Xianghua Xie

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 89

Top Venues

CoRR

ICIP

IEEE Trans. Image Process.

ICPR

Publications

Fergus Pick, Xianghua Xie, Lin Yuanbo Wu
Contrastive Multitask Transformer for Hospital Mortality and Length-of-Stay Prediction. AIiH (1) (2024)
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) (2024)
Francis Xiatian Zhang, Shuang Chen, Xianghua Xie, Hubert P. H. Shum
Depth-Aware Endoscopic Video Inpainting. CoRR (2024)
Felix Richards, Adeline Paiement, Xianghua Xie, Elisabeth Sola, Pierre-Alain Duc
Panoptic Segmentation of Galactic Structures in LSB Images. CoRR (2024)
Xianghua Xie, Chen Hu, Hanchi Ren, Jingjing Deng
A survey on vulnerability of federated learning: A learning algorithm perspective. Neurocomputing 573 (2024)
Hassan Eshkiki, Benjamin Mora, Xianghua Xie
Fully Connected Networks on a Diet With the Mediterranean Matrix Multiplication. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Ali Guran, Gary K. L. Tam, James Chess, Xianghua Xie
Multi-stage Chronic Kidney Disease Classification on Longitudinal Data. AIiH (1) (2024)
Deyin Liu, Lin Yuanbo Wu, Bo Li, Farid Boussaïd, Mohammed Bennamoun, Xianghua Xie, Chengwu Liang
Jacobian norm with Selective Input Gradient Regularization for interpretable adversarial defense. Pattern Recognit. 145 (2024)
Suraj Ramchand, Xianghua Xie
Augmenting Infrequent Relationships in Clinical Language Models with Graph-Encoded Hierarchical Ontologies. AIiH (1) (2024)
Majedaldein Almahasneh, Adeline Paiement, Xianghua Xie, Jean Aboudarham
MLMT-CNN for Object Detection and Segmentation in Multi-layer and Multi-spectral Images. CoRR (2024)
Avishek Siris, Jianbo Jiao, Gary K. L. Tam, Xianghua Xie, Rynson W. H. Lau
Inferring Attention Shifts for Salient Instance Ranking. Int. J. Comput. Vis. 132 (3) (2024)
Yi Hu, Hanchi Ren, Chen Hu, Jingjing Deng, Xianghua Xie
An Element-Wise Weights Aggregation Method for Federated Learning. CoRR (2024)
Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Yichuan Wang
FedBoosting: Federated learning with gradient protected boosting for text recognition. Neurocomputing 569 (2024)
Felix Richards, Adeline Paiement, Xianghua Xie, Elisabeth Sola, Pierre-Alain Duc
Multi-scale gridded Gabor attention for cirrus segmentation. CoRR (2024)
Majedaldein Almahasneh, Xianghua Xie, Adeline Paiement
AttentNet: Fully Convolutional 3D Attention for Lung Nodule Detection. CoRR (2024)
Junhui Yin, Xinyu Zhang, Lin Wu, Xianghua Xie, Xiaojie Wang
In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model. CoRR (2024)
Chen Hu, Xianghua Xie, Lin Wu
Face reenactment via generative landmark guidance. Image Vis. Comput. 130 (2023)
Sachin Bahade, Michael Edwards, Xianghua Xie
Graph Proposal Neural Networks for Cell Detection Immunostained Hodgkin Lymphoma Histology Images. ISBI (2023)
Alexander J. M. Milne, Xianghua Xie
Predicting Surface Texture in Steel Manufacturing at Speed. CoRR (2023)
Xianghua Xie, Chen Hu, Hanchi Ren, Jingjing Deng
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective. CoRR (2023)
Connor Clarkson, Michael Edwards, Xianghua Xie
Active Anchors. EICS (Companion) (2023)
Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Jianfeng Ma
Gradient Leakage Defense with Key-Lock Module for Federated Learning. CoRR (2023)
Felix Richards, Adeline Paiement, Xianghua Xie, Elisabeth Sola, Pierre-Alain Duc
Panoptic Segmentation of Galactic Structures in LSB Images. MVA (2023)
