| 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, J Zhu, ... Nature communications 13 (1), 3427, 2022 | 62 | 2022 |
| Monolayer MoS2/WO3 Heterostructures with Sulfur Anion Reservoirs as Electronic Synapses for Neuromorphic Computing S Hao, X Ji, F Liu, S Zhong, KY Pang, KG Lim, TC Chong, R Zhao ACS Applied Nano Materials 4 (2), 1766-1775, 2021 | 45 | 2021 |
| 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 | 41 | 2022 |
| Exploiting spiking dynamics with spatial-temporal feature normalization in graph learning M Xu, Y Wu, L Deng, F Liu, G Li, J Pei arXiv preprint arXiv:2107.06865, 2021 | 28 | 2021 |
| Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks F Liu, M Xu, G Li, J Pei, L Shi, R Zhao Neural Networks 133, 148-156, 2021 | 14 | 2021 |
| Advancing brain-inspired computing with hybrid neural networks F Liu, H Zheng, S Ma, W Zhang, X Liu, Y Chua, L Shi, R Zhao National Science Review 11 (5), nwae066, 2024 | 9 | 2024 |
| Enhancing spiking neural networks with hybrid top-down attention F Liu, R Zhao Frontiers in Neuroscience 16, 949142, 2022 | 7 | 2022 |
| Endowing spiking neural networks with homeostatic adaptivity for APS-DVS bimodal scenarios M Xu, F Liu, J Pei Companion Publication of the 2022 International Conference on Multimodal …, 2022 | 5 | 2022 |
| Adaptive synaptic scaling in spiking networks for continual learning and enhanced robustness M Xu, F Liu, Y Hu, H Li, Y Wei, S Zhong, J Pei, L Deng IEEE Transactions on Neural Networks and Learning Systems, 2024 | 4 | 2024 |
| A biodegradable artificial synapse implemented by foundry-compatible materials S Zhong, X Ji, S Hao, F Liu, R Zhao Applied Physics Letters 117 (19), 2020 | 2 | 2020 |
| Towards both accurate and robust neural networks without extra data F Liu, R Zhao International Conference on Artificial Neural Networks, 379-390, 2022 | 1 | 2022 |
| Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies M Xu, H Yin, Y Wu, G Li, F Liu, J Pei, S Zhong, L Deng arXiv preprint arXiv:2407.20508, 2024 | | 2024 |
| Neural Dynamics Pruning for Energy-Efficient Spiking Neural Networks H Huang, L He, F Liu, R Zhao, L Shi 2024 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2024 | | 2024 |