Xinxing Xu

Orcid: 0000-0003-1449-3072

According to our database1, Xinxing Xu authored at least 56 papers between 2011 and 2024.

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

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DS-Depth: Dynamic and Static Depth Estimation via a Fusion Cost Volume.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classification.
CoRR, 2024

A Surrogate-Assisted Extended Generative Adversarial Network for Parameter Optimization in Free-Form Metasurface Design.
CoRR, 2024

Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning.
CoRR, 2024

RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature Extraction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges.
Medical Image Anal., December, 2023

Federated benchmarking of medical artificial intelligence with MedPerf.
Nat. Mac. Intell., July, 2023

Contrastive domain adaptation with consistency match for automated pneumonia diagnosis.
Medical Image Anal., 2023

VQA4CIR: Boosting Composed Image Retrieval with Visual Question Answering.
CoRR, 2023

Leveraging Anatomical Constraints with Uncertainty for Pneumothorax Segmentation.
CoRR, 2023

Sentence-level Prompts Benefit Composed Image Retrieval.
CoRR, 2023

Towards Instance-adaptive Inference for Federated Learning.
CoRR, 2023

Uncertainty-inspired Open Set Learning for Retinal Anomaly Identification.
CoRR, 2023

Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment.
CoRR, 2023

TrFedDis: Trusted Federated Disentangling Network for Non-IID Domain Feature.
CoRR, 2023

Minimal-Supervised Medical Image Segmentation via Vector Quantization Memory.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Federated Uncertainty-Aware Aggregation for Fundus Diabetic Retinopathy Staging.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Category-Independent Visual Explanation for Medical Deep Network Understanding.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Towards Instance-adaptive Inference for Federated Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Learning Federated Visual Prompt in Null Space for MRI Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Deep Supervised Domain Adaptation for Pneumonia Diagnosis From Chest X-Ray Images.
IEEE J. Biomed. Health Informatics, 2022

Research on cluster operation optimization of multi-port energy routers.
IET Commun., 2022

REFUGE2 Challenge: Treasure for Multi-Domain Learning in Glaucoma Assessment.
CoRR, 2022

SLMGAN: Single-layer metasurface design with symmetrical free-form patterns using generative adversarial networks.
Appl. Soft Comput., 2022

Facing Annotation Redundancy: OCT Layer Segmentation with only 10 Annotated Pixels per Layer.
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Tiny-Lesion Segmentation in OCT via Multi-scale Wavelet Enhanced Transformer.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

Localizing Anatomical Landmarks in Ocular Images Using Zoom-In Attentive Networks.
Proceedings of the Ophthalmic Medical Image Analysis - 9th International Workshop, 2022

An Efficient Defending Mechanism Against Image Attacking on Medical Image Segmentation Models.
Proceedings of the Resource-Efficient Medical Image Analysis - First MICCAI Workshop, 2022

Airfoil Inverse Design using Conditional Generative Adversarial Networks.
Proceedings of the 17th International Conference on Control, 2022

CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
β-Delayed γ Emissions of 26P and Its Mirror Asymmetry.
Symmetry, 2021

Partially-Supervised Learning for Vessel Segmentation in Ocular Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Few-Shot Domain Adaptation with Polymorphic Transformers.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Medical Image Segmentation using Squeeze-and-Expansion Transformers.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Crowd Counting With Partial Annotations in an Image.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2019
Multi-discriminator Generative Adversarial Networks for Improved Thin Retinal Vessel Segmentation.
Proceedings of the Ophthalmic Medical Image Analysis - 6th International Workshop, 2019

Research on Data Mining Technology for Fault Correlation Analysis of Power Communication Network.
Proceedings of the 15th IEEE International Conference on Control and Automation, 2019

2018
Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning.
IEEE Trans. Cogn. Dev. Syst., 2018

Citation Field Learning by RNN with Limited Training Data.
Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

2017
Action and Event Recognition in Videos by Learning From Heterogeneous Web Sources.
IEEE Trans. Neural Networks Learn. Syst., 2017

Laplacian-Steered Neural Style Transfer.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016
Co-Labeling for Multi-View Weakly Labeled Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Simple and Efficient Learning using Privileged Information.
CoRR, 2016

Improved Recurrent Neural Networks for Session-based Recommendations.
Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

Transfer Hashing with Privileged Information.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification.
IEEE Trans. Neural Networks Learn. Syst., 2015

Image Classification With Densely Sampled Image Windows and Generalized Adaptive Multiple Kernel Learning.
IEEE Trans. Cybern., 2015

2014
Learning with multiple representations : algorithms and applications
PhD thesis, 2014

Learning the object location, scale and view for image categorization with adapted classifier.
Inf. Sci., 2014

Robust Text Detection in Natural Scenes Using Text Geometry and Visual Appearance.
Int. J. Autom. Comput., 2014

2013
Soft Margin Multiple Kernel Learning.
IEEE Trans. Neural Networks Learn. Syst., 2013

2012
Human Gait Recognition Using Patch Distribution Feature and Locality-Constrained Group Sparse Representation.
IEEE Trans. Image Process., 2012

Handling Ambiguity via Input-Output Kernel Learning.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Beyond Spatial Pyramids: A New Feature Extraction Framework with Dense Spatial Sampling for Image Classification.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Preliminary Study of Obstacles Detecting Method in Farmland Based on Stereovision.
Proceedings of the Intelligent Science and Intelligent Data Engineering, 2011


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