Yuyin Zhou

PhD Student in Computer Science

Johns Hopkins University

Biography

I am a 4-th year Ph.D. student in Computer Science Department at the Johns Hopkins University, under the supervision of Prof. Alan Yuille. Currently, I am a member of Computational Cognition, Vision, and Learning. Before that, I received my M.S. degree from UCLA, and B.S. degree from Huazhong University of Science and Technology.

Interests

Medical Image Analysis
Computer Vision
Machine Learning

Education

PhD Student in Computer Science, expected 2020

Johns Hopkins University
MS in Electrical Engineering, 2016

University of California, Los Angeles
BS in Electrical Engineering, 2014

Huazhong University of Science and Technology

Publications

Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures

Journal of Trauma and Acute Care Surgery 2020

David Dreizin, Yuyin Zhou, Tina Chen, Guang Li, Alan Yuille, Ashley McLenithan, Jonathan Morrison

PDF

Neural Architecture Search for Lightweight Non-Local Networks in Mobile Vision

Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan Yuille

Deep Distance Transform for Tubular Structure Segmentation in CT Scans

Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot Fishman, Alan Yuille

PDF

UPC: Learning Universal Physical Camouflage Attacks on Object Detectors

Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Lifeng Huang, Chengying Gao, Yuyin Zhou, Cihang Xie, Alan Yuille, Changqing Zou, Ning Liu

PDF

Learning Transferable Adversarial Examples via Ghost Networks

AAAI Conference on Artificial Intelligence (AAAI) 2020

Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan Yuille

PDF

Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation

International Conference on Computer Vision (ICCV) 2019

Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen, Mei Han, Elliot Fishman, Alan Yuille

PDF

Semi-Supervised 3D Multi-Organ Segmentation via Deep Multi-Planar Co-Training

Winter Conference on Applications of Computer Vision (WACV) 2019

Yuyin Zhou, Yan Wang, Peng Tang, Song Bai, Wei Shen, Elliot Fishman, Alan Yuille

PDF

Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019

Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot Fishman, Alan Yuille, Seyoun Park

PDF

Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures

International Workshop on Machine Learning in Medical Imaging (MLMI) 2019

Yuyin Zhou, David Dreizin, Yingwei Li, Zhishuai Zhang, Yan Wang, Alan Yuille

PDF

Lesion Detection by Efficiently Bridging 3D Context

International Workshop on Machine Learning in Medical Imaging (MLMI) 2019

Zhishuai Zhang, Yuyin Zhou, Wei Shen, Elliot Fishman, Alan Yuille

PDF

FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans

International Workshop on Machine Learning in Medical Imaging (MLMI) 2019

Fengze Liu, Yuyin Zhou, Elliot Fishman, Alan Yuille

PDF

Abdominal multi-organ segmentation with organ-attention networks and statistical fusion

Medical Image Analysis (MedIA) 2019

Yan Wang, Yuyin Zhou, Wei Shen, Seyoun Park, Elliot K. Fishman, Alan Yuille

PDF

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans

IEEE Transactions on Medical Imaging (TMI) 2019

Lingxi Xie, Qihang Yu, Yuyin Zhou, Yan Wang, Elliot K Fishman, Alan Yuille

PDF

Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT

Journal of Digital Imaging 2019

David Dreizin, Yuyin Zhou, Yixiao Zhang, Nikki Tirada, Alan Yuille

PDF

Improving Transferability of Adversarial Examples with Input Diversity

Conference on Computer Vision and Pattern Recognition (CVPR) 2019

Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang, Zhou Ren, Alan Yuille

PDF

Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018

Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot Fishman, Alan Yuille

PDF

Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation

Conference on Computer Vision and Pattern Recognition (CVPR) 2018

Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou, Elliot Fishman, Alan Yuille

PDF

A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2017

Yuyin Zhou, Lingxi Xie, Wei Shen, Yan Wang, Elliot Fishman, Alan Yuille

PDF

Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans

International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2017

Yuyin Zhou, Lingxi Xie, Elliot Fishman, Alan Yuille

PDF

Adversarial Examples for Semantic Segmentation and Object Detection

International Conference on Computer Vision (ICCV) 2017

Cihang Xie, Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, Alan Yuille

PDF

Yuyin Zhou

PhD Student in Computer Science

Johns Hopkins University

Biography

Interests

Education

Experience

Research Intern

Google Brain

Research Intern

Google AI

Publications

Deep learning-based quantitative visualization and measurement of extraperitoneal hematoma volumes in patients with pelvic fractures

Neural Architecture Search for Lightweight Non-Local Networks in Mobile Vision

Deep Distance Transform for Tubular Structure Segmentation in CT Scans

UPC: Learning Universal Physical Camouflage Attacks on Object Detectors

Learning Transferable Adversarial Examples via Ghost Networks

Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation

Semi-Supervised 3D Multi-Organ Segmentation via Deep Multi-Planar Co-Training

Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation

Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures

Lesion Detection by Efficiently Bridging 3D Context

FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans

Abdominal multi-organ segmentation with organ-attention networks and statistical fusion

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans

Performance of a Deep Learning Algorithm for Automated Segmentation and Quantification of Traumatic Pelvic Hematomas on CT

Improving Transferability of Adversarial Examples with Input Diversity

Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound

Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation

A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans

Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans

Adversarial Examples for Semantic Segmentation and Object Detection

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