Department of Electrical & Computer Engineering (ECE)
Membership: ACM, IEEE, AAAI, CCF member
Email: hz459[at]cornell.edu / hzhang[at]cse.cuhk.edu.hk
Office: Suite 104, 515 East 71st St, New York, NY 10021.
"If not now, when ? If not you, who?"
Hang Zhang is currently a third-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 (Cornell ECE News) from the 26th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM'2018), and a Best Paper Award (CUHK CSE News) from the ACM International Symposium on Physical Design 2017 (ISPD'2017).
He is always looking for talented undergraduate and Master students to conduct
research/projects on cutting-edge areas including but not limited to statistical learning / deep learning theories and their applications in medical imaging analysis, text mining, and financial data analysis. Please drop an email if you are interested.
[ 06/2019 ] Our paper RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation has been accepted to MICCAI 2019.
[ 01/2019 ] Our Quantitative Research Club, Cornell Quant, was founded formally under the supervision of Prof. Sumanta Basu. Cornell Quant focus on cutting-edge multidisplines involving quantititave computations. Areas include but not limited to deep/machine learning and its applications in finance, data mining etc. Interested students/professors/sponsors, please do not hesitate to contact.
[C] RSANet: Recurrent Slice-wise Attention Network for Multiple Sclerosis Lesion Segmentation,
Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Mert Sabuncu and Yi Wang
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Shenzhen, China, OCT. 13-17, 2019
[J] Fidelity Imposed Network Edit (FINE) for Solving Ill-Posed Image Reconstruction,
Jinwei Zhang, Zhe Liu, Shun Zhang, Hang Zhang, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang.
[J1] A New
Regularized Matrix Discriminant Analysis (R-MDA) Enabled Human-Centered EEG Monitoring
Jie Su, Linbo Qing, Xiaohai He, Hang Zhang, Jing Zhou, and Yonghong Peng.
IEEE Access, 2018.
[C6] Fast and
Accurate Estimation of Quality of Results in High-Level Synthesis with Machine Learning,
Steve Dai, Yuan Zhou, Hang Zhang, Ecenur Ustun, Evangeline F.Y. Young and Zhiru Zhang,
IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2018.
( Best Paper Award )
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.
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 )
Layout Hotspot Detection Based on Discriminative Feature Extraction,
Hang Zhang, Haoyu Yang, Bei Yu, and Evangeline F. Y. Young.
IEEE Asia Pacific Conference on Circuits and Systems (APCCAS), Jeju, Korea, Oct. 25-28, 2016. (Invited Paper)
Online Learning in Lithography Hotspot Detection with Information-Theoretic Feature
Hang Zhang, Bei Yu, and Evangeline F. Y. Young.
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Austin TX, USA, Nov. 7-10, 2016.
A Routability-Driven Placement for Large-Scale Heterogeneous FPGAs,
Chak-Wa Pui, Gengjie Chen, Wing-Kai Chow, Jian Kuang, Ka-Chun Lam, Peishan Tu, Hang Zhang, Evangeline F.Y. Young, and Bei Yu.
IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Austin TX, USA, Nov. 7-10, 2016. (Invited Paper)
Blaze: Simplified High Performance Cluster Computing,
Junhao Li, Hang Zhang.
Technical report in arXiv:1902.01437.
Excellent Bachelor Thesis Award at SCU (Top 1%), 2015.
Talents Project in Wu Yuzhang Honors College at SCU (Top 0.1%), 2013-2015.
TA 2015-2016 fall CUHK ENGG
2440A Discrete Mathematics for
Instructor: Bogdanov Andrej
Grader 2018-2019 fall Cornell ECE
2720 Data Science for Engineers
Instructor: Aaron Wagner