A high-speed and low-complexity architecture for softmax function in deep learning M Wang, S Lu, D Zhu, J Lin, Z Wang 2018 IEEE asia pacific conference on circuits and systems (APCCAS), 223-226, 2018 | 212 | 2018 |
Ntire 2020 challenge on nonhomogeneous dehazing CO Ancuti, C Ancuti, FA Vasluianu, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 129 | 2020 |
Hardware accelerator for multi-head attention and position-wise feed-forward in the transformer S Lu, M Wang, S Liang, J Lin, Z Wang 2020 IEEE 33rd International System-on-Chip Conference (SOCC), 84-89, 2020 | 125 | 2020 |
Efficient precision-adjustable architecture for softmax function in deep learning D Zhu, S Lu, M Wang, J Lin, Z Wang IEEE Transactions on Circuits and Systems II: Express Briefs 67 (12), 3382-3386, 2020 | 94 | 2020 |
E-LSTM: An efficient hardware architecture for long short-term memory M Wang, Z Wang, J Lu, J Lin, Z Wang IEEE Journal on Emerging and Selected Topics in Circuits and Systems 9 (2 …, 2019 | 65 | 2019 |
A flexible and efficient FPGA accelerator for various large-scale and lightweight CNNs X Wu, Y Ma, M Wang, Z Wang IEEE Transactions on Circuits and Systems I: Regular Papers 69 (3), 1185-1198, 2021 | 58 | 2021 |
Dynexit: A dynamic early-exit strategy for deep residual networks M Wang, J Mo, J Lin, Z Wang, L Du 2019 IEEE International Workshop on Signal Processing Systems (SiPS), 178-183, 2019 | 56 | 2019 |
Elbert: Fast albert with confidence-window based early exit K Xie, S Lu, M Wang, Z Wang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 21 | 2021 |
Transform-based feature map compression for CNN inference Y Shi, M Wang, S Chen, J Wei, Z Wang 2021 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2021 | 17 | 2021 |
Federated regularization learning: An accurate and safe method for federated learning T Su, M Wang, Z Wang 2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021 | 16 | 2021 |
Automatic model-based dataset generation for high-level vision tasks of autonomous driving in haze weather M Wang, T Su, S Chen, W Yang, J Liu, Z Wang IEEE Transactions on Industrial Informatics 19 (8), 9071-9081, 2022 | 7 | 2022 |
ReAFM: A reconfigurable nonlinear activation function module for neural networks X Wu, S Liang, M Wang, Z Wang IEEE Transactions on Circuits and Systems II: Express Briefs 70 (7), 2660-2664, 2023 | 6 | 2023 |
Hardware accelerator design for sparse DNN inference and training: A tutorial W Mao, M Wang, X Xie, X Wu, Z Wang IEEE Transactions on Circuits and Systems II: Express Briefs 71 (3), 1708-1714, 2023 | 5 | 2023 |
An efficient training accelerator for transformers with hardware-algorithm co-optimization H Shao, J Lu, M Wang, Z Wang IEEE Transactions on Very Large Scale Integration (VLSI) Systems 31 (11 …, 2023 | 5 | 2023 |
Ucvit: Hardware-friendly vision transformer via unified compression HR Song, Y Wang, M Wang, Z Wang 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 2022 | 4 | 2022 |
Rethinking adaptive computing: Building a unified model complexity-reduction framework with adversarial robustness M Wang, L He, J Lin, Z Wang IEEE Transactions on Neural Networks and Learning Systems 33 (4), 1803-1810, 2021 | 4 | 2021 |
FACCU: Enable fast accumulation for high-speed DSP systems M Wang, X Cheng, D Zou, Z Wang IEEE Transactions on Circuits and Systems II: Express Briefs 69 (12), 4634-4638, 2022 | 3 | 2022 |
Exploring quantization in few-shot learning M Wang, R Xue, J Lin, Z Wang 2020 18th IEEE International New Circuits and Systems Conference (NEWCAS …, 2020 | 2 | 2020 |
UEDA: A Universal And Efficient Deformable Attention Accelerator For Various Vision Tasks K Sun, M Wang, J Zhou, Z Wang Proceedings of the 30th Asia and South Pacific Design Automation Conference …, 2025 | | 2025 |
An Efficient and Precision-Reconfigurable Digital CIM Macro for DNN Accelerators D Zou, G Zhang, X Zhang, M Wang, Z Wang IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2024 | | 2024 |