Dynamic topology management in optical datacenter networks. - Yangming Zhao; Sheng Wang 006; Shouxi Luo; Hongfang Yu; Shizhong Xu; Xiaoning Zhang (GLOBECOM, 2014)

Fast incremental flow table aggregation in SDN. - Shouxi Luo; Hongfang Yu; Lemin Li (ICCCN, 2014)

Fast lossless traffic migration for SDN updates. - Long Luo; Hongfang Yu; Shouxi Luo; Mingui Zhang (ICC, 2015)

Minimizing average coflow completion time with decentralized scheduling. - Shouxi Luo; Hongfang Yu; Yangming Zhao; Bin Wu 002; Sheng Wang 006; Lemin Li (ICC, 2015)

Practical flow table aggregation in SDN. - Shouxi Luo; Hongfang Yu; Lemin Li (Comput. Networks, 2015)

Consistency is Not Easy: How to Use Two-Phase Update for Wildcard Rules? - Shouxi Luo; Hong-Fang Yu; Lemin Li (IEEE Commun. Lett., 2015)

Efficient and Low-Delay Task Scheduling for Big Data Clusters in a Theoretical Perspective. - Yuanxiang Gao; Hong-Fang Yu; Shouxi Luo; Shui Yu 001 (GLOBECOM, 2016)

Achieving Fast and Lightweight SDN Updates with Segment Routing. - Long Luo; Hong-Fang Yu; Shouxi Luo; Mingui Zhang; Shui Yu 001 (GLOBECOM, 2016)

Information-agnostic coflow scheduling with optimal demotion thresholds. - Yuanxiang Gao; Hong-Fang Yu; Shouxi Luo; Shui Yu 001 (ICC, 2016)

Decentralized deadline-aware coflow scheduling for datacenter networks. - Shouxi Luo; Hong-Fang Yu; Lemin Li (ICC, 2016)

Arrange your network updates as you wish. - Shouxi Luo; Hong-Fang Yu; Long Luo; Lemin Li (Networking, 2016)

Scalable Fine-grained Path Control in Software Defined Networks. - Long Luo; Hong-Fang Yu; Shouxi Luo (CoRR, 2016)

Towards Practical and Near-Optimal Coflow Scheduling for Data Center Networks. - Shouxi Luo; Hongfang Yu; Yangming Zhao; Sheng Wang 006; Shui Yu 001; Lemin Li (IEEE Trans. Parallel Distributed Syst., 2016)

Enhancing the reliability of services in NFV with the cost-efficient redundancy scheme. - Weiran Ding; Hongfang Yu; Shouxi Luo (ICC, 2017)

Cotask scheduling in cloud computing. - Yangming Zhao; Shouxi Luo; Yi Wang 021; Sheng Wang 006 (ICNP, 2017)

Scalable path provision in software defined networks. - Long Luo; Hongfang Yu; Shouxi Luo (INFOCOM Workshops, 2017)

Swing State: Consistent Updates for Stateful and Programmable Data Planes. - Shouxi Luo; Hong-Fang Yu; Laurent Vanbever (SOSR, 2017)

A PBIL for delay constrained virtual network function placement with load balancing. - Huanlai Xing; Song Li; Penglin Dai; Shouxi Luo; Ke Li 020; Hui Yang (ACM TUR-C, 2019)

An integer encoding grey wolf optimizer for virtual network function placement. - Huanlai Xing; Xinyu Zhou; Xinhan Wang; Shouxi Luo; Penglin Dai; Ke Li 020; Hui Yang (Appl. Soft Comput., 2019)

Flow-aware explicit congestion notification for datacenter networks. - Pan Zhou 003; Hongfang Yu; Gang Sun 001; Long Luo; Shouxi Luo; Zilong Ye (Clust. Comput., 2019)

Customizable network update planning in SDN. - Shouxi Luo; Hongfang Yu; Long Luo; Lemin Li (J. Netw. Comput. Appl., 2019)

Scalable explicit path control in software-defined networks. - Long Luo; Hongfang Yu; Shouxi Luo; Zilong Ye; Xiaojiang Du; Mohsen Guizani (J. Netw. Comput. Appl., 2019)

