Predicting wastewater sludge recycle performance based on fuzzy neural network. - Long Luo; Fei Luo 001; Li You Zhou; Hongtao Ye; Yuge Xu (ICNSC, 2011)

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

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

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

A Multi-model Fusion Framework based on Deep Learning for Sentiment Classification. - Fen Yang; Jia Zhu 003; Xuming Wang; Xingcheng Wu; Yong Tang 001; Long Luo (CSCWD, 2018)

Deadline-Guaranteed Point-to-Multipoint Bulk Transfers in Inter-Datacenter Networks. - Long Luo; Hongfang Yu; Zilong Ye (ICC, 2018)

Online Deadline-Aware Bulk Transfer Over Inter-Datacenter WANs. - Long Luo; Hongfang Yu; Zilong Ye; Xiaojiang Du (INFOCOM, 2018)

DaRTree: deadline-aware multicast transfers in reconfigurable wide-area networks. - Long Luo; Klaus-Tycho Foerster; Stefan Schmid 001; Hongfang Yu (IWQoS, 2019)

Simplifying Flow Updates in Software-Defined Networks Using Atoman. - Long Luo; Zonghang Li; Jingyu Wang 001; Hongfang Yu (IEEE Access, 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)

Low Complexity Hierarchical Scheduling for Diverse Datacenter Jobs. - Chaoqun You; Yang Wang 053; Shizhong Xu; Long Luo; Meng-Hsi Chen; Lemin Li (IEEE Commun. Lett., 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)

Migration Aware Virtual Network Function Placing and Routing in Uncertain Environment. - Yanghao Xie; Sheng Wang 006; Binbin Wang; Long Luo (GLOBECOM, 2020)

Virtualized Network Function Provisioning in Stochastic Cloud Environment. - Yanghao Xie; Binbin Wang; Sheng Wang 006; Long Luo (ICC, 2020)

SplitCast: Optimizing Multicast Flows in Reconfigurable Datacenter Networks. - Long Luo; Klaus-Tycho Foerster; Stefan Schmid 001; Hongfang Yu (INFOCOM, 2020)

OptFlow: A Flow-based Abstraction for Programmable Topologies. - Klaus-Tycho Foerster; Long Luo; Manya Ghobadi (SOSR, 2020)

Towards Yo-Yo attack mitigation in cloud auto-scaling mechanism. - Xiaoqiong Xu; Jin Li 002; Hongfang Yu; Long Luo; Xuetao Wei; Gang Sun 001 (Digit. Commun. Networks, 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)

Deadline-Aware Multicast Transfers in Software-Defined Optical Wide-Area Networks. - Long Luo; Klaus-Tycho Foerster; Stefan Schmid 001; Hongfang Yu (IEEE J. Sel. Areas Commun., 2020)

Inter-Datacenter Bulk Transfers: Trends and Challenges. - Long Luo; Hongfang Yu; Klaus-Tycho Foerster; Max Noormohammadpour; Stefan Schmid 001 (IEEE Netw., 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)

Correlation between Leakage Current and Humidity Degree of Insulator Contamination. - Long Luo; Peiheng Guo; Pengwen Qi; Wenbin Wang; Wei Wang (ICITEE, 2021)

Security-SLA-guaranteed service function chain deployment in cloud-fog computing networks. - Dongcheng Zhao; Long Luo; Hongfang Yu; Victor Chang 001; Rajkumar Buyya; Gang Sun 001 (Clust. 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)

Latency performance modeling and analysis for hyperledger fabric blockchain network. - Xiaoqiong Xu; Gang Sun 001; Long Luo; Huilong Cao; Hongfang Yu; Athanasios V. Vasilakos (Inf. Process. Manag., 2021)

Byzantine Resistant Secure Blockchained Federated Learning at the Edge. - Zonghang Li; Hongfang Yu; Tianyao Zhou; Long Luo; Mochan Fan; Zenglin Xu; Gang Sun 001 (IEEE Netw., 2021)

Toward Improving QoS and Energy Efficiency in Wireless Body Area Networks. - Gang Sun 001; Long Luo; Kai Wang 032; Hongfang Yu (IEEE Syst. J., 2021)

Image Recognition Technology with Its Application in Defect Detection and Diagnosis Analysis of Substation Equipment. - Long Luo; Rukuo Ma; Yuan Li; Fangnan Yang; Zhanfei Qiu (Sci. Program., 2021)

Parallel spiral search algorithm applied to integer motion estimation. - Longzhao Shi; Zhiyong Zhang; Long Luo; Xiuzhi Yang; Zhifeng Chen; Xiaoling Yang; Chen Fu (Signal Process. Image Commun., 2021)

