Han Zhang
Department of Computer Science, Rutgers University,
110 Frelinghuysen Road, Piscataway, NJ 08854-8019
Email: han dot zhang at rutgers dot edu
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Han Zhang is a PhD student in Computer Science at Rutgers, the State University of New Jersey. He is  working with Prof. Dimitris N. Metaxas in Computational Biomedicine Imaging and Modeling Center (CBIM).

His research interests are deep learning, computer vision, machine learning and medical image analysis.


(Curriculum Vitae).


News
  • Our StackGAN paper is accepted to ICCV2017.
  • October 2017,  I have been invited to present our StackGAN work on ICCV Tutorials on GANs.
  • Summer 2017,  I will join OpenAI as a research intern on generative models. 

Education
  • 2012 ~ Present,    PhD in Computer Science, Rutgers University, NJ, USA
  • 2009 ~ 2012,        M.E. in Communication and Information Systems, BUPT, China
  • 2006 ~ 2009,        B.S. in Information Science, China Agricultural University, China

  • Working Experience
  • 05/2016 ~ 08/2016,   Core Data Science Intern, Facebook, CA, USA.
  • 05/2015 ~ 08/2015,   Software Engineering Intern, Philips Research North America, NY, USA.
  • 09/2011 ~ 02/2012,   Research Intern at Lab of Media Search, NUS, Singapore.
  •                                      Supervisor: Prof. Tat-seng Chua
  • 08/2010 ~ 09/2010,   Software Engineering Intern, Samsung, Beijing, China.
  • Selected Publications
    (* indicates equal contributions)

    [ICCV'17] StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks
    Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaolei Huang, Xiaogang Wang, and Dimitris Metaxas.
    ICCV, 2017. [pdf] [code]

    [CVPR'17] Link the head to the "peak'': Zero Shot Learning from Noisy Text descriptions at Part Precision
    Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, Ahmed Elgammal
    CVPR 2017. [pdf]
     

    [CVPR'16] SPDA-CNN: Unifying Semantic Part Detection and Abstraction forFine-grained Recognition
    Han Zhang*, Tao Xu*, Mohamed Elhoseiny, Xiaolei Huang, Shaoting Zhang, AhmedElgammal, and Dimitris Metaxas
    CVPR 2016. [pdf]

    [MICCAI'16] Multimodal Deep Learning for Cervical Dysplasia Diagnosis
    Tao Xu*, Han Zhang*, Xiaolei Huang, Shaoting Zhang, and Dimitris Metaxas.
    MICCAI 2016 (Early acceptance rate, 10%). [pdf]

    [PR'16] Multi-feature based Benchmark for Cervical Dysplasia Classification Evaluation
    Tao Xu, Han Zhang, Cheng Xin, Edward Kim, L Rodney Long, Zhiyun Xue, Sameer Antani, and Xiaolei Huang.
    Pattern Recognition 2016. [pdf]

    [ISBI'14] Robust shape prior modeling based on Gaussian-Bernoulli RestrictedBoltzmann Machine
    Han Zhang, Shaoting Zhang, Kang Li and Dimitris Metaxas.
    IEEE International Symposium on Biomedical Imaging, 2014. [pdf ]
    Oral presentation 

    TA Work
    [Fall 17]                   CS580: Topics in Computers in Biomedicine
    [Spring16]               CS536: Machine Learning
    [
    Spring16]               CS520: Introduction to Artificial Intelligence
    [Spring15]               CS213: Software Methodology
    [Spring13,14]          CS111: Introduction to Computer Science
    [Fall12,13,14,15]    CS334: Introduction to Imaging and Multimedia