Staff profile

I am an Assistant Professor in the Department of Computer Science at Durham University. My research interests are computational and mathematical intelligence, non-linear analysis and computing, and the applications in biomedical and physical sciences. I am actively seeking collaborative opportunities motivated by industrial practices and theoretical principles across disciplines.

• Medical Imaging and Analysis
• Computer Vision
• Machine Learning

Conference Paper

• Kenning, Michael P, Deng, Jingjing, Edwards, Michael & Xie, Xianghua (2021), Locating Datacenter Link Faults with a Directed Graph Convolutional Neural Network, ICPRAM. 312-320.
• Nagoor, Omniah H, Whittle, Joss, Deng, Jingjing, Mora, Benjamin & Jones, Mark W (2021), MedZip: 3D medical images lossless compressor using recurrent neural network (LSTM), 2020 25th International Conference on Pattern Recognition (ICPR) IEEE. 2874-2881.
• Nagoor, Omniah H, Whittle, Joss, Deng, Jingjing, Mora, Benjamin & Jones, Mark W (2020), Lossless compression for volumetric medical images using deep neural network with local sampling, 2020 IEEE International Conference on Image Processing (ICIP) IEEE. 2815-2819.
• Alqahtani, Ali, Xie, Xianghua, Deng, Jingjing & Jones, Mark W (2019), Learning discriminatory deep clustering models, International Conference on Computer Analysis of Images and Patterns Springer. 224-233.
• Alqahtani, Ali, Xie, Xianghua, Deng, Jingjing & Jones, Mark W (2018), A deep convolutional auto-encoder with embedded clustering, 2018 25th IEEE international conference on image processing (ICIP) IEEE. 4058-4062.
• Tsang, Gavin, Deng, Jingjing & Xie, Xianghua (2018), Recurrent neural networks for financial time-series modelling, 2018 24th International Conference on Pattern Recognition (ICPR) IEEE. 892-897.
• Kenning, Michael P, Xie, Xianghua, Edwards, Michael & Deng, Jingjing (2018), Local representation learning with a convolutional autoencoder, 2018 25th IEEE International Conference on Image Processing (ICIP) IEEE. 3239-3243.
• Deng, Jingjing & Xie, Xianghua (2017), Detect face in the wild using CNN cascade with feature aggregation at multi-resolution, 2017 IEEE International Conference on Image Processing (ICIP) IEEE. 4167-4171.
• Deng, Jingjing & Xie, Xianghua (2017), Nested shallow cnn-cascade for face detection in the wild, 2017 12th IEEE International Conference on Automatic Face \& Gesture Recognition (FG 2017) IEEE. 165-172.
• Edwards, Michael, Deng, Jingjing & Xie, Xianghua (2017), Labeling subtle conversational interactions within the CONVERSE dataset, 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) IEEE. 140-145.
• Ravenscroft, Dafydd, Deng, Jingjing, Xie, Xianghua, Terry, Louise, Margrain, Tom H, North, Rachel V & Wood, Ashley (2017), Amd classification in choroidal oct using hierarchical texton mining, International Conference on Advanced Concepts for Intelligent Vision Systems Springer. 237-248.
• Ravenscroft, Dafydd, Deng, Jingjing, Xie, Xianghua, Terry, Louise, Margrain, Tom H, North, Rachel V & Wood, Ashley (2017), Learning feature extractors for AMD classification in OCT using convolutional neural networks, 2017 25th European Signal Processing Conference (EUSIPCO) IEEE. 51-55.
• Deng, Jingjing, Xie, Xianghua & Edwards, Michael (2016), Combining stacked denoising autoencoders and random forests for face detection, International Conference on Advanced Concepts for Intelligent Vision Systems Springer. 349-360.
• Deng, Jingjing, Xie, Xianghua, Terry, Louise, Wood, Ashley, White, Nick, Margrain, Tom H & North, Rachel V (2016), Age-related macular degeneration detection and stage classification using choroidal oct images, International Conference on Image Analysis and Recognition Springer. 707-715.
• Deng, Jingjing, Xie, Xianghua, Alcock, Rob & Roobottom, Carl (2014), 3D interactive coronary artery segmentation using random forests and Markov random field optimization, 2014 IEEE International Conference on Image Processing (ICIP) IEEE. 942-946.
• Deng, Jingjing, Xie, Xianghua & Zhou, Shangming (2014), Conversational interaction recognition based on bodily and facial movement, International Conference Image Analysis and Recognition Springer. 237-245.
• Lacey, Arron, Deng, Jingjing & Xie, Xianghua (2014), Protein classification using Hidden Markov models and randomised decision trees, 2014 7th International Conference on Biomedical Engineering and Informatics IEEE. 659-664.
• Fang, Hui, Deng, Jingjing, Xie, Xianghua & Grant, Philip W (2013), From clamped local shape models to global shape model, 2013 IEEE International Conference on Image Processing IEEE. 3513-3517.
• Deng, Jingjing, Xie, Xianghua, Daubney, Ben, Fang, Hui & Grant, Phil W (2013), Recognizing conversational interaction based on 3D human pose, International Conference on Advanced Concepts for Intelligent Vision Systems Springer. 138-149.

Doctoral Thesis

• Deng, Jingjing (2017). Adaptive Learning for Segmentation and Detection. Swansea University. PhD.

Journal Article

• Ma, Xiaoke, Tan, Shiyin, Xie, Xianghua, Zhong, Xiaoxiong & Deng, Jingjing (2022). Joint multi-label learning and feature extraction for temporal link prediction. Pattern Recognition 121: 108216.
• Nagoor, Omniah H, Whittle, Joss, Deng, Jingjing, Mora, Benjamin & Jones, Mark W (2022). Sampling strategies for learning-based 3D medical image compression. Machine Learning with Applications 8: 100273.
• Ren, Hanchi, Deng, Jingjing & Xie, Xianghua (2022). GRNN: generative regression neural network—a data leakage attack for federated learning. ACM Transactions on Intelligent Systems and Technology (TIST) 13(4): 1-24.
• Kenning, Michael, Deng, Jingjing, Edwards, Michael & Xie, Xianghua (2022). A directed graph convolutional neural network for edge-structured signals in link-fault detection. Pattern Recognition Letters 153: 100-106.
• Deng, Jingjing & Xie, Xianghua (2021). 3D Interactive Segmentation With Semi-Implicit Representation and Active Learning. IEEE Transactions on Image Processing 30: 9402-9417.
• Wang, Yan, Xia, Zuheng, Deng, Jingjing, Xie, Xianghua, Gong, Maoguo & Ma, Xiaoke (2021). TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain. BMC bioinformatics 22(9): 1-15.
• Boileau, Etienne, Pant, Sanjay, Roobottom, Carl, Sazonov, Igor, Deng, Jingjing, Xie, Xianghua & Nithiarasu, Perumal (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.
• Daubney, Ben, Xie, Xianghua, Deng, Jingjing, Mac Parthaláin, Neil & Zwiggelaar, Reyer (2016). Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions. Image and Vision Computing 52: 73-87.
• Edwards, Michael, Deng, Jingjing & Xie, Xianghua (2016). From pose to activity: Surveying datasets and introducing CONVERSE. Computer Vision and Image Understanding 144: 73-105.
• Deng, Jingjing, Xie, Xianghua & Daubney, Ben (2014). A bag of words approach to subject specific 3D human pose interaction classification with random decision forests. Graphical Models 76(3): 162-171.