* Authors listed in alphabetical order. † Corresponding author.
Learning Sparse Compositional Functions with Norm-Constrained Neural Networks
Shuo Huang, Lorenzo Fiorito, Lorenzo Rosasco, Tomaso Poggio.
NeurIPS 2026 (accepted).
Sparse-Aware Neural Networks for Nonlinear Functionals: Mitigating the Exponential Dependence on Dimension
Jianfei Li, Shuo Huang†, Han Feng, Ding-Xuan Zhou, Gitta Kutyniok.
Preprint, arXiv:2604.06774.
Spherical Analysis of Learning Nonlinear Functionals
Zhenyu Yang, Shuo Huang†, Han Feng, Ding-Xuan Zhou.
Constructive Approximation, 64:233–261.
Fine-Grained Analysis of Nonparametric Estimation for Pairwise Learning
Junyu Zhou, Shuo Huang, Han Feng, Puyu Wang, Ding-Xuan Zhou.
IEEE Transactions on Neural Networks and Learning Systems, 37(9):4219–4230.
Functional characterization of shallow neural networks via RKBS
L. Fiorito, E. Naldi, S. Huang, E. De Vito, L. Rosasco.
Preprint.
Learning Multi-Index Models with Hyper-Kernel Ridge Regression
Shuo Huang, Hippolyte Labarrière, Ernesto De Vito, Tomaso Poggio, Lorenzo Rosasco.
Preprint, arXiv:2510.02532.
Towards a Learning Theory of Representation Alignment
Francesco Insulla, Shuo Huang, Lorenzo Rosasco.
International Conference on Learning Representations (ICLR).
Generalization Analysis of Pairwise Learning for Ranking with Deep Neural Networks
Shuo Huang, Junyu Zhou, Han Feng, Ding-Xuan Zhou.
Neural Computation, 35(6):1135–1158.
Generalization Analysis of CNNs for Classification on Spheres
Han Feng*, Shuo Huang*, Ding-Xuan Zhou*.
IEEE Transactions on Neural Networks and Learning Systems, 34(9):6200–6213.
Theory of Deep Convolutional Neural Networks II: Spherical Analysis
Zhiying Fang*, Han Feng*, Shuo Huang*, Ding-Xuan Zhou*.
Neural Networks, 131:154–162.