I am currently serving as an assistant professor at the School of Mathematics and Statistics at Central South University (CSU) in Changsha. Prior to my appointment at CSU, I held a postdoctoral position at The Chinese University of Hong Kong, Shenzhen, between 2020 and 2022. I obtained my PhD degrees from the Chinese Academy of Sciences and Radboud University in The Netherlands, respectively.

Research Interests:

My research focuses on key issues in Bayesian machine learning. This includes deep Gaussian processes and deep kernel methods, Bayesian multitask learning and meta-learning, manifold representation learning for ultra-high dimensional data, Bayesian deep learning and their interdisciplinary in materials, medicine, and mobile communications.  

Researches have been published in esteemed artificial intelligence and machine learning journals and conferences including: Machine Learning (ML), IEEE Transactions on Neural Networks (TNNLS), Pattern Recognition (PR), Signal Processing, European Conference on Machine Learning (ECML), and International Conference on Acoustics, Speech, and Signal Processing (ICASSP).

科研项目:

1. 国家自然科学基金青年项目, 面向多任务学习的耦合高斯过程回归网络算法研究，2021-2022，主持；

2. 湖南省科学基金青年项目, 数据驱动的非稳态高斯过程学习模型及算法研究，2023-2026，主持；
   

3. 中国博士后科学基金面上项目, 面向物联网多传感器时空协同的多输出高斯过程研究，2020-2022，主持；

4. 国家重点研发计划, 基于数据驱动和人工智能的未来新型网络演进，2019-2023，参与；