Recent News

Mar. 2018.  I will do an internship with Dr. Le Lu on medical image analysis at NVIDIA this summer.

Educations

Sep. 2016 ~ Present                             Ph.D. 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)
                                                              (* Enrolled as a Ph.D. in UCLA,  requested a M.S. degree since my advisor transferred to JHU)
​
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.

Internship

Jun. 2016 ~ Aug. 2016                       Fortunate to work with Baoyuan 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:​
  1. ​Zhuotun Zhu, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille. A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation. (PDF)
Publications:
  1. Zhuotun Zhu, Lingxi Xie, Alan L. Yuille. Object Recognition with and without Objects. IJCAI 2017, Melbourne. (PDF)(Slides)(Poster)
  2. 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)
  3. Xinggang Wang*, Zhuotun Zhu*, Cong Yao, Xiang Bai. Relaxed Multiple-Instance SVM with Application to Object Discovery. ICCV 2015. (* equal contribution) (PDF)(CODE)
  4. Xiang Bai, Song Bai, Zhuotun Zhu, Longin Jan Latecki. 3D Shape Matching via Two Layer Coding. TPAMI, 37(12):2361–2373, 2015. (PDF)
  5. 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).

​ACADEMIC ACTIVITIES

Student volunteer for the IJCAI 2017.
Reviewer for the following conferences and journals:
  • AAAI 2017, NIPS 2015, CVPR 2015, CCPR 2014, ICSPAC 2014
  • PRL, Neurocomputing, Infrared Physics & Technology, JMLC


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  Dec. 2017