| Energy-efficient oriented approximate quantization scheme for fine-grained sparse neural network acceleration T Yu, B Wu, K Chen, C Yan, W Liu 2022 IEEE 40th International Conference on Computer Design (ICCD), 762-769, 2022 | 2 | 2022 |
| Data stream oriented fine-grained sparse CNN accelerator with efficient unstructured pruning strategy T Yu, B Wu, K Chen, C Yan, W Liu Proceedings of the Great Lakes Symposium on VLSI 2022, 243-248, 2022 | 2 | 2022 |
| Edge-Side Fine-Grained Sparse CNN Accelerator With Efficient Dynamic Pruning Scheme B Wu, T Yu, K Chen, W Liu IEEE Transactions on Circuits and Systems I: Regular Papers, 2024 | 1 | 2024 |
| A Potential Enabler for High-Performance In-Memory Multi-Bit Arithmetic Schemes With Unipolar Switching SOT-MRAM H Zhu, B Wu, T Yu, K Chen, C Yan, W Liu IEEE Transactions on Circuits and Systems I: Regular Papers, 2024 | | 2024 |
| Toward Efficient Retraining: A Large-Scale Approximate Neural Network Framework With Cross-Layer Optimization T Yu, B Wu, K Chen, C Yan, W Liu IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2024 | | 2024 |
| Fully Learnable Hyperdimensional Computing Framework with Ultra-tiny Accelerator for Edge-side Applications T Yu, B Wu, K Chen, G Zhang, W Liu IEEE Transactions on Computers, 2023 | | 2023 |
| High-Performance STT-MRAM-Based Computing-in-Memory Scheme Utilizing Data Read Feature B Wu, K Liu, T Yu, H Zhu, K Chen, C Yan, E Deng, W Liu IEEE Transactions on Nanotechnology 22, 817-826, 2023 | | 2023 |
| Toward Spintronics Non-volatile Computing-in-Memory Architecture B Wu, H Zhu, T Yu, W Liu Design and Applications of Emerging Computer Systems, 67-89, 2023 | | 2023 |
Weiqiang LiuProfessor, Nanjing University of Aeronautics and AstronauticsVerified email at nuaa.edu.cn
