Mingkun Xu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Wyner Ziv Video Coding

Functional Roles

Graph Representation

Spiking Neural Networks

Top Venues

Neural Networks

Publications

Huifeng Yin, Hanle Zheng, Jiayi Mao, Siyuan Ding, Xing Liu, Mingkun Xu, Yifan Hu, Jing Pei, Lei Deng
Understanding the Functional Roles of Modelling Components in Spiking Neural Networks. CoRR (2024)
Mingkun Xu, Huifeng Yin, Yujie Wu, Guoqi Li, Faqiang Liu, Jing Pei, Shuai Zhong, Lei Deng
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies. CoRR (2024)
Huifeng Yin, Mingkun Xu, Jing Pei, Lei Deng
Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks. CoRR (2024)
Mingkun Xu
Exploiting Homeostatic Synaptic Modulation in Spiking Neural Networks for Semi-Supervised Graph Learning. CIKM (2023)
Hongyi Li, Mingkun Xu, Jing Pei, Rong Zhao
Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips. ICONS (2023)
Mingkun Xu, Hao Zheng, Jing Pei, Lei Deng
A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing. AGI (2023)
Fangwen Yu, Yujie Wu, Songchen Ma, Mingkun Xu, Hongyi Li, Huanyu Qu, Chenhang Song, Taoyi Wang, Rong Zhao, Luping Shi
Brain-inspired multimodal hybrid neural network for robot place recognition. Sci. Robotics 8 (78) (2023)
Mingkun Xu, Faqiang Liu, Jing Pei
Endowing Spiking Neural Networks with Homeostatic Adaptivity for APS-DVS Bimodal Scenarios. ICMI Companion (2022)
Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu
Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation. Neural Networks 145 (2022)
Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. CoRR (2021)
Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi, Rong Zhao
Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks. Neural Networks 133 (2021)
Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. IJCAI (2021)
Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu
Detecting Out-of-distribution Samples via Variational Auto-encoder with Reliable Uncertainty Estimation. CoRR (2020)
Xuming Ran, Mingkun Xu, Qi Xu, Huihui Zhou, Quanying Liu
Bigeminal Priors Variational auto-encoder. CoRR (2020)
Yujie Wu, Rong Zhao, Jun Zhu, Feng Chen, Mingkun Xu, Guoqi Li, Sen Song, Lei Deng, Guanrui Wang, Hao Zheng, Jing Pei, Youhui Zhang, Mingguo Zhao, Luping Shi
Brain-inspired global-local hybrid learning towards human-like intelligence. CoRR (2020)
Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi
Bridging adversarial samples and adversarial networks. CoRR (2019)