Yu-Dong Zhang


Chair in Knowledge Discovery and Machine Learning


  • 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


F26, Informatics Building
School of Computing and Mathematical Sciences
University of Leicester, 
University Road, 
Leicester, LE1 7RH, UK
Email: yudongzhang@ieee.org, yudong.zhang@le.ac.uk

Research Profile


He reaches overall 10785 citations and h-index of 58 in ISI Web of Knowledge, and 18296 citations and h-index of 75 in Google Scholar.

He won

Research Interest

  • 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


  • 2017-now, Professor in University of Leicester, UK
  • 2013-2017, Professor in Nanjing Normal University, China
  • 2012-2013, Assistant Research Scientist, Research Foundation of Mental Hygiene (RFMH), New York, USA
  • 2010-2012, Postdoc, Columbia University Medical Center, New York, USA

Honorary Professor

  • Henan Polytechnic University
  • King Abdulaziz University
  • Hebei University

Update (Studentship and Jobs)


Five papers were included in "ESI Hot Paper" list, and more than 50 papers were included in "ESI High-cited Paper" list.

  • S Goh, Z Dong, Y Zhang, et al, Mitochondrial dysfunction as a neurobiological subtype of autism spectrum disorder: evidence from brain imaging. JAMA Psychiatry, 2014, 71(6): 665-671
  • Y D Zhang, Z Dong, S H Wang, et al. Advances in Multimodal Data Fusion in Neuroimaging: Overview, Challenges, and Novel Orientation, Information Fusion, 2020, 64: 149-187
  • S H Wang, V V Govindaraj, J M Górriz, X Zhang, Y D Zhang, Covid-19 Classification by FGCNet with Deep Feature Fusion from Graph Convolutional Network and Convolutional Neural Network, Information Fusion, 2021, 67: 208-229
  • S H Wang, D R Nayak, D S Guttery, X Zhang, Y D Zhang, COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis, Information Fusion, 2021, 68: 131-148
  • Y Xiao, H Yin*, Y Zhang*, H Qi, Y Zhang, Z Liu, A dual-stage attention-based Conv-LSTM network for spatio-temporal correlation and multivariate time series prediction, International Journal of Intelligent Systems, 2021, doi: 10.1002/int.22370
  • 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
  • S Alagarsamy, Y D Zhang, et al, Smart Identification of Topographically Variant Anomalies in Brain Magnetic Resonance Imaging Using a Fish School based Fuzzy Clustering Approach, IEEE Transactions on Fuzzy Systems, 2020, doi: 10.1109/TFUZZ.2020.3015591
  • Y Chen, Y Zhang, et al, Curve-like structure extraction using minimal path propagation with backtracking, IEEE Transactions on Image Processing. 2016, 25(2): 988-1003
  • Miguel Martinez-Garcia, Yu Zhang, Kenji Suzuki, Y D Zhang, Deep Recurrent Entropy Adaptive Model for System Reliability Monitoring, IEEE Transactions on Industrial Informatics, 2021, 17(2): 839-848
  • S Liu, X Wang, L Zhao, B Li, W Hu, J Yu, Y D Zhang*, 3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition, IEEE Journal of Biomedical and Health Informatics, 2021, doi: 10.1109/JBHI.2021.3083525
  • 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
  • I Mehmood, Z H Lv, Y D Zhang, et al, 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
  • 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
  • Y Zhang, et al, Binary PSO with Mutation Operator for Feature Selection using Decision Tree applied to Spam Detection. Knowledge-Based Systems, 2014, 64: 22-31 (ESI Highly Cited Paper)
  • X Hu, S Liu*, Y Zhang, G Zhao, C Jiang, Identifying top persuaders in mixed trust networks for electronic marketing based on word-of-mouth, Knowledge-based Systems, 2019, 182: 104803
  • Y Zhang, et al, Exponential Wavelet Iterative Shrinkage Thresholding Algorithm for Compressed Sensing Magnetic Resonance Imaging. Information Sciences, 2015, 322: 115-132 (ESI Hot Paper)
  • X Mao, L 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
  • S Liu, L Gao, Y Lei, M Wang, Q Hu, X Ma, Yu-Dong Zhang, SAR Speckle Removal using Hybrid Frequency Modulations, IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(5): 3956-3966
  • Recent publications can be found at Publication Page.

