Ruixuan Wang

Orcid: 0000-0002-8714-0369

According to our database1, Ruixuan Wang authored at least 114 papers between 2005 and 2024.

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

Timeline

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Bibliography

2024
A Computing-in-Memory-Based One-Class Hyperdimensional Computing Model for Outlier Detection.
IEEE Trans. Computers, June, 2024

PAMI: Partition Input and Aggregate Outputs for Model Interpretation.
Pattern Recognit., January, 2024

Intensive Vision-guided Network for Radiology Report Generation.
CoRR, 2024

Night construction site detection based on ghost-YOLOX.
Connect. Sci., 2024

Continual learning for seizure prediction via memory projection strategy.
Comput. Biol. Medicine, 2024

Enhancing Task Identification Through Pseudo-OOD Features for Class-Incremental Learning.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

EFOA: Enhancing Out-of-Distribution Detection by Fake Outlier Augmentation.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Fine-Tuning of CLIP in Few-Shot Scenarios via Supervised Contrastive Learning.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Silicon Carbide Soliton Microcomb Generation for Narrow-grid Optical Communications.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

FodFoM: Fake Outlier Data by Foundation Models Creates Stronger Visual Out-of-Distribution Detector.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Deep Model Reference: Simple Yet Effective Confidence Estimation for Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

SiFT: A Serial Framework with Textual Guidance for Federated Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Expand and Merge: Continual Learning with the Guidance of Fixed Text Embedding Space.
Proceedings of the International Joint Conference on Neural Networks, 2024

Region Attention Fine-tuning with CLIP for Few-shot Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Out-of-Distribution Detection by Principal Component Correspondence.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

CtF: Mitigating Visual Confusion in Continual Learning Through a Coarse-To-Fine Screening.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Audio-Aided Learning Framework for Image Classification with Limited Training Images.
Proceedings of the IEEE International Conference on Acoustics, 2024

Generalizable Two-Branch Framework for Image Class-Incremental Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024

PP-HDC: A Privacy-Preserving Inference Framework for Hyperdimensional Computing.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

CVMIL: Cluster Variance Multiple Instance Learning for Whole Slide Images Survival Prediction.
Proceedings of the 2024 2nd Asia Conference on Computer Vision, 2024

MTSC2: Multi-task Survival Prediction on Colorectal CT Images with Clinical Information.
Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning, 2024

Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
An Uncertainty-Guided Deep Learning Method Facilitates Rapid Screening of CYP3A4 Inhibitors.
J. Chem. Inf. Model., December, 2023

Class attention to regions of lesion for imbalanced medical image recognition.
Neurocomputing, October, 2023

Effects of Virtual Map Navigation Mode on Route Retracing.
Int. J. Hum. Comput. Interact., July, 2023

SATS: Self-attention transfer for continual semantic segmentation.
Pattern Recognit., June, 2023

PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification.
IEEE J. Biomed. Health Informatics, April, 2023

EnHDC: Ensemble Learning for Brain-Inspired Hyperdimensional Computing.
IEEE Embed. Syst. Lett., March, 2023

Bit-line leakage current tracking and self-compensation circuit for SRAM reliability design.
Microelectron. J., February, 2023

Continual learning with Bayesian model based on a fixed pre-trained feature extractor.
Vis. Intell., 2023

An evaluation of copy and paste events in electronic notes of patients with hospital acquired conditions.
Int. J. Medical Informatics, 2023

A Target Detection Algorithm in Traffic Scenes Based on Deep Reinforcement Learning.
CoRR, 2023

Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection.
CoRR, 2023

Class Attention to Regions of Lesion for Imbalanced Medical Image Recognition.
CoRR, 2023

Adaptively Integrated Knowledge Distillation and Prediction Uncertainty for Continual Learning.
CoRR, 2023

Task-Incremental Medical Image Classification with Task-Specific Batch Normalization.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Feature Adaptation with CLIP for Few-shot Classification.
Proceedings of the ACM Multimedia Asia 2023, 2023

Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

A Synergistic Operation And Maintenance Service Method Of Complex Products Based On Knowledge Graph.
Proceedings of the 19th International Conference on Natural Computation, 2023

Revisit PCA-based technique for Out-of-Distribution Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Strategies for Enhanced Signal Modulation Classifications Under Unknown Symbol Rates and Noise Conditions.
Proceedings of the IEEE International Conference on Acoustics, 2023

Class-specific Prompts in Vision Transformer for Continual Learning of New Diseases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Semi-supervised Medical Image Segmentation via Feature-perturbed Consistency.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue.
Proceedings of the 28th Asia and South Pacific Design Automation Conference, 2023

Local Adversarial Attacks for Understanding Model Decisions.
Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications, 2023

2022
A Joint-Training Two-Stage Method For Remote Sensing Image Captioning.
IEEE Trans. Geosci. Remote. Sens., 2022

Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study.
Neural Comput. Appl., 2022

Assessing and Analyzing the Resilience of Graph Neural Networks Against Hardware Faults.
CoRR, 2022

Learning Discriminative Representation via Metric Learning for Imbalanced Medical Image Classification.
CoRR, 2022

PCCT: Progressive Class-Center Triplet Loss for Imbalanced Medical Image Classification.
CoRR, 2022

Automated Architecture Search for Brain-inspired Hyperdimensional Computing.
CoRR, 2022

Identification of chromosomal instability-associated genes as hepatocellular carcinoma progression-related biomarkers to guide clinical diagnosis, prognosis and therapy.
Comput. Biol. Medicine, 2022

