Yuyin Zhou

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

Experience

 
 
 
 
 

Research Intern

Google Brain

Jun 2019 – Sep 2019 Palo Alto
 
 
 
 
 

Research Intern

Google AI

Jun 2017 – Sep 2017 Mountain View

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

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

Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Deep Distance Transform for Tubular Structure Segmentation in CT Scans

Conference on Computer Vision and Pattern Recognition (CVPR) 2020

UPC: Learning Universal Physical Camouflage Attacks on Object Detectors

Conference on Computer Vision and Pattern Recognition (CVPR) 2020

Learning Transferable Adversarial Examples via Ghost Networks

AAAI Conference on Artificial Intelligence (AAAI) 2020

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

International Conference on Computer Vision (ICCV) 2019

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

Winter Conference on Applications of Computer Vision (WACV) 2019

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

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

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

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

Lesion Detection by Efficiently Bridging 3D Context

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

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

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

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

Medical Image Analysis (MedIA) 2019

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

IEEE Transactions on Medical Imaging (TMI) 2019

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

Journal of Digital Imaging 2019

Improving Transferability of Adversarial Examples with Input Diversity

Conference on Computer Vision and Pattern Recognition (CVPR) 2019

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

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

Conference on Computer Vision and Pattern Recognition (CVPR) 2018

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

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

Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans

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

Adversarial Examples for Semantic Segmentation and Object Detection

International Conference on Computer Vision (ICCV) 2017

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