Huiyu Zhou, PhD


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Professor

Machine Learning                 

F3 Informatics Building                       
School of Informatics
University of Leicester
University Road
Leicester
LE1 7RH

Telephone number (office): +44(0)116 252 5295

Email: hz143@leicester.ac.uk

ORCID: 0000-0003-1634-9840

Group webpage: https://sites.google.com/site/huiyujoe/

Updates

Personal details

Prof. Huiyu (Joe) Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom.

Prof. Zhou currently heads the Applied Algorithms and AI (AAAI) Theme and leads the Biomedical Image Processing Lab at University of Leicester. He was the Director of MSc Programme (2018-19), and currently is the Coordinator of MSc Distance Learning and a Member of Research Committee at School of Informatics. Prior to this appointment, he worked as Reader (1/2018-3/2020) at University of Leicester, and Lecturer (9/2012-12/2017) at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast (QUB). He currently is a visiting scholar of QUB.

Prof. Zhou has published widely in the field. He was the recipient of "CVIU 2012 Most Cited Paper  Award", "MIUA 2020 Best Paper Award", "ICPRAM 2016 Best Paper Award in the Area of Applications" and was shortlisted for "ICPRAM 2017 Best Student Paper Award" and "MBEC 2006 Nightingale Prize". He currently serves as:

Prof. Zhou has been an external examiner for PhD candidates from universities of UK, Hong Kong and India, and Digital Design and Branding MSc of Brunel University London (2018-19). He regularly serves as:

Prof. Zhou's research specialisation includes machine learning, computer vision and signal processing. His research interest has focused on the development of AI/machine learning algorithms that enable a system to better understand and interpret images/signals. His research has been or is supported by UK EPSRC, MRC, EU ICT, Royal Society, Innovate UK, Leverhulme Trust, Invest NI, Puffin Trust, Alzheimer Research (UK) and industry.

Teaching

  1. Computational Intelligence and Software Engineering (CO3091/7091), Autumn, 2019-21, University of Leicester.
  2. Service-Oriented Architectures (CO7214/7514), Spring, 2018-19, University of Leicester.
  3. Big Data & Predictive Analytics (CO3093/7093), Spring, 2018, University of Leicester.
  4. Multimedia and Computer Graphics (CO2016), Spring, 2018-19, University of Leicester.
  5. Web and Mobile App Development (CSC3054/7054), Spring, 2013-17, Queen's University Belfast.

Research Grants

  1. "The detection of small objects in a large area through data fusion", Co-I, British Telecom, 2020-21. £14964.64.
  2. "Analysis of Twitter discussions on COVID-19 in Nigeria: Understanding trends in attitudes and social media strategies", Co-I, GCRF IRDF, May-July, 2020. £11795.00.
  3. "Automated analysis of housing construction progress through remote sensing", PI, Research England and Stevenson Astrosat Ltd, April-October, 2020. £94K.
  4. "Deep learning in cell line authorisation", PI, AstraZeneca Cambridge, 2020-24, £30K.
  5. "ESRC IAA Strategic Partnership: East Midlands Police and Academic Collaboration", Co-I, ESRC IAA, 2019-21, £46K.
  6. "Deep learning for refining LifeMap - a new technology for risk stratification of sudden cardiac death", Co-I, MRC CIC, 2019-20, £43K.
  7. "Kinect measurement of range, rhythm and rate of motion for evaluating shoulder diseases", UoL PI, University Hospitals of Leicester NHS Trust, 2018-19, £5K.
  8. "Cross-cultural computer-supported collaborative learning for student capacity building in data science", Co-I, STFC ODA Award, 2018, £17,699.
  9. Smart distribution grid: a market driven approach for the next generation of advanced operation models and services” (DOMINOES), UoL PI, H2020, 2017-21. Total budget: €4M, UoL allocation: €304K.
  10. Video traffic analysis for abnormal event detection”, PI, Newton Advanced Fellowship, 2017-20. £105K. In addition, 500K (RMB) are provided from NSF of China.
  11. AUTOMAC: AUTOmated Mouse behAviour reCognition”, PI, EPSRC, UK, 2016-17. £99K.
  12. Feasibility study of ECG identification algorithms”, PI, B-Secur Ltd., 2016-17. £62K.
  13. An early warning foetal motion detection system”, PI, Puffin Trust, 2017-18. £2K.
  14. Using game theory to assess the effects of social norms and social networks on adolescent smoking in schools: a proof of concept study”, Co-I, MRC, 2018-21. £727K.
  15. "Application of a novel automated behaviour monitoring system to study the effects of Alzheimer's disease pathology in mouse models", Co-I, Alzheimer Research UK, Pump-Priming Fund, 2017-18. £5K.
  16. Plasmofluidic analytical device: a rapid point-of-sampling diagnostic and management support platform for infectious and antimicrobial resistant pathogens”, Co-I, Agri-Food Quest, 2016-18. £250K.
  17. “Mobile plasmofluidic paper-based analytical device: A rapid diagnostic and management support platform to combat multi-drug resistance for resource-poor settings”, Co-I, subtask of EPSRC QUBAN Programme, 2016-17. Total budget: £395K and our allocation: £50K.
  18. Smartphone analyzers for on-site testing of food quality and safety” (FoodSmartPhone), Co-I, H2020-MSCA-ITN, 2017-20. Total budget: €2.84M, QUB allocation: €820K.
  19. “Pathological cancer image analysis”, Co-I, Invest NI/Philips Pathology, UK, 2016-18. £299K.
  20. Centre for Secure Information Technologies (CSIT 2)”, Co-I, EPSRC/Innovate UK/Invest NI, 2015-20. Total budget: £38M.