Capturing Prior Knowledge in Soft Labels for Classification with Limited or Imbalanced Data.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Discriminative Distillation to Reduce Class Confusion in Continual Learning.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Task-Oriented Self-supervised Learning for Anomaly Detection in Electroencephalography.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Synthetic Minority with CutMix for Imbalanced Image Classification.
Proceedings of the Intelligent Systems and Applications, 2022

Improving Class Balancing at Both Feature Extractor and Classifier Head.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Energy-Efficient Brain-Inspired Hyperdimensional Computing Using Voltage Scaling.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

PoisonHD: Poison Attack on Brain-Inspired Hyperdimensional Computing.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

ODHD: one-class brain-inspired hyperdimensional computing for outlier detection.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

Expert with Outlier Exposure for Continual Learning of New Diseases.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

Handcrafted and Neural Network Based Features for Outlier Modulation Detection.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Understanding of Kernels in CNN Models by Suppressing Irrelevant Visual Features in Images.
CoRR, 2021

Discriminative Distillation to Reduce Class Confusion in Continual Learning.
CoRR, 2021

Preserving Earlier Knowledge in Continual Learning with the Help of All Previous Feature Extractors.
CoRR, 2021

Brief Industry Paper: HDAD: Hyperdimensional Computing-based Anomaly Detection for Automotive Sensor Attacks.
Proceedings of the 27th IEEE Real-Time and Embedded Technology and Applications Symposium, 2021

Data Augmentation in Logit Space for Medical Image Classification with Limited Training Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Alleviating Data Imbalance Issue with Perturbed Input During Inference.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Towards Unbiased Covid-19 Lesion Localisation And Segmentation Via Weakly Supervised Learning.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Iterative Ensemble Transductive Learning for Microscopy Image Analysis.
Proceedings of the International Conference on Computational Science and Computational Intelligence, 2021

Modality-shared MRI Image Translation Based on Conditional GAN.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Assessing Robustness of Hyperdimensional Computing Against Errors in Associative Memory : (Invited Paper).
Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020
Counterfeit Anomaly Using Generative Adversarial Network for Anomaly Detection.
IEEE Access, 2020

Deep kNN for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Abnormality Detection in Chest X-Ray Images Using Uncertainty Prediction Autoencoders.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Continual Learning of New Diseases with Dual Distillation and Ensemble Strategy.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Fusing Metadata and Dermoscopy Images for Skin Disease Diagnosis.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Class-Center Involved Triplet Loss for Skin Disease Classification on Imbalanced Data.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Cross-View Relation Networks for Mammogram Mass Detection.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Open Set Semantic Segmentation With Statistical Test And Adaptive Threshold.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Anomaly Detection on Electroencephalography with Self-supervised Learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019
Ensemble Transductive Learning for Skin Lesion Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Improving Robustness of Medical Image Diagnosis with Denoising Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Retinal Artery/Vein Classification via Rotation Augmentation and Deeply Supervised U-net Segmentation.
Proceedings of the 4th International Conference on Biomedical Signal and Image Processing, 2019

2018
Fully convolutional network ensembles for white matter hyperintensities segmentation in MR images.
NeuroImage, 2018

2017
Multi-task Fully Convolutional Network for Brain Tumour Segmentation.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

Boundary-Aware Fully Convolutional Network for Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Cardiac-gated Slit Lamp Videography as a Novel Approach to Assessing a Microcirculatory Network.
Proceedings of the Computing in Cardiology, 2017

2016
An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens.
Pattern Recognit., 2016

Hierarchical mix-pooling and its applications to biomedical image classification.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Low-Rank Prior in Single Patches for Nonpointwise Impulse Noise Removal.
IEEE Trans. Image Process., 2015

2014
Video-Specific SVMs for Colonoscopy Image Classification.
Proceedings of the Computer-Assisted and Robotic Endoscopy - First International Workshop, 2014

Inter-Cluster Features for Medical Image Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

HEp-2 Specimen Classification Using Multi-resolution Local Patterns and SVM.
Proceedings of the 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, 2014

HEp-2 Cell Classification Using Multi-resolution Local Patterns and Ensemble SVMs.
Proceedings of the 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, 2014

2013
Automatic normal-abnormal video frame classification for colonoscopy.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Extended Gaussian-Filtered Local Binary Patterns for Colonoscopy Image Classification.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013

Single-Patch Low-Rank Prior for Non-pointwise Impulse Noise Removal.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
3-D-2-D spatiotemporal registration for sports motion analysis.
Mach. Vis. Appl., 2012

2010
Visualizing Image Collections Using High-Entropy Layout Distributions.
IEEE Trans. Multim., 2010

Gaussian Process Learning from Order Relationships Using Expectation Propagation.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Learning Query-Dependent Distance Metrics for Interactive Image Retrieval.
Proceedings of the Computer Vision Systems, 2009

High-entropy layouts for content-based browsing and retrieval.
Proceedings of the 8th ACM International Conference on Image and Video Retrieval, 2009

2008
Regular Texture Analysis as Statistical Model Selection.
Proceedings of the Computer Vision, 2008

3D-2D spatiotemporal registration for sports motion analysis.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2006
A TCAM Management Scheme for IP Lookups.
Proceedings of the 14th IEEE International Conference on Networks, 2006

Human Posture Analysis Under Partial Self-occlusion.
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006

2005
Human body posture refinement by nonparametric belief propagation.
Proceedings of the 2005 International Conference on Image Processing, 2005

Human Posture Sequence Estimation Using Two Un-calibrated Cameras.
Proceedings of the British Machine Vision Conference 2005, Oxford, UK, September 2005, 2005


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