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ORCIDJingjing Deng 0001
Person information
- affiliation: Durham University, UK
- affiliation (PhD 2017): Swansea University, UK
Other persons with the same name
- Jingjing Deng 0002 — University of Hong Kong
- Jingjing Deng 0003 — China University of Mining and Technology, Xuzhou, Jiangsu, China
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2020 – today
- 2024
[j11]Zhaoyuan Cai, Xianghua Xie, Jingjing Deng, Zengfa Dou
, Bo Tong, Xiaoke Ma:
Image restoration with group sparse representation and low-rank group residual learning. IET Image Process. 18(3): 741-760 (2024)- [j10]Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Yichuan Wang:
FedBoosting: Federated learning with gradient protected boosting for text recognition. Neurocomputing 569: 127126 (2024) - [j9]Xianghua Xie, Chen Hu, Hanchi Ren, Jingjing Deng:
A survey on vulnerability of federated learning: A learning algorithm perspective. Neurocomputing 573: 127225 (2024) - [c21]Yiming Li, Hanchi Ren, Jingjing Deng, Xiaoke Ma, Xianghua Xie:
Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation. ISBI 2024: 1-5 - [i8]Fan Wan, Xingyu Miao, Haoran Duan, Jingjing Deng, Rui Gao, Yang Long:
Sentinel-Guided Zero-Shot Learning: A Collaborative Paradigm without Real Data Exposure. CoRR abs/2403.09363 (2024) - [i7]Yi Hu, Hanchi Ren, Chen Hu, Jingjing Deng, Xianghua Xie:
An Element-Wise Weights Aggregation Method for Federated Learning. CoRR abs/2404.15919 (2024) - [i6]Mridula Vijendran, Frederick W. B. Li, Jingjing Deng, Hubert P. H. Shum:
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification. CoRR abs/2408.01827 (2024) - 2023
- [c20]Yi Hu, Hanchi Ren, Chen Hu, Jingjing Deng, Xianghua Xie:
An Element-Wise Weights Aggregation Method for Federated Learning. ICDM (Workshops) 2023: 188-196 - [i5]Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Jianfeng Ma:
Gradient Leakage Defense with Key-Lock Module for Federated Learning. CoRR abs/2305.04095 (2023) - [i4]Xianghua Xie, Chen Hu, Hanchi Ren, Jingjing Deng:
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective. CoRR abs/2311.16065 (2023) - 2022
- [j8]Xiaoke Ma, Shiyin Tan, Xianghua Xie, Xiaoxiong Zhong, Jingjing Deng:
Joint multi-label learning and feature extraction for temporal link prediction. Pattern Recognit. 121: 108216 (2022) - [j7]Michael P. Kenning, Jingjing Deng, Michael Edwards, Xianghua Xie:
A directed graph convolutional neural network for edge-structured signals in link-fault detection. Pattern Recognit. Lett. 153: 100-106 (2022) - [j6]Hanchi Ren, Jingjing Deng, Xianghua Xie:
GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. ACM Trans. Intell. Syst. Technol. 13(4): 65:1-65:24 (2022) - 2021
- [j5]Yan Wang, Zuheng Xia, Jingjing Deng, Xianghua Xie, Maoguo Gong, Xiaoke Ma:
TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain. BMC Bioinform. 22-S(9): 274 (2021) - [j4]Jingjing Deng, Xianghua Xie:
3D Interactive Segmentation With Semi-Implicit Representation and Active Learning. IEEE Trans. Image Process. 30: 9402-9417 (2021) - [c19]Michael P. Kenning, Jingjing Deng, Michael Edwards, Xianghua Xie:
Locating Datacenter Link Faults with a Directed Graph Convolutional Neural Network. ICPRAM 2021: 312-320 - [i3]Hanchi Ren, Jingjing Deng, Xianghua Xie:
GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. CoRR abs/2105.00529 (2021) - 2020
- [c18]Omniah H. Nagoor, Joss Whittle, Jingjing Deng, Benjamin Mora, Mark W. Jones:
Lossless Compression For Volumetric Medical Images Using Deep Neural Network With Local Sampling. ICIP 2020: 2815-2819 - [c17]Omniah H. Nagoor, Joss Whittle, Jingjing Deng, Benjamin Mora, Mark W. Jones:
MedZip: 3D Medical Images Lossless Compressor Using Recurrent Neural Network (LSTM). ICPR 2020: 2874-2881 - [i2]Hanchi Ren, Jingjing Deng, Xianghua Xie:
Privacy Preserving Text Recognition with Gradient-Boosting for Federated Learning. CoRR abs/2007.07296 (2020)
2010 – 2019
- 2019
- [c16]Ali Alqahtani, Xianghua Xie, Jingjing Deng, Mark W. Jones:
Learning Discriminatory Deep Clustering Models. CAIP (1) 2019: 224-233 - 2018
- [c15]Michael P. Kenning, Xianghua Xie, Michael Edwards, Jingjing Deng:
Local Representation Learning with A Convolutional Autoencoder. ICIP 2018: 3239-3243 - [c14]Ali Alqahtani, Xianghua Xie, Jingjing Deng, Mark W. Jones:
A Deep Convolutional Auto-Encoder with Embedded Clustering. ICIP 2018: 4058-4062 - [c13]Gavin Tsang, Jingjing Deng, Xianghua Xie:
Recurrent Neural Networks for Financial Time-Series Modelling. ICPR 2018: 892-897 - 2017
- [b1]Jingjing Deng:
Adaptive learning for segmentation and detection. Swansea University, UK, 2017 - [c12]Dafydd Ravenscroft, Jingjing Deng, Xianghua Xie, Louise Terry, Tom H. Margrain, Rachel V. North, Ashley Wood:
AMD Classification in Choroidal OCT Using Hierarchical Texton Mining. ACIVS 2017: 237-248 - [c11]Dafydd Ravenscroft, Jingjing Deng, Xianghua Xie, Louise Terry, Tom H. Margrain, Rachel V. North, Ashley Wood:
Learning feature extractors for AMD classification in OCT using convolutional neural networks. EUSIPCO 2017: 51-55 - [c10]Jingjing Deng, Xianghua Xie:
Nested Shallow CNN-Cascade for Face Detection in the Wild. FG 2017: 165-172 - [c9]Jingjing Deng, Xianghua Xie:
Detect face in the wild using CNN cascade with feature aggregation at multi-resolution. ICIP 2017: 4167-4171 - [c8]Michael Edwards, Jingjing Deng, Xianghua Xie:
Labeling subtle conversational interactions within the CONVERSE dataset. PerCom Workshops 2017: 140-145 - 2016
- [j3]Michael Edwards, Jingjing Deng, Xianghua Xie:
From pose to activity: Surveying datasets and introducing CONVERSE. Comput. Vis. Image Underst. 144: 73-105 (2016) - [j2]Ben Daubney, Xianghua Xie, Jingjing Deng, Neil Mac Parthaláin, Reyer Zwiggelaar:
Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions. Image Vis. Comput. 52: 73-87 (2016) - [c7]Jingjing Deng, Xianghua Xie, Michael Edwards:
Combining Stacked Denoising Autoencoders and Random Forests for Face Detection. ACIVS 2016: 349-360 - [c6]Jingjing Deng, Xianghua Xie, Louise Terry, Ashley Wood, Nick S. White, Tom H. Margrain, Rachel V. North:
Age-Related Macular Degeneration Detection and Stage Classification Using Choroidal OCT Images. ICIAR 2016: 707-715 - 2015
- [i1]Michael Edwards, Jingjing Deng, Xianghua Xie:
From Pose to Activity: Surveying Datasets and Introducing CONVERSE. CoRR abs/1511.05788 (2015) - 2014
- [j1]Jingjing Deng, Xianghua Xie, Ben Daubney:
A bag of words approach to subject specific 3D human pose interaction classification with random decision forests. Graph. Model. 76(3): 162-171 (2014) - [c5]Arron Lacey, Jingjing Deng, Xianghua Xie:
Protein classification using Hidden Markov models and randomised decision trees. BMEI 2014: 659-664 - [c4]Jingjing Deng, Xianghua Xie, Shang-Ming Zhou:
Conversational Interaction Recognition Based on Bodily and Facial Movement. ICIAR (1) 2014: 237-245 - [c3]Jingjing Deng, Xianghua Xie, Rob Alcock, Carl Roobottom:
3D interactive coronary artery segmentation using random forests and Markov random field optimization. ICIP 2014: 942-946 - 2013
- [c2]Jingjing Deng, Xianghua Xie, Ben Daubney, Hui Fang, Phil W. Grant:
Recognizing Conversational Interaction Based on 3D Human Pose. ACIVS 2013: 138-149 - [c1]Hui Fang, Jingjing Deng, Xianghua Xie, Philip W. Grant:
From clamped local shape models to global shape model. ICIP 2013: 3513-3517
Coauthor Index
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