Patents

  1. Zhang, X., Jiao, L.-C., Hou, W.-N., Tang, X., Zhou, P., Zhou. H. and Ma, W.P., "Remote sensing ship detection method based on feature pyramid and distance constraint FCN", CN109711288A, 3rd May, 2019.
  2. Zhang, X., Jiao, L.-C., Ma, W., Xiao, H., Zhou, H., Hou, B., Yang, S. and Ma, W. "Road extraction method based on a full convolution neural network ensemble learning", CN108446616A, 24th August, 2018.

Publications and Code

A full list of publications can be found at Google Scholar and DBLP. The team is making continuous efforts and wishes to share the source code and/or datasets of each piece of the published works with the research community. Recent publications (accepted or published after 1st Jan. 2020) include:

Books/Proceedings -

  1. "Proc. of the 9th International Conference on Computer Engineering and Networks", Liu, Q., Liu, X., Li, L., Zhou, H. and Zhao, H. (Editors), Springer, 2020.
  2. "Applications of intelligent systems in multi-model information analytics", Sugumaran, V., Xu, Z. and Zhou, H. (Editors), Springer, 2020.

Journals -

  1. Li, F., Wang, Y., Ju, H., Wang, Y., Wang, Z. and Zhou, H. "FarpScusn: Fully anonymous touting protocol with self-healing capability in unstable sensor networks", Sensors. 2020, 20(22), 6683.
  2. Liao, J., Wang, Y., Yin, J., Bi, L., Zhang, S., Zhou, H. and Zhu, D. "An integrated navigation method based on an adaptive Federal Kalman Filter for rice transplanter", Transaction of the ASABE. Published online.
  3. Cen, J., Sun, H., Chen, X., Liu, N., Liang, D. and Zhou, H. "WFNet: A wider and finer network for salient object detection", IEEE Access. Accepted for publication.
  4. Tu, J., Gao, F., Sun, J., Hussain, A. and Zhou, H. "Airport detection in SAR images via salient line segment detector and edge-oriented region growing", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. Published online.
  5. Yu, X., Li, F., Li, T., Wu, N., Wang, H. and Zhou, H. "Trusted-based secure directed diffusion routing protocol in WSN", Journal of Ambient Intelligence and Humanized Computing. Published online.
  6. Chen, L., Jiang, Z., Tong, L., Liu, Z., Zhao, A., Zhang, Q., Dong, J. and Zhou, H. "Perceptual underwater image enhancement with deep learning and physical priors", IEEE Trans. on Circuits and Systems for Video Technology. Published online. [arXiv] [Source code and datasets]
  7. Ma, H., Sun, C., Wang, J., Mu, J., Yang, Z. and Zhou, H. "Multi-system optimization for an integrated production scheduling with resource saving problem in textile printing and dyeing", Complexity. 2020, Article ID 8853735.
  8. Xiong, P., Long, C., Zhou, H., Battiston, R., Zhang, X. and Shen, X. "Identification of electromagnetic pre-earthquake perturbations from the DEMETER data by machine learning", Remote Sensing. 2020, 12(21), 3643.
  9. Liao, J., Wang, Y., Zhu, D., Zou, Y., Zhang, S. and Zhou, H. "Automatic segmentation of crop/background based on luminance partition correction and adaptive threshold", IEEE Access. 2020, 8, 202611-202622.
  10. Zhang, J., Zhou, J., Li, M., Zhou, H. and Yu, T. "Quality assessment of SAR-to-optical image translation", Remote Sensing. 2020, 12, 3472.
  11. Qi, Y., Zhang, S., Jiang, F., Zhou, H., Tao, D. and Li, X. ``Siamese local and global networks for robust face tracking", IEEE Trans. on Image Processing. 2020, 29, 9152-9164.
