Xi Wu

Orcid: 0000-0002-7659-1631

Affiliations:
  • Chengdu University of Information Technology, School of Computer Science, China
  • Sichuan University, College of Electronic and Information Engineering, Chengdu, China (PhD 2012)


According to our database1, Xi Wu authored at least 139 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Cross-Chain Interoperability and Collaboration for Keyword-Based Embedded Smart Contracts in Internet of Things.
IEEE Internet Things J., March, 2024

Dual-granularity feature fusion in visible-infrared person re-identification.
IET Image Process., March, 2024

Semi-supervised medical image segmentation via hard positives oriented contrastive learning.
Pattern Recognit., February, 2024

CAGAN: Classifier-augmented generative adversarial networks for weakly-supervised COVID-19 lung lesion localisation.
IET Comput. Vis., February, 2024

3D multi-modality Transformer-GAN for high-quality PET reconstruction.
Medical Image Anal., January, 2024

Exploring Domain-Invariant Feature Space for Unsupervised Cross-Domain Facial Expression Recognition via Diffusion Model.
IEEE Trans. Instrum. Meas., 2024

Deep Learning for Near-Surface Air Temperature Estimation From FengYun 4A Satellite Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Ma<sup>2</sup>SP: Missing-Aware Prompting With Modality-Adaptive Integration for Incomplete Multi-Modal Survival Prediction.
IEEE Signal Process. Lett., 2024

Source-free domain adaptation via dynamic pseudo labeling and Self-supervision.
Pattern Recognit., 2024

BTMuda: A Bi-level Multi-source unsupervised domain adaptation framework for breast cancer diagnosis.
CoRR, 2024

ARANet: Attention-based Residual Adversarial Network with Deep Supervision for Radiotherapy Dose Prediction of Cervical Cancer.
CoRR, 2024

An Explainable Non-local Network for COVID-19 Diagnosis.
CoRR, 2024

S3PET: Semi-supervised Standard-dose PET Image Reconstruction via Dose-aware Token Swap.
CoRR, 2024

Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection.
CoRR, 2024

Efficient Image Super-Resolution via Symmetric Visual Attention Network.
CoRR, 2024

Learning with Alignments: Tackling the Inter- and Intra-domain Shifts for Cross-multidomain Facial Expression Recognition.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Robustly Optimized Deep Feature Decoupling Network for Fatty Liver Diseases Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

UMedNeRF: Uncertainty-Aware Single View Volumetric Rendering For Medical Neural Radiance Fields.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

X-Transfer: A Transfer Learning-Based Framework for GAN-Generated Fake Image Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024

Uncertainty-Aware Explainable Recommendation with Large Language Models.
Proceedings of the International Joint Conference on Neural Networks, 2024

Efficient Image Super-Resolution via Symmetric Visual Attention Network.
Proceedings of the International Joint Conference on Neural Networks, 2024

Masked Conditional Diffusion Model for Enhancing Deepfake Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024

DCL-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024

Image2Points: A 3D Point-Based Context Clusters GAN for High-Quality Pet Image Reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Automatic Head-and-Neck Tumor Segmentation in MRI via an End-to-End Adversarial Network.
Neural Process. Lett., December, 2023

Unsupervised Domain Adaptive Dose Prediction via Cross-Attention Transformer and Target-Specific Knowledge Preservation.
Int. J. Neural Syst., November, 2023

TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification.
Medical Image Anal., October, 2023

Multi-level progressive transfer learning for cervical cancer dose prediction.
Pattern Recognit., September, 2023

A Transformer-Embedded Multi-Task Model for Dose Distribution Prediction.
Int. J. Neural Syst., August, 2023

Dual-feature Fusion Attention Network for Small Object Segmentation.
Comput. Biol. Medicine, June, 2023

Pluralistic Face Inpainting With Transformation of Attribute Information.
IEEE Trans. Multim., 2023

Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation.
Knowl. Based Syst., 2023

Facial Expression Recognition with Contrastive Learning and Uncertainty-Guided Relabeling.
Int. J. Neural Syst., 2023

UMedNeRF: Uncertainty-aware Single View Volumetric Rendering for Medical Neural Radiance Fields.
CoRR, 2023

Diffusion-based Radiotherapy Dose Prediction Guided by Inter-slice Aware Structure Encoding.
CoRR, 2023

X-Transfer: A Transfer Learning-Based Framework for Robust GAN-Generated Fake Image Detection.
CoRR, 2023

Improving Cross-dataset Deepfake Detection with Deep Information Decomposition.
CoRR, 2023

Deep Reinforcement Learning for Image-to-Image Translation.
CoRR, 2023

Attacking Important Pixels for Anchor-free Detectors.
CoRR, 2023

Attention Guided Policy Optimization for 3D Medical Image Registration.
IEEE Access, 2023

