Sotabase

Career

· Chief Scientist, Meta Superintelligence Labs2025–
· Researcher / Member of Technical Staff, OpenAI2017–2025
· PhD Student, Stanford University2016–2022
· Exchange Student, Rice University2014–
· Undergraduate Student, Tsinghua University2012–2016
· OpenAI

Publications (104)

GPT-4 Technical Report
2023
21,596
cited
GPT-4o System Card
arXiv.org · 2024
2,980
cited
InfoVAE: Information Maximizing Variational Autoencoders
arXiv.org · 2017
476
cited
gpt-oss-120b&gpt-oss-20b Model Card
2025
357
cited
Permutation Invariant Graph Generation via Score-Based Generative Modeling
International Conference on Artificial Intelligence and Statistics · 2020
335
cited
InfoVAE: Balancing Learning and Inference in Variational Autoencoders
AAAI Conference on Artificial Intelligence · 2019
325
cited
An "essential herbal medicine"-licorice: A review of phytochemicals and its effects in combination preparations.
Journal of Ethnopharmacology · 2019
241
cited
A Theory of Usable Information Under Computational Constraints
International Conference on Learning Representations · 2020
200
cited
Learning Controllable Fair Representations
International Conference on Artificial Intelligence and Statistics · 2018
184
cited
Towards Deeper Understanding of Variational Autoencoding Models
arXiv.org · 2017
162
cited
Learning Neural PDE Solvers with Convergence Guarantees
International Conference on Learning Representations · 2019
154
cited
Bias and Generalization in Deep Generative Models: An Empirical Study
Neural Information Processing Systems · 2018
148
cited
A-NICE-MC: Adversarial Training for MCMC
Neural Information Processing Systems · 2017
111
cited
Learning Hierarchical Features from Deep Generative Models
International Conference on Machine Learning · 2017
109
cited
Amortized Inference Regularization
Neural Information Processing Systems · 2018
87
cited
Domain Adaptive Imitation Learning
International Conference on Machine Learning · 2019
86
cited
Learning Hierarchical Features from Generative Models
arXiv.org · 2017
75
cited
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
Neural Information Processing Systems · 2021
74
cited
Individual Calibration with Randomized Forecasting
International Conference on Machine Learning · 2020
68
cited
Sample-efficient safety assurances using conformal prediction
Workshop on the Algorithmic Foundations of Robotics · 2021
65
cited
Sotabase
Shengjia Zhao | Researcher Profile | Sotabase | Sotabase