Professor Yudong Zhang

Professor of Knowledge Discovery and Machine Learning

Department: Computing and Mathematic Sciences, School of



Prof. Yudong Zhang worked as a postdoc from 2010 to 2012 with Columbia University, USA, and as an Assistant Research Scientist from 2012 to 2013 with the Research Foundation of Mental Hygiene (RFMH), USA. He served as a Full Professor from 2013 to 2017 with Nanjing Normal University. Now he serves as a professor at the School of Computing and Mathematical Sciences, University of Leicester, UK. His research interests include deep learning and medical image analysis.
He is the Fellow of IET, Fellow of EAI, Fellow of BCS. He is the Senior Members of IEEE, IES, and ACM. He is the Distinguished Speaker of ACM. He was included in Most Cited Chinese Researchers (Computer Science) by Elsevier from 2014 to 2018. He was the 2019 & 2021 recipient of Highly Cited Researcher by Clarivate. He won the Emerald Citation of Excellence 2017 and MDPI Top 10 Most Cited Papers 2015. He is included in Top Scientist in He is the author of over 300 peer-reviewed articles, including more than 50 ESI Highly Cited Papers and 5 ESI Hot Papers. His citation reached 18192 in Google Scholar (h-index 75) and 10680 in Web of Science (h-index 57). He has conducted many successful industrial projects and academic grants from NIH, Royal Society, GCRF, EPSRC, MRC, British Council, and NSFC. He has given over 120 invited talks at international conferences, universities, and companies. He has served as (Co-)Chair for more than 60 international conferences and workshops.


  • 2022/1-2022/12, PI, Explainable AI for breast cancer detection, LIAS Pioneering Partnership, UK
  • 2022/1-2022/12, PI, Development of an integrative AI and liquid biopsy approach to improve early detection of head and neck cancer recurrence, Hope Foundation for Cancer Research, UK
  • 2021/6-2022/6, Co-I, Developing a Prototype Artificial Intelligence-based Eye Tracker (A-EYE) for the Diagnosis and Monitoring of Eye Movement Disorders, Fight for Sight, UK
  • 2021/1-2021/12, PI, Fully optimized deep neural network for computer-aided tuberculosis detection, Global Challenges Research Fund (GCRF)/UK Research and Innovation (UKRI)
  • 2021/1-2022/12, Co-I, Developing a Rapid Optic Nerve Intelligent Neural (RONIN) network, MRC, UK
  • 2021/1-2021/12, PI, To develop an Artificial Intelligence (AI) diagnosis model for Tetralogy of Fallot (ToF) diseases, Sino-UK Industrial Fund
  • 2020-2022, Co-I, Micro-RNAs and fibrosis progression in asymptomatic Aortic Stenosis: towards an integrated imaging and biomarker precision medicine approach to risk stratification, British Heart Foundation, UK
  • 2019-2021, PI, A high-performance fast low-dose deep CT imaging algorithm, International Exchanges Cost Share 2018 China (NSFC), Royal Society, UK
  • 2019-2020, Co-I, Application of Artificial Intelligence in Paediatric Ophthalmology, Medical Research Council Confidence in Concept Award (MRC-CiC), administered via LD3, UK, £60k
  • 2018-2020, PI, Can AI predict the tumour genotype from mammograms, Hope Foundation for Cancer Research, LCRC, UK,
  • 2016-2018, PI, Principles of Fast compressed sensing MRI based on feature selection and template matching (BK20150983), Natural Science Foundation of Jiangsu Province
  • 2017-2021, Co-I, High-performance large-scale metal component multi-arc synergy additive manufacturing equipment and process, National key research and development plan of China, CNY 1.9M
  • 2017-2019, PI, Researches on robust pathological brain detection for unbalanced magnetic resonance imaging data (61602250), National Natural Science Foundation of China (NSFC), £24k
  • 2013-2016, Co-I, The exclusive and shared spectrum allocation model with efficient transmission system (61271204), National Natural Science Foundation of China (NSFC), £80k
  • 2010-2015, Children at High and Low Risk for Depression, $7.1M
  • 2015-2015, Impact of Prenatal and Early Childhood Environmental Tobacco Smoke Exposure on Brain Development, $4.9M



