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ORCIDWaixi Liu 0001
Person information
- affiliation: Guangzhou University, School of Mechanical and Electric Engineering, Department of Computer Science and Technology, China
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2020 – today
- 2024
[j21]Waixi Liu, Jun Cai
, Sen Ling, Jian-Yu Zhang, Qingchun Chen:
QALL: Distributed Queue-Behavior-Aware Load Balancing Using Programmable Data Planes. IEEE Trans. Netw. Serv. Manag. 21(2): 2303-2322 (2024)- [i1]Kongyang Chen, Zixin Wang, Bing Mi, Waixi Liu, Shaowei Wang, Xiaojun Ren, Jiaxing Shen:
Machine Unlearning in Large Language Models. CoRR abs/2404.16841 (2024) - 2023
- [j20]Waixi Liu, Jun Cai, Yinghao Zhu, Junming Luo, Jin Li:
Load balancing inside programmable data planes based on network modeling prediction using a GNN with network behaviors. Comput. Networks 227: 109695 (2023) - [j19]Waixi Liu, Cong Liang, Yong Cui, Jun Cai, Jun-Ming Luo:
Programmable Data Plane Intelligence: Advances, Opportunities, and Challenges. IEEE Netw. 37(5): 122-128 (2023) - [c16]Haosen Chen, Waixi Liu, Miaoquan Tan, Junming Luo:
CL-SGD: Efficient Communication by Clustering and Local-SGD for Distributed Machine Learning. ICC 2023: 4409-4415 - 2022
- [j18]Waixi Liu, Rui-Peng Yin, Ping-Yu Zhu:
Deep Learning Approach for Sensor Data Prediction and Sensor Fault Diagnosis in Wind Turbine Blade. IEEE Access 10: 117225-117234 (2022) - [j17]Miaoquan Tan, Waixi Liu, Junming Luo, Haosen Chen, Zhenzheng Guo:
Adaptive synchronous strategy for distributed machine learning. Int. J. Intell. Syst. 37(12): 11713-11741 (2022) - [j16]Waixi Liu, Jinjie Lu, Jun Cai, Yinghao Zhu, Sen Ling, Qingchun Chen:
DRL-PLink: Deep Reinforcement Learning With Private Link Approach for Mix-Flow Scheduling in Software-Defined Data-Center Networks. IEEE Trans. Netw. Serv. Manag. 19(2): 1049-1064 (2022) - [c15]Yinghao Zhu, Waixi Liu, Sen Ling, Junming Luo:
Network Modeling Based on GNN and Network Behaviors. ICCCS 2022: 554-559 - [c14]Junming Luo, Waixi Liu, Miaoquan Tan, Haosen Chen:
Binary Neural Network with P4 on Programmable Data Plane. MSN 2022: 960-965 - 2021
- [j15]Yaohua Chen, Waixi Liu:
MAC Layer Energy Consumption and Routing Protocol Optimization Algorithm for Mobile Ad Hoc Networks. Complex. 2021: 6687189:1-6687189:12 (2021) - [j14]Waixi Liu, Jun Cai, Qing Chun Chen, Yu Wang:
DRL-R: Deep reinforcement learning approach for intelligent routing in software-defined data-center networks. J. Netw. Comput. Appl. 177: 102865 (2021) - [j13]Jun Cai, Zhongwei Huang, Liping Liao, Jianzhen Luo, Waixi Liu:
APPM: Adaptive Parallel Processing Mechanism for Service Function Chains. IEEE Trans. Netw. Serv. Manag. 18(2): 1540-1555 (2021) - [c13]Sen Ling, Waixi Liu, Yinghao Zhu, Miaoquan Tan, Jieming Huang, Zhenzheng Guo, Wen-Hong Lin:
FullSight: Towards Scalable, High-Coverage, and Fine-grained Network Telemetry. MSN 2021: 263-270 - [c12]Wen-Hong Lin, Waixi Liu, Gui-Feng Chen, Song Wu, Jin-Jiang Fu, Xing Liang, Sen Ling, Zhitao Chen:
Network Telemetry by Observing and Recording on Programmable Data Plane. Networking 2021: 1-6 - 2020
- [j12]Waixi Liu, Yu Wang, Jie Zhang, Hongjian Liao, Zhong-Wei Liang, Xiaochu Liu:
AAMcon: an adaptively distributed SDN controller in data center networks. Frontiers Comput. Sci. 14(1): 146-161 (2020) - [j11]Waixi Liu, Jun Cai, Yu Wang, Qing Chun Chen, Jia-Qi Zeng:
Fine-grained flow classification using deep learning for software defined data center networks. J. Netw. Comput. Appl. 168: 102766 (2020) - [c11]Jinjie Lu, Waixi Liu, Yinghao Zhu, Sen Ling, Zhitao Chen, Jiaqi Zeng:
Scheduling mix-flow in SD-DCN based on Deep Reinforcement Learning with Private Link. MSN 2020: 395-401
2010 – 2019
- 2019
- [j10]Yu Wang, Hanxiao Xue, Yang Liu, Waixi Liu:
Statistical network protocol identification with unknown pattern extraction. Ann. des Télécommunications 74(7-8): 473-482 (2019) - [j9]Waixi Liu, Jun Cai, Yu Wang, Qing Chun Chen, Dong Tang:
Mix-flow scheduling using deep reinforcement learning for software-defined data-center networks. Internet Technol. Lett. 2(3) (2019) - [c10]Waixi Liu:
Intelligent Routing based on Deep Reinforcement Learning in Software-Defined Data-Center Networks. ISCC 2019: 1-6 - 2018
- [j8]Waixi Liu, Jie Zhang, Zhong-Wei Liang, Ling-Xi Peng, Jun Cai:
Content Popularity Prediction and Caching for ICN: A Deep Learning Approach With SDN. IEEE Access 6: 5075-5089 (2018) - [j7]Yu Wang, Weizhi Meng, Wenjuan Li, Jin Li, Waixi Liu, Yang Xiang:
A fog-based privacy-preserving approach for distributed signature-based intrusion detection. J. Parallel Distributed Comput. 122: 26-35 (2018) - [j6]Waixi Liu, Jin Li, Jun Cai, Yu Wang, Xiao-Chu Liu, Shun-Zheng Yu:
COD: caching on demand in information-centric networking. Telecommun. Syst. 69(3): 303-319 (2018) - 2017
- [j5]Waixi Liu, Shun-Zheng Yu, Guang Tan, Jun Cai:
Information-centric networking with built-in network coding to achieve multisource transmission at network-layer. Comput. Networks 115: 110-128 (2017) - [c9]Ying Gao, Waixi Liu:
Functional Link Artificial Neural Network with Cloud Estimation of Distribution Algorithm for Traffic Flow Forecast. ISCID (2) 2017: 194-197 - 2016
- [j4]Ying Gao, Waixi Liu:
Cloud estimation of distribution algorithm with quasi-oppositional learning and preference order ranking for multi-objective optimisation. Int. J. Grid Util. Comput. 7(3): 200-207 (2016) - 2014
- [c8]Ying Gao, Lingxi Peng, Fufang Li, Miao Liu, Waixi Liu:
Multi-objective cloud estimation of distribution particle swarm optimizer using maximum ranking. ICNC 2014: 321-325 - 2013
- [j3]Waixi Liu, Shun-Zheng Yu, Ying Gao, Wei-Tao Wu:
Caching efficiency of information-centric networking. IET Networks 2(2): 53-62 (2013) - [j2]Ying Gao, Lingxi Peng, Fufang Li, Miao Liu, Waixi Liu:
Archimedean copula-based estimation of distribution algorithm for multi-objective optimisation. Int. J. Trust. Manag. Comput. Commun. 1(3/4): 200-211 (2013) - [c7]Ying Gao, Lingxi Peng, Fufang Li, Miao Liu, Waixi Liu:
Multi-objective opposition-based learning fully informed particle swarm optimizer with favour ranking. GrC 2013: 114-119 - [c6]Ying Gao, Waixi Liu:
Cloud Model-Based Multi-objective Estimation of Distribution Algorithm with Preference Order Ranking. INCoS 2013: 376-379 - [c5]Waixi Liu, Shun-Zheng Yu, Ping-Yu Zhu:
Multisource dissemination in content-centric networking. NOF 2013: 1-5 - [c4]Ying Gao, Lingxi Peng, Fufang Li, Miao Liu, Waixi Liu:
Opposition-Based Learning Fully Informed Particle Swarm Optimizer without Velocity. ICSI (1) 2013: 79-86 - 2012
- [j1]Waixi Liu, Yi-er Yan, Dong Tang, Run-hua Tang:
Self-Similarity and Heavy-Tail of ICMP Traffic. J. Comput. 7(12): 2948-2954 (2012) - 2011
- [c3]Xiao Hu, Changhong Liu, Waixi Liu:
Campus Monitoring Network Based on Convergence of 3G Mobile Communication and Zigbee. ICFCE 2011: 289-295
2000 – 2009
- 2008
- [c2]Xiao Hu, Ping Yu, Qun Yu, Waixi Liu, Jian Qin:
Classification of Surface EMG Signal Based on Energy Spectra Change. BMEI (2) 2008: 375-379 - [c1]Waixi Liu, Run-hua Tang, Hui Li, Xiao Hu:
Design of an IPv4/IPv6 Translator Based on SOPC Technology. ICNSC 2008: 786-790
Coauthor Index
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