| Spatio-temporal backpropagation for training high-performance spiking neural networks Y Wu, L Deng, G Li, J Zhu, L Shi Frontiers in neuroscience 12, 331, 2018 | 1072 | 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 | 939 | 2019 |
| Direct training for spiking neural networks: Faster, larger, better Y Wu, L Deng, G Li, J Zhu, Y Xie, L Shi Proceedings of the AAAI conference on artificial intelligence 33 (01), 1311-1318, 2019 | 681 | 2019 |
| Going deeper with directly-trained larger spiking neural networks H Zheng, Y Wu, L Deng, Y Hu, G Li Proceedings of the AAAI conference on artificial intelligence 35 (12), 11062 …, 2021 | 456 | 2021 |
| Rethinking the performance comparison between SNNS and ANNS L Deng*, Y Wu*, X Hu, L Liang, Y Ding, G Li, G Zhao, P Li, Y Xie Neural Networks 121, 294-307, 2020 | 280 | 2020 |
| Tianjic: A unified and scalable chip bridging spike-based and continuous neural computation L Deng, G Wang, G Li, S Li, L Liang, M Zhu, Y Wu, Z Yang, Z Zou, J Pei, ... IEEE Journal of Solid-State Circuits 55 (8), 2228-2246, 2020 | 150 | 2020 |
| Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences W He, YJ Wu, L Deng, G Li, H Wang, Y Tian, W Ding, W Wang, Y Xie Neural Networks 132, 108-120, 2020 | 146 | 2020 |
| Truly concomitant and independently expressed short‐and long‐term plasticity in a Bi2O2Se‐based three‐terminal memristor Z Zhang*, T Li*, Y Wu*, Y Jia*, C Tan, X Xu, G Wang, J Lv, W Zhang, Y He, ... Advanced Materials 31 (3), 1805769, 2019 | 114 | 2019 |
| Forecasting solar radiation using an optimized hybrid model by Cuckoo Search algorithm J Wang, H Jiang, Y Wu, Y Dong Energy 81, 627-644, 2015 | 111 | 2015 |
| Highly compact artificial memristive neuron with low energy consumption Y Zhang, W He, Y Wu, K Huang, Y Shen, J Su, Y Wang, Z Zhang, X Ji, ... Small 14 (51), 1802188, 2018 | 103 | 2018 |
| Brain-inspired global-local learning incorporated with neuromorphic computing Y Wu, R Zhao, J Zhu, F Chen, M Xu, G Li, S Song, L Deng, G Wang, ... Nature Communications 13 (65), 2022 | 84 | 2022 |
| Comprehensive snn compression using admm optimization and activity regularization L Deng*, Y Wu*, Y Hu, L Liang, G Li, X Hu, Y Ding, P Li, Y Xie IEEE Transactions on Neural Networks and Learning Systems, 2021 | 70 | 2021 |
| Exploring adversarial attack in spiking neural networks with spike-compatible gradient L Liang, X Hu, L Deng, Y Wu, G Li, Y Ding, P Li, Y Xie IEEE transactions on neural networks and learning systems 34 (5), 2569-2583, 2021 | 66 | 2021 |
| A novel hybrid model based on artificial neural networks for solar radiation prediction Y Wu, J Wang Renewable Energy 89, 268-284, 2016 | 58 | 2016 |
| Advancing spiking neural networks toward deep residual learning Y Hu, L Deng, Y Wu, M Yao, G Li IEEE Transactions on Neural Networks and Learning Systems, 2024 | 49 | 2024 |
| A framework for the general design and computation of hybrid neural networks R Zhao*, Z Yang*, H Zheng*, Y Wu*, F Liu, Z Wu, L Li, F Chen, S Song, ... Nature Communications 13 (1), 1-12, 2022 | 45 | 2022 |
| Advancing residual learning towards powerful deep spiking neural networks Y Hu, Y Wu, L Deng, G Li arXiv preprint arXiv:2112.08954 7, 2021 | 39 | 2021 |
| DashNet: A hybrid artificial and spiking neural network for high-speed object tracking Z Yang*, Y Wu*, G Wang, Y Yang, G Li, L Deng, J Zhu, L Shi arXiv preprint arXiv:1909.12942, 2019 | 39 | 2019 |
| Brain-inspired multimodal hybrid neural network for robot place recognition F Yu*, Y Wu*, S Ma*, M Xu, H Li, H Qu, C Song, T Wang, R Zhao, L Shi Science Robotics 8 (78), eabm6996, 2023 | 34 | 2023 |
| Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots S Ma, J Pei, W Zhang, G Wang, D Feng, F Yu, C Song, H Qu, C Ma, M Lu, ... Science Robotics 7 (67), eabk2948, 2022 | 34 | 2022 |
Guoqi LiProfessor, Institue of Automation，Chinese Academy of Sciences，Previously Tsinghua UniversityVerified email at ia.ac.cn