(0) 1. S Goh, Z Dong, Y Zhang, S DiMauro, B S. Peterson*, Mitochondrial dysfunction as a neurobiological subtype of autism spectrum disorder: evidence from brain imaging. JAMA Psychiatry, 2014, 71(6): 665-671 
2. Y Zhang, et al, Prediction of Alzheimer’s disease and mild cognitive impairment based on structural volumetric MR images by 3D discrete wavelet transform and artificial neural network. Alzheimer’s & Dementia, 2015, 11(S7): 78-79 
3. I Mehmood, Z Lv, YD Zhang*, K Ota*, M Sajjad*, A K Singh*, Mobile Cloud-Assisted Paradigms for Management of Multimedia Big Data in Healthcare Systems: Research Challenges and Opportunities, International Journal of Information Management, 2019, 45: 246-249 
4. Y Karaca*, M Moonis, Y D Zhang, C Gezgez, Mobile Cloud Computing Based Stroke Healthcare System, International Journal of Information Management, 2019, 45: 250-261 
5. S Wang, M. E Celebi, Y D Zhang, et al, Advances in data preprocessing for biomedical data fusion: an overview of the methods, challenges, and prospects, Information Fusion, 2021, 76: 376-421 
6. S H Wang, D R Nayak, D S Guttery, X Zhang, YD Zhang*, COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis, Information Fusion, 2021, 68: 131-148 
7. S H Wang, V V Govindaraj, J M Górriz, X Zhang, YD Zhang*, Covid-19 Classification by FGCNet with Deep Feature Fusion from Graph Convolutional Network and Convolutional Neural Network, Information Fusion, 2021, 67: 208-229
8. Y D Zhang, et al, Advances in Multimodal Data Fusion in Neuroimaging: Overview, Challenges, and Novel Orientation, Information Fusion, 2020, 64: 149-187 
9. C Kang, X Yu, S-H Wang*, D S Guttery*, H M Pandey*, Y Tian*, Y-D Zhang*, A Heuristic Neural Network Structure Relying on Fuzzy Logic for Images Scoring, IEEE Transactions on Fuzzy Systems, 2021, 29(1): 34-45
10. S Alagarsamy, Y Zhang, V Govindaraj, P R Murugan, S Sankaran, Smart identification of topographically variant anomalies in brain magnetic resonance imaging using a fish school-based fuzzy clustering approach, IEEE Transactions on Fuzzy Systems, 2021, 29(10): 3165-3177 
11. Y Chen, Y Zhang, J Yang, Q Cao, G Yang, J Chen, Hg Shu, L Luo, J L Coatrieux, Q Feng, Curve-like structure extraction using minimal path propagation with backtracking, IEEE Transactions on Image Processing. 2016, 25(2): 988-1003 
12. M Martinez-Garcia, Y Zhang, K Suzuki, Yudong Zhang, Deep Recurrent Entropy Adaptive Model for System Reliability Monitoring, IEEE Transactions on Industrial Informatics, 2021, 17(2): 839-848 
13. P Qian, Y Chen, J-W Kuo, Y-D Zhang, et al, mDixon-Based Synthetic CT Generation for PET Attenuation Correction on Abdomen and Pelvis Jointly Using Transfer Fuzzy Clustering and Active Learning-Based Classification, IEEE Transactions on Medical Imaging, 2020, 39(4): 819-832 
14. Y Sun, P Chatterjee, Y Chen, Y Zhang, Efficient Identity-based Encryption with Revocation for Data Privacy in the Internet of Things, IEEE Internet of Things Journal, 2021, doi: 10.1109/JIOT.2021.3109655 
15. X Yu, Q Zhou, S-H Wang*, Y-D Zhang*, A systematic survey of deep learning in breast cancer, International Journal of Intelligent Systems, 2022, 37(1): 152-216 
