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• affiliation:Technical University of Denmark, Kgs. Lyngby, Denmark

• Xiufeng Liu —disambiguation page
• Xiufeng Liu0002 — Chinese Academy of Science, Changchun Institute of Optics, Fine Mechanics, and Physics, Changchun, China
• Xiufeng Liu0003 —Huazhong University of Science and Technology, Wuhan, China(and 1 more)
• Xiufeng Liu0004 — University at Buffalo-SUNY, Buffalo, NY, USA
• Xiufeng Liu0005 — Hefei University of Technology, Hefei, China

• 2026
• 
  [j49]
  Mengyao Wen,Xiufeng Liu,Xin Ning,Cong Liu,Xiaomin Chen,Jiawei Nian,Long Cheng:
  Deep reinforcement learning for energy-efficient workflow scheduling in edge computing.Comput. Networks274:111790 (2026)
• 
  [j48]
  Ruyu Liu,Feng Xiao,Jianhua Zhang,Xiufeng Liu,Xu Cheng,Shengyong Chen,Bo Sun,Houxiang Zhang:
  Multi-branch perturbation learning with constraint simulation for semi-supervised semantic segmentation.Pattern Recognit.171:112200 (2026)
• 
  [j47]
  Wenjie Wang,Mengna Liu,Yunke Li,Xu Cheng,Xiufeng Liu,Shengyong Chen:
  Learning Domain-Generalizable Discriminative Representations by Mixing Euclidean Dynamics and Hilbert Statistics for Wind Turbine Blade Icing Detection.IEEE Trans. Ind. Informatics22(2):892-902 (2026)
• 2025
• 
  [b1]
  Xu Cheng,Fan Shi,Xiufeng Liu,Shengyong Chen:
  Computational Methods for Blade Icing Detection of Wind Turbines.Springer2025, ISBN978-981-96-6762-8, pp. 1-229
• 
  [j46]
  Rongfei Ma,Yuhao Ma,Xiufeng Liu:
  Time series anomaly detection via temporal relationship graphs and adaptive smoothing.Appl. Soft Comput.179:113298 (2025)
• 
  [j45]
  Renfang Wang,Jingtong Wu,Xu Cheng,Xiufeng Liu,Hong Qiu:
  Enhancing spatiotemporal wind power forecasting with meta-learning in data-scarce environments.Eng. Appl. Artif. Intell.156:111121 (2025)
• 
  [j44]
  Binbin Li,Xiufeng Liu,Rongfei Ma,Yuhao Ma:
  Learning interpretable dynamics: Influence-based clustering of energy consumption time series.Neurocomputing657:131578 (2025)
• 
  [j43]
  Guoqian Jiang,Kaili Shen,Xiufeng Liu,Xu Cheng,Ping Xie:
  Hierarchical Spatiotemporal Graph Network for Fault Diagnosis of Industrial Processes.IEEE Internet Things J.12(3):3043-3054 (2025)
• 
  [j42]
  Lele Qi,Mengna Liu,Xu Cheng,Chen Jia,Xiufeng Liu,Shengyong Chen:
  One Stone, Three Birds: Prototype-Enhanced Federated Learning for Mitigating Data Scarcity, Imbalance, and Heterogeneity in Blade Icing Detection Across Distributed Wind Farms.IEEE Internet Things J.12(20):43559-43570 (2025)
• 
  [j41]
  Yifan Yin,Xiufeng Liu,Xu Cheng,Yusen Liu,Tianqing Zhu,Huan Huo:
  SpatialIE: Towards adaptive floating waste detection in unpredictable weather.Knowl. Based Syst.323:113621 (2025)
• 
  [j40]
  Renfang Wang,Kun Yang,Feng Wang,Hong Qiu,Yingying Huang,Xiufeng Liu:
  Semantic Change Detection of Bitemporal Remote Sensing Images Using Frequency Feature Enhancement.IEEE Geosci. Remote. Sens. Lett.22:1-5 (2025)
• 
  [j39]
  Renfang Wang,Jingtong Wu,Xu Cheng,Xiufeng Liu,Hong Qiu:
  Adaptive expert fusion model for online wind power prediction.Neural Networks184:107022 (2025)
• 
  [j38]
  Senzhen Wu,Zhijin Wang,Xiufeng Liu,Yuan Zhao,Yue Hu,Yaohui Huang:
