Associate Professor, Huazhong University of Science and Technology
2 papers at NeurIPS 2025
The paper systematically analyzes the phenomenon of varying sparsity ratios across views in multi-view learning, and proposed a targeted data-driven network architecture based on Sparse Autoencoder with Adaptive Constraints.
