About
EducationWorkExperienceResumeResearch FieldsLecturesProjectsPublicationsChenxuan He, Yuan Gao, Liping Zhu, Jian Huang. Conditional Density Estimation with Deep Neural Networks. Statistica Sinica, In press, 2026. Xingdong Feng, Yuan Gao, Jian Huang, Yuling Jiao, Xu Liu. Relative Entropy Gradient Sampler for Unnormalized Distribution. Journal of Computational and Graphical Statistics, 34(1), 211-221, 2025. Yuan Gao, Jian Huang, Yuling Jiao. Gaussian Interpolation Flows. Journal of Machine Learning Research, 25(253):1-52, 2024. Yuan Gao, Jian Huang, Yuling Jiao, Jin Liu, Xiliang Lu, Zhijian Yang. Deep Generative Learning via Euler Particle Transport. In Proceedings of the 2nd Mathematical and Scientific Machine Learning Conference, volume 145, pages 336-368, 2022. Yuan Gao, Yuling Jiao, Yang Wang, Yao Wang, Can Yang, Shunkang Zhang. Deep Generative Learning via Variational Gradient Flow. In Proceedings of the 36th International Conference on Machine Learning, pages 2093-2101, 2019. Academic ExchangeAwardsResearch Achievements |
