I am a third-year Ph.D. student of TSAIL Group in Department of Computer Science and Technology at Tsinghua University. I am jointly supervised by Prof. Bo Zhang and Prof. Jun Zhu.

My research interests include statistical machine learning, especially deep generative models, semi-supervised learning and Bayesian deep learning.

Before that, I received my B.E. Degree from Department of Electronical Engineering of Tsinghua University in 2015. I also received the double Bachelor's Degree in Economics from National School of Development of Peking University.

Publications and Preprints

Semi-crowdsourced Clustering with Deep Generative Models
Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu, Bo Zhang
ICML 2018 workshop on Theoretical Foundations and Applications of Deep Generative Models.
Smooth Neighbors on Teacher Graphs for Semi-supervised Learning
Yucen Luo, Jun Zhu, Mengxi Li, Yong Ren, Bo Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (Spotlight).
A short version in Advances in Neural Information Processing Systems (NIPS) Workshop on Learning with Limited Labeled Data, 2017 (Best paper award).
ZhuSuan: A Library for Bayesian Deep Learning
Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou
arXiv 1709.05870, 2017.
Conditional Generative Moment-Matching Networks
Yong Ren, Jialian Li, Yucen Luo, Jun Zhu
Advances in Neural Information Processing Systems (NIPS), 2016

Honors and Awards



Last updated on May 17th, 2017.