TSEngine: Enable Efficient Communication Overlay in Distributed Machine Learning in WANs. - Huaman Zhou; Weibo Cai; Zonghang Li; Hongfang Yu; Ling Liu; Long Luo; Gang Sun 001 (IEEE Trans. Netw. Serv. Manag., 2021)

DeepCov: Coverage Guided Deep Learning Framework Fuzzing. - Jiawei Wu; Senyi Li; Junqiang Li; Long Luo; Hongfang Yu; Gang Sun 001 (DSC, 2022)

MMOS: Multi-Staged Mutation Operator Scheduling for Deep Learning Library Testing. - Junqiang Li; Senyi Li; Jiawei Wu; Long Luo; Yang Bai; Hongfang Yu (GLOBECOM, 2022)

vNetRadar: Lightweight and Network-Wide Traffic Measurement in Virtual Networks. - Tie Ma; Jin Zhang 001; Long Luo; Hongfang Yu; Gang Sun 001; Jian Sun 019 (GLOBECOM, 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)

Flexible and Efficient Multicast Transfers in Inter-Datacenter Networks. - Long Luo; Linjian Yu; Tie Ma; Hongfang Yu (IWQoS, 2022)

Joint Client Selection and Resource Allocation for Federated Learning in Mobile Edge Networks. - Long Luo; Qingqing Cai; Zonghang Li; Hongfang Yu (WCNC, 2022)

Blockchain-Enabled Two-Way Auction Mechanism for Electricity Trading in Internet of Electric Vehicles. - Long Luo; Jingcui Feng; Hongfang Yu; Gang Sun 001 (IEEE Internet Things J., 2022)

Optimizing multicast flows in high-bandwidth reconfigurable datacenter networks. - Long Luo; Klaus-Tycho Foerster; Stefan Schmid 001; Hongfang Yu (J. Netw. Comput. Appl., 2022)

Deadline-Aware Fast One-to-Many Bulk Transfers over Inter-Datacenter Networks. - Long Luo; Yijing Kong; Mohammad Noormohammadpour; Zilong Ye; Gang Sun 001; Hongfang Yu; Bo Li 001 (IEEE Trans. Cloud Comput., 2022)

Intersection-Based V2X Routing via Reinforcement Learning in Vehicular Ad Hoc Networks. - Long Luo; Li Sheng; Hongfang Yu; Gang Sun 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Game Theoretic Approach for Multipriority Data Transmission in 5G Vehicular Networks. - Gang Sun 001; Li Sheng; Long Luo; Hongfang Yu (IEEE Trans. Intell. Transp. Syst., 2022)

PSACCF: Prioritized Online Slice Admission Control Considering Fairness in 5G/B5G Networks. - Miao Dai; Long Luo; Jing Ren 002; Hongfang Yu; Gang Sun 001 (IEEE Trans. Netw. Sci. Eng., 2022)

Maximizing Aggregation Throughput for Distributed Training with Constrained In-Network Computing. - Long Luo; Shulin Yang; Hao Wu; Hongfang Yu; Bo Lei; Shuai Gao (ICC, 2023)

High Throughput Routing Path Selection for Payment Channel Network. - Qingqing Cai; Gang Sun 001; Hongfang Yu; Long Luo (ISCC, 2023)

Performance Analysis of Non-ideal Wireless PBFT Networks with mmWave and Terahertz Signals. - Haoxiang Luo; Xiangyue Yang; Hongfang Yu; Gang Sun 001; Shizhong Xu; Long Luo (MetaCom, 2023)

FedGSync: Jointly Optimized Weak Synchronization and Gradient Transmission for Fast Distributed Machine Learning in Heterogeneous WAN. - Huaman Zhou; Yihong He; Zhihao Zhang; Long Luo; Hongfang Yu; Gang Sun 001 (SMC, 2023)

HFedMS: Heterogeneous Federated Learning With Memorable Data Semantics in Industrial Metaverse. - Shenglai Zeng; Zonghang Li; Hongfang Yu; Zhihao Zhang; Long Luo; Bo Li 001; Dusit Niyato (IEEE Trans. Cloud Comput., 2023)

A Parallel Short-Term Power Load Forecasting Method Considering High-Level Elastic Loads. - Jizhe Dong; Long Luo; Yu Lu; Qi Zhang 085 (IEEE Trans. Instrum. Meas., 2023)

Cost-Efficient Scheduling of Multicast Transfers With Deadline Guarantees Across Edge Datacenters. - Long Luo; Qixuan Jin; Jingzhao Xie; Gang Sun 001; Hongfang Yu (IEEE Trans. Serv. Comput., 2023)

