| Only train once: A one-shot neural network training and pruning framework T Chen, B Ji, T Ding, B Fang, G Wang, Z Zhu, L Liang, Y Shi, S Yi, X Tu Advances in Neural Information Processing Systems 34, 19637-19651, 2021 | 126 | 2021 |
| Orthant Based Proximal Stochastic Gradient Method for -Regularized Optimization T Chen, T Ding, B Ji, G Wang, Y Shi, J Tian, S Yi, X Tu, Z Zhu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 27 | 2021 |
| Neural network compression via sparse optimization T Chen, B Ji, Y Shi, T Ding, B Fang, S Yi, X Tu arXiv preprint arXiv:2011.04868, 2020 | 17 | 2020 |
| Spatially sparse convolutional neural networks for inking applications T Chen, Y Shi, S Yi US Patent 11,188,744, 2021 | 8 | 2021 |
| Object detection and segmentation for inking applications Y Shi, A Orazaev, T Chen, S Yi US Patent 11,113,517, 2021 | 3 | 2021 |
| Model compression by sparsity-inducing regularization optimization T Chen, S Yi, Y Shi, X Tu US Patent App. 18/458,709, 2023 | | 2023 |
| Model compression by sparsity—inducing regularization optimization T Chen, S Yi, Y Shi, X Tu US Patent 11,790,226, 2023 | | 2023 |
Sheng YiSimplegen在 simplegen.ai 的电子邮件经过验证
