About

Currently, I am a visiting scholar in the CyLab, Carnegie Mellon University, advised by Prof. Marios Savvides.
I am also a fouth-year Ph.D. student in Vision and System Design Lab , Hong Kong University of Science and Technology, supervised by Prof. Kwang-Ting Tim CHENG .
I interned in Face++ in 2019, mentored by Xiangyu Zhang , Jian Sun , and also in Tencent AI lab in 2018, mentored by Wenhan Luo , Baoyuan Wu , Wei Liu.
Before starting my Ph.D. study in HKUST in Sept. 2016, I obtained my bachelor’s degree from Fudan University in June. 2016.


Contact

Email: zliubq[at]connect[dot]ust[dot]hk; zechunl[at]andrew[dot]cmu[dot]edu
[Google Scholar] |  [Github]


Research Interest

My research interests are computer vision, machine learning. Specifically, I am interested in using deep learning to solve the practical problems in the industry such as the limitation of insufficient resources and a trade-off between computation and accuracy. My research focus is mainly on:

  • Neural architecture design and search
  • Network binarization and quantization
  • Network channel pruning
  • Meta learnning
  • Reinforcement learning
  • FPGA implementation of compact network

News

[Sept 2019] I come to Canegie Mellon University as a visiting scholar.


Publications

Zechun Liu, Haoyuan Mu, Xiangyu Zhang, Zichao Guo, Xin Yang, Kwang-Ting Cheng, Jian Sun.
MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning
IEEE International Conference on Computer Vision (ICCV), 2019.
Code & Models  |  Paper

Zechun Liu, Wenhan Luo, Baoyuan Wu, Xin Yang, Wei Liu, Kwang-Ting Cheng.
Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance
International Journal of Computer Vision (IJCV).
Code & Models  |  Paper

Zechun Liu, Baoyuan Wu, Wenhan Luo, Xin Yang, Wei Liu, Kwang-Ting Cheng.
Bi-Real Net: Enhancing the Performance of 1-bit CNNs with Improved Representational Capability and Advanced Training Algorithm
European Conference on Computer Vision (ECCV), 2018.
Code & Models  |  Paper

Zichao Guo, Xiangyu Zhang, Haoyuan Mu, Wen Heng, Zechun Liu, Yichen Wei, Jian Sun.
Single Path One-Shot Neural Architecture Search with Uniform Sampling
Arxiv paper.
Code & Models  |  Paper

Koen Helwegen, James Widdicombe, Lukas Geiger, Zechun Liu, Kwang-Ting Cheng, Roeland Nusselder.
Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization
Advances in Neural Information Processing Systems 32 pre-proceedings (NIPS), 2019.
Code & Models  |  Paper

Awards and Honors

  • Postgraduate Studentship, HKUST 2016-2020
  • Oversea Research Award, HKUST 2019
  • Travel Award NeurIPS 2019, ICCV 2019, ECCV 2018
  • Shanghai Outstanding Graduate, Fudan University 2016
  • Chinese National Scholarship, Fudan University 2012-2013 & 2013-2014

Teaching Assistant

  • 2017.2 - 2016.6, HKUST, ELEC 2300 Computer Organization
  • 2017.9 - 2018.1, HKUST, ELEC 4010K Machine Learning and Information Processing for Robotic Perception
  • 2017.2 - 2016.6, HKUST, ELEC 2300 Computer Organization