个人资料
教育经历香港理工大学，数据科学与人工智能，博士 西安交通大学，统计学，硕士 西安交通大学，数学与应用数学（试验班），学士 工作经历2025年11月至今，南开大学，统计与数据科学学院，特聘副研究员 个人简介研究领域生成模型、深度学习 教学工作本科生：高等代数与解析几何习题课 科研项目论文著作Chenxuan He, Yuan Gao, Liping Zhu, and Jian Huang. Conditional Density Estimation with Deep Neural Networks. Statistica Sinica, in press, 2026. Xingdong Feng, Yuan Gao, Jian Huang, Yuling Jiao, and Xu Liu. Relative Entropy Gradient Sampler for Unnormalized Distribution. Journal of Computational and Graphical Statistics, 34(1), 211-221, 2025. Yuan Gao, Jian Huang, and 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, and 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, and Shunkang Zhang. Deep Generative Learning via Variational Gradient Flow. In Proceedings of the 36th International Conference on Machine Learning, pages 2093-2101, 2019. 学术交流荣誉奖励学术成果 |