Lin Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaïd, Mohammed Bennamoun, Xianghua Xie
Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. IEEE Trans. Image Process. 32 (2023)
Alexander J. M. Milne, Xianghua Xie
Steel Surface Roughness Parameter Calculations Using Lasers and Machine Learning Models. CoRR (2023)
Yi Hu, Hanchi Ren, Chen Hu, Jingjing Deng, Xianghua Xie
An Element-Wise Weights Aggregation Method for Federated Learning. ICDM (Workshops) (2023)
Bo Li, Lin Yuanbo Wu, Deyin Liu, Hongyang Chen, Yuanxin Ye, Xianghua Xie
Image Template Matching via Dense and Consistent Contrastive Learning. ICME (2023)
Majedaldein Almahasneh, Adeline Paiement, Xianghua Xie, Jean Aboudarham
MSMT-CNN for Solar Active Region Detection with Multi-Spectral Analysis. SN Comput. Sci. 3 (3) (2022)
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) (2022)
Majedaldein Almahasneh, Adeline Paiement, Xianghua Xie, Jean Aboudarham
MLMT-CNN for object detection and segmentation in multi-layer and multi-spectral images. Mach. Vis. Appl. 33 (1) (2022)
Zengfa Dou, Xiaoke Ma, Xianghua Xie, Hui Liu, Chubing Guo
A hybrid method of detecting flame from video stream. IET Image Process. 16 (11) (2022)
David George, Xianghua Xie, Yu-Kun Lai, Gary K. L. Tam
A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections. Comput. Aided Des. 144 (2022)
Felix Richards, Xianghua Xie, Adeline Paiement, E. Sola, Pierre-Alain Duc
Multi-Scale Gridded Gabor Attention for Cirrus Segmentation. ICIP (2022)
Chen Hu, Xianghua Xie
One-Shot Decoupled Face Reenactment with Vision Transformer. ICPRAI (2) (2022)
Suraj Ramchand, Gavin Tsang, Duncan Cole, Xianghua Xie
RetainEXT: Enhancing Rare Event Detection and Improving Interpretability of Health Records using Temporal Neural Networks. BHI (2022)
Xiaoke Ma, Shiyin Tan, Xianghua Xie, Xiaoxiong Zhong, Jingjing Deng
Joint multi-label learning and feature extraction for temporal link prediction. Pattern Recognit. 121 (2022)
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 (2022)
Ali Alqahtani, Xianghua Xie, Mark W. Jones
Literature Review of Deep Network Compression. Informatics 8 (4) (2021)
Ehab Essa, Xianghua Xie
An Ensemble of Deep Learning-Based Multi-Model for ECG Heartbeats Arrhythmia Classification. IEEE Access 9 (2021)
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. (9) (2021)
Michael P. Kenning, Jingjing Deng, Michael Edwards, Xianghua Xie
Locating Datacenter Link Faults with a Directed Graph Convolutional Neural Network. ICPRAM (2021)
Stavros Georgousis, Michael P. Kenning, Xianghua Xie
Graph Deep Learning: State of the Art and Challenges. IEEE Access 9 (2021)
Ali Alqahtani, Xianghua Xie, Mark W. Jones, Ehab Essa
Pruning CNN filters via quantifying the importance of deep visual representations. Comput. Vis. Image Underst. (2021)
Avishek Siris, Jianbo Jiao, Gary K. L. Tam, Xianghua Xie, Rynson W. H. Lau
Scene Context-Aware Salient Object Detection. ICCV (2021)
Sachin Bahade, Michael Edwards, Xianghua Xie
Graph Convolution Networks for Cell Segmentation. ICPRAM (2021)
Majedaldein Almahasneh, Adeline Paiement, Xianghua Xie, Jean Aboudarham
Active Region Detection in Multi-spectral Solar Images. ICPRAM (2021)
Jingjing Deng, Xianghua Xie
3D Interactive Segmentation With Semi-Implicit Representation and Active Learning. IEEE Trans. Image Process. 30 (2021)
Hanchi Ren, Jingjing Deng, Xianghua Xie
GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. CoRR (2021)
