Miruku H. Zhang

Ph.D. Student of ECE at Cornell

Hang Zhang 张航

The shot was taken at Griffith Observatory, LA

Ph.D. student

Department of Electrical & Computer Engineering (ECE)
Cornell University
Membership: ACM, IEEE, AAAI, CCF member

Email: hz459[at]cornell.edu / hzhang[at]cse.cuhk.edu.hk
Office: Rm 208, Philips Hall, Ithaca

"If not now, when ? If not you, who?"

Hang Zhang is currently a first year Ph.D. student in Department of Electrical & Computer Engineering at Cornell University, under the supervision of Prof. Mark Campbell. He earned his Master of Philosophy (M.PHIL) degree from the Department of Computer Science & Engineering, The Chinese University of Hong Kong, under the supervision of Prof. Evangeline F. Y. Young. Before that, he received his B. Eng degree from Sichuan University (SCU) in 2015, where he worked with Prof. Xiaohai He.

He is interested in developing algorithms and theories in deep learning/Bayesian learning, estimation and control with their applications in robotics and autonomous systems such as autonomous driving cars.

Attention please!
Wanna get credit for your study while doing cutting-edge research at Cornell? Hit me with your CV/Resume, I have research candies on deep learning, autonomous driving and robotics. MS/UG students from Cornell are welcome for both spring and summer terms, and students from other schools are welecome for summer slots.

Recent Updates




  • Extreme Bilinear Learning Machine for Lithography Hotspot Detection,
    Hang Zhang, Fengyuan Zhu, Bentian Jiang, Haocheng Li, Evangeline F.Y. Young, and Bei Yu,
    ACM Transactions on Design Automation of Electronic Systems (TODAES), 2017. (Submitted)

  • Minimizing Thermal Gradient and Pumping Power in 3D IC Liquid Cooling Network Design,
    Gengjie Chen, Jian Kuang, Zhiliang Zeng, Hang Zhang, Evangeline F.Y. Young, and Bei Yu,
    ACM/IEEE Design Automation Conference (DAC), Austin, TX, June 3–7, 2017.

  • Bilinear Lithography Hotspot Detection,
    Hang Zhang, Fengyuan Zhu, Haocheng Li, Evangeline F. Y. Young, and Bei Yu,
    ACM International Symposium on Physical Design (ISPD), Portland OR, USA, Mar. 19-22, 2017. (Best Paper Award)


Selected Honors & Awards

  • Cornell Graduate School Fellowship at Cornell University, 2017.
  • Best Paper Award at ISPD 2017.
  • Second Place Award in CAD contest at ISPD, held by Xilinx, 2016.
  • The Championship Award of CAD Contest at ICCAD, held by Stanford & IBM, 2015.
  • Full Postgraduate Studentship at The Chinese University of Hong Kong, 2015-2017.
  • Excellent Bachelor Thesis Award at Sichuan University (Top 1%), 2015.
  • Talents Project in Wu Yuzhang Honors College at Sichuan University ( Top 0.1%), 2013-2015.
  • Professional Services

  • Teaching ENGG2440A: Discrete Mathematics for Engineers, Instructor: Bogdanov Andrej, 2015-2016 fall.
  • Reviewers IEEE Transactions On Computer-Aided Design (TCAD).
  • Reviewers Journal of Micro/Nanolithography, MEMS, and MOEMS (JM3).
  • Reviewers IEEE/ACM Design Automation Conference (DAC).
  • Reviewers IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC).
  • Reviewers Great Lakes Symposium on VLSI (GLSVLSI).
  • Machine Learning Playground

    Interactive Machine Learning Platform (More games)

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