Dr Jingjing Deng

Affiliate

Computer Science

j.deng@swansea.ac.uk

Available For Postgraduate Supervision

Research Links

About

Dr. Jingjing Deng joined the Department of Computer Science as an academic member in 2018. He is interested in general machine learning and artificial intelligence ranging from theory through methodology to application in biomedical science. More can be found on his personal website: https://jjdengjj.github.io

Information about the Computer Vision and Machine Learning group can be found: http://csvision.swan.ac.uk

Areas Of Expertise

Machine Learning
BioMedical Application

Publications

Research Highlights

Ren, H., Deng, J., & Xie, X. (2022). GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. ACM Transactions on Intelligent Systems and Technology, 13(4)
https://doi.org/10.1145/3510032, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59093
Deng, J. & Xie, X. (2021). 3D Interactive Segmentation With Semi-Implicit Representation and Active Learning. IEEE Transactions on Image Processing, 30, 9402-9417.
https://doi.org/10.1109/tip.2021.3125491, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58520
Nagoor, O., Whittle, J., Deng, J., Mora, B., & Jones, M. (2022). Sampling strategies for learning-based 3D medical image compression. Machine Learning with Applications, 8, 100273
https://doi.org/10.1016/j.mlwa.2022.100273, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59383
Kenning, M., Deng, J., Edwards, M., & Xie, X. (2022). A directed graph convolutional neural network for edge-structured signals in link-fault detection. Pattern Recognition Letters, 153, 100-106.
https://doi.org/10.1016/j.patrec.2021.12.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59018
Ma, X., Tan, S., Xie, X., Zhong, X., & Deng, J. (2022). Joint multi-label learning and feature extraction for temporal link prediction. Pattern Recognition, 121, 108216
https://doi.org/10.1016/j.patcog.2021.108216, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57523
Nagoor, O., Whittle, J., Deng, J., Mora, B., Jones, M., & Whittle, J. (2021). MedZip: 3D Medical Images Lossless Compressor Using Recurrent Neural Network (LSTM). In 2020 25th International Conference on Pattern Recognition (ICPR)IEEE.
https://doi.org/10.1109/icpr48806.2021.9413341, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55395
http://dx.doi.org/10.1109/icpr48806.2021.9413341
Nagoor, O., Whittle, J., Deng, J., Mora, B., & Jones, M. (2020). Lossless Compression For Volumetric Medical Images Using Deep Neural Network With Local Sampling. In 2020 IEEE International Conference on Image Processing (ICIP) (pp. 2815-2819). IEEE.
https://doi.org/10.1109/icip40778.2020.9191031, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55355

All Research

Journal Articles

Nagoor, O., Whittle, J., Deng, J., Mora, B., & Jones, M. (2022). Sampling strategies for learning-based 3D medical image compression. Machine Learning with Applications, 8, 100273
https://doi.org/10.1016/j.mlwa.2022.100273, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59383
Ren, H., Deng, J., & Xie, X. (2022). GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. ACM Transactions on Intelligent Systems and Technology, 13(4)
https://doi.org/10.1145/3510032, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59093
Kenning, M., Deng, J., Edwards, M., & Xie, X. (2022). A directed graph convolutional neural network for edge-structured signals in link-fault detection. Pattern Recognition Letters, 153, 100-106.
https://doi.org/10.1016/j.patrec.2021.12.003, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa59018
Ma, X., Tan, S., Xie, X., Zhong, X., & Deng, J. (2022). Joint multi-label learning and feature extraction for temporal link prediction. Pattern Recognition, 121, 108216
https://doi.org/10.1016/j.patcog.2021.108216, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57523
Deng, J. & Xie, X. (2021). 3D Interactive Segmentation With Semi-Implicit Representation and Active Learning. IEEE Transactions on Image Processing, 30, 9402-9417.
https://doi.org/10.1109/tip.2021.3125491, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58520
Deng, J., Wang, Y., Xia, Z., Xie, X., & Gong, M. (2021). TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain. BMC Bioinformatics, 22(S9)
https://doi.org/10.1186/s12859-021-04190-9, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57704
Boileau, E., Pant, S., Roobottom, C., Sazonov, I., Deng, J., Xie, X., & Nithiarasu, P. (2018). Estimating the accuracy of a reduced-order model for the calculation of fractional flow reserve (FFR). International Journal for Numerical Methods in Biomedical Engineering, 34(1), e2908
https://doi.org/10.1002/cnm.2908, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34379
Daubney, B., Xie, X., Deng, J., Parthaláin, N., & Zwiggelaar, R. (2016). Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions. Image and Vision Computing, 52, 73-87.
https://doi.org/10.1016/j.imavis.2016.05.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa28339
Edwards, M., Edwards, M., Deng, J., & Xie, X. (2016). From pose to activity: Surveying datasets and introducing CONVERSE. Computer Vision and Image Understanding, 144, 73-105.
https://doi.org/10.1016/j.cviu.2015.10.010, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa26730
Deng, J., Xie, X., & Daubney, B. (2014). A bag of words approach to subject specific 3D human pose interaction classification with random decision forests. Graphical Models, 76(3), 162-171.
https://doi.org/10.1016/j.gmod.2013.10.006, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49635
http://www.sciencedirect.com/science/article/pii/S1524070313000337