STDPG: A Spatio-Temporal Deterministic Policy Gradient Agent for Dynamic Routing in SDN. - Juan Chen; Zhiwen Xiao; Huanlai Xing; Penglin Dai; Shouxi Luo; Muhammad Azhar Iqbal (ICC, 2020)

Selective Coflow Completion for Time-sensitive Distributed Applications with Poco. - Shouxi Luo; Pingzhi Fan; Huanlai Xing; Hongfang Yu (ICPP, 2020)

PSNet: Reconfigurable network topology design for accelerating parameter server architecture based distributed machine learning. - Ling Liu; Qixuan Jin; Dan Wang 009; Hongfang Yu; Gang Sun 001; Shouxi Luo (Future Gener. Comput. Syst., 2020)

Job scheduling for distributed machine learning in optical WAN. - Ling Liu; Hongfang Yu; Gang Sun 001; Long Luo; Qixuan Jin; Shouxi Luo (Future Gener. Comput. Syst., 2020)

Efficient Multisource Data Delivery in Edge Cloud With Rateless Parallel Push. - Shouxi Luo; Tie Ma; Wei Shan; Pingzhi Fan; Huanlai Xing; Hongfang Yu (IEEE Internet Things J., 2020)

A Multiobjective Computation Offloading Algorithm for Mobile-Edge Computing. - Fuhong Song; Huanlai Xing; Shouxi Luo; Dawei Zhan; Penglin Dai; Rong Qu (IEEE Internet Things J., 2020)

JPAS: Job-progress-aware flow scheduling for deep learning clusters. - Pan Zhou 003; Xinshu He; Shouxi Luo; Hongfang Yu; Gang Sun 001 (J. Netw. Comput. Appl., 2020)

Efficient File Dissemination in Data Center Networks With Priority-Based Adaptive Multicast. - Shouxi Luo; Hongfang Yu; Ke Li 020; Huanlai Xing (IEEE J. Sel. Areas Commun., 2020)

Online job scheduling for distributed machine learning in optical circuit switch networks. - Ling Liu; Hongfang Yu; Gang Sun 001; Huaman Zhou; Zonghang Li; Shouxi Luo (Knowl. Based Syst., 2020)

Near-Optimal Multicast Tree Construction in Leaf-Spine Data Center Networks. - Shouxi Luo; Huanlai Xing; Ke Li 020 (IEEE Syst. J., 2020)

Fast Synchronization of Model Updates for Collaborative Learning in Micro-Clouds. - Long Luo; Yuchen Zhang; Qixuan Jin; Hongfang Yu; Gang Sun 001; Shouxi Luo (HPCC/DSS/SmartCity/DependSys, 2021)

Poster: Accelerate Cross-Device Federated Learning With Semi-Reliable Model Multicast Over The Air. - Yunzhi Lin; Shouxi Luo (ICNP, 2021)

A two-stage approach for multicast-oriented virtual network function placement. - Xinhan Wang; Huanlai Xing; Dawei Zhan; Shouxi Luo; Penglin Dai; Muhammad Azhar Iqbal (Appl. Soft Comput., 2021)

DGT: A contribution-aware differential gradient transmission mechanism for distributed machine learning. - Huaman Zhou; Zonghang Li; Qingqing Cai; Hongfang Yu; Shouxi Luo; Long Luo; Gang Sun 001 (Future Gener. Comput. Syst., 2021)

RTFN: A robust temporal feature network for time series classification. - Zhiwen Xiao; Xin Xu 009; Huanlai Xing; Shouxi Luo; Penglin Dai; Dawei Zhan (Inf. Sci., 2021)

Softwarized IP Multicast in the Cloud. - Shouxi Luo; Huanlai Xing; Pingzhi Fan (IEEE Netw., 2021)

Approximate Gradient Synchronization with AQGB. - Xue Liu; Shouxi Luo; Ke Li 020; Huanlai Xing (APNet, 2022)

Efficient Partial Reduce Across Clouds. - Renyi Wang; Shouxi Luo; Ke Li 020; Huanlai Xing (APNet, 2022)

