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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

Dr. 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.

Dr. 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 a Lecturer (2012-17) at the School of Electronics, Electrical Engineering and Computer Science, Queen's University Belfast.

Dr. 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 the Editor-in-Chief of Recent Advances in Electrical & Electronic Engineering, Associate Editor of IEEE Transactions on Human-Machine Systems and IEEE Access, Editorial Board Member and Guest Editor of several refereed journals. He has been a reviewer for high profile journals (e.g. IEEE TPAMI/TIP/TMI/TNNLS/TCybernetics/TRobotics) and major conferences (e.g. AAAI/IJCAI/CVPR/ICCV/ECCV/ICRA/BMVC). He also serves as Associate Editor of ICRA and Area Chair of BMVC and IJCAI.

Dr. 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 a grant reviewer for the research proposals submitted to EU H2020, CHIST-ERA, RA of Slovakia, CSF of Czech, AME IRG&YIRG of Singapore, MRC, BBSRC, EPSRC, UKRI FLF, NC3Rs, Wellcome Trust, NEAT and RSE. He is a Panel member of UKRI FLF, and serves as one of the Technical Committee of "Information Assurance & Intelligence Multimedia-Mobile Communications in IEEE SMC Society", "Biometrics Task Force" and "Robotics Task Force" of the Intelligent Systems Applications Technical Committee, IEEE Computational Intelligence Society.

Dr. 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. "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.
  2. "Automated analysis of housing construction progress through remote sensing", PI, Research England and Stevenson Astrosat Ltd, April-October, 2020. £94K.
  3. "Deep learning in cell line authorisation", PI, AstraZeneca Cambridge, 2020-2024, £30K.
  4. "ESRC IAA Strategic Partnership: East Midlands Police and Academic Collaboration", Co-I, ESRC IAA, 2019-21, £46K.
  5. "Deep learning for refining LifeMap - a new technology for risk stratification of sudden cardiac death", Co-I, MRC CIC, 2019-20, £43K.
  6. "Kinect measurement of range, rhythm and rate of motion for evaluating shoulder diseases", UoL PI, University Hospitals of Leicester NHS Trust, 2018-19, £5K.
  7. "Cross-cultural computer-supported collaborative learning for student capacity building in data science", Co-I, STFC ODA Award, 2018, £17,699.
  8. 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.
  9. Video traffic analysis for abnormal event detection”, PI, Newton Advanced Fellowship, 2017-20. £105K. In addition, 500K (RMB) are provided from NSF of China.
  10. AUTOMAC: AUTOmated Mouse behAviour reCognition”, PI, EPSRC, UK, 2016-17. £99K.
  11. Feasibility study of ECG identification algorithms”, PI, B-Secur Ltd., 2016-17. £62K.
  12. An early warning foetal motion detection system”, PI, Puffin Trust, 2017-18. £2K.
  13. 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.
  14. "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.
  15. 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.
  16. “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.
  17. 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.
  18. “Pathological cancer image analysis”, Co-I, Invest NI/Philips Pathology, UK, 2016-18. £299K.
  19. 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

A full list of publications can be found at Google Scholar. 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. 2019) 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.
  3. "Applications of intelligent systems in multi-model information analytics",  Sugumaran, V., Xu, Z., Shankar, P. and Zhou, H. (Editors), Springer, 2019.