Huaizhong Zhang, Ehab Essa, Xianghua Xie
Automatic vessel lumen segmentation in optical coherence tomography (OCT) images. Appl. Soft Comput. 88 (2020)
Hanchi Ren, Jingjing Deng, Xianghua Xie
Privacy Preserving Text Recognition with Gradient-Boosting for Federated Learning. CoRR (2020)
Ehab Essa, Xianghua Xie
Multi-model Deep Learning Ensemble for ECG Heartbeat Arrhythmia Classification. EUSIPCO (2020)
Avishek Siris, Jianbo Jiao, Gary K. L. Tam, Xianghua Xie, Rynson W. H. Lau
Inferring Attention Shift Ranks of Objects for Image Saliency. CVPR (2020)
Felix Richards, Adeline Paiement, Xianghua Xie, Pierre-Alain Duc
Learnable Gabor modulated complex-valued networks for orientation robustness. CoRR (2020)
Gavin Tsang, Xianghua Xie
Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset. ICPR (2020)
Ali Alqahtani, Xianghua Xie, Ehab Essa, Mark W. Jones
Neuron-based Network Pruning Based on Majority Voting. ICPR (2020)
Lee Au-Yeung, Xianghua Xie, James Chess, Timothy Scale
Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care. ICPR (2020)
Michael Edwards, Xianghua Xie, Robert Ieuan Palmer, Gary K. L. Tam, Rob Alcock, Carl Roobottom
Graph convolutional neural network for multi-scale feature learning. Comput. Vis. Image Underst. 194 (2020)
Mohammed Ali, Mark W. Jones, Xianghua Xie, Mark Williams
TimeCluster: dimension reduction applied to temporal data for visual analytics. Vis. Comput. 35 (6-8) (2019)
Taiwei Wang, K. Vladimirov, S. Goh, Yu-Kun Lai, Xianghua Xie, Gary K. L. Tam
Robust and Flexible Puzzle Solving with Corner-based Cycle Consistent Correspondences. CGVC (2019)
Ali Alqahtani, Xianghua Xie, Jingjing Deng, Mark W. Jones
Learning Discriminatory Deep Clustering Models. CAIP (1) (2019)
Alex Momotov, Xianghua Xie
Determining Lead-Lag Structure between Sentiment Index and Stock Price Returns. ICVISP (2019)
Mohammed Ali, Ali Alqahtani, Mark W. Jones, Xianghua Xie
Clustering and Classification for Time Series Data in Visual Analytics: A Survey. IEEE Access 7 (2019)
Taiwei Wang, David George, Yu-Kun Lai, Xianghua Xie, Gary K. L. Tam
Consistent segment-wise matching with multi-layer graphs. Comput. Aided Geom. Des. 70 (2019)
Mohammed Ali, Mark W. Jones, Xianghua Xie, Mark Williams
Towards Visual Exploration of Large Temporal Datasets. BDVA (2018)
Ali Alqahtani, Xianghua Xie, Jingjing Deng, Mark W. Jones
A Deep Convolutional Auto-Encoder with Embedded Clustering. ICIP (2018)
Gavin Tsang, Jingjing Deng, Xianghua Xie
Recurrent Neural Networks for Financial Time-Series Modelling. ICPR (2018)
Michael P. Kenning, Xianghua Xie, Michael Edwards, Jingjing Deng
Local Representation Learning with A Convolutional Autoencoder. ICIP (2018)
Paul Stroe, Xianghua Xie, Adeline Paiement
Manifold Modeling of the Beating Heart Motion. MIUA (2018)
David George, Xianghua Xie, Gary K. L. Tam
3D mesh segmentation via multi-branch 1D convolutional neural networks. Graph. Model. 96 (2018)
David George, Xianghua Xie, Yu-Kun Lai, Gary K. L. Tam
A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections. CoRR (2018)
Ehab Essa, Xianghua Xie
Automatic segmentation of cross-sectional coronary arterial images. Comput. Vis. Image Underst. 165 (2017)
Jingjing Deng, Xianghua Xie
Nested Shallow CNN-Cascade for Face Detection in the Wild. FG (2017)
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)
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)