Fast Parameter Synchronization for Distributed Learning with Selective Multicast. - Shouxi Luo; Pingzhi Fan; Ke Li 020; Huanlai Xing; Long Luo; Hongfang Yu (ICC, 2022)

Eliminating Communication Bottlenecks in Cross-Device Federated Learning with In-Network Processing at the Edge. - Shouxi Luo; Pingzhi Fan; Huanlai Xing; Long Luo; Hongfang Yu (ICC, 2022)

Poster: Selective Reduce for Heterogeneous Distributed Training. - Zhen Liu; Shouxi Luo; Ke Li 020; Huanlai Xing (ICNP, 2022)

Spectrum sensing in cognitive radio: A deep learning based model. - Huanlai Xing; Haoxiang Qin; Shouxi Luo; Penglin Dai; Lexi Xu; Xinzhou Cheng (Trans. Emerg. Telecommun. Technol., 2022)

Offloading dependent tasks in multi-access edge computing: A multi-objective reinforcement learning approach. - Fuhong Song; Huanlai Xing; Xinhan Wang; Shouxi Luo; Penglin Dai; Ke Li 020 (Future Gener. Comput. Syst., 2022)

SelfMatch: Robust semisupervised time-series classification with self-distillation. - Huanlai Xing; Zhiwen Xiao; Dawei Zhan; Shouxi Luo; Penglin Dai; Ke Li 020 (Int. J. Intell. Syst., 2022)

An ACO for energy-efficient and traffic-aware virtual machine placement in cloud computing. - Huanlai Xing; Jing Zhu; Rong Qu; Penglin Dai; Shouxi Luo; Muhammad Azhar Iqbal (Swarm Evol. Comput., 2022)

Beamer: Stage-Aware Coflow Scheduling to Accelerate Hyper-Parameter Tuning in Deep Learning Clusters. - Yihong He; Weibo Cai; Pan Zhou 003; Gang Sun 001; Shouxi Luo; Hongfang Yu; Mohsen Guizani (IEEE Trans. Netw. Serv. Manag., 2022)

A Multi-user Deep Semantic Communication System based on Federated Learning with Dynamic Model Aggregation. - Huanlai Xing; Haolan Zhang 002; Xinhan Wang; Lexi Xu; Zhiwen Xiao; Bowen Zhao 002; Shouxi Luo; Li Feng; Yuanshun Dai (ICC Workshops, 2023)

FedDistillSC: A Distributed Semantic Communication System Based on Federated Distillation. - Huanlai Xing; Huaming Ma; Zhiwen Xiao; Bowen Zhao 002; Jincheng Peng; Shouxi Luo; Li Feng; Lexi Xu (ICCT, 2023)

On ECG Signal Classification: An NAS-empowered Semantic Communication System. - Huanlai Xing; Huaming Ma; Zhiwen Xiao; Xinhan Wang; Bowen Zhao 002; Shouxi Luo; Li Feng; Lexi Xu (TrustCom, 2023)

UbiNN: A Communication Efficient Framework for Distributed Machine Learning in Edge Computing. - Ke Li 020; Kexun Chen; Shouxi Luo; Honghao Zhang; Pingzhi Fan (IEEE Trans. Netw. Sci. Eng., 2023)

Meeting Coflow Deadlines in Data Center Networks With Policy-Based Selective Completion. - Shouxi Luo; Pingzhi Fan; Huanlai Xing; Hongfang Yu (IEEE/ACM Trans. Netw., 2023)

On Jointly Optimizing Partial Offloading and SFC Mapping: A Cooperative Dual-Agent Deep Reinforcement Learning Approach. - Xinhan Wang; Huanlai Xing; Fuhong Song; Shouxi Luo; Penglin Dai; Bowen Zhao 002 (IEEE Trans. Parallel Distributed Syst., 2023)

Evolutionary Multi-Objective Reinforcement Learning Based Trajectory Control and Task Offloading in UAV-Assisted Mobile Edge Computing. - Fuhong Song; Huanlai Xing; Xinhan Wang; Shouxi Luo; Penglin Dai; Zhiwen Xiao; Bowen Zhao 002 (IEEE Trans. Mob. Comput., 2023)