DiffDP: Radiotherapy Dose Prediction via a Diffusion Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Leveraging Hard Positives for Contrastive Learning in Semi-Supervised Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

RMBench: Benchmarking Deep Reinforcement Learning for Robotic Manipulator Control.
IROS, 2023

Controlling Neural Style Transfer with Deep Reinforcement Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

LION: Label Disambiguation for Semi-supervised Facial Expression Recognition with Progressive Negative Learning.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results.
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Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Harnessing the Power of Text-image Contrastive Models for Automatic Detection of Online Misinformation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Multi-Modal MRI Image Synthesis via GAN With Multi-Scale Gate Mergence.
IEEE J. Biomed. Health Informatics, 2022

DE-GAN: Domain Embedded GAN for High Quality Face Image Inpainting.
Pattern Recognit., 2022

ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease.
Pattern Recognit., 2022

Learning a deep dual-level network for robust DeepFake detection.
Pattern Recognit., 2022

Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning.
Medical Image Anal., 2022

D2FE-GAN: Decoupled dual feature extraction based GAN for MRI image synthesis.
Knowl. Based Syst., 2022

Unified medical image segmentation by learning from uncertainty in an end-to-end manner.
Knowl. Based Syst., 2022

Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction.
Knowl. Based Syst., 2022

Semi-supervised NPC segmentation with uncertainty and attention guided consistency.
Knowl. Based Syst., 2022

An Efficient Semi-Supervised Framework with Multi-Task and Curriculum Learning for Medical Image Segmentation.
Int. J. Neural Syst., 2022

Multistage semantic-aware image inpainting with stacked generator networks.
Int. J. Intell. Syst., 2022

DDNet: 3D densely connected convolutional networks with feature pyramids for nasopharyngeal carcinoma segmentation.
IET Image Process., 2022

Rethinking CAM in Weakly-Supervised Semantic Segmentation.
IEEE Access, 2022

3D CVT-GAN: A 3D Convolutional Vision Transformer-GAN for PET Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Two-Phase Progressive Deep Transfer Learning for Cervical Cancer Dose Map Prediction.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Mask-Free Radiotherapy Dose Prediction via Multi-Task Learning.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Contrastive Class-Specific Encoding for Few-Shot Object Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Stochastic Planner-Actor-Critic for Unsupervised Deformable Image Registration.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Automatic vertebrae recognition from arbitrary spine MRI images by a category-Consistent self-calibration detection framework.
Medical Image Anal., 2021

End-to-end multimodal image registration via reinforcement learning.
Medical Image Anal., 2021

DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images.
Neurocomputing, 2021

Edge-preserving MRI image synthesis via adversarial network with iterative multi-scale fusion.
Neurocomputing, 2021

Deep Learning based Multi-modal Computing with Feature Disentanglement for MRI Image Synthesis.
CoRR, 2021

LR-cGAN: Latent representation based conditional generative adversarial network for multi-modality MRI synthesis.
Biomed. Signal Process. Control., 2021

Face inpainting based on GAN by facial prediction and fusion as guidance information.
Appl. Soft Comput., 2021

Tripled-Uncertainty Guided Mean Teacher Model for Semi-supervised Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Incorporating Isodose Lines and Gradient Information via Multi-task Learning for Dose Prediction in Radiotherapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Coarse-To-Fine Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

3D Transformer-GAN for High-Quality PET Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Multi-Task Curriculum Learning For Semi-Supervised Medical Image Segmentation.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Adaptive Multi-Organ Loss Based Generative Adversarial Network For Automatic Dose Prediction In Radiotherapy.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Stochastic Actor-Executor-Critic for Image-to-Image Translation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Transferable Adversarial Examples for Anchor Free Object Detection.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Imperceptible Adversarial Examples For Fake Image Detection.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021


2020
Image segmentation of nasopharyngeal carcinoma using 3D CNN with long-range skip connection and multi-scale feature pyramid.
Soft Comput., 2020

Functional neural interactions during adaptive reward learning: An functional magnetic resonance imaging study.
Int. J. Imaging Syst. Technol., 2020

Conformal Feature-Selection Wrappers and ensembles for negative-transfer avoidance.
Neurocomputing, 2020

Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection.
CoRR, 2020

A Spatiotemporal Agent for Robust Multimodal Registration.
IEEE Access, 2020

Noise-Robust MRI Upsampling Using Adaptive Local Steering Kernel.
IEEE Access, 2020

Discriminative Dictionary-Embedded Network for Comprehensive Vertebrae Tumor Diagnosis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Fast Local Attack: Generating Local Adversarial Examples for Object Detectors.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Squeeze the Ball: Designing an Interactive Playground towards Aiding Social Activities of Children with Low-Function Autism.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019
3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis.
IEEE Trans. Medical Imaging, 2019

Functional Informed Fiber Tracking Using Combination of Diffusion and Functional MRI.
IEEE Trans. Biomed. Eng., 2019