Jingjing Deng, Xianghua Xie
Detect face in the wild using CNN cascade with feature aggregation at multi-resolution. ICIP (2017)
Michael Edwards, Jingjing Deng, Xianghua Xie
Labeling subtle conversational interactions within the CONVERSE dataset. PerCom Workshops (2017)
Xianghua Xie, Mark W. Jones, Gary K. L. Tam
Recognition, Tracking, and Optimisation. Int. J. Comput. Vis. 122 (3) (2017)
Igor Sazonov, Xianghua Xie, Perumal Nithiarasu
An improved method of computing geometrical potential force (GPF) employed in the segmentation of 3D and 4D medical images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5 (4) (2017)
David George, Xianghua Xie, Gary K. L. Tam
3D Mesh Segmentation via Multi-branch 1D Convolutional Neural Networks. CoRR (2017)
Ehab Essa, Xianghua Xie, Richard Turner, Matthew Stevens, Daniel Power
Extracting Lineage Information from Hand-Drawn Ancient Maps. ICIAR (2016)
Michael Edwards, Xianghua Xie
Graph Based Convolutional Neural Network. CoRR (2016)
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)
Jonathan-Lee Jones, Xianghua Xie
Interactive 3D Segmentation of Lymphatic Valves in Confocal Microscopic Images. ICIAR (2016)
Michael Edwards, Xianghua Xie
Graph Convolutional Neural Network. BMVC (2016)
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 (2016)
Jingjing Deng, Xianghua Xie, Michael Edwards
Combining Stacked Denoising Autoencoders and Random Forests for Face Detection. ACIVS (2016)
Michael Edwards, Jingjing Deng, Xianghua Xie
From pose to activity: Surveying datasets and introducing CONVERSE. Comput. Vis. Image Underst. 144 (2016)
Robert Ieuan Palmer, Xianghua Xie
Neural Network Boundary Detection for 3D Vessel Segmentation. ACIVS (2016)
Adeline Paiement, Majid Mirmehdi, Xianghua Xie, Mark C. K. Hamilton
Registration and Modeling From Spaced and Misaligned Image Volumes. IEEE Trans. Image Process. 25 (9) (2016)
Ehab Essa, Xianghua Xie, Jonathan-Lee Jones
Graph Based Lymphatic Vessel Wall Localisation and Tracking. GbRPR (2015)
Michael Edwards, Jingjing Deng, Xianghua Xie
From Pose to Activity: Surveying Datasets and Introducing CONVERSE. CoRR (2015)
Ehab Essa, Xianghua Xie, Rachel J. Errington, Nick S. White
A multi-stage random forest classifier for phase contrast cell segmentation. EMBC (2015)
Robert Ieuan Palmer, Xianghua Xie, Gary K. L. Tam
Automatic Aortic Root Segmentation with Shape Constraints and Mesh Regularisation. BMVC (2015)
Robert Ieuan Palmer, Gary K. L. Tam, Xianghua Xie, Rob Alcock, Carl Roobottom
Computing 3D Mesh Correspondence for Aortic Root Shape Modelling. MIUA (2015)
Robert Ieuan Palmer, Xianghua Xie, Gary K. L. Tam
Finding complete 3D vertex correspondence for statistical shape modeling. EMBC (2015)
Huaizhong Zhang, Xianghua Xie
Divergence of Gradient Convolution: Deformable Segmentation With Arbitrary Initializations. IEEE Trans. Image Process. 24 (11) (2015)
Ehab Essa, Xianghua Xie, Jonathan-Lee Jones
Minimum S-Excess Graph for Segmenting and Tracking Multiple Borders with HMM. MICCAI (2) (2015)
Jonathan-Lee Jones, Ehab Essa, Xianghua Xie
Automatic segmentation of lymph vessel wall using optimal surface graph cut and hidden Markov Models. EMBC (2015)
David James, Xianghua Xie, Parisa Eslambolchilar
A discriminative approach to automatic seizure detection in multichannel EEG signals. EUSIPCO (2014)
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) (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xianghua Xie