NBSync: Parallelism of Local Computing and Global Synchronization for Fast Distributed Machine Learning in WANs. - Huaman Zhou; Zonghang Li; Hongfang Yu; Long Luo; Gang Sun 001 (IEEE Trans. Serv. Comput., 2023)

Analysis and Optimization for Passive One-way Delay Measurement Tax in Container Networks. - Jingzhao Xie; Chongxi Ma; Hongfang Yu; Long Luo; Gang Sun 001 (CLOUD, 2024)

Accelerating Communication for Distributed Training with Collaborative In-network Aggregation. - Long Luo; Xixi Chen; Shulin Yang; Wenqi Fan; Hongfang Yu (ICCT, 2024)

Approximation Algorithms for Minimizing Congestion in Demand-Aware Networks. - Wenkai Dai; Michael Dinitz; Klaus-Tycho Foerster; Long Luo; Stefan Schmid 001 (INFOCOM, 2024)

Klonet: an Easy-to-Use and Scalable Platform for Computer Networks Education. - Tie Ma; Long Luo; Hongfang Yu; Xi Chen 026; Jingzhao Xie; Chongxi Ma; Yunhan Xie; Gang Sun 001; Tianxi Wei; Li Chen; Yanwei Xu; Nicholas Zhang (NSDI, 2024)

Demo: Klonet-sat: A Comprehensive Platform for Satellite Network Education. - Kecheng Gong; Yichen He; Yifan Feng; Hongfang Yu; Jingshan Duan; Jian Sun 019; Long Luo (SIGCOMM (Posters and Demos), 2024)

Poster: A Hybrid Virtual-Real Emulation Platform for Computer Network Education. - Jiahao Guo; Dongxu Wu; Chongxi Ma; Hongfang Yu; Gang Sun 001; Long Luo; Yanwei Xu; Nicholas Zhang (SIGCOMM (Posters and Demos), 2024)

A Survey of Network Protocol Fuzzing: Model, Techniques and Directions. - Shihao Jiang; Yu Zhang; Junqiang Li; Hongfang Yu; Long Luo; Gang Sun 001 (CoRR, 2024)

Joint Demand Forecasting and Network Slice Pricing for Profit Maximization in Network Slicing. - Qing Li 068; Yuhui Wang; Gang Sun 001; Long Luo; Hongfang Yu (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)

Short-Term Probabilistic Load Forecasting Using Quantile Regression Neural Network With Accumulated Hidden Layer Connection Structure. - Long Luo; Jizhe Dong; Weizhe Kong; Yu Lu; Qi Zhang 085 (IEEE Trans. Ind. Informatics, 2024)

Accelerating Geo-Distributed Machine Learning With Network-Aware Adaptive Tree and Auxiliary Route. - Zonghang Li; Wenjiao Feng; Weibo Cai; Hongfang Yu; Long Luo; Gang Sun 001; Hongyang Du; Dusit Niyato (IEEE/ACM Trans. Netw., 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)

A stage-related online incremental transfer learning-based remaining useful life prediction method of bearings. - Weisen Guo; Fang Li 005; Ping Zhang; Long Luo (Appl. Soft Comput., 2025)

Fine-grained forest net primary productivity monitoring: Software system integrating multisource data and smart optimization. - Weitao Zou; Long Luo; Fangyu Sun; Chao Li 066; Guangsheng Chen; Weipeng Jing 001 (Softw. Pract. Exp., 2025)

Deadline-Aware Online Job Scheduling for Distributed Training in Heterogeneous Clusters. - Yuchen Zhang; Long Luo; Gang Sun 001; Hongfang Yu; Bo Li 001 (IEEE Trans. Cloud Comput., 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)

Learning in Chaos: Efficient Autoscaling and Self-healing for Distributed Training at the Edge. - Wenjiao Feng; Rongxing Xiao; Zonghang Li; Hongfang Yu; Gang Sun 001; Long Luo; Mohsen Guizani; Qirong Ho (CoRR, 2025)

KlonetAI: Automating (Com)2Nets Management With Human Language Intents. - Qing Li 068; Yanxu Xiong; Zonghang Li; Chongxi Ma; Hongfang Yu; Gang Sun 001; Long Luo; Zhaofeng Zhang (IEEE Netw., 2025)

A Fragmentation-Aware Adaptive Bilevel Search Framework for Service Mapping in Computing Power Networks. - Jingzhao Xie; Zhenglian Li; Gang Sun 001; Long Luo; Hongfang Yu; Dusit Niyato (CoRR, 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)