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Journal Articles
- 2022
[j2]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:
Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots. Sci. Robotics 7(67) (2022)- 2021
- [j1]Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi, Rong Zhao:
Adversarial symmetric GANs: Bridging adversarial samples and adversarial networks. Neural Networks 133: 148-156 (2021)
Conference and Workshop Papers
- 2024
- [c8]Haoyu Huang, Linxuan He, Faqiang Liu, Rong Zhao, Luping Shi:
Neural Dynamics Pruning for Energy-Efficient Spiking Neural Networks. ICME 2024: 1-6 - 2023
- [c7]Liqiang Wang, Wenchen He, Ruilin Liu, Faqiang Liu:
Distributed Intelligent Collaborative Scheduling Mechanism for Cloud-Edge-End Resources in IoT. IAIC (3) 2023: 56-68 - 2022
- [c6]Faqiang Liu, Rong Zhao:
Towards Both Accurate and Robust Neural Networks Without Extra Data. ICANN (1) 2022: 379-390 - [c5]Mingkun Xu, Faqiang Liu, Jing Pei:
Endowing Spiking Neural Networks with Homeostatic Adaptivity for APS-DVS Bimodal Scenarios. ICMI Companion 2022: 12-17 - 2021
- [c4]Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei:
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. IJCAI 2021: 3207-3213 - 2019
- [c3]Faqiang Liu, Peng Li, Shengxiang Gao, Xin Wan, Wei An:
Optimized Service Function Path Scaling in SDN/NFV Networks. ICSCC 2019: 27-32 - 2017
- [c2]Faqiang Liu, Xin Chen, Wei An, Yong Peng, Jiuyue Cao, Yan Zhang:
Multiple service function chaining under load balance in SDN/NFV networks. PIMRC 2017: 1-6 - [c1]Faqiang Liu, Xin Chen, Wei An, Yong Peng, Jiuyue Cao, Yan Zhang:
Minimizing transmission cost for multiple service function chains in SDN/NFV networks. PIMRC 2017: 1-6
Informal and Other Publications
- 2024
- [i4]Mingkun Xu, Huifeng Yin, Yujie Wu, Guoqi Li, Faqiang Liu, Jing Pei, Shuai Zhong, Lei Deng:
Unveiling the Potential of Spiking Dynamics in Graph Representation Learning through Spatial-Temporal Normalization and Coding Strategies. CoRR abs/2407.20508 (2024) - 2021
- [i3]Faqiang Liu, Rong Zhao, Luping Shi:
Adversarial Feature Stacking for Accurate and Robust Predictions. CoRR abs/2103.13124 (2021) - [i2]Mingkun Xu, Yujie Wu, Lei Deng, Faqiang Liu, Guoqi Li, Jing Pei:
Exploiting Spiking Dynamics with Spatial-temporal Feature Normalization in Graph Learning. CoRR abs/2107.06865 (2021) - 2019
- [i1]Faqiang Liu, Mingkun Xu, Guoqi Li, Jing Pei, Luping Shi:
Bridging adversarial samples and adversarial networks. CoRR abs/1912.09670 (2019)
Coauthor Index
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