  12. Dong, X., Zhou, H. and Dong, J. "Texture classification using pair-wise difference pooling based bilinear convolutional neural networks", IEEE Trans. on Image Processing. 2020, 29, 8776-8790.
  13. Shamsolmoali, P., Zareapoor, M., Zhou, H., Wang, R. and Yang, J. "Road segmentation for remote sensing images using Adversarial Spatial Pyramid Networks", IEEE Trans. on Geoscience and Remote Sensing. Published online.
  14. Li, F., Liu, Z., Li, T., Ju, H., Wang, H. and Zhou, H. "Privacy-aware PKI Model with strong forward security", International Journal of Intelligent Systems. Published online.
  15. Xu, Z., Chang, W., Zhu, Y., Dong, L., Zhou, H. and Zhang, Q. "Building high-fidelity human body models from user-generated data", IEEE Trans. on Multimedia. Published online.
  16. Gao, F., He, Y., Wang, J., Hussain, A. and Zhou, H. "Anchor-free convolutional network with dense attention feature aggregation for ship detection in SAR images", Remote Sensing. 2020, 12(16), 2619.
  17. Yue, Z., Gao, F., Xiong, Q., Wang, J., Hussain, A. and Zhou, H. "A novel attention fully convolutional network method for Synthetic Aperture Radar image segmentation", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2020, 13, 4585-4598.
  18. Sun, H., Yang, J., Shen, J., Liang, D., Liu, N. and Zhou, H. "TIB-Net: Drone detection network with tiny iterative backbone", IEEE Access. 2020, 8, 130697-130707.
  19. Hunter, R., Montes, F., Murray, J.M., Sanchez-Franco, S.C., Montgomery, S.C., Jaramillo, J., Tate, C., Kumar, R., Dunne, L., Ramalingam, A., Kimbrough, E., Krupka, E., Zhou, H., Moore, L., Bauld, L., Llorente, B., Sarmiento, O. and Kee, F. "MECHANISMS Study: Using Game Theory to assess the effects of social norms and social networks on adolescent smoking in schools - study protocol", Frontiers in Public Health. 4th August, 2020. https://doi.org/10.3389/fpubh.2020.00377.
  20. Sun, H., Chen, X., Wang, L., Liang, D., Liu, M., Zhou, H. "C2DAN: An improved deep adaptation network with domain confusion and classifier adaption", Sensors. 2020, 20(12), 3606.
  21. Zhang, K., Fu, J., Hua, L., Zhang, P., Shao, Y., Xu, S., Zhou, H., Chen, L., Wang, J. "Multiple morphological constraints based complex gland segmentation in colorectal cancer pathology image analysis", Complexity. 2020, Article ID 6180457.
  22. Elmrabit, N., Yang, S.-H., Yang, L. and Zhou, H. "Insider threat risk prediction based on Bayesian network", Computer & Security. 2020, Vol. 96, 101908. [Prototype source code and data]
  23. Zhao, A., Dong, J. and Zhou, H. "Self-supervised learning from multi-sensor data for sleep recognition", IEEE Access. 2020, 8(1), 93907-93921. [Source code]
  24. Ma, X., Zhang, X., Tang, X., Zhou, H. and Jiao, L.-C. "Hyperspectral anomaly detection based on low-rank representation with data-driven projection and dictionary construction", IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing. 2020, 13(1), 2226-2239.
  25. Sun, X., Xu, H., Dong, J., Zhou, H., Li, Q. and Chen, C. "Few-shot learning for domain-specific fine-grained image classification", IEEE Trans. on Industrial Electronics. Early online publication.
  26. Lan, X., Zhang, D., Zhang, S., Deepak, J. and Zhou, H. "Robust multi-modality anchor graph-based label prediction for RGB-infrared tracking", IEEE Trans. on Industrial Informatics. Early online publication.