  Temporal structure-preserving transformer for industrial load forecasting.Neural Networks192:107887 (2025)
• 
  [j37]
  Ruyu Liu,Yao Qin,Yihao Ying,Xiufeng Liu,Haoyu Zhang,Weiguo Sheng,Jianhua Zhang,Shengyong Chen:
  Distortion-Aware Outdoor Panoramic Depth Estimation via Local-Global Fusion.IEEE Trans. Ind. Informatics21(11):8802-8811 (2025)
• 
  [j36]
  Zhichao Xu,Mengna Liu,Tianjiao Li,Xiufeng Liu,Xu Cheng,Shengyong Chen:
  Leveragable Adaptive Multi-Scale Features and Learnable Prototypes for Imbalanced Sea State Estimation Based on Ship Motion Data.IEEE Trans. Intell. Transp. Syst.26(8):11388-11403 (2025)
• 
  [j35]
  Xu Cheng,Fan Shi,Yao Zhang,Huan Li,Xiufeng Liu,Shengyong Chen:
  FRAME: Feature Rectification for Class Imbalance Learning.IEEE Trans. Knowl. Data Eng.37(3):1167-1181 (2025)
• 
  [j34]
  Yaohui Huang,Senzhen Wu,Zhijin Wang,Xiufeng Liu,Chendan Li,Yue Hu:
  Causality-Aware Multi-Graph Convolutional Networks With Critical Node Dynamics for Electric Vehicle Charging Station Load Forecasting.IEEE Trans. Smart Grid16(4):3210-3225 (2025)
• 
  [c46]
  Yifan Yin,Xiufeng Liu,Xu Cheng,Hua Zuo,Ling Chen,Tianqing Zhu,Huan Huo:
  TrashTracer: Enabling Efficient Real-Time Detection of Underwater Marine Debris.AI (2)2025:255-266
• 
  [c45]
  Qia Zhang,Renfang Wang,Hong Qiu,Xiufeng Liu,Xu Cheng:
  SPDM: Spatiotemporal-Periodic Diffusion Model for Multivariate Time Series Imputation.CSCWD2025:776-781
• 
  [c44]
  Zhanneng Zeng,Renfang Wang,Hong Qiu,Xiufeng Liu,Xu Cheng:
  A Correlation-Aware Diffusion Model for Multivariate Time Series Anomaly Detection with Missing Values.CSCWD2025:813-818
• 
  [c43]
  Jie He,Lin Wang,Jiajia Wang,Ruyu Liu,Haoyu Zhang,Bo Sun,Xiufeng Liu,Chaochao Wang,Xianchao Zhang:
  Multi-Stage Knowledge Distillation for Progressive Image Deblurring in Teacher-Student Networks.CSCWD2025:1800-1805
• 
  [c42]
  Hui Liu,Chen Jia,Xu Cheng,Xiufeng Liu,Fan Shi:
  Serial Local Patterns and Irregular Dependencies Extract and Cascaded Fusion Network for Structural Crack Segmentation.ICASSP2025:1-5
• 
  [c41]
  Zhiyong Zhang,Ruyu Liu,Chaochao Wang,Xianchao Zhang,Jianhua Zhang,Xiufeng Liu:
  SPRGAN: Streamlined Progressive Refinement for Adversarial Point Cloud Video Upsampling.ICASSP2025:1-5
• 
  [c40]
  Zhiyong Zhang,Yunrui Zhu,Ruyu Liu,Xu Cheng,Jianhua Zhang,Xiufeng Liu:
  Efficient Large-Scale Scene Point Cloud Upsampling with Implicit Neural Networks and Spatial Hashing.ICASSP2025:1-5
• 
  [c39]
  Jiaming Lu,Yunrui Zhu,Ruyu Liu,Xu Cheng,Jianhua Zhang,Bo Sun,Xiufeng Liu:
  Mamba-SLAM: Enhancing Neural Implicit SLAM with Uncertainty and Mamba.ICME2025:1-6
• 
  [c38]
  Xin Qin,Mengna Liu,Xu Cheng,Xiufeng Liu,Fan Shi,Jianhua Zhang,Shengyong Chen:
  Multi-Scale Convolutional Networks with Class-Normalized Logit Clipping for Robust Sea State Estimation from Noisy Ship Motion Data.ICRA2025:6997-7003
• 
  [c37]
  Yusen Liu,Yong Wang,Yifan Yin,Tianqing Zhu,Xiufeng Liu,Huan Huo:
  Causal Discovery with Inverted Self-attention for Multivariate Time Series.PAKDD (4)2025:167-179
• 
  [c36]
  Zhiyong Zhang,Ruyu Liu,Xiufeng Liu,Yunrui Zhu,Yanyan Yang,Chaochao Wang,Jianhua Zhang:
  PULLM: A Multimodal Framework for Enhanced 3D Point Cloud Upsampling Using Large Language Models.SAC2025:1223-1230
• 
  [i16]
  Lele Qi,Mengna Liu,Xu Cheng,Fan Shi,Xiufeng Liu,Shengyong Chen:
  Prototype-based Heterogeneous Federated Learning for Blade Icing Detection in Wind Turbines with Class Imbalanced Data.CoRRabs/2503.08325 (2025)
• 
  [i15]
  Zhijin Wang,Senzhen Wu,Yue Hu,Xiufeng Liu:
  pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data.CoRRabs/2508.18891 (2025)
• 
  [i14]
  Ruyu Liu,Dongxu Zhuang,Jianhua Zhang,Arega Getaneh Abate,Per Sieverts Nielsen,Ben Wang,Xiufeng Liu:
  Solar PV Installation Potential Assessment on Building Facades Based on Vision and Language Foundation Models.CoRRabs/2510.00797 (2025)
• 
  [i13]
  Arega Getaneh Abate,Xiufeng Liu,Ruyu Liu,Xiaobing Zhang:
  Feature-driven reinforcement learning for photovoltaic in continuous intraday trading.CoRRabs/2510.16021 (2025)
• 2024
• 
  [j33]
  Yuan Zhao,Weiguo Zhang,Xiufeng Liu:
  Grid search with a weighted error function: Hyper-parameter optimization for financial time series forecasting.Appl. Soft Comput.154:111362 (2024)
• 
  [j32]
  Yuan Zhao,Weiguo Zhang,Xue Gong,Xiufeng Liu:
  Carbon futures return forecasting: A novel method based on decomposition-ensemble strategy and Markov process.Appl. Soft Comput.163:111869 (2024)
• 
  [j31]
  Jingyi Zhu,Xiufeng Liu:
  An integrated intrusion detection framework based on subspace clustering and ensemble learning.Comput. Electr. Eng.115:109113 (2024)
• 
  [j30]
  Yuan Zhao,Yaohui Huang,Zhijin Wang,Xiufeng Liu:
  Carbon futures price forecasting based on feature selection.Eng. Appl. Artif. Intell.135:108646 (2024)
• 
  [j29]
  Yuan Zhao,Yaohui Huang,Zhijin Wang,Xiufeng Liu:
  A new feature selection method based on importance measures for crude oil return forecasting.Neurocomputing581:127470 (2024)
• 
  [j28]
  Guoqian Jiang,Kai Zhao,Xiufeng Liu,Xu Cheng,Ping Xie:
  A Federated Learning Framework for Cloud-Edge Collaborative Fault Diagnosis of Wind Turbines.IEEE Internet Things J.11(13):23170-23185 (2024)
• 
  [j27]
  Chen Jia,Fan Shi,Xiufeng Liu,Xu Cheng,Zixuan Zhang,Meng Zhao,Shengyong Chen:
  Prompt Learning for Light Field Semantic Segmentation in the Consumer-Centric Internet of Intelligent Computing Things.IEEE Trans. Consumer Electron.70(3):5493-5505 (2024)
• 
  [j26]
  Yifan Yin,Xu Cheng,Fan Shi,Xiufeng Liu,Huan Huo,Shengyong Chen:
  High-Order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-Based Small Ship Detection.IEEE Trans. Geosci. Remote. Sens.62:1-16 (2024)
• 
  [j25]
  Renfang Wang,Hong Qiu,Guoqian Jiang,Xiufeng Liu,Xu Cheng:
  Class-Imbalanced Spatial-Temporal Feature Learning for Blade Icing Recognition of Wind Turbine.IEEE Trans. Ind. Informatics20(8):10249-10258 (2024)
• 
  [j24]
  Xu Cheng,Tian He,Fan Shi,Meng Zhao,Xiufeng Liu,Shengyong Chen:
  Selective Feature Fusion and Irregular-Aware Network for Pavement Crack Detection.IEEE Trans. Intell. Transp. Syst.25(5):3445-3456 (2024)
• 
  [j23]
  Mengna Liu,Xu Cheng,Fan Shi,Xiufeng Liu,Hongning Dai,Shengyong Chen:
  A Prototype-Empowered Kernel-Varying Convolutional Model for Imbalanced Sea State Estimation in IoT-Enabled Autonomous Ship.IEEE Trans. Sustain. Comput.9(6):862-873 (2024)
