My research focuses on Bayesian deep learning, trustworthy vision-language model (VLM), and applications of uncertainty machine learning. It includes the following topics:
(1) probabilistic uncertainty modeling for large-scale VLMs;
(2) fast and reliable approximate inference techniques for Bayesian neural networks;
(3) applications of uncertainty machine learning in drug discovery and medical image analysis scenarios.
In addition, my research also covers transfer/meta-learning, evidential learning, and continual/active learning.
I am currently pursuing my Ph.D at Information Science and Engineering School, Yunnan University under the supervision of Prof. Jin Li. I earned my Bachelor of Engineering in Software Engineering from Software School, Yunnan University in 2022. I participated in the Postgraduate Teaching Program of the Chinese Young Volunteers and served as a mathematics teacher at Lanping No.1 High School in Nujiang, Yunnan, China from 2022 to 2023.
| ✉️ | wenchaoyu@stu.ynu.edu.cn |
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https://github.com/ChaoyuWen |