Faqiang Liu

According to our database, Faqiang Liu authored at least 14 papers between 2017 and 2025.

Collaborative distances:

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

2025

Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness.

Mingkun Xu, Faqiang Liu, Yifan Hu, Hongyi Li, Yuanyuan Wei, Shuai Zhong, Jing Pei, Lei Deng

IEEE Trans. Neural Networks Learn. Syst., March, 2025

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

Neural Dynamics Pruning for Energy-Efficient Spiking Neural Networks.

Haoyu Huang, Linxuan He, Faqiang Liu, Rong Zhao, Luping Shi

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023

Distributed Intelligent Collaborative Scheduling Mechanism for Cloud-Edge-End Resources in IoT.

Liqiang Wang, Wenchen He, Ruilin Liu, Faqiang Liu

IAIC (3), 2023

2022

Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots.

Songchen Ma, Jing Pei, Weihao Zhang, Guanrui Wang, Dahu Feng, Fangwen Yu, Chenhang Song, Huanyu Qu, Cheng Ma, Mingsheng Lu, Faqiang Liu, Wenhao Zhou, Yujie Wu, Yihan Lin, Hongyi Li, Taoyi Wang, Jiuru Song, Xue Liu, Guoqi Li, Rong Zhao, Luping Shi

Sci. Robotics, 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

Towards Both Accurate and Robust Neural Networks Without Extra Data.

Faqiang Liu, Rong Zhao

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 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

Adversarial Feature Stacking for Accurate and Robust Predictions.

Faqiang Liu, Rong Zhao, Luping Shi

CoRR, 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

2019

Bridging adversarial samples and adversarial networks.

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

CoRR, 2019

Optimized Service Function Path Scaling in SDN/NFV Networks.

Faqiang Liu, Peng Li, Shengxiang Gao, Xin Wan, Wei An

Proceedings of the ICSCC 2019: 5th International Conference on Systems, 2019

2017

Minimizing transmission cost for multiple service function chains in SDN/NFV networks.

Faqiang Liu, Xin Chen, Wei An, Yong Peng, Jiuyue Cao, Yan Zhang

Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

Multiple service function chaining under load balance in SDN/NFV networks.

Faqiang Liu, Xin Chen, Wei An, Yong Peng, Jiuyue Cao, Yan Zhang

Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017