Book Chapters

Edwards, M., Deng, J., Xie, X., & Edwards, M. (2016). Combining Stacked Denoising Autoencoders and Random Forests for Face Detection. Advanced Concepts for Intelligent Vision Systems (pp. 349-360).
https://doi.org/10.1007/978-3-319-48680-2_31, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32104
Deng, J., Xie, X., Daubney, B., Fang, H., & Grant, P. (2013). Recognizing Conversational Interaction Based on 3D Human Pose. Advanced Concepts for Intelligent Vision Systems -149).
https://doi.org/10.1007/978-3-319-02895-8_13, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49683

Conference Contributions

Nagoor, O., Whittle, J., Deng, J., Mora, B., Jones, M., & Whittle, J. (2021). MedZip: 3D Medical Images Lossless Compressor Using Recurrent Neural Network (LSTM). In 2020 25th International Conference on Pattern Recognition (ICPR)IEEE.
https://doi.org/10.1109/icpr48806.2021.9413341, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55395
http://dx.doi.org/10.1109/icpr48806.2021.9413341
Nagoor, O., Whittle, J., Deng, J., Mora, B., & Jones, M. (2020). Lossless Compression For Volumetric Medical Images Using Deep Neural Network With Local Sampling. In 2020 IEEE International Conference on Image Processing (ICIP) (pp. 2815-2819). IEEE.
https://doi.org/10.1109/icip40778.2020.9191031, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa55355
Tsang, G., Deng, J., & Xie, X. (2018). Recurrent Neural Networks for Financial Time-Series Modelling. (pp. 892-897). 25th International Conference on Pattern Recognition.
https://doi.org/10.1109/ICPR.2018.8545666, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa39477
http://www.icpr2018.org/index.php?m=content&c=index&a=init
Alqahtani, A., Xie, X., Deng, J., Jones, M., Jones, M., Xie, X., & Deng, J. (2018). A Deep Convolutional Auto-Encoder with Embedded Clustering. In 2018 25th IEEE International Conference on Image Processing (ICIP) (pp. 4058-4062). 25th IEEE International Conference on Image Processing (ICIP).
https://doi.org/10.1109/ICIP.2018.8451506, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40682
https://ieeexplore.ieee.org/document/8451506
Kenning, M., Xie, X., Edwards, M., & Deng, J. (2018). Local Representation Learning with A Convolutional Autoencoder. In 2018 25th IEEE International Conference on Image Processing (ICIP) (pp. 3239-3243). 2018 IEEE International Conference on Image Processing.
https://doi.org/10.1109/ICIP.2018.8451233, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa40806
https://ieeexplore.ieee.org/document/8451233/
Deng, J. & Xie, X. (2018). Detect face in the wild using CNN cascade with feature aggregation at multi-resolution. (pp. 4167-4171). IEEE International Conference on Image Processing.
https://doi.org/10.1109/ICIP.2017.8297067, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa34381
http://csvision.swan.ac.uk/uploads/Site/Publication/icip2017.pdf
Ravenscroft, D., Deng, J., Xie, X., Terry, L., Margrain, T., North, R., & Wood, A. (2017). AMD Classification in Choroidal OCT Using Hierarchical Texton Mining. In Advanced Concepts for Intelligent Vision Systems-248).
https://doi.org/10.1007/978-3-319-70353-4_21, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49671
Ravenscroft, D., Deng, J., Xie, X., Terry, L., Margrain, T., North, R., & Wood, A. (2017). Learning feature extractors for AMD classification in OCT using convolutional neural networks. In Signal Processing Conference (EUSIPCO), 2017 25th European (pp. 51-55). Signal Processing Conference (EUSIPCO), 2017 25th European.
https://doi.org/10.23919/EUSIPCO.2017.8081167, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa33957
