Shengjia Zhao
University of Oxford(GB)
Publications by Year
Research Areas
Generative Adversarial Networks and Image Synthesis, Adversarial Robustness in Machine Learning, Anomaly Detection Techniques and Applications, Explainable Artificial Intelligence (XAI), COVID-19 epidemiological studies
Most-Cited Works
- → InfoVAE: Information Maximizing Variational Autoencoders(2017)371 cited
- → An “essential herbal medicine”—licorice: A review of phytochemicals and its effects in combination preparations(2019)283 cited
- → InfoVAE: Balancing Learning and Inference in Variational Autoencoders(2019)271 cited
- → Towards Deeper Understanding of Variational Autoencoding Models(2017)129 cited
- Learning Hierarchical Features from Deep Generative Models(2017)
- → Learning Controllable Fair Representations(2018)65 cited
- A-NICE-MC: Adversarial Training for MCMC(2017)
- → Learning Neural PDE Solvers with Convergence Guarantees(2019)56 cited
- → Bias and Generalization in Deep Generative Models: An Empirical Study(2018)53 cited
- → Amortized Inference Regularization(2018)48 cited