I am currently an assistant professor at the School of Mathematics and Statistics, Central South University (CSU), Changsha. Before joining CSU, I was a postdoctoral scientist at The Chinese University of Hong Kong, Shenzhen, from 2020--2022. I  received my PhD degree at the Shenzhen Institue of Advanced Technology, Chinese Academy of Science, in 2019. From 2017-2019, I had a chance to visit the Radboud University, Nijmegen, The Netherlands.

研究方向和兴趣:

Gaussian process machine learning, multitask learning, Bayesian kernel method, deep learning, and automated machine learning.

研究方向主要围绕机器学习特别是贝叶斯机器学习中的关键问题，包含：高斯过程及其学习理论，多任务与迁移学习，贝叶斯核方法及其理论，自动机器学习和深度学习及其应用等，在机器学习和人工智能领域高水平期刊和会议，如IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Machine Learning (ML), European Conference on Machine Learning (ECML), The International Conference on Acoustics, Speech, & Signal Processing (ICASSP)等，发表了一系列高水平论文。

科研项目：

1. 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. 2. 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；

3. 3. 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；