http://ieeexplore.ieee.org/document/8081167/
Deng, J. & Xie, X. (2017). Nested Shallow CNN-Cascade for Face Detection in the Wild. In 2017 IEEE 12th International Conference on Automatic Face & Gesture Recognition (pp. 165-172). IEEE.
https://doi.org/10.1109/FG.2017.29, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32108
http://csvision.swan.ac.uk/uploads/Site/Publication/jd17fg.pdf
Edwards, M., Deng, J., & Xie, X. (2017). Labeling subtle conversational interactions within the CONVERSE dataset. In 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) (pp. 140-145). IEEE.
https://doi.org/10.1109/percomw.2017.7917547, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa33105
Terry, L., Deng, J., Xie, X., Margrain, T., North, R., Furgusson, J., White, N., & Wood, A. (2016). Automated classification of age-related macular degeneration using choroidal optical coherence tomography imaging--a pilot study. In Investigative Ophthalmology & Visual Science
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa57723
https://iovs.arvojournals.org/article.aspx?articleid=2559096
Deng, J., Xie, X., Terry, L., Wood, A., White, N., Margrain, T., & North, R. (2016). Age-Related Macular Degeneration Detection and Stage Classification Using Choroidal OCT Images. In Image Analysis and Recognition. ICIAR 2016. Lecture Notes in Computer Science. (pp. 707-715). ICIAR 2016.
https://doi.org/10.1007/978-3-319-41501-7_79, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa32100
Deng, J., Xie, X., Alcock, R., & Roobottom, C. (2015). 3D interactive coronary artery segmentation using random forests and Markov random field optimization. In 2014 IEEE International Conference on Image Processing (ICIP) (pp. 942-946).
https://doi.org/10.1109/ICIP.2014.7025189, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49670
Lacey, A., Deng, J., & Xie, X. (2014). Protein classification using Hidden Markov models and randomised decision trees. In 2014 7th International Conference on Biomedical Engineering and Informatics (pp. 659-664).
https://doi.org/10.1109/BMEI.2014.7002856, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49679
Deng, J., Xie, X., & Zhou, S. (2014). Conversational Interaction Recognition Based on Bodily and Facial Movement. In International Conference on Image Analysis and Recognition (pp. 237-245).
https://doi.org/10.1007/978-3-319-11758-4_26, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20985
Chen, D., Deng, J., Xie, X., Nithiarasu, P., & Smith, D. (2013). Efficient reconstruction of coronary vessels from 2D angiography. In International Conference on Computational and Mathematical Biomedical Engineering
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20971
http://www.compbiomed.net/2019/cmbe-proceedings.htm
Fang, H., Deng, J., Xie, X., & Grant, P. (2013). From clamped local shape models to global shape model. In 2013 IEEE International Conference on Image Processing (pp. 3513-3517).
https://doi.org/10.1109/ICIP.2013.6738725, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa49682
Deng, J., Xie, X., & Daubney, B. (2013). A Bag of Words Approach to 3D Human Pose Interaction Classification with Random Decision Forests. In Computational Visual Media Conference
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20966
http://csvision.swan.ac.uk/

Supervision

Gradient Leakage and Protection for Federated Learning (awarded 2023)

PhD

Other supervisor: Prof Xianghua Xie
Deep Learning on Graphs: Directed Graphs, Edge Structures and Graph Estimation (awarded 2023)

PhD

Other supervisor: Prof Xianghua Xie