An Efficient Data Dissemination Approach for Cloud Monitoring. - Xingjian Lu; Jianwei Yin; Ying Li 001; ShuiGuang Deng; Mingfa Zhu (ICSOC, 2012)

A synthetic bursty workload generation method for web 2.0 benchmark. - Jianwei Yin; Hanwei Chen; Xingjian Lu; Xinkui Zhao (CLUSTER, 2013)

Distance-aware virtual cluster performance optimization: A hadoop case study. - Xinkui Zhao; Jianwei Yin; Zuoning Chen; Xingjian Lu (CLUSTER, 2013)

An Approach for Bursty and Self-similar Workload Generation. - Xingjian Lu; Jianwei Yin; Hanwei Chen; Xinkui Zhao (WISE (2), 2013)

System resource utilization analysis and prediction for cloud based applications under bursty workloads. - Jianwei Yin; Xingjian Lu; Hanwei Chen; Xinkui Zhao; Neal N. Xiong (Inf. Sci., 2014)

Geographical Job Scheduling in Data Centers with Heterogeneous Demands and Servers. - Xingjian Lu; Fanxin Kong; Jianwei Yin; Xue Liu 001; Huiqun Yu; Guisheng Fan (CLOUD, 2015)

Distributed Optimal Datacenter Bandwidth Allocation for Dynamic Adaptive Video Streaming. - Fanxin Kong; Xingjian Lu; Mingyuan Xia 001; Xue Liu 001; Haibing Guan (ACM Multimedia, 2015)

JTangCSB: A Cloud Service Bus for Cloud and Enterprise Application Integration. - Jianwei Yin; Xingjian Lu; Calton Pu; Zhaohui Wu 001; Hanwei Chen (IEEE Internet Comput., 2015)

BURSE: A Bursty and Self-Similar Workload Generator for Cloud Computing. - Jianwei Yin; Xingjian Lu; Xinkui Zhao; Hanwei Chen; Xue Liu 001 (IEEE Trans. Parallel Distributed Syst., 2015)

ARDock: A Web-AR Based Real-Time Tangible Edugame for Molecular Docking. - Gaoqi He; Fei Sun; Dong Hu; Xingjian Lu; Yi Guo 009; Shuhua Lai; Zhigeng Pan (Edutainment, 2016)

JTangCMS: An efficient monitoring system for cloud platforms. - Xingjian Lu; Jianwei Yin; Neal N. Xiong; ShuiGuang Deng; Gaoqi He; Huiqun Yu (Inf. Sci., 2016)

Shadow obstacle model for realistic corner-turning behavior in crowd simulation. - Gaoqi He; Yi Jin; Qi Chen; Zhen Liu 002; Wenhui Yue; Xingjian Lu (Frontiers Inf. Technol. Electron. Eng., 2016)

A double-region learning algorithm for counting the number of pedestrians in subway surveillance videos. - Gaoqi He; Qi Chen; Dongxu Jiang; Xingjian Lu; Yubo Yuan 001 (Eng. Appl. Artif. Intell., 2017)

基于矩阵的工作流逻辑网模型的化简及验证 (Simplification and Verification of Matrix-based Workflow Logic Net Model). - Hong Zheng; Wenxuan Deng; Xiao Deng; Xingjian Lu (计算机科学, 2018)

GreenBDT: Renewable-aware scheduling of bulk data transfers for geo-distributed sustainable datacenters. - Xingjian Lu; Dongxu Jiang; Gaoqi He; Huiqun Yu (Sustain. Comput. Informatics Syst., 2018)

UHRP: Uncertainty-Based Pruning Method for Anonymized Data Linear Regression. - Kun Liu; Wenyan Liu 001; Junhong Cheng; Xingjian Lu (DASFAA Workshops, 2019)

Effective Media Traffic Classification Using Deep Learning. - Qing Lyu 005; Xingjian Lu (ICCDA, 2019)

ADMM-Based Decentralized Electric Vehicle Charging with Trip Duration Limits. - Gaoqi He; Zhifu Chai; Xingjian Lu; Fanxin Kong; Bing Sheng 001 (RTSS, 2019)

Physical-barrier detection based collective motion analysis. - Gaoqi He; Qi Chen; Dongxu Jiang; Yubo Yuan 001; Xingjian Lu (Frontiers Comput. Sci., 2019)

eSHAFTS: Integrated and graphical drug design software based on 3D molecular similarity. - Gaoqi He; Yiping Song; Wenhao Wei; Xia Wang; Xingjian Lu; Honglin Li 003 (J. Comput. Chem., 2019)