Research Grant

  • 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)
  • 2021/1-2021/12, 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, Co-I, 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


Journal Appointment

In the past, Dr. Yu-Dong Zhang served as AEs of IEEE TITS, IEEE TCSVT, Neural Networks, Journal of Alzheimer's Disease, etc.

He served as leading guest editor of Information Fusion, IEEE Access, etc.

He served as guest editor of IEEE TITS, International Journal of Information Management, and other peer-reviewed journals.


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.

Visiting Positions

  • Oct/2017, National Institute of Technology, Rourkela, India (Supported by GIAN Project)
  • Jan/2017, Kyushu Institute of Technology, Japan

Academic Talk

Doctoral School Teaching

  • June/2019, Fundamentals and hands-on guide of deep learning, Hasselt University, Belgium
  • March/2019, Fundamentals of Convolutional Neural Networks, University of Leicester, UK
  • July/2018, DeepLearn 2018, Genova, Italy (Other speakers are from top universities, e.g., Massachusetts Institute of Technology, Princeton University, Carnegie Mellon University, Imperial College London, Swiss Federal Institute of Technology Zurich, Nanyang Technological University, French National Center for Scientific Research, University of California, University of Maryland, Tokyo Institute of Technology, University of Florida, RWTH Aachen University, Rensselaer Polytechnic Institute, Rutgers University, KU Leuven, etc.,)

Invited Talks

  • Dec/2018, Guilin University of Electronic Technology, China
  • Dec/2018, East China Normal University, China
  • Dec/2018, Nanjing Agricultural University, China
  • Dec/2018, Shaanxi Normal University, China
  • Dec/2018, Henan Polytechnic University, China
  • Dec/2018, Shandong University of Technology, China
  • Dec/2018, Hebei University, China
  • Dec/2018, Beijing Institute of Technology, China
  • May/2018, Department of Mathematics, University of Leicester, UK
  • April/2018, Institute of Mathematics, Polish Academy of Sciences, Poland
  • April/2018, University of Warsaw, Poland
  • Nov/2017, North China University of Science and Technology, China
  • Nov/2017, Nanjing Stomatological Hospital, China
  • May/2017, Southeast University, Nanjing, Jiangsu, China
  • Jan/2017, Shanghai Dianji University, Shanghai, China
  • Dec/2016, Zhongnan University of Economics and Law, Wuhan, Hubei, China
  • Nov/2016, Henan Polytechnic University, Jiaozuo, Henan, China
  • Nov/2016, Xi'an University of Technology, Xi'an, Shaanxi, China
  • Nov/2016, Changzhou University, Changzhou, Jiangsu, China
  • July/2016, Jilin University, Changchun, Jilin, China
  • May/2015, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China
  • May/2014, Zhejiang Normal University, Jinhua, Zhejiang, China
  • Oct/2013, Hohai University, Changzhou, Jiangsu, China
  • March/2013, Nanjing University of Science and Technology, Nanjing, Jiangsu, China

Keynote Talks

  • July/2019, Intelligent Computing and Smart Communication Technologies (ICSCT), Springer, Telangana, India
  • Feb/2019, Fourth International Congress on Information and Communication Technology (ICICT), IEEE, London, UK
  • Oct/2018, World Conference on Smart Trends in Systems, Security & Sustainability (WS4), IEEE, London, UK
  • March/2017, 4th International Conference on Converging Technologies & Management (CTM), Jaipur, India
  • Dec/2016, 1st International Symposium on Artificial Intelligence and Robotics (ISAIR), Wuhan, China
  • Sep/2015, 5th International Conference on Computer Engineering and Networks (CENET), Shanghai, China
  • March/2014, 2nd Conference on Artificial Intelligence and Data Mining (AIDM), Suzhou, China


PhD students are welcome for 2022, particularly in the areas of deep learning, machine learning, medical image processing, etc. 
Students can be funded by Graduate Teaching Assistant. You may get financial support from Commonwealth Scholarship Commission in the UK, China Scholarship Council, etc.

Research Team

  • Our team consists of 3 staffs, 12 PhD students and 15 visiting students/scholars.
  • The full list of our research team can be found in the page "Research Team".
  • 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.

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