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Shouxi Luo
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2020 – today
- 2024
- [j32]Shouxi Luo, Ke Li, Huanlai Xing, Pingzhi Fan:
Efficient and Flexible Component Placement for Serverless Computing. IEEE Syst. J. 18(2): 1104-1114 (2024) - [j31]Zhiwen Xiao, Huanlai Xing, Bowen Zhao, Rong Qu, Shouxi Luo, Penglin Dai, Ke Li, Zonghai Zhu:
Deep Contrastive Representation Learning With Self-Distillation. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 3-15 (2024) - [j30]Shouxi Luo, Renyi Wang, Huanlai Xing:
Efficient Inter-Datacenter AllReduce With Multiple Trees. IEEE Trans. Netw. Sci. Eng. 11(5): 4793-4806 (2024) - [j29]Zhiwen Xiao, Huanlai Xing, Rong Qu, Li Feng, Shouxi Luo, Penglin Dai, Bowen Zhao, Yuanshun Dai:
Densely Knowledge-Aware Network for Multivariate Time Series Classification. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2192-2204 (2024) - 2023
- [j28]Fuhong Song, Huanlai Xing, Xinhan Wang, Shouxi Luo, Penglin Dai, Zhiwen Xiao, Bowen Zhao:
Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing. IEEE Trans. Mob. Comput. 22(12): 7387-7405 (2023) - [j27]Ke Li, Kexun Chen, Shouxi Luo, Honghao Zhang, Pingzhi Fan:
UbiNN: A Communication Efficient Framework for Distributed Machine Learning in Edge Computing. IEEE Trans. Netw. Sci. Eng. 10(6): 3368-3383 (2023) - [j26]Shouxi Luo, Pingzhi Fan, Huanlai Xing, Hongfang Yu:
Meeting Coflow Deadlines in Data Center Networks With Policy-Based Selective Completion. IEEE/ACM Trans. Netw. 31(1): 178-191 (2023) - [j25]Xinhan Wang, Huanlai Xing, Fuhong Song, Shouxi Luo, Penglin Dai, Bowen Zhao:
On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-Agent Deep Reinforcement Learning Approach. IEEE Trans. Parallel Distributed Syst. 34(8): 2479-2497 (2023) - [c26]Huanlai Xing, Haolan Zhang, Xinhan Wang, Lexi Xu, Zhiwen Xiao, Bowen Zhao, Shouxi Luo, Li Feng, Yuanshun Dai:
A Multi-user Deep Semantic Communication System based on Federated Learning with Dynamic Model Aggregation. ICC Workshops 2023: 1612-1616 - [c25]Huanlai Xing, Huaming Ma, Zhiwen Xiao, Bowen Zhao, Jincheng Peng, Shouxi Luo, Li Feng, Lexi Xu:
FedDistillSC: A Distributed Semantic Communication System Based on Federated Distillation. ICCT 2023: 506-510 - [c24]Huanlai Xing, Huaming Ma, Zhiwen Xiao, Xinhan Wang, Bowen Zhao, Shouxi Luo, Li Feng, Lexi Xu:
On ECG Signal Classification: An NAS-empowered Semantic Communication System. TrustCom 2023: 470-476 - 2022
- [j24]Huanlai Xing, Haoxiang Qin, Shouxi Luo, Penglin Dai, Lexi Xu, Xinzhou Cheng:
Spectrum sensing in cognitive radio: A deep learning based model. Trans. Emerg. Telecommun. Technol. 33(1) (2022) - [j23]Fuhong Song, Huanlai Xing, Xinhan Wang, Shouxi Luo, Penglin Dai, Ke Li:
Offloading dependent tasks in multi-access edge computing: A multi-objective reinforcement learning approach. Future Gener. Comput. Syst. 128: 333-348 (2022) - [j22]Huanlai Xing, Zhiwen Xiao, Dawei Zhan, Shouxi Luo, Penglin Dai, Ke Li:
SelfMatch: Robust semisupervised time-series classification with self-distillation. Int. J. Intell. Syst. 37(11): 8583-8610 (2022) - [j21]Huanlai Xing, Jing Zhu, Rong Qu, Penglin Dai, Shouxi Luo, Muhammad Azhar Iqbal:
An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing. Swarm Evol. Comput. 68: 101012 (2022) - [j20]Yihong He, Weibo Cai, Pan Zhou, Gang Sun, Shouxi Luo, Hongfang Yu, Mohsen Guizani:
Beamer: Stage-Aware Coflow Scheduling to Accelerate Hyper-Parameter Tuning in Deep Learning Clusters. IEEE Trans. Netw. Serv. Manag. 19(2): 1083-1097 (2022) - [c23]Renyi Wang, Shouxi Luo, Ke Li, Huanlai Xing:
Efficient Partial Reduce Across Clouds. APNet 2022: 99-100 - [c22]Xue Liu, Shouxi Luo, Ke Li, Huanlai Xing:
Approximate Gradient Synchronization with AQGB. APNet 2022: 101-102 - [c21]Shouxi Luo, Pingzhi Fan, Huanlai Xing, Long Luo, Hongfang Yu:
Eliminating Communication Bottlenecks in Cross-Device Federated Learning with In-Network Processing at the Edge. ICC 2022: 4601-4606 - [c20]Shouxi Luo, Pingzhi Fan, Ke Li, Huanlai Xing, Long Luo, Hongfang Yu:
Fast Parameter Synchronization for Distributed Learning with Selective Multicast. ICC 2022: 4775-4780 - [c19]Zhen Liu, Shouxi Luo, Ke Li, Huanlai Xing:
Poster: Selective Reduce for Heterogeneous Distributed Training. ICNP 2022: 1-2 - [i5]Fuhong Song, Huanlai Xing, Xinhan Wang, Shouxi Luo, Penglin Dai, Zhiwen Xiao, Bowen Zhao:
Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing. CoRR abs/2202.12028 (2022) - [i4]Xinhan Wang, Huanlai Xing, Fuhong Song, Shouxi Luo, Penglin Dai, Bowen Zhao:
On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-agent Deep Reinforcement Learning Approach. CoRR abs/2205.09925 (2022) - 2021
- [j19]Xinhan Wang, Huanlai Xing, Dawei Zhan, Shouxi Luo, Penglin Dai, Muhammad Azhar Iqbal:
A two-stage approach for multicast-oriented virtual network function placement. Appl. Soft Comput. 112: 107798 (2021) - [j18]Huaman Zhou, Zonghang Li, Qingqing Cai, Hongfang Yu, Shouxi Luo, Long Luo, Gang Sun:
DGT: A contribution-aware differential gradient transmission mechanism for distributed machine learning. Future Gener. Comput. Syst. 121: 35-47 (2021) - [j17]Zhiwen Xiao, Xin Xu, Huanlai Xing, Shouxi Luo, Penglin Dai, Dawei Zhan:
RTFN: A robust temporal feature network for time series classification. Inf. Sci. 571: 65-86 (2021) - [j16]Shouxi Luo, Huanlai Xing, Pingzhi Fan:
Softwarized IP Multicast in the Cloud. IEEE Netw. 35(6): 233-239 (2021) - [c18]Long Luo, Yuchen Zhang, Qixuan Jin, Hongfang Yu, Gang Sun, Shouxi Luo:
Fast Synchronization of Model Updates for Collaborative Learning in Micro-Clouds. HPCC/DSS/SmartCity/DependSys 2021: 831-836 - [c17]Yunzhi Lin, Shouxi Luo:
Poster: Accelerate Cross-Device Federated Learning With Semi-Reliable Model Multicast Over The Air. ICNP 2021: 1-2 - 2020
