| 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 | 989 | 2019 |
| 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 | 494 | 2018 |
| 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 | 188 | 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 | 120 | 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 | 79 | 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), 319, 2021 | 43 | 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 | 29 | 2021 |
| 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), 18160, 2020 | 26 | 2020 |
| Quality-similar diversity via population based reinforcement learning S Wu, J Yao, H Fu, Y Tian, C Qian, Y Yang, Q Fu, Y Wei The Eleventh International Conference on Learning Representations, 2023 | 17 | 2023 |
| 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 | 16 | 2020 |
| Enhance reasoning for large language models in the game werewolf S Wu, L Zhu, T Yang, S Xu, Q Fu, Y Wei, H Fu arXiv preprint arXiv:2402.02330, 2024 | 15 | 2024 |
| Greedy when sure and conservative when uncertain about the opponents H Fu, Y Tian, H Yu, W Liu, S Wu, J Xiong, Y Wen, K Li, J Xing, Q Fu, ... International Conference on Machine Learning, 6829-6848, 2022 | 12 | 2022 |
| Hybrid neural state machine for neural network L Tian, Z Wu, S Wu, L Shi Science China Information Sciences 64 (3), 132202, 2021 | 12 | 2021 |
| Curriculum-based co-design of morphology and control of voxel-based soft robots Y Wang, S Wu, H Fu, Q Fu, T Zhang, Y Chang, X Wang The Eleventh International Conference on Learning Representations, 2023 | 10 | 2023 |
| PreCo: Enhancing Generalization in Co-Design of Modular Soft Robots via Brain-Body Pre-Training Y Wang, S Wu, T Zhang, Y Chang, H Fu, Q Fu, X Wang Conference on Robot Learning, 478-498, 2023 | 5 | 2023 |
| Speedup training artificial intelligence for mahjong via reward variance reduction J Li, S Wu, H Fu, Q Fu, E Zhao, J Xing 2022 IEEE Conference on Games (CoG), 345-352, 2022 | 4 | 2022 |
| Neural network information receiving method, sending method, system, apparatus and readable storage medium L Shi, S Wu, J Pei, G Li US Patent 11,823,030, 2023 | | 2023 |
Guoqi LiProfessor, Institue of Automation，Chinese Academy of Sciences，Previously Tsinghua UniversityVerified email at ia.ac.cn
