Concepedia

Shengjia Zhao

SZ

Statistics

Publications

22

Citations

1.4K

H-Index

17

Active since

2015

Affiliations

Stanford University(Current)

Stanford Medicine

Huazhong Agricultural University

Tsinghua University

Google (United States)

Shengjia Zhao is an author at Stanford University specializing in computer science, engineering, and machine learning.

Top concepts

EngineeringComputer ScienceMachine LearningData ScienceDeep LearningStatistical InferenceStatisticsGenerative ModelsArtificial IntelligenceRobot Learning

Publications per year

2015–2020

22

Publications

22

InfoVAE: Information Maximizing Variational Autoencoders

Shengjia Zhao, Jiaming Song, Stefano Ermon · arXiv (Cornell University) · 2017 · 371 citations · Full text

Structured Prediction, Engineering, Machine Learning +11

InfoVAE: Balancing Learning and Inference in Variational Autoencoders

Shengjia Zhao, Jiaming Song, Stefano Ermon · Proceedings of the AAAI Conference on Artificial Intelligence · 2019 · 269 citations · Full text

Structured Prediction, Balancing Learning, Machine Learning +13

Towards Deeper Understanding of Variational Autoencoding Models

Shengjia Zhao, Jiaming Song, Stefano Ermon · arXiv (Cornell University) · 2017 · 129 citations · Full text

Engineering, Machine Learning, Autoencoders +16

Learning Hierarchical Features from Deep Generative Models

Shengjia Zhao, Jiaming Song, Stefano Ermon · International Conference on Machine Learning · 2017 · 95 citations

Engineering, Machine Learning, Generative Models +6

Learning Controllable Fair Representations

Jiaming Song, Pratyusha Kalluri, Aditya Grover et al. · arXiv (Cornell University) · 2018 · 65 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +17

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