| Modularizing deep learning via pairwise learning with kernels S Duan, S Yu, JC Príncipe IEEE Transactions on Neural Networks and Learning Systems 33 (4), 1441-1451, 2021 | 24 | 2021 |
| On kernel method–based connectionist models and supervised deep learning without backpropagation S Duan, S Yu, Y Chen, JC Principe Neural computation 32 (1), 97-135, 2020 | 16 | 2020 |
| Labels, Information, and Computation: Efficient Learning Using Sufficient Labels S Duan, S Chang, JC Prıncipe Journal of Machine Learning Research 24 (31), 1-35, 2023 | 5 | 2023 |
| Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods S Duan, JC Príncipe IEEE Computational Intelligence Magazine 17 (4), 39-51, 2022 | 4 | 2022 |
| Training Deep Architectures Without End-to-End Backpropagation: A Survey on the Provably Optimal Methods S Duan, JC Principe arXiv preprint arXiv:2101.03419, 2021 | 4 | 2021 |
| JPD-SE: High-Level Semantics for Joint Perception-Distortion Enhancement in Image Compression S Duan, H Chen, J Gu IEEE Transactions on Image Processing 31, 4405-4416, 2022 | 3 | 2022 |
| MACHINE LEARNING DEVELOPMENT USING SUFFICIENTLY-LABELED DATA JC Principe, S Duan US Patent App. 17/584,505, 2022 | | 2022 |
| Labels, Information, and Computation: Efficient Learning Using Sufficient Labels S Duan, S Chang, JC Principe arXiv preprint arXiv:2104.09015, 2021 | | 2021 |
| Unifying Kernel Methods and Neural Networks and Modularizing Deep Learning S Duan University of Florida, 2020 | | 2020 |
jose principeprofessor of ECE, U. of FloridaVerified email at cnel.ufl.edu