Towards Optimal Topology-Aware AllReduce Synthesis. - Wenhao Lv; Shouxi Luo; Ke Li 020; Huanlai Xing (IWQoS, 2024)

Efficient Inter-Datacenter AllReduce With Multiple Trees. - Shouxi Luo; Renyi Wang; Huanlai Xing (IEEE Trans. Netw. Sci. Eng., 2024)

Communication-Efficient Federated Learning With Adaptive Aggregation for Heterogeneous Client-Edge-Cloud Network. - Long Luo; Chi Zhang; Hongfang Yu; Gang Sun 001; Shouxi Luo; Schahram Dustdar (IEEE Trans. Serv. Comput., 2024)

Deep Contrastive Representation Learning With Self-Distillation. - Zhiwen Xiao; Huanlai Xing; Bowen Zhao 002; Rong Qu; Shouxi Luo; Penglin Dai; Ke Li 020; Zonghai Zhu (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Densely Knowledge-Aware Network for Multivariate Time Series Classification. - Zhiwen Xiao; Huanlai Xing; Rong Qu; Li Feng; Shouxi Luo; Penglin Dai; Bowen Zhao 002; Yuanshun Dai (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Efficient and Flexible Component Placement for Serverless Computing. - Shouxi Luo; Ke Li 020; Huanlai Xing; Pingzhi Fan (IEEE Syst. J., 2024)

Releasing the Power of In-Network Aggregation With Aggregator-Aware Routing Optimization. - Shouxi Luo; Xiaoyu Yu; Ke Li 020; Huanlai Xing (IEEE/ACM Trans. Netw., 2024)

Efficient Cross-Cloud Partial Reduce With CREW. - Shouxi Luo; Renyi Wang; Ke Li 020; Huanlai Xing (IEEE Trans. Parallel Distributed Syst., 2024)

Energy-Efficient Hierarchical Collaborative Learning Over LEO Satellite Constellations. - Long Luo; Chi Zhang; Hongfang Yu; Zonghang Li; Gang Sun 001; Shouxi Luo (IEEE J. Sel. Areas Commun., 2024)

Adversarial Reinforcement Learning Based Data Poisoning Attacks Defense for Task-Oriented Multi-User Semantic Communication. - Jincheng Peng; Huanlai Xing; Lexi Xu; Shouxi Luo; Penglin Dai; Li Feng; Jing Song; Bowen Zhao 002; Zhiwen Xiao (IEEE Trans. Mob. Comput., 2024)

Checkflow: Low-Overhead Checkpointing for Deep Learning Training. - Hangyu Liu; Shouxi Luo; Ke Li 020; Huanlai Xing; Bo Peng 006 (IEEE Comput. Archit. Lett., 2025)

Efficient Parameter Synchronization for Peer-to-Peer Distributed Learning With Selective Multicast. - Shouxi Luo; Pingzhi Fan; Ke Li 020; Huanlai Xing; Long Luo; Hongfang Yu (IEEE Trans. Serv. Comput., 2025)

CapMatch: Semi-Supervised Contrastive Transformer Capsule With Feature-Based Knowledge Distillation for Human Activity Recognition. - Zhiwen Xiao; Huagang Tong; Rong Qu; Huanlai Xing; Shouxi Luo; Zonghai Zhu; Fuhong Song; Li Feng (IEEE Trans. Neural Networks Learn. Syst., 2025)

Domain-Specific Transport Protocols for In-Network Processing at the Edge: A Case Study of Accelerating Model Synchronization. - Shouxi Luo; Peidong Zhang; Xin Song; Pingzhi Fan; Huanlai Xing; Long Luo; Hongfang Yu (IEEE Trans. Mob. Comput., 2025)

Approximate Gradient Synchronization With Adaptive Quantized Gradient Broadcast. - Shouxi Luo; Xue Liu; Ke Li 020; Huanlai Xing; Xu Zhang (Future Gener. Comput. Syst., 2026)