Mingkun Xu

Orcid: 0000-0003-4329-8735

According to our database1, Mingkun Xu authored at least 21 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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10
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

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

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

FINE-LMT: Fine-Grained Feature Learning for Multi-modal Machine Translation.
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
Brain-inspired multimodal hybrid neural network for robot place recognition.
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
Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks.
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
Bigeminal Priors Variational auto-encoder.
CoRR, 2020

Brain-inspired global-local hybrid learning towards human-like intelligence.
CoRR, 2020

2019
Bridging adversarial samples and adversarial networks.
CoRR, 2019


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