  27. Gao, Y., Gan, Y., Qi, L., Zhou, H., Dong, X. and Dong, J. "A perception-inspired deep learning framework for predicting perceptual texture similarity", IEEE Trans. on Circuits and Systems for Video Technology. 2020, 30(10), 3714-3726.  [Source code]
  28. Hong, X., Li, H., Miller, P., Zhou, J., Li, L., Crookes, D., Lu, Y., Li, X. and Zhou, H. "Component-based feature saliency for clustering", IEEE Trans. on Knowledge and Data Engineering. Early online publication. [Source code and dataset]
  29. Shamsolmoali, P., Zareapoor, M., Zhou, H. and Yang, J. "AMIL: Adversarial multi instance learning for human pose estimation", ACM Transactions on Multimedia Computing, Communications, and Applications. Vol. 16, No. 1s, 2020. [Source code]
  30. Li, F., Cui, C., Wang, D., Liu, Z., Elmrabit, N., Wang, Y. and Zhou, H."Privacy-aware secure anonymous communication protocol in CPSS", IEEE Access, 8(1), 62660-62669, 2020.
  31. Dong, X. and Zhou, H. "Texture synthesis quality assessment using perceptual texture similarity", Knowledge-Based Systems. 2020, Vol. 194, 105591.
  32. Zhang, K., Jiang, P.P., Hua, L., Fei, M. and Zhou, H. "Investigation of accurate detection of large-scale objects under a wide field of view", Chinese Journal of Scientific Instrument. 2020, Issue 4, 191-199.
  33. Li, F., Ge, R., Zhou, H., Wang, Y., Li, T. and Liu, Z. "Tesia: A trusted efficient service evaluation model in IoT based on improved aggregation signature", Concurrency and Computation: Practice and Experience. Early online publication.
  34. Du, D., Zhang, C., Song, Y., Zhou, H., Li, X., Fei, M. and Li, W. "Real-time Hcontrol of networked inverted pendulum visual servo systems", IEEE Trans. on Cybernetics. Early online publication. [Source code]
  35. Yue, Z., Gao, F., Xiong, Q., Wang, J., Huang, T., Yang, E. and Zhou, H. "A novel semi-supervised convolutional neural network method for Synthetic Aperture Radar image recognition", Cognitive Computation. Early online publication.
  36. Fei, Z., Yang, E., Li, D., Butler, S., Ijomah, W., Li, X. and Zhou, H. "Deep convolution network based emotion analysis towards mental health care", Neurocomputing. 2020, Vol. 388, 212-227.
  37. Ma, F., Gao, F., Wang, J., Hussain, A. and Zhou, H. "A novel biologically inspired target detection method based on saliency analysis in SAR imagery", Neurocomputing. 2020, Vol. 402, 66-79.
  38. Dong, X., Dong, X., Dong, J. and Zhou, H. "Monocular visual-IMU odometry: A comparative evaluation of detector-descriptor based methods", IEEE Trans. on Intelligent Transportation Systems. 2020, 21(6), 2471-2483.
  39. Zareapoor, M., Zhou, H. and Yang, J. "Perceptual image quality using dual generative adversarial network", Neural Computing and Applications. 2020, 32(18), 14521-14531. [Source code]
  40. Lan, X., Ye, M., Zhang, S., Zhou, H. and Yuen, P.C. "Modality-correlation-aware sparse representation for RGB-infrared object tracking", Pattern Recognition Letters. 130, 12-20, 2020.
  41. Ma, H., Fei, M., Jiang, Z., Li, L., Zhou, H. and Crookes, D. "A multi-population based multi-objective evolutionary algorithm", IEEE Trans. on Cybernetics. 2020, 50(2), 689-702.
  42. Sun, H., Fan, Y., Shen, J., Liu, N., Liang, D. and Zhou, H. "A novel semantics-preserving hashing for fine-grained image retrieval", IEEE Access. 8(1), 26199-26209, 2020.
  43. Kang, B., Liang, D., Ding, W., Zhou, H. and Zhu, W.-P. "Grayscale-thermal tracking via inverse sparse representation based collaborative encoding", IEEE Trans. on Image Processing. 29(1), 3401-3415, 2020.

