Training and inference with integers in deep neural networks S Wu, G Li, F Chen, L Shi International Conference on Learning Representations (ICLR 2018), 2018 | 324 | 2018 |
Towards artificial general intelligence with hybrid Tianjic chip architecture J Pei, L Deng, S Song, M Zhao, Y Zhang, S Wu, G Wang, Z Zou, Z Wu, ... Nature 572 (7767), 106-111, 2019 | 314 | 2019 |
L1-Norm Batch Normalization for Efficient Training of Deep Neural Networks S Wu, G Li, L Deng, L Liu, D Wu, Y Xie, L Shi IEEE transactions on neural networks and learning systems 30 (7), 2043-2051, 2018 | 103 | 2018 |
Training high-performance and large-scale deep neural networks with full 8-bit integers Y Yang, L Deng, S Wu, T Yan, Y Xie, G Li Neural Networks 125, 70-82, 2020 | 51 | 2020 |
Convolution with even-sized kernels and symmetric padding S Wu, G Wang, P Tang, F Chen, L Shi Advances in Neural Information Processing Systems (2019), 2019 | 28 | 2019 |
Spontaneous sparse learning for PCM-based memristor neural networks DH Lim, S Wu, R Zhao, JH Lee, H Jeong, L Shi Nature communications 12 (1), 1-14, 2021 | 12 | 2021 |
SSM: a high-performance scheme for in situ training of imprecise memristor neural networks Y Wang, S Wu, L Tian, L Shi Neurocomputing 407, 270-280, 2020 | 8 | 2020 |
A hybrid and scalable brain-inspired robotic platform Z Zou, R Zhao, Y Wu, Z Yang, L Tian, S Wu, G Wang, Y Yu, Q Zhao, ... Scientific reports 10 (1), 1-13, 2020 | 6 | 2020 |
Hybrid neural state machine for neural network L Tian, Z Wu, S Wu, L Shi Science China Information Sciences 64 (3), 1-13, 2021 | 4 | 2021 |
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game H Fu, W Liu, S Wu, Y Wang, T Yang, K Li, J Xing, B Li, B Ma, Q Fu, Y Wei International Conference on Learning Representations, 2021 | | 2021 |
Neural network information receiving method, sending method, system, apparatus and readable storage medium L Shi, S Wu, J Pei, G Li US Patent App. 16/477,422, 2019 | | 2019 |