Sampling strategies for learning-based 3D medical image compression (2022)
Journal Article
Nagoor, O. H., Whittle, J., Deng, J., Mora, B., & Jones, M. W. (2022). Sampling strategies for learning-based 3D medical image compression. https://doi.org/10.1016/j.mlwa.2022.100273

GRNN: generative regression neural network—a data leakage attack for federated learning (2022)
Journal Article
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), 1-24. https://doi.org/10.1145/3510032

Joint multi-label learning and feature extraction for temporal link prediction (2022)
Journal Article
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, https://doi.org/10.1016/j.patcog.2021.108216

MedZip: 3D medical images lossless compressor using recurrent neural network (LSTM) (2021)
Conference Proceeding
Nagoor, O. H., Whittle, J., Deng, J., Mora, B., & Jones, M. W. (2021). MedZip: 3D medical images lossless compressor using recurrent neural network (LSTM). . https://doi.org/10.1109/icpr48806.2021.9413341

3D Interactive Segmentation With Semi-Implicit Representation and Active Learning (2021)
Journal Article
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

TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain (2021)
Journal Article
Wang, Y., Xia, Z., Deng, J., Xie, X., Gong, M., & Ma, X. (2021). TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain. BMC Bioinformatics, 22(9), 1-15. https://doi.org/10.1186/s12859-021-04190-9

Locating Datacenter Link Faults with a Directed Graph Convolutional Neural Network. (2021)
Conference Proceeding
Kenning, M. P., Deng, J., Edwards, M., & Xie, X. (2021). Locating Datacenter Link Faults with a Directed Graph Convolutional Neural Network. . https://doi.org/10.5220/0010301403120320

A directed graph convolutional neural network for edge-structured signals in link-fault detection (2021)
Journal Article
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

The growing interest in graph deep learning has led to a surge of research focusing on learning various characteristics of graph-structured data. Directed graphs have generally been treated as incidental to definitions on the more general class of un... Read More about A directed graph convolutional neural network for edge-structured signals in link-fault detection.

Lossless compression for volumetric medical images using deep neural network with local sampling (2020)
Conference Proceeding
Nagoor, O. H., Whittle, J., Deng, J., Mora, B., & Jones, M. W. (2020). Lossless compression for volumetric medical images using deep neural network with local sampling. . https://doi.org/10.1109/icip40778.2020.9191031

Learning discriminatory deep clustering models (2019)
Conference Proceeding
Alqahtani, A., Xie, X., Deng, J., & Jones, M. W. (2019). Learning discriminatory deep clustering models. . https://doi.org/10.1007/978-3-030-29888-3_18

Recurrent neural networks for financial time-series modelling (2018)
Conference Proceeding
Tsang, G., Deng, J., & Xie, X. (2018). Recurrent neural networks for financial time-series modelling. . https://doi.org/10.1109/icpr.2018.8545666

Estimating the accuracy of a reduced-order model for the calculation of fractional flow reserve (FFR) (2018)
Journal Article
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), https://doi.org/10.1002/cnm.2908

A deep convolutional auto-encoder with embedded clustering (2018)
Conference Proceeding
Alqahtani, A., Xie, X., Deng, J., & Jones, M. W. (2018). A deep convolutional auto-encoder with embedded clustering. . https://doi.org/10.1109/icip.2018.8451506

Local representation learning with a convolutional autoencoder (2018)
Conference Proceeding
Kenning, M. P., Xie, X., Edwards, M., & Deng, J. (2018). Local representation learning with a convolutional autoencoder. . https://doi.org/10.1109/icip.2018.8451233

Labeling subtle conversational interactions within the CONVERSE dataset (2017)
Conference Proceeding
Edwards, M., Deng, J., & Xie, X. (2017). Labeling subtle conversational interactions within the CONVERSE dataset. . https://doi.org/10.1109/percomw.2017.7917547

Adaptive Learning for Segmentation and Detection (2017)
Thesis
Deng, J. (2017). Adaptive Learning for Segmentation and Detection. (Thesis). Swansea University

Detect face in the wild using CNN cascade with feature aggregation at multi-resolution (2017)
Conference Proceeding
Deng, J., & Xie, X. (2017). Detect face in the wild using CNN cascade with feature aggregation at multi-resolution. . https://doi.org/10.1109/icip.2017.8297067

Learning feature extractors for AMD classification in OCT using convolutional neural networks (2017)
Conference Proceeding
Ravenscroft, D., Deng, J., Xie, X., Terry, L., Margrain, T. H., North, R. V., & Wood, A. (2017). Learning feature extractors for AMD classification in OCT using convolutional neural networks. . https://doi.org/10.23919/eusipco.2017.8081167

Nested shallow cnn-cascade for face detection in the wild (2017)
Conference Proceeding
Deng, J., & Xie, X. (2017). Nested shallow cnn-cascade for face detection in the wild. . https://doi.org/10.1109/fg.2017.29

Amd classification in choroidal oct using hierarchical texton mining (2017)
Conference Proceeding
Ravenscroft, D., Deng, J., Xie, X., Terry, L., Margrain, T. H., North, R. V., & Wood, A. (2017). Amd classification in choroidal oct using hierarchical texton mining. . https://doi.org/10.1007/978-3-319-70353-4_21