., Lin, F., Li, J., Huang, Y., Yu, Q., Song, S., Xu, X., Xu, Y., Wang, W., Wang, L., Lu, S., Li, H., Huang, S., Lu, Z., Ou, C., Wei, X., Liu, B., Kobbi, R., Tang, X., Lin, L., Zhou, Q., Hu, Q., Bogunović, H., Orlando, J. I., Zhang, X., Xu, Y*. (2023). GAMMA challenge: Glaucoma grAding from Multi-Modality imAges . Medical Image Analysis (MedIA), IF2024=11.80, JCR-Q1, 102938
[3] Zhang, X., …, Xu, Y.*, Higashita, R. & Liu, J. (2022). Attention to region: Region-based integration-and-recalibration networks for nuclear cataract classification using as-oct images. Medical Image Analysis (MedIA), IF2021=13.828, JCR-Q1, 102499
[4] Fang, H., Li, F., ..., Zhang, X. & Xu, Y.*, (2022). Adam challenge: Detecting age-related macular degeneration from fundus images. IEEE Transactions on Medical Imaging (TMI), IF2021=11.037, JCR-Q1, 41(10), 2828–2847
[5] Li, F., ..., Xu, Y*., Ting, D. S. & Zhang, X. (2022). Digital gonioscopy based on three-dimensional anterior segment optical coherence tomography: An international multicenter study. Ophthalmology, IF2021=14.277, JCR-Q1, 129(1):45-53
[6] Yang, Y., ..., Xu, Y.*, Zhang, W. & Zhang, T. (2021). Robust collaborative learning of patch-level and image-level annotationsfor diabetic retinopathy grading from fundus image. IEEE Transactions on Cybernetics (T-CYB), IF2019=11.079, JCR-Q1
[7] Fu, H., Li, F., Sun, X., Cao, X., ..., Zhang, X. & Xu, Y.*(2020). Age challenge: Angle closure glaucoma evaluation in anterior segment optical coherence tomography. Medical Image Analysis (MedIA), IF2020=8.545, JCR-Q1, 66, 101798.
[8] Fu, H., Xu, Y.*, Lin, S., Wong, D. W. K., Baskaran, M., Mahesh, M., Aung, T. & Liu, J. (2020). Angle-closure detection in anterior segment oct based on multi-level deep network. IEEE Transactions on Cybernetics (T-CYB), IF2020=11.448, JCR-Q1, 50(7), 3358–3366.
[9] Fu, H., Cheng, J., Xu, Y.*, Wong, D. W. K., Liu, J. & Cao, X. (2018). Joint optic disc and cup segmentation based on multi-label deep network and polar transformation. IEEE Transactions on Medical Imaging (TMI), IF2020=10.048, JCR-Q1, 37(7), 1597–1605.
[10] Fu, H., Cheng, J., Xu, Y.*, Zhang, C., Wong, D. W. K., Liu, J. & Cao, X. (2018). Disc-aware ensemble network for glaucoma screening from fundus image. IEEE Transactions on Medical Imaging (TMI), IF2020=10.048, JCR-Q1, 37(11), 2493–2501.
[11] Fu, H., Xu, Y.*, Lin, S., Zhang, X., Wong, D. W. K., Liu, J., Frangi, A. F., Baskaran, M. & Aung, T. (2017). Segmentation and quantification for angle-closure glaucoma assessment in anterior segment oct. IEEE transactions on medical imaging (TMI), IF2020=10.048, JCR-Q1, 36(9), 1930–1938.
Some PCT patents that grant commercial licenses to multinational corporations:
[1] US9715640.B2. Robust graph representation and matching of retina images.
[2] US9501823.B2. Methods and systems for characterizing angle closure glaucoma for risk assessment or screening.
[3] US10145669.B2. Reducing speckle noise in optical coherence tomography images.
