Recent News

July. 2019. The V-NAS paper got accepted to the 3DV 2019.
June. 2019. One paper got early accepted to the MICCAI 2019.
April. 2019. I will do an internship with Dr. Le Lu on medical image analysis this summer. Keep moving. ;)

Educations

Sep. 2016 ~ Present                             Ph.D. student in Computer Science
                                                              Johns Hopkins University (JHU), Baltimore, MD, USA
                                                              Adviser: Prof. Alan L. Yuille
                                                              Bloomberg Distinguished Professor 

Sep. 2015 ~ Sep. 2016                         M.S. in Statistics
                                                              University of California, Los Angeles (UCLA), CA, USA
                                                              Adviser: Prof. Alan L. Yuille
                                                              Thesis: ImageNet Classification with Complementary Networks (PDF)
​
Sep. 2011 ~ Jun. 2015                         B.Eng. in Electronics and Information Engineering.
                                                             Huazhong Univ. of Sci. & Tech. (HUST), Wuhan, P.R.China
                                                             Adviser: Prof. Xiang Bai and Prof. Xinggang Wang
                                                             Thesis: 3D Shape Recognition via Deep Learning. (PDF in Chinese)

Internships

Jun. 2019 ~ Nov. 2019                       Very worth working with Dr. Le Lu and Dr. Dakai Jin ​on the challenging lymph
Bethesda, Maryland                           node segmentation and detection yet critical medical problem at PAII.

Jun. 2018 ~ Aug. 2018                       Glad to work with Dr. Daguang Xu and Dr. Dong Yang on the medical image Bethesda, Maryland                           segmentation at NVIDIA.

Jun. 2016 ~ Aug. 2016                       Fortunate to work with Dr. Waoyuan Wang @ MSR on Blur Estimation problem,    Microsoft Research, Redmond          where I met so many nice and professional people, as well as learned a lot about                                                              the Caffe framework.

Research

Preprints:​

Publications:
  1. ​Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan L. Yuille, Daguang Xu. V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation. 3DV 2019, Quebec City. (ArXiv)(Poster)(Spotlight Video)
  2. ​​Zhuotun Zhu*, Yingda Xia*, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille. Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma. MICCAI 2019, Shenzhen. (PDF)(Poster)(Early Acceptance)
  3. ​Zhuotun Zhu, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille. A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation. 3DV 2018, Verona. (PDF)(Slides)(Poster)(Spotlight Video)(Media)
  4. Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman and Alan L. Yuille. Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net. MICCAI 2018, Granada. (PDF)
  5. Zhuotun Zhu, Lingxi Xie, Alan L. Yuille. Object Recognition with and without Objects. IJCAI 2017, Melbourne. (PDF)(Slides)(Poster)(CODE)
  6. Zhuotun Zhu, Xinggang Wang, Song Bai, Cong Yao, and Xiang Bai. Deep learning representation using autoencoder for 3D shape retrieval. Neurocomputing 204 (2016): 41-50. (PDF)
  7. Xinggang Wang*, Zhuotun Zhu*, Cong Yao, Xiang Bai. Relaxed Multiple-Instance SVM with Application to Object Discovery. ICCV 2015. (* equal contribution) (PDF)(CODE)
  8. Xiang Bai, Song Bai, Zhuotun Zhu, Longin Jan Latecki. 3D Shape Matching via Two Layer Coding. TPAMI, 37(12):2361–2373, 2015. (PDF)
  9. Zhuotun Zhu, Xinggang Wang, Song Bai, Cong Yao and Xiang Bai. Deep Learning Representation using Autoencoder for 3D Shape Retrieval. IEEE ICSPAC, 2014, Wuhan. (PDF) (Oral Presentation).

​Teaching

​EN.601.482/682: Machine Learning: Deep Learning                               2018 Fall
​EN.601.382: Deep Learning Lab                                                              2018 Fall

​ACADEMIC ACTIVITIES

Student volunteer for the IJCAI 2017.
Reviewer for the following conferences and journals:
  • CVPR (2020, 2019), ECCV 2020, ICCV 2019, ICML 2020, MICCAI 2019,  AAAI (2020, 2017), WACV 2020
  • TPAMI, PR, PRL, Neurocomputing


Presentation

Aug 20. 2014                            "Deep learning representation using autoencoder for 3D shape retrieval"
                                                  Beijing, Microsoft Research Asia (MSRA)

Selected Awards

Excellent Graduate Award                                         Jun. 2015
Young Microsoft Fellowship(1%)                               Jun.  2014
The MediaTek Scholarship(1%)                                Apr. 2014
Outstanding Undergraduate Award(2%)                   Nov. 2013
National Scholarship(1.5%)                                       Sep. 2013 & Sep. 2012
Last updated on  Nov. 2019