Mingkun Xu

According to our database, Mingkun Xu authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Brain-inspired continual pre-trained learner via silent synaptic consolidation.

Xuming Ran, Juntao Yao, Yusong Wang, Mingkun Xu, Dianbo Liu

CoRR, 2024

Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning.

Yujie Wu, Siyuan Xu, Jibin Wu, Lei Deng, Mingkun Xu, Qinghao Wen, Guoqi Li

CoRR, 2024

Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies.

Mingkun Xu, Huifeng Yin, Yujie Wu, Guoqi Li, Faqiang Liu, Jing Pei, Shuai Zhong, Lei Deng

CoRR, 2024

Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks.

Huifeng Yin, Mingkun Xu, Jing Pei, Lei Deng

CoRR, 2024

Understanding the Functional Roles of Modelling Components in Spiking Neural Networks.

Huifeng Yin, Hanle Zheng, Jiayi Mao, Siyuan Ding, Xing Liu, Mingkun Xu, Yifan Hu, Jing Pei, Lei Deng

CoRR, 2024

LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation.

Yusong Wang, Dongyuan Li, Jialun Shen, Yicheng Xu, Mingkun Xu, Kotaro Funakoshi, Manabu Okumura

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Brain-inspired multimodal hybrid neural network for robot place recognition.

Fangwen Yu, Yujie Wu, Songchen Ma, Mingkun Xu, Hongyi Li, Huanyu Qu, Chenhang Song, Taoyi Wang, Rong Zhao, Luping Shi

Sci. Robotics, 2023

Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips.

Hongyi Li, Mingkun Xu, Jing Pei, Rong Zhao

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Exploiting Homeostatic Synaptic Modulation in Spiking Neural Networks for Semi-Supervised Graph Learning.

Mingkun Xu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing.

Mingkun Xu, Hao Zheng, Jing Pei, Lei Deng

Proceedings of the Artificial General Intelligence - 16th International Conference, 2023

2022

Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation.

Xuming Ran, Mingkun Xu, Lingrui Mei, Qi Xu, Quanying Liu

Neural Networks, 2022

Endowing Spiking Neural Networks with Homeostatic Adaptivity for APS-DVS Bimodal Scenarios.

Mingkun Xu, Faqiang Liu, Jing Pei

Proceedings of the International Conference on Multimodal Interaction, 2022

2021

Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks.

Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi, Rong Zhao

Neural Networks, 2021

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning.

Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Bigeminal Priors Variational auto-encoder.

Xuming Ran, Mingkun Xu, Qi Xu, Huihui Zhou, Quanying Liu

CoRR, 2020

Brain-inspired global-local hybrid learning towards human-like intelligence.

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

CoRR, 2020

2019

Bridging adversarial samples and adversarial networks.

Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi

CoRR, 2019