Distributed Data Center Bandwidth Allocation for Cloud-Based Streaming. - Fanxin Kong; Xingjian Lu; Xue Liu 001 (IEEE Trans. Sustain. Comput., 2019)

WFApprox: Approximate Window Functions Processing. - Chunbo Lin; Jingdong Li; Xiaoling Wang; Xingjian Lu; Ji Zhang (DASFAA (1), 2020)

POEM: Position Order Enhanced Model for Session-based Recommendation Service. - Mingyou Sun; Jiahao Yuan; Zihan Song 001; Yuanyuan Jin; Xingjian Lu; Xiaoling Wang (ICWS, 2020)

AQapprox: Aggregation Queries Approximation with Distribution-Aware Online Sampling. - Han Wu; Xiaoling Wang; Xingjian Lu (WISE (2), 2020)

Bulk Savings for Bulk Transfers: Minimizing the Energy-Cost for Geo-Distributed Data Centers. - Xingjian Lu; Fanxin Kong; Xue Liu 001; Jianwei Yin; Qiao Xiang; Huiqun Yu (IEEE Trans. Cloud Comput., 2020)

Large-scale Fake Click Detection for E-commerce Recommendation Systems. - Jingdong Li; Zhao Li 007; Jiaming Huang; Ji Zhang 001; Xiaoling Wang; Xingjian Lu; Jingren Zhou 001 (ICDE, 2021)

Incorporating Network Structure with Node Information for Semi-supervised Anomaly Detection on Attributed Graphs. - Bofeng Chen; Jingdong Li; Xingjian Lu; Chaofeng Sha; Xiaoling Wang; Ji Zhang (WISE (1), 2021)

Hybrid differential privacy based federated learning for Internet of Things. - Wenyan Liu 001; Junhong Cheng; Xiaoling Wang 004; Xingjian Lu; Jianwei Yin (J. Syst. Archit., 2022)

GPU-Accelerated Maximal Bicliques Mining Framework for Large E-commerce Networks. - Jingdong Li; Zhao Li 007; Xiaoling Wang; Xingjian Lu; Ji Zhang 001; Hongyang Chen (ISPA/BDCloud/SocialCom/SustainCom, 2023)

Integrating Staleness and Shapley Value Consistency for Efficient K-Asynchronous Federated Learning. - Yuhui Jiang; Xingjian Lu; Wei Mao; Ying Li 001 (IEEE Big Data, 2023)

ASPFL: Efficient Personalized Federated Learning for Edge Based on Adaptive Sparse Training. - Yuhui Jiang; Xingjian Lu; Haikun Zheng; Wei Mao (ICWS, 2023)

ACORN: Adaptive Compression-Reconstruction for Video Services in 5G-U Industrial IoT. - Jiale Lei; Peihao Yang; Linghe Kong; Yehan Ma; Xingjian Lu; Deyu Lin; Guihai Chen; E. Zhao (MSN, 2023)

Ultra-conformable Liquid Metal Particle Monolayer on Air/water Interface for Substrate-free E-tattoo. - Fali Li; Wenjuan Lei; Yuwei Wang; Xingjian Lu; Shengbin Li; Feng Xu; Zidong He; Jinyun Liu; Huali Yang; Yuanzhao Wu; Jie Shang; Yiwei Liu; et al. (CoRR, 2023)

AutoBar: Automatic Barrier Coverage Formation for Danger Keep Out Applications in Smart City. - Ying Shao; Qiwen Wang; Xingjian Lu; Zhanquan Wang; E. Zhao; Shuang Fang; Jianxiong Chen; Linghe Kong; Kayhan Zrar Ghafoor (Sensors, 2023)

ST-TPFL: Towards Spatio-Temporal Traffic Flow Prediction Based on Topology Protected Federated Learning. - Ying Lin; Xingjian Lu; Yibing Wang; Yuhui Jiang; Wei Mao (APWeb/WAIM (2), 2024)

CGAR: A Contrastive Graph Attention Residual Network for Enhanced Fake News Detection. - Chenchen Wang; Xingjian Lu; Xiaoling Wang; Chenhui Qi (APWeb/WAIM (3), 2024)

POP-FL: Towards Efficient Federated Learning on Edge Using Parallel Over-Parameterization. - Xingjian Lu; Haikun Zheng; Wenyan Liu 001; Yuhui Jiang; Hongyue Wu (IEEE Trans. Serv. Comput., 2024)

Joint Client Selection and Bandwidth Allocation of Wireless Federated Learning by Deep Reinforcement Learning. - Wei Mao; Xingjian Lu; Yuhui Jiang; Haikun Zheng (IEEE Trans. Serv. Comput., 2024)