徐明坤
博士、博士后
Email：xumingkun@@www.plm-bat.com
個(gè)人簡(jiǎn)介：
2018年本科畢業(yè)于西安電子科技大學(xué)測(cè)控技術(shù)與儀器專(zhuān)業(yè)，2023年在清華大學(xué)類(lèi)腦計(jì)算研究中心獲工學(xué)博士學(xué)位。研究成果主要發(fā)表于Nature Communications、Neural Networks、ACS applied materials & interfaces等雜志。
主要研究方向：
博士研究生期間主要研究脈沖神經(jīng)網(wǎng)絡(luò)算法設(shè)計(jì)及應(yīng)用。加入廣東省智能院后主要研究面向認(rèn)知推理的脈沖神經(jīng)網(wǎng)絡(luò)與神經(jīng)形態(tài)圖計(jì)算模型研究，通過(guò)引入神經(jīng)科學(xué)和認(rèn)知科學(xué)導(dǎo)向的歸納偏置，使網(wǎng)絡(luò)從數(shù)據(jù)中學(xué)習(xí)結(jié)構(gòu)化的知識(shí)和符號(hào)化的表征與關(guān)聯(lián)，進(jìn)而在層次化時(shí)空動(dòng)力學(xué)、分布式的信息整合、靈活的組合泛化等方面探究，為實(shí)現(xiàn)因果推理、規(guī)劃、決策等高級(jí)認(rèn)知智能提供技術(shù)基礎(chǔ)。
代表論著：
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.
