Meiyan Xie

According to our database, Meiyan Xie authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

MixRec: Heterogeneous Graph Collaborative Filtering.

Lianghao Xia, Meiyan Xie, Yong Xu, Chao Huang

CoRR, 2024

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

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

Exploring Classification, Clustering, and Its Limits in a Compressed Hidden Space of a Single Layer Neural Network with Random Weights.

Meiyan Xie, 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

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