I am currently an algorithm engineer. I obtained my M.S. degree in CS from Peking University in 2018, B.Eng. degree in EE from Zhejiang University in 2015. Besides, I also have spent time interning at Microsoft Research Asia for 6 months.
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 interests include Machine Learning (Deep Learning) and its applications in Computer Vision.
Attribute-Aware Attention Model for Fine-grained Representation Learning
Kai Han*, Jianyuan Guo*, Chao Zhang, Mingjian Zhu. ACM Multimedia 2018 (Oral). (* indicates equal contribution)
We propose a novel Attribute-Aware Attention Model (A3M), which can learn local attribute representation and global category representation simultaneously in an end-to-end manner.
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!