Yuxing Tang

Orcid: 0000-0002-6452-2751

According to our database1, Yuxing Tang authored at least 56 papers between 2005 and 2023.

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Bibliography

2023
BlockExplorer: Exploring Blockchain Big Data Via Parallel Processing.
IEEE Trans. Computers, August, 2023

Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
CoRR, 2023

Parse and Recall: Towards Accurate Lung Nodule Malignancy Prediction Like Radiologists.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Improved Prognostic Prediction of Pancreatic Cancer Using Multi-phase CT by Integrating Neural Distance and Texture-Aware Transformer.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MetaViT: Metabolism-Aware Vision Transformer for Differential Diagnosis of Parkinsonism with <sup>18</sup>F-FDG PET.
Proceedings of the Information Processing in Medical Imaging, 2023

CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Robust convolutional neural networks against adversarial attacks on medical images.
Pattern Recognit., 2022

Asymmetry and Architectural Distortion Detection with Limited Mammography Data.
Proceedings of the Medical Image Learning with Limited and Noisy Data, 2022

2021
Learning From Multiple Datasets With Heterogeneous and Partial Labels for Universal Lesion Detection in CT.
IEEE Trans. Medical Imaging, 2021

COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature.
IEEE Trans. Big Data, 2021

MommiNet-v2: Mammographic multi-view mass identification networks.
Medical Image Anal., 2021

A disentangled generative model for disease decomposition in chest X-rays via normal image synthesis.
Medical Image Anal., 2021

Discriminative ensemble learning for few-shot chest x-ray diagnosis.
Medical Image Anal., 2021

BI-RADS Classification of Calcification on Mammograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Supervised Contrastive Pre-training forMammographic Triage Screening Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Rethinking of Reentrancy on the Ethereum.
Proceedings of the IEEE Intl Conf on Dependable, 2021

Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Automated abnormality classification of chest radiographs using deep convolutional neural networks.
npj Digit. Medicine, 2020

Learning from Multiple Datasets with Heterogeneous and Partial Labels for Universal Lesion Detection in CT.
CoRR, 2020

SODA: A Generic Online Detection Framework for Smart Contracts.
Proceedings of the 27th Annual Network and Distributed System Security Symposium, 2020

Cross-domain Medical Image Translation by Shared Latent Gaussian Mixture Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

E<sup>2</sup>Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

COMe-SEE: Cross-modality Semantic Embedding Ensemble for Generalized Zero-Shot Diagnosis of Chest Radiographs.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Fast few-shot transfer learning for disease identification from chest x-ray images using autoencoder ensemble.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Bone suppression on chest radiographs with adversarial learning.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

Automatic recognition of abdominal lymph nodes from clinical text.
Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2019
ULDor: A Universal Lesion Detector for CT Scans with Pseudo Masks and Hard Negative Example Mining.
CoRR, 2019

XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

TUNA-Net: Task-Oriented UNsupervised Adversarial Network for Disease Recognition in Cross-domain Chest X-rays.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Deep adversarial one-class learning for normal and abnormal chest radiograph classification.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

CT-realistic data augmentation using generative adversarial network for robust lymph node segmentation.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019

Uldor: A Universal Lesion Detector For Ct Scans With Pseudo Masks And Hard Negative Example Mining.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Abnormal Chest X-Ray Identification With Generative Adversarial One-Class Classifier.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Visual and Semantic Knowledge Transfer for Large Scale Semi-Supervised Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Attention-Guided Curriculum Learning for Weakly Supervised Classification and Localization of Thoracic Diseases on Chest Radiographs.
Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

2017
Weakly Supervised Learning of Deformable Part-Based Models for Object Detection via Region Proposals.
IEEE Trans. Multim., 2017

Close Yet Distinctive Domain Adaptation.
CoRR, 2017

ACCDSE: A Design Space Exploration Framework for Convolutional Neural Network Accelerator.
Proceedings of the Computer Engineering and Technology - 21st CCF Conference, 2017

FixCaffe: Training CNN with Low Precision Arithmetic Operations by Fixed Point Caffe.
Proceedings of the Advanced Parallel Processing Technologies, 2017

2016
The Macro-DSE for HPC Processing Unit: The Physical Constraints Perspective.
Proceedings of the Green, Pervasive, and Cloud Computing - 11th International Conference, 2016

Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
A Global/Local Affinity Graph for Image Segmentation.
IEEE Trans. Image Process., 2015


A Scalable and Fast Microprocessor Design Space Exploration Methodology.
Proceedings of the IEEE 9th International Symposium on Embedded Multicore/Many-core Systems-on-Chip, 2015

2014

Fusing generic objectness and deformable part-based models for weakly supervised object detection.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Fan-shaped patch local binary patterns for texture classification.
Proceedings of the 11th International Workshop on Content-Based Multimedia Indexing, 2013

2012

2010
Phase Characterization and Classification for Micro-architecture Soft Error.
Proceedings of the IEEE/IFIP 8th International Conference on Embedded and Ubiquitous Computing, 2010

2009
A Fine-Grained Pipelined Implementation for Large-Scale Matrix Inversion on FPGA.
Proceedings of the Advanced Parallel Processing Technologies, 8th International Symposium, 2009

Implementation of Rotation Invariant Multi-View Face Detection on FPGA.
Proceedings of the Advanced Parallel Processing Technologies, 8th International Symposium, 2009

Performance Optimization Strategies of High Performance Computing on GPU.
Proceedings of the Advanced Parallel Processing Technologies, 8th International Symposium, 2009

2005
The Design Space of CMP vs. SMT for High Performance Embedded Processor.
Proceedings of the Embedded Software and Systems, Second International Conference, 2005

Trace-Based Runtime Instruction Rescheduling for Architecture Extension.
Proceedings of the Embedded Software and Systems, Second International Conference, 2005

RIMP: Runtime Implicit Predication.
Proceedings of the Advanced Parallel Processing Technologies, 6th International Workshop, 2005


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