Conferences -

  1. Jiang, Z., Almeida, T.P., Schlindwein, F.S., Ng, G.A., Zhou, H. and Li, X. "Diagnostic of multiple cardiac disorders from 12-lead ECGs using Graph Convolutional Network based multi-label classification", Computing in Cardiology, Rimini, Italy, 13-16 Sep., 2020. [PhysioNet Challenge 2020]
  2. Du, H., Minku, L. and Zhou, H. "MARLINE: Multi-Source Mapping Transfer Learning for Non-Stationary Environments", Regular paper, Proc. of 20th IEEE International Conference on Data Mining (ICDM), Sorrento, Italy, 17-20 Nov., 2020. [Source code and datasets][Supplementary]
  3. Elmrabit, N., Zhou, F., Li, F. and Zhou, H. "Evaluation of machine learning algorithms for anomaly detection", Proc. of IEEE Cyber Science Conference, Dublin, Ireland, 15-19 June, 2020. [Collective source code and presentation]
  4. Moyes, A., Zhang, K., Ji, M., Zhou, H. and Crookes, D. "Unsupervised deep learning for stain separation and artifact detection in histopathology images", Proc. of Conference on Medical Image Understanding and Analysis (MIUA), Oxford, UK, 15-17 July, 2020. Best Paper Award. [Source code and datasets]
  5. Chen, L., Liu, Z., Tong, L., Jiang, Z., Wang, S., Dong, J. and Zhou, H. "Underwater object detection using Invert Multi-Class Adaboost with deep learning", Proc. of International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 19-24 July, 2020. [Source code and datasets]
  6. Figueira, G., Wang, Y., Sun, L., Zhou, H. and Zhang, Q. "Adversarial-based domain adaption networks for unsupervised tumour detection in histopathology", Proc. of International Symposium on Biomedical Imaging (ISBI), Iowa City, Iowa, USA, 3-7 April, 2020.
  7. Li, Y., Xu, Z., Wang, Y., Zhou, H. and Zhang, Q. "SU-net and DU-net fusion for tumor segmentation in histopathology images", Proc. of International Symposium on Biomedical Imaging (ISBI), Iowa City, Iowa, USA, 3-7 April, 2020.

