Qihang Yu

I am a 2nd-year PhD student in Computer Science at Johns Hopkins Universit, advised by Bloomberg Distinguished Professor Dr. Alan Yuille. I am a member of Computational Cognition, Vision, and Learning.

Before that, I obtained B.S. in Computer Science at Peking University in 2018.

Email  /  Google Scholar

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News
  • I join Adobe as a research intern in May 2020.
  • 2 papers accepted to CVPR 2020.
  • 1 paper accepted to AAAI 2020.
  • I join NVIDIA as a research intern in May 2019.
Research

My research lies in computer vision, deep learning, and medical image analysis.

C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation
Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan Yuille, Daguang Xu
CVPR, 2020

Neural Architecture Search for Lightweight Non-Local Networks
Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan Yuille
CVPR, 2020

CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network
Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan Yuille
Tech report, arxiv

Detecting Pancreatic Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble
Yingda Xia, Qihang Yu, Wei Shen, Yuyin Zhou, Elliot K Fishman, Alan Yuille
Tech report, arxiv

When Radiology Report Generation Meets Knowledge Graph
Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan Yuille, Daguang Xu
AAAI, 2020

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans
Lingxi Xie, Qihang Yu, Yuyin Zhou, Yan Wang, Elliot K Fishman, Alan Yuille
IEEE Transactions on Medical Imaging (TMI), 2019

Thickened 2D Networks for Efficient 3D Medical Image Segmentation
Qihang Yu, Yingda Xia, Lingxi Xie, Elliot K Fishman, Alan Yuille
Tech report, arxiv

Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation
Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou, Elliot K Fishman, Alan Yuille
CVPR, 2018


Stolen from Jon Barron