Dr Jingjing Deng

Aelod Cyswllt, Computer Science

j.deng@abertawe.ac.uk

Ar gael ar gyfer Goruchwyliaeth Ôl-raddedig

Dolenni Ymchwil

Trosolwg

Ymunodd Dr. Jingjing Deng â'r Adran Cyfrifiadureg fel aelod academaidd yn 2018. Mae ganddo ddiddordeb mewn dysgu peiriannau cyffredinol a deallusrwydd artiffisial yn amrywio o theori i fethodoleg i gymhwyso mewn gwyddoniaeth fiofeddygol. Mae mwy ar gael ar ei wefan bersonol: https://jjdengjj.github.io

Gellir dod o hyd i wybodaeth am y grŵp Gweledigaeth Gyfrifiadurol a Dysgu Peiriant: http://csvision.swansea.ac.uk

Meysydd Arbenigedd

Dysgu Peirianyddol
Cymhwyso Biofeddygol

Cyhoeddiadau

Uchafbwyntiau Ymchwil

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
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
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

Holl Ymchwil

Erthyglau Cylchgronau

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

Penodau Llyfrau

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

Cyfraniadau Cynadleddau

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/

Goruchwyliaeth

Gradient Leakage and Protection for Federated Learning (dyfarnwyd 2023)

PhD

Goruchwyliwr arall: Prof Xianghua Xie
Deep Learning on Graphs: Directed Graphs, Edge Structures and Graph Estimation (dyfarnwyd 2023)

PhD

Goruchwyliwr arall: Prof Xianghua Xie