Journals -

  1. 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. Accepted for publication.
  2. 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.
  3. 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 Thoery 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.
  4. 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.
  5. 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.
  6. 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]
  7. 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]
  8. 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.
  9. 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.
  10. 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.
  11. 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. Early online publication.  [Source code]
  12. 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]
  13. 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]
  14. 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.
  15. Dong, X. and Zhou, H. "Texture synthesis quality assessment using perceptual texture similarity", Knowledge-Based Systems. 2020, Vol. 194, 105591.
  16. 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. Accepted for publication.
  17. 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.
  18. 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]
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. Zareapoor, M., Zhou, H. and Yang, J. "Perceptual image quality using dual generative adversarial network", Neural Computing and Applications. Early online publication. [Source code]
  24. 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.
  25. 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.
  26. 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.
  27. 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.
  28. Liang, D., Pan, J., Sun, H. and Zhou, H. "Spatio-temporal attention model for foreground detection in cross-scene surveillance videos", Sensors. 2019, 19(23), 5142; https://doi.org/10.3390/s19235142.
  29. Gao, F., Shi, W., Wang, J., Yang, E. and Zhou, H. "Enhanced feature extraction for ship detection from multi-resolution and multi-scene Synthetic Aperture Radar (SAR) images", Remote Sensing. 2019, 11(22), 2694; https://doi.org/10.3390/rs11222694.
  30. Ma, F., Gao, F., Sun, J., Zhou, H. and Hussain, A. "Attention graph network for image segmentation in big SAR imagery data", Remote Sensing. 2019, 11(21), 2586; https://doi.org/10.3390/rs11212586. [Source code]
  31. Shen, J., Liu, N.Z., Sun, H. and Zhou, H. "Vehicle detection in aerial images based on lightweight Deep Convolutional Network and Generative Adversarial Network", IEEE Access. 2019, 7(1), 148119-148130.
  32. Xu, B., Li, N., Zhu, H., Xu, Z. and Zhou, H. "Pedestrian detection by drones", Computer and Digital Engineering. 2019, 47(8), 1935-1940.
  33. Xie, L., Tao, J., Zhang, Q. and Zhou, H. "CNN and KPCA based automated feature extraction for real time driving pattern recognition", IEEE Access. 2019, 7(1), 123765-123775.
  34. Gao, F., Liu, Q., Sun, J., Hussain, A. and Zhou, H. "Integrated GANs: Semi-supervised SAR target recognition", IEEE Access. 2019, 7(1), 113999-114013.
  35. Gao, F., Shi, W., Wang, J., Hussain, A. and Zhou, H. "A semi-supervised Synthetic Aperture Radar (SAR) image recognition algorithm based on attention mechanism and bias-variance decomposition", IEEE Access. 2019, 7(1), 108617-108632.
  36. Fei, Z., Yang, E., Li, D., Butler, S., Ijomah, W.L. and Zhou, H. "A survey on computer vision techniques for detecting facial features towards the early diagnosis of mild cognitive impairments in the elderly", System Science & Control Engineering. 2019, 7(1), 252-263.
  37. 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", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2019, 12(9), 3219-3232.
  38. Lan, X., Ye, M., Shao, R., Zhang, B., Yuen, P.C. and Zhou, H. "Learning modality-consistency feature templates: A robust RGB-infrared tracking system", IEEE Trans. on Industrial Electronics. 2019, 66(12), 9887-9897.
  39. Lan, X., Ye, M., Shao, R., Zhong, B., Jain, D.K. and Zhou, H. "Online non-negative multi-modality feature template learning for RGB-assisted infrared tracking", IEEE Access. 2019, 7(1), 67761-67771.
  40. Luo, C., Yu, L., Yang, E., Zhou, H. and Ren, P. "A benchmark image dataset for industrial tools", Pattern Recognition Letters. 2019, 125, 341-348. [Dataset]
  41. Shi, W., Jiang, F., Zhang, S., Wang, R., Zhao, D. and Zhou, H. "Hierarchical residual learning for image denoising", Signal Processing: Image Communication. 2019, 76, 243-251.
  42. Gao, F., Huang, T., Wang, J., Sun, J., Hussain, A. and Zhou, H. "A novel Multi-input Bidirectional LSTM and HMM based approach for target recognition from multi-domain Radar Range Profile", Electronics. 2019, 8(5), 535, https://doi.org/10.3390/electronics8050535.
  43. Liang, D., Pan, J., Yu, Y. and Zhou, H. "Concealed object segmentation in Terahertz imaging via adversarial learning", Optik - International Journal for Light and Electron Optics. 185, 1104-1114, 2019. [Source code]
  44. Zhang, X., Han, X., Li, C., Tang, X., Zhou, H. and Jiao, L. "Aerial road extraction based on an improved Generative Adversarial Network", Remote Sensing. 2019, 11(8), 930, https://doi.org/10.3390/rs11080930.
  45. Chen, L., Wang, S., Lam, K.-M., Zhou, H., Jian, M. and Dong, J. "Cascaded one-vs-rest detection network for fine-grained recognition without part annotations", Multimedia Tools and Applications, 78(4), 4381-4395, 2019.
  46. Ning, H., Zhang, X., Zhou, H. and Jiao, L.-C. "Hyperspectral anomaly detection via background and potential anomaly dictionary construction", IEEE Trans. on Geoscience and Remote Sensing, 57(4), 2263-2276, 2019.
  47. Gao, F., Wang, M., Wang, J., Yang, E. and Zhou, H. "A novel separability objective function in CNN for feature extraction of SAR images", Chinese Journal of Electronics, 28(2), 423-429, 2019.
  48. Zhang, X., Wang, X., Tang, X., Zhou, H. and Li, C. "Description generation for remote sensing images using attributes", Remote Sensing, 2019, 11(6), 612, doi.org/10.3390/rs11060612.
  49. Ma, F., Gao, F., Sun, J., Zhou, H. and Hussain, A. "Weakly Supervised Segmentation of SAR Imagery Using Superpixel and Hierarchically Adversarial CRF", Remote Sensing, 2019, 11(5), 512, doi.org/10.3390/rs11050512. [Source code]
  50. Nelis, J.L.D., Tsagkaris, A.S., Zhao, Y., Lou-Franco, J., Nolan, P., Zhou, H., Cao, C., Rafferty, K., Hajslova, J., Elliott C.T. and Campbell, K. "The end user sensor tree: An end-user friendly sensor database", Biosensors and Bioelectronics, 130, 245-253, 2019.
  51. Liu, S., Liu, G. and Zhou, H. "A robust parallel object tracking method for illumination variations". Mobile Networks and Application, 24(1), 5-17, 2019.
  52. Jiang, Z., Crookes, D., Green, B.D., Zhao, Y., Ma, H., Li, L., Zhang, S., Tao, D. and Zhou, H. "Context-aware mouse behaviour recognition using Hidden Markov Models", IEEE Trans. on Image Processing, 28(3), 1133-1148, 2019. [Source code]
  53. Gao, F., Huang, T., Su, J., Hussian, A., Yang, E. and Zhou, H. "A novel semi-supervised learning method based on fast search and density peaks", Complexity, Volume 2019, Article ID 6876173.
  54. Zhang, K., Zhang, H., Zhou, H., Crookes, D., Li, L., Shao, Y. and Liu, D. "Zebrafish embryo vessel segmentation using a novel dual ResU-Net model", Computational Intelligence and Neuroscience, Volume 2019, Article ID 8214975.
  55. Feng, S., Zhou, H. and Dong, H. "Using deep neural network with small dataset to predict material defects", Materials & Design, 162(1), 300-310, 2019. [Source code]
  56. Zhang, Y., Zhou, H. and Chen, J.-L. "Cross-layer access control in publish/subscribe middleware over software-defined networks", Computer Communications, 134, 1-13, 2019.
  57. Zhang, R., Tao, J. and Zhou, H. "Fuzzy optimal energy management for fuel cell and supercapacitor systems using neural network based driving pattern recognition". IEEE Trans. on Fuzzy Systems, 27(1), 45-57, 2019.
  58. Ma, H., Shen, S., Yu, M., Yang, Z., Fei, M. and Zhou, H. "Multi-population techniques in nature inspired optimization algorithms: a comprehensive survey". Swarm and Evolutionary Computation, 44, 365-387, 2019.

