Yizhe Zhu's Homepage

Yizhe(Ethan) Zhu

朱亦哲

I am currently a Research Scientist at ByteDance Inc. in Mountain View, CA. Before that, I was a Ph.D. student in Rutgers University, supervised by Professor Ahmed Elgammal during 2015 - 2020. My research interests include computer vision, machine learning and natural language processing. We are actively looking for full-time research scientists / engineers as well as research interns on computer vision and deep learning. Drop me an email if you are interested!

[CV]

News

[Jan, 2021] One paper is accepted to ICLR 2021.
[Dec, 2020] Two paper are accepted to AAAI 2021.
[Aug, 2020] I joined Bytedance AI Lab.
[Feb, 2020] One paper is accepted to CVPR 2020.
[Dec, 2019] One paper is accepted to ICLR 2020.
[Nov, 2019] One paper is accepted to AAAI 2020.
[Oct, 2019] I have released the source code of ICCV2019 paper ZSL_ABP.
[Sep, 2019] One paper is accepted to NeurIPS2019.
[July, 2019] Two papers are accepted to ICCV2019.
[Jun, 2019] I start an internship in NECLAB, Princeton.
[Oct, 2018] I have added the results of AUC in GZSL setting of our work GAZSL.
[July, 2018] I have added the results on GBU setting of our work GAZSL.
[Jun, 2018] I will attend CVPR2018 in Salt Lake City.
[Jun, 2018] I start to intern in Hikvision Research, CA.
[Mar, 2018] I have released the source code and dataset of CVPR18 paper GAZSL.
[Mar, 2018] My son Michael was born. It's the BEST gift to me.
[Feb, 2017] One paper is accepted to CVPR2018.

Selected Publications

(* indicates equal contributions)

[CVPR'20] S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation
Yizhe Zhu, Martin Renqiang Min, Asim Kadav, Hans Peter Graf
IEEE Conference on Computer Vision and Pattern Recognition, Seattle, June 2020
paper | abstract | bibtex | slides | code

[NeurIPS'19] Semantic-Guided Multi-Attention Localization for Zero-Shot Learning
Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng , Ahmed Elgammal
Thirty-third Conference on Neural Information Processing Systems, Vancouver, Canada, Dec. 2019
paper | abstract | bibtex | poster | code

[ICCV'19] Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning
Yizhe Zhu, Jianwen Xie , Bingchen Liu, Ahmed Elgammal
International Conference on Computer Vision, Seoul, Oct. 2019
paper | abstract | bibtex | poster | code

[CVPR'18] A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts
Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng , Ahmed Elgammal
IEEE Conference on Computer Vision and Pattern Recognition, Salt Lake City, June 2018
paper | abstract | bibtex | poster | code

[CVPR'17] Link the head to the “beak”: Zero Shot Learning from Noisy Text Description at Part Precision
Mohamed Elhoseiny*, Yizhe Zhu*, Han Zhang, Ahmed Elgammal
IEEE Conference on Computer Vision and Pattern Recognition, Hawaii, July 2017
paper | supp | abstract | bibtex | code