16. S Lu, Z Zhu, J M Gorriz, S-H Wang, Y-D Zhang*, NAGNN: Classification of COVID-19 Based on Neighboring Aware Representation from Deep Graph Neural Network, International Journal of Intelligent Systems, 2021, doi: 10.1002/int.22686 
17. YD Zhang, et al, Advanced Deep Learning Methods for Biomedical Information Analysis: An editorial, Neural Networks, 2021, 133: 101-102 
18. A Kumar, A R Tripathi, S C Satapathy, Y D Zhang, SARS-Net: COVID-19 Detection from Chest X-Rays by Combining Graph Convolutional Network and Convolutional Neural Network, Pattern Recognition, 2022, 122, Article ID: 108255 
19. X Zhang, Y Chen, Z Shen, Y Shen, H Zhang, Y Zhang, Confidence-and-Refinement Adaptation Model for Cross-Domain Semantic Segmentation, IEEE Transactions on Intelligent Transportation Systems, 2022, doi: 10.1109/TITS.2022.3140481
20. J Liu, Y Chen, H Liu, H Zhang, Y Zhang, From Less to More: Progressive Generalized Zero-Shot Detection With Curriculum Learning, IEEE Transactions on Intelligent Transportation Systems, 2022, doi: 10.1109/TITS.2022.3151073 
21. X Mao, T Shi, R Zhan, YD Zhang, D Zhu, Structure-Aided 2-D Autofocus for Airborne Bistatic Synthetic Aperture Radar, IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(9): 7500-7516
22. S Liu, L Gao, Y Lei, M Wang, Q Hu, X Ma, YD Zhang, SAR Speckle Removal using Hybrid Frequency Modulations, IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(5): 3956-3966 
23. X Mao, Lan Ding, Y Zhang, et al, Knowledge-aided 2-D Autofocus for Spotlight SAR Filtered Backprojection Imagery, IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(11): 9041-9058
24. Y Chen, Y Zhang, et al, Structure-adaptive Fuzzy Estimation for Random-Valued Impulse Noise Suppression, IEEE Transactions on Circuits and Systems for Video Technology, 2018, 28(2): 414-427
25. S Liu, L Zhao, X Wang, Q Xin, J Zhao, D S. Guttery, YD Zhang, Deep Spatio-Temporal Representation and Ensemble Classification for Attention deficit/Hyperactivity disorder, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2021, 29: 1-10
26. C Kang, Y Li, D Novak, Y Zhang, et al., Brain Networks of Maintenance, Inhibition and Disinhibition during Working Memory, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2020, 28(7): 1518-1527
27. X Yu, C Kang, D S Guttery, S Kadry, Y Chen, YD Zhang*, ResNet-SCDA-50 for breast abnormality classification, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021, 18(1): 94-102
28. Q Zhou, X Zhang*, YD Zhang*, Ensemble learning with attention-based multiple instance pooling for classification of SPT, IEEE Transactions on Circuits and Systems II: Express Briefs, 2021, doi: 10.1109/TCSII.2021.3124165
29. SH Wang, YD Zhang*, DenseNet-201-based deep neural network with composite learning factor and precomputation for multiple sclerosis classification, ACM Transactions on Multimedia Computing Communications and Applications, 2020, 16(2s), Article Number: 60
30. Z Zhang, X Zhu, G Lu, Y Zhang, Probability Ordinal-preserving Semantic Hashing for Large-Scale Image Retrieval, ACM Transactions on Knowledge Discovery from Data, 2021, 15(3): 37
31. S Liu, X Hu, SH Wang, YD Zhang, et al., Mixing patterns in social trust networks: A social identity theory perspective, IEEE Transactions on Computational Social Systems, 2021, 8(5): 1249-1261


