Yunzhe Xue

According to our database, Yunzhe Xue authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Accuracy of TextFooler black box adversarial attacks on 01 loss sign activation neural network ensemble.

Yunzhe Xue, Usman Roshan

CoRR, 2024

2023

Accuracy of white box and black box adversarial attacks on a sign activation 01 loss neural network ensemble.

Yunzhe Xue, Usman Roshan

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

A Cascaded Neural Network System For Rating Student Performance In Surgical Knot Tying Simulation.

Yunzhe Xue, Olanrewaju Eletta, Justin W. Ady, Nell M. Patel, Advaith Bongu, Usman Roshan

Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

An AI system for evaluating pass fail in fundamentals of laparoscopic surgery from live video in realtime with performative feedback.

Yunzhe Xue, Andrew Hu, Rohit Muralidhar, Justin W. Ady, Advaith Bongu, Usman Roshan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2020

Defending against substitute model black box adversarial attacks with the 01 loss.

Yunzhe Xue, Meiyan Xie, Usman Roshan

CoRR, 2020

Robust binary classification with the 01 loss.

Yunzhe Xue, Meiyan Xie, Usman Roshan

CoRR, 2020

On the transferability of adversarial examples between convex and 01 loss models.

Yunzhe Xue, Meiyan Xie, Usman Roshan

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Towards adversarial robustness with 01 loss neural networks.

Yunzhe Xue, Meiyan Xie, Usman Roshan

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Two-stage and dual-decoder convolutional U-Net ensembles for reliable vessel and plaque segmentation in carotid ultrasound images.

Meiyan Xie, Yunzhu Li, Yunzhe Xue, Lauren Huntress, William Beckerman, Saum A. Rahimi, Justin W. Ady, Usman W. Roshan

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Classification of Histopathology Images with Random Depthwise Convolutional Neural Networks.

Yanan Yang, Fadi G. Farhat, Yunzhe Xue, Frank Y. Shih, Usman Roshan

Proceedings of the ICBRA 2020: 7th International Conference on Bioinformatics Research and Applications, 2020

Accurate and adversarially robust classification of medical images and ECG time-series with gradient-free trained sign activation neural networks.

Zhibo Yang, Yanan Yang, Yunzhe Xue, Frank Y. Shih, Justin W. Ady, Usman Roshan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Vessel lumen segmentation in carotid artery ultrasounds with the U-Net convolutional neural network.

Meiyan Xie, Yunzhi Li, Yunzhe Xue, Lauren Huntress, William Beckerman, Saum A. Rahimi, Justin W. Ady, Usman Roshan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

Challenges in predicting glioma survival time in multi-modal deep networks.

Abdulrhman Aljouie, Yunzhe Xue, Meiyan Xie, Usman Roshan

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

2019

A fully 3D multi-path convolutional neural network with feature fusion and feature weighting for automatic lesion identification in brain MRI images.

Yunzhe Xue, Meiyan Xie, Fadi G. Farhat, Olga Boukrina, A. M. Barrett, Jeffrey R. Binder, Usman W. Roshan, William W. Graves

CoRR, 2019

A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images.

Yunzhe Xue, Fadi G. Farhat, Olga Boukrina, A. M. Barrett, Jeffrey R. Binder, Usman W. Roshan, William W. Graves

CoRR, 2019

Image Classification and Retrieval with Random Depthwise Signed Convolutional Neural Networks.

Yunzhe Xue, Usman Roshan

Proceedings of the Advances in Computational Intelligence, 2019

Stochastic Coordinate Descent for 01 Loss and Its Sensitivity to Adversarial Attacks.

Meiyan Xie, Yunzhe Xue, Usman Roshan

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Brain Tumor Classification with Tumor Segmentations and a Dual Path Residual Convolutional Neural Network from MRI and Pathology Images.

Yunzhe Xue, Yanan Yang, Fadi G. Farhat, Frank Y. Shih, Olga Boukrina, A. M. Barrett, Jeffrey R. Binder, William W. Graves, Usman W. Roshan

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

A Multi-path Decoder Network for Brain Tumor Segmentation.

Yunzhe Xue, Meiyan Xie, Fadi G. Farhat, Olga Boukrina, A. M. Barrett, Jeffrey R. Binder, Usman W. Roshan, William W. Graves

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

Vessel lumen segmentation in internal carotid artery ultrasounds with deep convolutional neural networks.

Meiyan Xie, Yunzhu Li, Yunzhe Xue, Randy Shafritz, Saum A. Rahimi, Justin W. Ady, Usman W. Roshan

Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018

Random depthwise signed convolutional neural networks.

Yunzhe Xue, Usman Roshan

CoRR, 2018