Faqiang Liu

Orcid: 0000-0002-2236-0539

According to our database1, Faqiang Liu authored at least 13 papers between 2017 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies.
CoRR, 2024

Neural Dynamics Pruning for Energy-Efficient Spiking Neural Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
Distributed Intelligent Collaborative Scheduling Mechanism for Cloud-Edge-End Resources in IoT.
IAIC (3), 2023

2022
Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots.
Sci. Robotics, 2022

Endowing Spiking Neural Networks with Homeostatic Adaptivity for APS-DVS Bimodal Scenarios.
Proceedings of the International Conference on Multimodal Interaction, 2022

Towards Both Accurate and Robust Neural Networks Without Extra Data.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

2021
Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks.
Neural Networks, 2021

Adversarial Feature Stacking for Accurate and Robust Predictions.
CoRR, 2021

Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2019
Bridging adversarial samples and adversarial networks.
CoRR, 2019

Optimized Service Function Path Scaling in SDN/NFV Networks.
Proceedings of the ICSCC 2019: 5th International Conference on Systems, 2019

2017
Minimizing transmission cost for multiple service function chains in SDN/NFV networks.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

Multiple service function chaining under load balance in SDN/NFV networks.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017


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