| Pruning and quantization for deep neural network acceleration: A survey T Liang, J Glossner, L Wang, S Shi, X Zhang Neurocomputing 461, 370-403, 2021 | 866 | 2021 |
| Dynamic runtime feature map pruning P Zhang, T Liang, J Glossner, L Wang, S Shi, X Zhang Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021 …, 2021 | 12* | 2021 |
| Heterogeneous edge CNN hardware accelerator M Moudgill, J Glossner, W Huang, C Tian, C Xu, N Yang, L Wang, T Liang, ... 2020 International Conference on Wireless Communications and Signal …, 2020 | 5 | 2020 |
| TCX: A RISC style tensor computing extension and a programmable tensor processor T Liang, L Wang, S Shi, J Glossner, X Zhang ACM Transactions on Embedded Computing Systems 22 (3), 1-27, 2023 | 2 | 2023 |
| TCX: a programmable tensor processor T Liang, L Wang, S Shi, J Glossner, X Zhang 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2022 | 1 | 2022 |
John GlossnerUniversity of Science and Technology BeijingGeverifieerd e-mailadres voor glossner.org