Wenfeng Feng is Professor of Computer Science; a Vice
Dean of Computer Science and Technology School at the
Henan Polytechnic University. Prior to October 2016, he
held positions including Postdoctoral Research
Fellowship at the University of Oxford between
2015-2016, Postdoctoral Research Fellowship at the
Kyushu Institute of Technology between 2013-2014, and
Postdoctoral Research Fellowship at the Tsinghua
University between 2006-2008. Wenfeng Feng got his Ph.D.
and M.S. in Computer Science at the Beijing Institute of
Technology between 2000-2006.
Wenfeng's current research interests are in the deep
neural network architectures applying into computer
vision and natural language processing. He developed a
lightweight isotropic convolution neural network model,
FoldNet, and applied it to plant disease identification.
He and his group is now working hard on training an
iterative transformer model that perform much better
than traditional transformer models.
Wenfeng got fundings from the Program for New Century
Excellent Talents in University of China (no.
NCET-11-0942) and the Program of National Natural
Science Foundation of China (no. 60703053). Wenfeng also
have a solid background in software development. He has
more than ten years of experience as a software
engineer. He is proficient in Python, Python based deep
learning frameworks such as Pytorch and Jax, Python
based data analysis tools such as NumPy, Pandas,
Matplotlib and Python based Web frameworks such as
Django and Fastapi.