Sex:Male
Alma Mater:中国科学院大学 & 荷兰Radboud University
Education Level:With Certificate of Graduation for Doctorate Study
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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 degrees at Chinese Academy of Science and Radboud University, The Netherlands, respectively.
研究方向和兴趣:
Gaussian process and kernel method, Bayesian multitask learning and meta-learning, automated machine learning and model compression, Multiple objective Bayesian optimization for blackbox models.
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:高斯过程及核方法理论,贝叶斯多任务学习与元学习,自动机器学习和模型压缩,黑箱模型的多目标贝叶斯优化等,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), Signal Processing, 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:
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;
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;
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;
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;
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