| 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 (1), 65, 2022 | 70 | 2022 |
| Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation X Ran, M Xu, L Mei, Q Xu, Q Liu Neural Networks 145, 199-208, 2022 | 41 | 2022 |
| Self-doping memristors with equivalently synaptic ion dynamics for neuromorphic computing Y Wang, Z Zhang, M Xu, Y Yang, M Ma, H Li, J Pei, L Shi ACS applied materials & interfaces 11 (27), 24230-24240, 2019 | 41 | 2019 |
| 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 | 35 | 2022 |
| A new opportunity for the emerging tellurium semiconductor: making resistive switching devices Y Yang, M Xu, S Jia, B Wang, L Xu, X Wang, H Liu, Y Liu, Y Guo, L Wang, ... Nature Communications 12 (1), 6081, 2021 | 30 | 2021 |
| Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning M Xu, Y Wu, L Deng, F Liu, G Li, J Pei Proceedings of the Thirtieth International Joint Conference on Artificial …, 2021 | 22 | 2021 |
| 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 | 16 | 2023 |
| 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 | 12 | 2021 |
| Brain-inspired global-local hybrid learning towards human-like intelligence Y Wu, R Zhao, J Zhu, F Chen, M Xu, G Li, S Song, L Deng, G Wang, ... arXiv preprint arXiv:2006.03226 2, 2020 | 9 | 2020 |
| 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 | 3 | 2022 |
| Bigeminal priors variational auto-encoder X Ran, M Xu, Q Xu, H Zhou, Q Liu arXiv preprint arXiv:2010.01819, 2020 | 3 | 2020 |
| Exploiting homeostatic synaptic modulation in spiking neural networks for semi-supervised graph learning M Xu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 2 | 2023 |
| A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing M Xu, H Zheng, J Pei, L Deng International Conference on Artificial General Intelligence, 345-356, 2023 | 2 | 2023 |
| Bio-realistic and versatile artificial dendrites made of anti-ambipolar transistors Y Yang, M Xu, J Pei, P Li, G Li, S Wu, H Li arXiv preprint arXiv:2212.01277, 2022 | 2 | 2022 |
| Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips H Li, M Xu, J Pei, R Zhao Proceedings of the 2023 International Conference on Neuromorphic Systems, 1-8, 2023 | 1 | 2023 |
| A mempolar transistor made from tellurium Y Yang, L Xu, M Xu, H Liu, D Liu, W Duan, J Pei, H Li arXiv preprint arXiv:2301.01986, 2023 | 1 | 2023 |
| A new opportunity for the emerging tellurium semiconductor: resistive switching device implementation Y Yang, M Xu, L Xu, X Wang, H Liu, Y Liu, J Pei, W Duan, D Liu, H Li | 1 | 2021 |
| 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 | | 2024 |
| Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks H Yin, M Xu, J Pei, L Deng arXiv preprint arXiv:2403.17040, 2024 | | 2024 |
| Understanding the Functional Roles of Modelling Components in Spiking Neural Networks H Yin, H Zheng, J Mao, S Ding, X Liu, M Xu, Y Hu, J Pei, L Deng arXiv preprint arXiv:2403.16674, 2024 | | 2024 |
Guoqi LiProfessor, Institue of Automation，Chinese Academy of Sciences，Previously Tsinghua UniversityVerified email at ia.ac.cn
