I am currently a master student in Computer Science at Key Lab of Machine Perception, School of EECS, Peking University. Previously, I obtained my bachelor degree majoring in EE from Zhejiang University. Besides, I also have spent time interning at Microsoft Research Asia.
I do have a GitHub.
What I am most fond of are beautiful and simple theoretical ideas that can be translated into something that works. ---- Y. LeCun
My current research topics include Machine Learning (Deep Learning) and its applications in Computer Vision.
AutoEncoder Inspired Unsupervised Feature Selection
Kai Han, Yunhe Wang, Chao Zhang, Chao Li, Chao Xu. ICASSP 2018. [ArXiv Link]
We propose a novel AutoEncoder Feature Selector (AEFS) for unsupervised feature selection which combines autoencoder regression and group lasso tasks.
Vehicle images retrieval using multi-CNNs ensemble method. In the vehicle retrieval task of The 3rd China Graduate Contest on Smart-city Technology and Creative Design, we ranked 1st and won the special prize in the final!