Others -

  1. Jiang, Z., Zhou, F., Zhao, A., Li, X., Li, L., Tao, D., Li, X. and Zhou, H. "Multi-view mouse social behaviour recognition with deep graphical model", arXiv preprint: https://arxiv.org/abs/2011.02451.
  2. Chen, L., Zhou, F., Wang, S., Dong, J., Li, N., Ma, H., Wang, X. and Zhou, H. "SWIPENET: Object detection in noisy underwater images", arXiv preprint: https://arxiv.org/abs/2010.10006.
  3. Chen, L., Jiang, Z., Tong, L., Liu, Z., Zhao, A., Zhang, Q., Dong, J. and Zhou, H. "Perceptual underwater image enhancement with deep learning and physical priors", arXiv preprint: https://arxiv.org/abs/2008.09697.
  4. Shamsolmoali, P., Zareapoor, M., Zhou, H., Wang, R. and Yang, J. "Road segmentation for remote sensing images using Adversarial Spatial Pyramid Networks", arXiv preprint: https://arxiv.org/abs/2008.04021.
  5. Liu, Z., Chen, L., Tong, L., Zhou, F., Jiang, Z., Zhang, Q., Shan, C., Wang, Y., Zhang, X., Li, L. and Zhou, H. "Deep learning based brain tumor segmentation: A survey", arXiv preprint: https://arxiv.org/abs/2007.09479.
  6. Liu, Z., Tong, L., Chen, L., Zhou, F., Jiang, Z., Zhang, Q., Wang, Y., Shan, C., Li, L. and Zhou, H. "CANet: Context aware network for 3D brain tumor segmentation", arXiv preprint: https://arxiv.org/abs/2007.07788.
  7. Chen, L., Tong, L., Zhou, F., Jiang, Z., Li, Z., Lv, J., Dong, J. and Zhou, H. "A benchmark dataset for both underwater image enhancement and underwater object detection", arXiv preprint: https://arxiv.org/abs/2006.15789.
  8. Xiong, P., Tong, L., Zhang, K., Shen, X., Battiston, R., Ouzounov, D., Iuppa, R., Crookes, D., Long, C. and Zhou, H. "Learning earthquake forecasting by machine learning", submitted. [Source code]
  9. Lei, X., Fei, M., Zhou, W. and Zhou, H. "Perceiving unknown in dark from perspective of cell vibration", arXiv preprint: https://arxiv.org/abs/2006.02271.
  10. Shamsolmoali, P., Zareapoor, M., Zhou, H. and Yang, J. "AMIL: Adversarial multi instance learning for human pose estimation", arXiv preprint: https://arxiv.org/abs/2003.08002.
  11. Shamsolmoali, P., Zareapoor, M., Wang, R., Zhou, H. and Yang, J. "A novel deep structure U-Net for sea-land segmentation in remote sensing images", arXiv preprint: https://arxiv.org/abs/2003.07784.
  12. Jiang, Z., Liu, Z., Chen, L., Tong, L., Zhang, X., Lan, X., Crookes, D., Yang, M.-H. and Zhou, H. "Detection and tracking of multiple mice using part proposal networks", arXiv preprint: https://arxiv.org/abs/1906.02831. [Source code is coming]
  13. Tong, L., Liu, Z., Jiang, Z., Zhou, F., Chen, L., Lyu, J., Zhang, X., Zhang, Q., Sadka, A., Wang, Y., Li, L. and Zhou, H. "Cost-sensitive boosting pruning trees for depression detection on Twitter", arXiv preprint: https://arxiv.org/abs/1906.00398. [Source code and datasets]

