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I am currently a Senior Research Scientist at ByteDance Inc. in Seattle, WA. 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 multimodal generation. Drop me an email (yizhe.zhu at bytendace dot com) if you are interested!
[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 We propose a sequential variational autoencoder to learn disentangled representations of sequential data (e.g., videos and audios) under self-supervision. Specifically, we exploit the benefits of some readily accessible supe
[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 Zero-shot learning extends the conventional object classification to the unseen class recognition by introducing semantic representations of classes. Existing approaches predominantly focus on learning the proper mapping funct