- High-dimensional Approximations in Learning Theory, PI
General Program of National Natural Science Foundation of China, 2022.01-2025.12.
- Mathematical Theory of Deep Neural Networks with Applications, PI
Shanghai Key Basic Research Project, 2021.10-2024.09.
- Approximation Analysis of Deep Learning and Related Topics, Co-I
National Natural Science Foundation of China / Research Grants Council of Hong Kong Joint Research Scheme, 2021.01-2024.12.
PIs: Prof. Zongmin Wu and Prof. Ding-Xuan Zhou
- Approximation Analysis of Stochastic Gradient Descent Algorithms, PI
Shanghai Science and Technology Innovation Action Plan, 2020.10-2023.09.
- Sparse Representation and Complex Relation Inference for High-dimensional and Heterogeneous Data, Co-I
Key Program of National Natural Science Foundation of China, 2017.01-2021.12.
PI: Prof. Daoqing Dai
- Harmonic Analysis and Related Topics, Co-I
Shanghai Outstanding Academic Leadership Development Program, 2018.05-2021.04.
PI: Prof. Hongquan Li
- Learning Theory of Distributed Algorithms, Functional Data Analysis and 1-bit Compressed Sensing with Applications, PI
General Program of National Natural Science Foundation of China, 2016.01-2019.12.
- Approximation Analysis of Information Theoretic Learning and Ranking Type Learning Problems, Co-I
National Natural Science Foundation of China / Research Grants Council of Hong Kong Joint Research Scheme, 2015.01-2018.12.
PIs: Prof. Zongmin Wu and Prof. Ding-Xuan Zhou
- Approximation and Sparsity Analysis of Kernel-based Regularization Learning Schemes, PI
Youth Program of National Natural Science Foundation of China, 2012.01-2015.12.