Mingkun Xu
Orcid: 0000-0003-4329-8735
According to our database1,
Mingkun Xu
authored at least 21 papers
between 2019 and 2024.
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Bibliography
2024
Understanding the functional roles of modelling components in spiking neural networks.
Neuromorph. Comput. Eng., 2024
Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency.
CoRR, 2024
G3Flow: Generative 3D Semantic Flow for Pose-aware and Generalizable Object Manipulation.
CoRR, 2024
Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach.
CoRR, 2024
CoRR, 2024
Distance-Forward Learning: Enhancing the Forward-Forward Algorithm Towards High-Performance On-Chip Learning.
CoRR, 2024
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies.
CoRR, 2024
Enhancing Graph Representation Learning with Attention-Driven Spiking Neural Networks.
CoRR, 2024
Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024
LAMBDA: Large Language Model-Based Data Augmentation for Multi-Modal Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
2023
Sci. Robotics, 2023
Efficient GCN Deployment with Spiking Property on Spatial-Temporal Neuromorphic Chips.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023
Exploiting Homeostatic Synaptic Modulation in Spiking Neural Networks for Semi-Supervised Graph Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
A Unified Structured Framework for AGI: Bridging Cognition and Neuromorphic Computing.
Proceedings of the Artificial General Intelligence - 16th International Conference, 2023
2022
Detecting out-of-distribution samples via variational auto-encoder with reliable uncertainty estimation.
Neural Networks, 2022
Endowing Spiking Neural Networks with Homeostatic Adaptivity for APS-DVS Bimodal Scenarios.
Proceedings of the International Conference on Multimodal Interaction, 2022
2021
Neural Networks, 2021
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
2019