Patch-wise label propagation for MR brain segmentation based on multi-atlas images.
Multim. Syst., 2019

Automatic spondylolisthesis grading from MRIs across modalities using faster adversarial recognition network.
Medical Image Anal., 2019

Towards Accurate and Robust Multi-Modal Medical Image Registration Using Contrastive Metric Learning.
IEEE Access, 2019

Target-Dependent Sentiment Classification With BERT.
IEEE Access, 2019

ACNET: Attention-based Convolution Network with Additional Discriminative Features for DCM Classification (S).
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

Generative Adversarial Networks with Enhanced Symmetric Residual Units for Single Image Super-Resolution.
Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Automatic Vertebrae Recognition from Arbitrary Spine MRI Images by a Hierarchical Self-calibration Detection Framework.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Multi-modality Network for Cardiomyopathy Death Risk Prediction with CMR Images and Clinical Information.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Embeddings and Convolution, Is That the Best You can Do with Sentiment Features?
Proceedings of the International Joint Conference on Neural Networks, 2019

CCNET: Cascading Convolutions for Cardiac Segmentation.
Proceedings of the Artificial Intelligence and Security - 5th International Conference, 2019

PWGAN: wasserstein GANs with perceptual loss for mode collapse.
Proceedings of the ACM Turing Celebration Conference - China, 2019

Multimodality white matter tract segmentation using CNN.
Proceedings of the ACM Turing Celebration Conference - China, 2019

2018
An Energy-Efficient Network-Wide Broadcast Protocol for Asynchronous Wireless Sensor Networks.
IEEE Wirel. Commun. Lett., 2018

CUNet: A Compact Unsupervised Network For Image Classification.
IEEE Trans. Multim., 2018

Automatic detection of boundary points based on local geometrical measures.
Soft Comput., 2018

Noise robust single image super-resolution using a multiscale image pyramid.
Signal Process., 2018

Automatic Tumor Segmentation with Deep Convolutional Neural Networks for Radiotherapy Applications.
Neural Process. Lett., 2018

Patch-Based Label Fusion with Structured Discriminant Embedding for Hippocampus Segmentation.
Neuroinformatics, 2018

3D conditional generative adversarial networks for high-quality PET image estimation at low dose.
NeuroImage, 2018

DTNs for monitoring of communicable diseases in urban environments.
J. Comput. Methods Sci. Eng., 2018

ICANet: a simple cascade linear convolution network for face recognition.
EURASIP J. Image Video Process., 2018

Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Tumor segmentation via multi-modality joint dictionary learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

A discriminative learning based approach for automated nasopharyngeal carcinoma segmentation leveraging multi-modality similarity metric learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Outlier Detection Based on the Data Structure.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Noise Robust Single Image Super-Resolution Using a Multiscale Image Pyramid.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Table War: A Tower-Defense Game Device with Augmented Reality Projection.
Proceedings of the Sixth International Symposium of Chinese CHI, 2018

Deep Learning intra-image and inter-images features for Co-saliency detection.
Proceedings of the British Machine Vision Conference 2018, 2018

Robust Multimodal Image Registration Using Deep Recurrent Reinforcement Learning.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.
IEEE Trans. Biomed. Eng., 2017

Functional connectivity and activity of white matter in somatosensory pathways under tactile stimulations.
NeuroImage, 2017

A Semi-supervised manifold alignment algorithm and an evaluation method based on local structure preservation.
Neurocomputing, 2017

Optimizing Opportunistic Routing in Asynchronous Wireless Sensor Networks.
IEEE Commun. Lett., 2017

Second-Order Regression-Based MR Image Upsampling.
Comput. Math. Methods Medicine, 2017

ERMPD: An efficient and robustness membrane potential driven supervised learning in spiking neural networks.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Research on quantitative quality evaluation method based on double cycles.
Proceedings of the ACM Turing 50th Celebration Conference, 2017

2016
Analysis of micro-Doppler signatures of vibration targets using EMD and SPWVD.
Neurocomputing, 2016

Diffusion-Weighted Images Superresolution Using High-Order SVD.
Comput. Math. Methods Medicine, 2016

Patch-Based Hippocampus Segmentation Using a Local Subspace Learning Method.
Proceedings of the Machine Learning in Medical Imaging - 7th International Workshop, 2016

2015
Image Motion Restoration Using Fractional-Order Gradient Prior.
Informatica, 2015

A New Framework for Container Code Recognition by Using Segmentation-Based and HMM-Based Approaches.
Int. J. Pattern Recognit. Artif. Intell., 2015

Predicting Standard-Dose PET Image from Low-Dose PET and Multimodal MR Images Using Mapping-Based Sparse Representation.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

2012
Improved DCT-Based Nonlocal Means Filter for MR Images Denoising.
Comput. Math. Methods Medicine, 2012


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