  • Our team consists of 3 staffs, 12 PhD students, 3 MPhil stuents, and 15 visiting students/scholars.
  • The full list of our research team can be found in the page.
  • For visitors, If you are a student, please refer to the page. If you have gained PhD degree or hold a rank of Associate Professor or above, please email me.


Press and media

I am happy to talk about any topic related to artificial intelligence.


  • Fellow of IET (FIET)
  • Fellow of EAI (FEAI)
  • Fellow of BCS (FBCS)
  • Senior Member of IEEE (SMIEEE)
  • Senior Member of ACM (SMACM)
  • Distinguished Speaker of ACM
  • Associate Fellow of Higher Education Academy


He reaches overall 10785 citations and h-index of 58 in ISI Web of Knowledge, and 18868 citations and h-index of 76 in Google Scholar.

He won


He served as General Chair/Co-chair/TPC chair/workshop chair/session chair of IEEE/Springer conferences, including

  • 2nd EAI International Conference on Multimedia Technology and Enhanced Learning (ICMTEL), Leicester, UK
  • Third International Conference on Smart Trends for Computing and Communications (SmartComm), Bangkok, Thailand
  • 15th International Work-Conference on Artificial Neural Networks (IWANN), 2019, Gran Canaria, Spain
  • IEEE Smart World Congress, 2019, Leicester, UK
  • International Congress on Information and Communication Technology (ICICT), 2019, London, UK
  • International Conference on Computational Science and its Applications (ICCSA), 2019, Saint Petersburg, Russia
  • International Conference on Industrial Informatics (INDIN), 2019, Helsinki-Espoo, Finland
  • 7th International Conference On Frontiers Of Intelligent Computing: Theory And Application (FICTA), 2018, Viet Nam
  • IEEE World Conference on Smart Trends in Systems, Security and Sustainability (WS4), 2018, London, UK
  • 23rd IEEE International Conference on Digital Signal Processing (DSP) 2018, Shanghai, China
  • 27th IEEE International Symposium on Robot and Human Interactive Communication (Ro-Man) 18, Nanjing, China
  • 2nd International Symposium on Artificial Intelligence and Robotics (ISAIR), 2017, Japan
  • 12th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities (TRIDENT), 2017, Wuhan, China
  • 8th International Conference on Wireless Communications and Signal Processing (WCSP), 2016, Yangzhou, China
  • etc.

He served as senior committee members in following conferences:

  • Dec/2019, International Advisory Committee, Kalasalingam Global Conference (KGC), Tamil Nadu, India
  • Oct/2019, Organizing Committee, 2nd International Conference on Neurovascular and Neurodegenerative Diseases (NVND), Paris, France
  • Sep/2019, International Program Committee, Fifth International Conference on Sensors and Electronic Instrumentation Advances (SEIA), Canary Islands (TENERIFE), Spain
  • June/2019, Steering Committee, Workshop for Sino-UK to Promote the Development and Application of Artificial Intelligence, Leicester, UK
  • March/2019, International Advisory Board, 4th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA), Cario, Egypt
  • March/2018, Scientific Committee, 3rd International Conference on Brain Computer Interfaces (BCI), Opole, Poland
  • June/2017, Steering committee, International Conference on Neuroscience and Cognitive Brain Information (BrainInfo), Nice, France
  • March/2017, International Advisory Board, 4th International Conference on Converging Technologies & Management (CTM), Jaipur, India
  • Oct/2016, International Advisory committee, International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), Semarang, Indonesia.

He served as TPCs of a dozens of IEEE/Springer Conferences Conferences.


  • Deep learning
  • Convolutional neural networks
  • Graph convolutional networks
  • Attention networks
  • Explainable AI
  • Biomedical image analysis
  • Bio-inspired computing
  • Pattern recognition
  • Transfer learning
  • Medical sensor


  • 2007-2010, he was awarded a Ph.D. degree in Signal and Information Processing from Southeast University.
  • 2004-2007, he received MPhil degree (3-year program) in Information Sciences from Nanjing University of Aeronautics and Astronautics.
  • 2000-2004, he received Bachelor of Engineering (BE) degree from Nanjing University of Aeronautics and Astronautics
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