Jingjing Deng

According to our database, Jingjing Deng authored at least 35 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A survey on vulnerability of federated learning: A learning algorithm perspective.

Xianghua Xie, Chen Hu, Hanchi Ren, Jingjing Deng

Neurocomputing, March, 2024

FedBoosting: Federated learning with gradient protected boosting for text recognition.

Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Yichuan Wang

Neurocomputing, February, 2024

Image restoration with group sparse representation and low-rank group residual learning.

Zhaoyuan Cai, Xianghua Xie, Jingjing Deng, Zengfa Dou, Bo Tong, Xiaoke Ma

IET Image Process., February, 2024

Sentinel-Guided Zero-Shot Learning: A Collaborative Paradigm without Real Data Exposure.

Fan Wan, Xingyu Miao, Haoran Duan, Jingjing Deng, Rui Gao, Yang Long

CoRR, 2024

2023

Gradient Leakage Defense with Key-Lock Module for Federated Learning.

Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Jianfeng Ma

CoRR, 2023

An Element-Wise Weights Aggregation Method for Federated Learning.

Yi Hu, Hanchi Ren, Chen Hu, Jingjing Deng, Xianghua Xie

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning.

Hanchi Ren, Jingjing Deng, Xianghua Xie

ACM Trans. Intell. Syst. Technol., 2022

A directed graph convolutional neural network for edge-structured signals in link-fault detection.

Michael P. Kenning, Jingjing Deng, Michael Edwards, Xianghua Xie

Pattern Recognit. Lett., 2022

Joint multi-label learning and feature extraction for temporal link prediction.

Xiaoke Ma, Shiyin Tan, Xianghua Xie, Xiaoxiong Zhong, Jingjing Deng

Pattern Recognit., 2022

2021

3D Interactive Segmentation With Semi-Implicit Representation and Active Learning.

Jingjing Deng, Xianghua Xie

IEEE Trans. Image Process., 2021

TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain.

Yan Wang, Zuheng Xia, Jingjing Deng, Xianghua Xie, Maoguo Gong, Xiaoke Ma

BMC Bioinform., 2021

Locating Datacenter Link Faults with a Directed Graph Convolutional Neural Network.

Michael P. Kenning, Jingjing Deng, Michael Edwards, Xianghua Xie

Proceedings of the 10th International Conference on Pattern Recognition Applications and Methods, 2021

2020

Privacy Preserving Text Recognition with Gradient-Boosting for Federated Learning.

Hanchi Ren, Jingjing Deng, Xianghua Xie

CoRR, 2020

MedZip: 3D Medical Images Lossless Compressor Using Recurrent Neural Network (LSTM).

Omniah H. Nagoor, Joss Whittle, Jingjing Deng, Benjamin Mora, Mark W. Jones

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Lossless Compression For Volumetric Medical Images Using Deep Neural Network With Local Sampling.

Omniah H. Nagoor, Joss Whittle, Jingjing Deng, Benjamin Mora, Mark W. Jones

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Learning Discriminatory Deep Clustering Models.

Ali Alqahtani, Xianghua Xie, Jingjing Deng, Mark W. Jones

Proceedings of the Computer Analysis of Images and Patterns, 2019

2018

Recurrent Neural Networks for Financial Time-Series Modelling.

Gavin Tsang, Jingjing Deng, Xianghua Xie

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Local Representation Learning with A Convolutional Autoencoder.

Michael P. Kenning, Xianghua Xie, Michael Edwards, Jingjing Deng

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A Deep Convolutional Auto-Encoder with Embedded Clustering.

Ali Alqahtani, Xianghua Xie, Jingjing Deng, Mark W. Jones

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017

Adaptive learning for segmentation and detection.

Jingjing Deng

PhD thesis, 2017

Labeling subtle conversational interactions within the CONVERSE dataset.

Michael Edwards, Jingjing Deng, Xianghua Xie

Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017

Detect face in the wild using CNN cascade with feature aggregation at multi-resolution.

Jingjing Deng, Xianghua Xie

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Nested Shallow CNN-Cascade for Face Detection in the Wild.

Jingjing Deng, Xianghua Xie

Proceedings of the 12th IEEE International Conference on Automatic Face & Gesture Recognition, 2017

Learning feature extractors for AMD classification in OCT using convolutional neural networks.

Dafydd Ravenscroft, Jingjing Deng, Xianghua Xie, Louise Terry, Tom H. Margrain, Rachel V. North, Ashley Wood

Proceedings of the 25th European Signal Processing Conference, 2017

AMD Classification in Choroidal OCT Using Hierarchical Texton Mining.

Dafydd Ravenscroft, Jingjing Deng, Xianghua Xie, Louise Terry, Tom H. Margrain, Rachel V. North, Ashley Wood

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2017

2016

Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions.

Ben Daubney, Xianghua Xie, Jingjing Deng, Neil Mac Parthaláin, Reyer Zwiggelaar

Image Vis. Comput., 2016

From pose to activity: Surveying datasets and introducing CONVERSE.

Michael Edwards, Jingjing Deng, Xianghua Xie

Comput. Vis. Image Underst., 2016

Age-Related Macular Degeneration Detection and Stage Classification Using Choroidal OCT Images.

Jingjing Deng, Xianghua Xie, Louise Terry, Ashley Wood, Nick S. White, Tom H. Margrain, Rachel V. North

Proceedings of the Image Analysis and Recognition - 13th International Conference, 2016

Combining Stacked Denoising Autoencoders and Random Forests for Face Detection.

Jingjing Deng, Xianghua Xie, Michael Edwards

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2016

2014

A bag of words approach to subject specific 3D human pose interaction classification with random decision forests.

Jingjing Deng, Xianghua Xie, Ben Daubney

Graph. Model., 2014

3D interactive coronary artery segmentation using random forests and Markov random field optimization.

Jingjing Deng, Xianghua Xie, Rob Alcock, Carl Roobottom

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Conversational Interaction Recognition Based on Bodily and Facial Movement.

Jingjing Deng, Xianghua Xie, Shang-Ming Zhou

Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014

Protein classification using Hidden Markov models and randomised decision trees.

Arron Lacey, Jingjing Deng, Xianghua Xie

Proceedings of the 7th International Conference on Biomedical Engineering and Informatics, 2014

2013

From clamped local shape models to global shape model.

Hui Fang, Jingjing Deng, Xianghua Xie, Philip W. Grant

Proceedings of the IEEE International Conference on Image Processing, 2013

Recognizing Conversational Interaction Based on 3D Human Pose.

Jingjing Deng, Xianghua Xie, Ben Daubney, Hui Fang, Phil W. Grant

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2013