Research Team

  • Mr. Jacob Bretherick, "Cyber security and data handling" (EU DOMINOES Project), School of Informatics, University of Leicester, 9/2020-3/2021. Research Assistant.
  • Shiyi Zhang, "AI based media and communication", School of Media, Communication and Sociology, University of Leicester, 9/2020-9/2023. PhD student (co-supervised with Dr. Yimei Zhu).
  • Zhenyang Li, "Detection of tiny objects in large areas by remote sensing", School of Informatics, University of Leicester, 10/2019-9/2022. PhD student (co-supervised with Prof. Lu Liu).
  • Lijia Deng, "Crowd counting via deep learning", University of Leicester, 10/2019-9/2022. PhD student (co-supervised with Prof. Eugene Zhang).
  • Feixiang Zhou, "Interpretation of social behaviours among mice with Parkinson's disease", School of Informatics, University of Leicester, 10/2019-9/2023. PhD student (co-supervised with Dr. Jian Liu).
  • Yoav Alon, "Detection of cancer areas in histopathological images with Convolutional Neural Networks", School of Informatics, University of Leicester, 2/2019-1/2023. PhD student (co-supervised with Prof. Effie Law).
  • Elinor Jones, "Effective detection anxiety among adolescents", School of Informatics, University of Leicester, 1/2019-1/2022. PhD student (co-supervised with Drs. Michelle O'Reilly and Sarah Gong).
  • Honghui Du, "Machine learning for data stream mining in changing environments", School of Informatics, University of Leicester, 9/2018-2020. PhD student (co-supervised with Prof. Rajeev Raman).
  • Fang Chen, "Automating oil spill detection and identification in images", University of Leicester, 3/2019-3/2022. PhD student (co-supervised with Dr. Aihua Zhang and Prof. Heiko Balzter).
  • Thais Portilho, "Use of artificial intelligence to treat mental health in prisons", University of Leicester, 9/2018-9/2021. PhD student (co-supervised with Drs. Andy Newton and Wendy Fitzgibbon).
  • Haichao Zhu, "Automating fetal image analysis", School of Informatics, University of Leicester, 10/2018-TBD. PhD student (co-supervised with Dr. Fer-Jan De Vries).
  • Zhihua Liu, "Brain tumor segmentation", School of Informatics, University of Leicester, 10/2018-9/2020. MPhil student (co-supervised with Prof. Eugene Zhang).
  • Zheheng Jiang, “Automated visual tracking and social behaviour analysis with multiple mice”, School of Informatics, University of Leicester, 1/2018-10/2020. PhD student (co-supervised with Dr. Michael Hoffmann). Now, works as a researcher at Lancaster University. [Link]
  • Lei Tong, “Cell line authorisation”, School of Informatics, University of Leicester, 5/2020-present. Has completed his MPhil project on depression detection and now a PhD student (co-supervised with Prof. Thomas Erlebach and Dr. Yinhai Wang).
  • Long Chen, “Marine animal behaviour analysis with deep learning”, School of Informatics, University of Leicester, 5/2018-present. PhD student (co-supervised with Prof. Rajeev Raman).
  • Jialin Lyu, "Automated classification of Alzheimer's disease and mild cognitive impairment", School of Informatics, University of Leicester, 11/2019-11/2021. MPhil student (co-supervised with Prof. Eugene Zhang).
  • Aite Zhao, "Multimodal gait recognition in neurodegenerative diseases", School of Informatics, University of Leicester, 12/2018-12/2019. Visiting PhD researcher (OUC).
  • Pinggai Zhang, "Optimisation with reasoning learning", School of Informatics, University of Leicester, 2018. Visitor (SHU).
  • Lisi Yang, "Image encryption", School of Informatics, University of Leicester, 2019. Visitor (SHU).
  • Siting Zou, "Process identification", School of Informatics, University of Leicester, 2019. Visitor (SHU).
  • Dr. Yuxiao Yang, "Machine learning", School of Informatics, University of Leicester, 9/2020-9/2021. Academic visitor (NUAA).
  • Dr. Nebrase Elmrabit, "Cyber security and data handling" (EU DOMINOES Project), School of Informatics, University of Leicester, 8/2018-2/2020. Research Associate. Now, a faculty member in the Department of Cyber Security and Networks, Glasgow Caledonia University, United Kingdom. [Link]
  • Prof. Fengyin Li, "Cyber-security and machine learning", School of Informatics, University of Leicester, 9/2019-9/2020. Academic visitor (QFNU).
  • Dr. Yiming Xu, "Image analysis using deep learning", School of Informatics, University of Leicester, 8/2019-8/2020. Academic visitor (NUAA). Co-hosted with Prof. Reiko Heckel.
  • Prof. Yong Wang, "SAR image processing", School of Informatics, University of Leicester, 8/2019. Academic visitor (HIT).
  • Prof. Yong Hu, "Dynamic spine image analysis and gait motion detection", School of Informatics, University of Leicester, 5/2019. Academic visitor (HKU).
  • Prof. Xin Wang, "Remote sensing data analysis", School of Informatics, University of Leicester, 9/2019-9/2020. Academic visitor (HHU).
  • Dr. Juan Liao, "Image analysis for agricultural applications", School of Informatics, University of Leicester, 12/2019-12/2020. Academic visitor (AAU).
  • Dr. Changkui Lyu, "Machine Learning", School of Informatics, University of Leicester, 9/2018-9/2019. Academic visitor (NUAA). Co-hosted with Prof. Reiko Heckel.
  • Dr. Weiye Xu, "Signal Processing and Telecommunication", School of Informatics, University of Leicester, 3/2019-2/2020. Academic visitor (NJIT). Co-hosted with Prof. Reiko Heckel.
  • Dr. Zhenhua Zhang, "Decision theory in order information systems and its application", School of Informatics, University of Leicester, 2/2018-8/2018. Academic visitor (GDUFS).
Last modified by Huiyu Zhou: 22nd November, 2020, United Kingdom.

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