徐明坤
博士、博士后
Email：xumingkun@@gdiist.cn
个人简介：
2018年本科毕业于西安电子科技大学测控技术与仪器专业，2023年在清华大学类脑计算研究中心获工学博士学位。研究成果主要发表于Nature Communications、Neural Networks、ACS applied materials & interfaces等杂志。
主要研究方向：
博士研究生期间主要研究脉冲神经网络算法设计及应用。加入广东省智能院后主要研究面向认知推理的脉冲神经网络与神经形态图计算模型研究，通过引入神经科学和认知科学导向的归纳偏置，使网络从数据中学习结构化的知识和符号化的表征与关联，进而在层次化时空动力学、分布式的信息整合、灵活的组合泛化等方面探究，为实现因果推理、规划、决策等高级认知智能提供技术基础。
代表论著：
1. Zhong S *, Zhou J C, Yu F W, Xu M, Zhang Y S*, Yu B, Zhao R*. An Optical Neuromorphic Sensor with High Uniformity and High Linearity for Indoor Visible Light Localization. Advanced Sensor Research. (2024)
a2. Xu M, Liu F Q, Hu Y F, Li H Y, Wei Y Y, Zhong S, Pei J and Deng L. Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness[J]. IEEE Transactions on Neural Networks and Learning Systems. (Accepted in 2024.2.25)
3. Xu M*. Exploiting homeostatic synaptic modulation in spiking neural networks for semi-supervised graph learning[C]. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. 5193-5195. (2023)
4. Yu F, Wu Y, Ma S, Xu M, et al. Brain-inspired multimodal hybrid neural network for robot place recognition[J]. Science Robotics, 8(78): eabm6996. (2023)
5. Li H, Xu M, Pei J, et al. Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips[C]. Proceedings of the 2023 International Conference on Neuromorphic Systems. 1-8. (2023)
6. Xu M, Zheng H, Pei J, et al. A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing[C]. International Conference on Artificial General Intelligence. Cham: Springer Nature Switzerland, 345-356. (2023)
7. Ran X, Xu M (Co-first author), Mei L, et al. Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation[J]. Neural Networks, 145: 199-208. (2022)
8. Xu M, Liu F, Pei J. Endowing spiking neural networks with homeostatic adaptivity for APS-DVS bimodal scenarios[C]. Companion Publication of the 2022 International Conference on Multimodal Interaction. 12-17. (2022)
9. Liu F, Xu M (Co-first author), Li G, et al. Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks[J]. Neural Networks, 133: 148-156. (2021)
10. Xu M, Wu Y, Deng L, Liu F, Li G and Pei J. Exploiting spiking dynamics with spatial-temporal feature normalization in graph learning. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21), pages 3207-3213, 2021.
11. Yang Y, Xu M (Co-first author), Jia S, Wang B, et al. A new opportunity for the emerging tellurium semiconductor: making resistive switching devices[J]. Nature communications, 2021, 12(1): 1-12.
12. Wu Y, Zhao R, Zhu J, Chen F, Xu M (Co-first author), Li G, et al. Brain-inspired global-local learning incorporated with neuromorphic computing[J]. Nature Communications, 2022, 13(1): 1-14.