Conferences -

  1. 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]
  2. 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]
  3. 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]
  4. 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.
  5. 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.
  6. Xiang, C., Shi, H., Li, N., Ding, M. and Zhou, H. "Pedestrian detection under unmanned aerial vehicle", Proc. of International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Suzhou, China, 19-21 October, 2019.
  7. Qi, Y., Shi, H., Li, N., Li, Y. and Zhou, H. "Vehicle detection under unmanned aerial vehicle based on improved YOLOv3", Proc. of International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), Suzhou, China, 19-21 October, 2019.
  8. Zhao, Y., Choi, S.Y., Lou-Franco, J., Nelis, J.L.D., Zhou, H., Cao, C., Campbell, K., Elliott, C., and Rafferty, K. "Smartphone modulated colorimetric reader with color subtraction", Proc. of IEEE Sensors Conference, Montreal, Canada, 27-30 October, 2019. [Source code and datasets]
  9. Fei, Z., Yang, E., Li, D., Butler, S., Ijomah and Zhou, H. "Combining deep neural network with traditional classifier to recognise facial expressions", Proc. of International Conference on Automation and Computing (ICAC), Lancaster, UK, 5-7 September, 2019.
  10. Song, Y., Du, D., Zhou, H., Fei, M. and Feng, D. "Sliding mode variable structure control for inverted pendulum visual servo systems", Proc. of IFAC Conference on Intelligent Control and Automation Science (ICONS), Belfast, UK, 21-23 August, 2019.
  11. Wu, T., Liang, D., Pan, J., Sun, H., Kang, B., Kaneko, S. and Zhou, H. "Score-specific non-maximum suppression and coexistence prior for multi-scale face detection", Proc. of International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, 12-17 May, 2019. [Source code]
  12. Du, H., Minku, L.L. and Zhou, H. "Multi-source transfer learning for non-stationary environments", Proc. of International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 14-19 July, 2019. [Source code]

Others -

  1. Liu, Z., Chen, L., Tong, L., Zhou, F., Jiang, Z., Zhang, Q., Shan, C., Wang, Y., Zhang, X., Li, L. and Zhou, H. "Deep learing based brain tumor segmentation: A survey", arXiv preprint: https://arxiv.org/abs/2007.09479.
  2. 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.
  3. 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.
  4. 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]
  5. 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.
  6. 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.
  7. 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.
  8. 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]
  9. Tong, L., Zhang, X., Zhang, Q., Sadka, A., Li, L. and Zhou, H. "Inverse boosting pruning trees for depression detection on Twitter", arXiv preprint: https://arxiv.org/abs/1906.00398. [Source code is coming]

Research Team

  • 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, 10/2018-9/2021. 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, “Mouse tracking and behaviour analysis”, School of Informatics, University of Leicester, 2016-present. PhD student (co-supervised with Dr. Michael Hoffmann).
  • 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.
  • 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: 4th August, 2020, United Kingdom.

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