- [j15]Ling Liu, Qixuan Jin, Dan Wang, Hongfang Yu, Gang Sun, Shouxi Luo:
PSNet: Reconfigurable network topology design for accelerating parameter server architecture based distributed machine learning. Future Gener. Comput. Syst. 106: 320-332 (2020) - [j14]Ling Liu, Hongfang Yu, Gang Sun, Long Luo, Qixuan Jin, Shouxi Luo:
Job scheduling for distributed machine learning in optical WAN. Future Gener. Comput. Syst. 112: 549-560 (2020) - [j13]Fuhong Song, Huanlai Xing, Shouxi Luo, Dawei Zhan, Penglin Dai, Rong Qu:
A Multiobjective Computation Offloading Algorithm for Mobile-Edge Computing. IEEE Internet Things J. 7(9): 8780-8799 (2020) - [j12]Shouxi Luo, Tie Ma, Wei Shan, Pingzhi Fan, Huanlai Xing, Hongfang Yu:
Efficient Multisource Data Delivery in Edge Cloud With Rateless Parallel Push. IEEE Internet Things J. 7(10): 10495-10510 (2020) - [j11]Pan Zhou, Xinshu He, Shouxi Luo, Hongfang Yu, Gang Sun:
JPAS: Job-progress-aware flow scheduling for deep learning clusters. J. Netw. Comput. Appl. 158: 102590 (2020) - [j10]Shouxi Luo, Hongfang Yu, Ke Li, Huanlai Xing:
Efficient File Dissemination in Data Center Networks With Priority-Based Adaptive Multicast. IEEE J. Sel. Areas Commun. 38(6): 1161-1175 (2020) - [j9]Ling Liu, Hongfang Yu, Gang Sun, Huaman Zhou, Zonghang Li, Shouxi Luo:
Online job scheduling for distributed machine learning in optical circuit switch networks. Knowl. Based Syst. 201-202: 106002 (2020) - [j8]Shouxi Luo, Huanlai Xing, Ke Li:
Near-Optimal Multicast Tree Construction in Leaf-Spine Data Center Networks. IEEE Syst. J. 14(2): 2581-2584 (2020) - [c16]Juan Chen, Zhiwen Xiao, Huanlai Xing, Penglin Dai, Shouxi Luo, Muhammad Azhar Iqbal:
STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN. ICC 2020: 1-6 - [c15]Shouxi Luo, Pingzhi Fan, Huanlai Xing, Hongfang Yu:
Selective Coflow Completion for Time-sensitive Distributed Applications with Poco. ICPP 2020: 64:1-64:10 - [i3]Juan Chen, Zhiwen Xiao, Huanlai Xing, Penglin Dai, Shouxi Luo, Muhammad Azhar Iqbal:
STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN. CoRR abs/2004.09783 (2020) - [i2]Zhiwen Xiao, Xin Xu, Huanlai Xing, Shouxi Luo, Penglin Dai, Dawei Zhan:
RTFN: A Robust Temporal Feature Network for Time Series Classification. CoRR abs/2011.11829 (2020)
2010 – 2019
- 2019
- [j7]Huanlai Xing, Xinyu Zhou, Xinhan Wang, Shouxi Luo, Penglin Dai, Ke Li, Hui Yang:
An integer encoding grey wolf optimizer for virtual network function placement. Appl. Soft Comput. 76: 575-594 (2019) - [j6]Pan Zhou, Hongfang Yu, Gang Sun, Long Luo, Shouxi Luo, Zilong Ye:
Flow-aware explicit congestion notification for datacenter networks. Clust. Comput. 22(4): 1431-1446 (2019) - [j5]Long Luo, Hongfang Yu, Shouxi Luo, Zilong Ye, Xiaojiang Du, Mohsen Guizani:
Scalable explicit path control in software-defined networks. J. Netw. Comput. Appl. 141: 86-103 (2019) - [j4]Shouxi Luo, Hongfang Yu, Long Luo, Lemin Li:
Customizable network update planning in SDN. J. Netw. Comput. Appl. 141: 104-115 (2019) - [c14]Huanlai Xing, Song Li, Penglin Dai, Shouxi Luo, Ke Li, Hui Yang:
A PBIL for delay constrained virtual network function placement with load balancing. ACM TUR-C 2019: 7:1-7:6 - 2017
- [c13]Weiran Ding, Hongfang Yu, Shouxi Luo:
Enhancing the reliability of services in NFV with the cost-efficient redundancy scheme. ICC 2017: 1-6 - [c12]Yangming Zhao, Shouxi Luo, Yi Wang, Sheng Wang:
Cotask scheduling in cloud computing. ICNP 2017: 1-6 - [c11]Long Luo, Hongfang Yu, Shouxi Luo:
Scalable path provision in software defined networks. INFOCOM Workshops 2017: 414-419 - [c10]Shouxi Luo, Hong-Fang Yu, Laurent Vanbever:
Swing State: Consistent Updates for Stateful and Programmable Data Planes. SOSR 2017: 115-121 - 2016
- [j3]Shouxi Luo, Hongfang Yu, Yangming Zhao, Sheng Wang, Shui Yu, Lemin Li:
Towards Practical and Near-Optimal Coflow Scheduling for Data Center Networks. IEEE Trans. Parallel Distributed Syst. 27(11): 3366-3380 (2016) - [c9]Yuanxiang Gao, Hong-Fang Yu, Shouxi Luo, Shui Yu:
Efficient and Low-Delay Task Scheduling for Big Data Clusters in a Theoretical Perspective. GLOBECOM 2016: 1-6 - [c8]Long Luo, Hong-Fang Yu, Shouxi Luo, Mingui Zhang, Shui Yu:
Achieving Fast and Lightweight SDN Updates with Segment Routing. GLOBECOM 2016: 1-6 - [c7]Yuanxiang Gao, Hong-Fang Yu, Shouxi Luo, Shui Yu:
Information-agnostic coflow scheduling with optimal demotion thresholds. ICC 2016: 1-6 - [c6]Shouxi Luo, Hong-Fang Yu, Lemin Li:
Decentralized deadline-aware coflow scheduling for datacenter networks. ICC 2016: 1-6 - [c5]Shouxi Luo, Hong-Fang Yu, Long Luo, Lemin Li:
Arrange your network updates as you wish. Networking 2016: 10-18 - [i1]Long Luo, Hong-Fang Yu, Shouxi Luo:
Scalable Fine-grained Path Control in Software Defined Networks. CoRR abs/1611.09011 (2016) - 2015
- [j2]Shouxi Luo, Hongfang Yu, Lemin Li:
Practical flow table aggregation in SDN. Comput. Networks 92: 72-88 (2015) - [j1]Shouxi Luo, Hong-Fang Yu, Lemin Li:
Consistency is Not Easy: How to Use Two-Phase Update for Wildcard Rules? IEEE Commun. Lett. 19(3): 347-350 (2015) - [c4]Shouxi Luo, Hongfang Yu, Yangming Zhao, Bin Wu, Sheng Wang, Lemin Li:
Minimizing average coflow completion time with decentralized scheduling. ICC 2015: 307-312 - [c3]Long Luo, Hongfang Yu, Shouxi Luo, Mingui Zhang:
Fast lossless traffic migration for SDN updates. ICC 2015: 5803-5808 - 2014
- [c2]Yangming Zhao, Sheng Wang, Shouxi Luo, Hongfang Yu, Shizhong Xu, Xiaoning Zhang:
Dynamic topology management in optical datacenter networks. GLOBECOM 2014: 2246-2251 - [c1]Shouxi Luo, Hongfang Yu, Lemin Li:
Fast incremental flow table aggregation in SDN. ICCCN 2014: 1-8
Coauthor Index
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last updated on 2024-10-01 20:43 CEST by the dblp team
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