Hang Zhang

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, Cornell University, Ithaca NY 14850.




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

Biography

Hang Zhang is currently a second year Ph.D. student in Department of Electrical & Computer Engineering at Cornell University. 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.

His previous research in the area of Computer-aided Design (CAD) and Electronic Design Automation (EDA) has been recognized with a Best Paper Award (News) from the 26th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM'2018), and a Best Paper Award (News) from the ACM International Symposium on Physical Design 2017 (ISPD'2017).

Currently, he is open-minded and tries to explore various cutting-edge research directions including machine learning/deep learning related areas such as data mining, computer vision, natural language processing, signal processing and robotics; he is also interested in various areas including but not limited to data visualization and human-computer interaction for applications like interactive machine learning education or financial data service. More details could be approached via machine learning playground.


Recent Updates

  • [ 09/2018 ] Our BigRedLidar dataset regarding point cloud segmentation will be released soon via our website.

  • [ 05/2018 ] Our paper Fast and Accurate Estimation of Quality of Results in High-Level Synthesis with Machine Learnin has won Best Paper Award at FCCM2018 (News link: News)

  • [ 08/2017 ] I have successfully passed my oral defense for my M.Phil study.

  • [ 06/2017 ] I will come to E Tiger Capital Management LLC as a research assistant to work on deep learning for applications in finance, especially deep portfolios.

  • [ 04/2017 ] I will come to Cornell University for my Ph.D. study this fall.

  • [ 03/2017 ] Our paper Bilinear Lithography Hotspot Detection has won Best Paper Award at ACM International Symposium on Physical Design 2017 (News link: CUHK research excellence ).

  • Previous updates...

Publications

2019

2018

2017

2016

Selected Honors & Awards

HP Fellowship, 2018.
Best Paper Award at FCCM' 2018.
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 CUHK, 2015-2017.

Excellent Bachelor Thesis Award at SCU (Top 1%), 2015.
Talents Project in Wu Yuzhang Honors College at SCU ( Top 0.1% ), 2013-2015.

Services

Teaching/Grading

TA  2015-2016  fall  CUHK  ENGG 2440A  Discrete Mathematics for Engineers
Instructor: Bogdanov Andrej

Grader  2018-2019  fall  Cornell  ECE 2720  Data Science for Engineers
Instructor: Aaron Wagner

Reviewers/External Reviewers

IEEE Transactions On Computer-Aided Design (TCAD)
Journal of Micro/Nanolithography, MEMS, and MOEMS (JM3)
IEEE/ACM Design Automation Conference (DAC)
IEEE/ACM Asia and South Pacific Design Automation Conference (ASPDAC)
Great Lakes Symposium on VLSI (GLSVLSI)