• 
  [c35]
  Nadeem Iftikhar,Yi-Chen Lin,Xiufeng Liu,Finn Ebertsen Nordbjerg:
  Online Machine Learning for Adaptive Ballast Water Management.DATA2024:27-38
• 
  [c34]
  Yue Hu,Senzhen Wu,Yu Chen,Xinhao He,Zihao Xie,Zhijin Wang,Xiufeng Liu,Yonggang Fu:
  CTRL: Collaborative Temporal Representation Learning for Wind Power Forecasting.EITCE2024:1219-1227
• 
  [c33]
  Dong Xiang,Xu Cheng,Sizhuo Chen,Mengna Liu,Fan Shi,Xiufeng Liu:
  Multiscale Wavelet-Driven Transformerfor Blade Icing Detection.FAIML2024:204-210
• 
  [c32]
  Per Sieverts Nielsen,Ramazan Sari,Xiufeng Liu,Xiaobing Zhang,Daniel Møller Sneum:
  Upskilling the Workforce for Green Transition.iSPEC2024:488-493
• 
  [c31]
  Ruyu Liu,Zhengzhe Liu,Haoyu Zhang,Guodao Zhang,Jianhua Zhang,Bo Sun,Weiguo Sheng,Xiufeng Liu,Yaochu Jin:
  ColVO: Colonoscopic Visual Odometry Considering Geometric and Photometric Consistency.ACM Multimedia2024:8100-8109
• 
  [i12]
  Mengna Liu,Dong Xiang,Xu Cheng,Xiufeng Liu,Dalin Zhang,Shengyong Chen,Christian S. Jensen:
  Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data.CoRRabs/2402.09434 (2024)
• 
  [i11]
  Pengshuai Yao,Mengna Liu,Xu Cheng,Fan Shi,Huan Li,Xiufeng Liu,Shengyong Chen:
  An End-to-End Model for Time Series Classification In the Presence of Missing Values.CoRRabs/2408.05849 (2024)
• 2023
• 
  [j22]
  Samiya Khan,Xiufeng Liu,Syed Arshad Ali,Mansaf Alam:
  Chapter Two - Bivariate, cluster, and suitability analysis of NoSQL solutions for big graph applications.Adv. Comput.128:39-105 (2023)
• 
  [j21]
  Marco Biemann,Philipp Andreas Gunkel,Fabian Scheller,Lizhen Huang,Xiufeng Liu:
  Data Center HVAC Control Harnessing Flexibility Potential via Real-Time Pricing Cost Optimization Using Reinforcement Learning.IEEE Internet Things J.10(15):13876-13894 (2023)
• 
  [j20]
  Yongping Liu,Lizhen Huang,Xiufeng Liu,Guomin Ji,Xu Cheng,Erling Onstein:
  A late-mover genetic algorithm for resource-constrained project-scheduling problems.Inf. Sci.642:119164 (2023)
• 
  [j19]
  Renfang Wang,Hong Qiu,Xu Cheng,Xiufeng Liu:
  Anomaly detection with a container-based stream processing framework for Industrial Internet of Things.J. Ind. Inf. Integr.35:100507 (2023)
• 
  [j18]
  Jieyang Peng,Andreas Kimmig,Dongkun Wang,Zhibin Niu,Fan Zhi,Jiahai Wang,Xiufeng Liu,Jivka Ovtcharova:
  A systematic review of data-driven approaches to fault diagnosis and early warning.J. Intell. Manuf.34(8):3277-3304 (2023)
• 
  [j17]
  Renfang Wang,Hucheng Wu,Hong Qiu,Feng Wang,Xiufeng Liu,Xu Cheng:
  A Difference Enhanced Neural Network for Semantic Change Detection of Remote Sensing Images.IEEE Geosci. Remote. Sens. Lett.20:1-5 (2023)
• 
  [j16]
  Ezhilarasi P.,Ramesh L.,Xiufeng Liu,Jens Bo Holm-Nielsen:
  Smart Meter Synthetic Data Generator development in python using FBProphet.Softw. Impacts15:100468 (2023)
• 
  [j15]
  Dongtian Zhang,Weiwei Tian,Xu Cheng,Fan Shi,Hong Qiu,Xiufeng Liu,Shengyong Chen:
  FedBIP: A Federated Learning-Based Model for Wind Turbine Blade Icing Prediction.IEEE Trans. Instrum. Meas.72:1-11 (2023)
• 
  [j14]
  Xu Cheng,Kexin Wang,Xiufeng Liu,Qian Yu,Fan Shi,Zhengru Ren,Shengyong Chen:
  A Novel Class-Imbalanced Ship Motion Data-Based Cross-Scale Model for Sea State Estimation.IEEE Trans. Intell. Transp. Syst.24(12):15907-15919 (2023)
• 
  [c30]
  Hong Qiu,Heng Jin,Renfang Wang,Xiufeng Liu,Guang Gao:
  Tensor Nuclear Norm Based Matrix Regression Based Projections for Feature Extraction of Hyperspectral Images.CSCWD2023:1037-1042
• 
  [c29]
  Renfang Wang,Zijian Yang,Hong Qiu,Xiufeng Liu,Dun Wu:
  Spatial and Channel Exchange based on EfficientNet for Detecting Changes of Remote Sensing Images.CSCWD2023:1595-1600
• 
  [c28]
  Xiufeng Liu,Xu Cheng,Yanyan Yang,Huan Huo,Yongping Liu,Per Sieverts Nielsen:
  Understanding crowd energy consumption behaviors.EDBT2023:799-802
• 
  [c27]
  Jiacheng Gao,Xu Cheng,Xiufeng Liu,Fan Shi,Meng Zhao,Shengyong Chen:
  Feature Enhancement Based Multi-Feature Fusion Network for Video Anomaly Detection in Offshore Surbeillance.ICMLC2023:550-557
• 
  [c26]
  Ting Huang,Xike Xie,Xiufeng Liu:
  Multi-level Correlation Matching for Legal Text Similarity Modeling with Multiple Examples.WISE2023:621-632
• 
  [i10]
  Yifan Yin,Xu Cheng,Fan Shi,Xiufeng Liu,Huan Huo,Shengyong Chen:
  High-order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-based Small Ship Detection.CoRRabs/2304.03812 (2023)
• 2022
• 
  [j13]
  Xu Cheng,Fan Shi,Yongping Liu,Jiehan Zhou,Xiufeng Liu,Lizhen Huang:
  A Class-Imbalanced Heterogeneous Federated Learning Model for Detecting Icing on Wind Turbine Blades.IEEE Trans. Ind. Informatics18(12):8487-8497 (2022)
• 
  [j12]
  Xu Cheng,Fan Shi,Xiufeng Liu,Meng Zhao,Shengyong Chen:
  A Novel Deep Class-Imbalanced Semisupervised Model for Wind Turbine Blade Icing Detection.IEEE Trans. Neural Networks Learn. Syst.33(6):2558-2570 (2022)
• 
  [i9]
  Wenjing Dai,Xiufeng Liu,Alfred Heller,Per Sieverts Nielsen:
  Smart Meter Data Anomaly Detection using Variational Recurrent Autoencoders with Attention.CoRRabs/2206.07519 (2022)
• 
  [i8]
  Xu Cheng,Chendan Li,Xiufeng Liu:
  A Review of Federated Learning in Energy Systems.CoRRabs/2208.10941 (2022)
• 2021
• 
  [j11]
  Yi Wang,Imane Lahmam Bennani,Xiufeng Liu,Mingyang Sun,Yao Zhou:
  Electricity Consumer Characteristics Identification: A Federated Learning Approach.IEEE Trans. Smart Grid12(4):3637-3647 (2021)
• 
  [c25]
  Weiping Qu,Xiufeng Liu,Stefan Dessloch:
  A Workload-Aware Change Data Capture Framework for Data Warehousing.DaWaK2021:222-231
• 
  [c24]
  Wenjing Dai,Xiufeng Liu,Alfred Heller,Per Sieverts Nielsen:
  Smart Meter Data Anomaly Detection Using Variational Recurrent Autoencoders with Attention.INTAP2021:311-324
• 
  [c23]
  Marco Biemann,Xiufeng Liu,Yifeng Zeng,Lizhen Huang:
  Addressing partial observability in reinforcement learning for energy management.BuildSys2021:324-328
• 2020
• 
  [j10]
  Yanling Zhou,Yanyan Yang,Han Liu,Xiufeng Liu,Nick Savage:
  Deep Learning Based Fusion Approach for Hate Speech Detection.IEEE Access8:128923-128929 (2020)
• 
  [c22]
  Xiufeng Liu,Zhibin Niu,Yanyan Yang,Junqi Wu,Dawei Cheng,Xin Wang:
  VAP: A Visual Analysis Tool for Energy Consumption Spatio-temporal Pattern Discovery.EDBT2020:579-582
• 
  [c21]
  Xiufeng Liu,Zhichen Lai,Xin Wang,Lizhen Huang,Per Sieverts Nielsen:
  A Contextual Anomaly Detection Framework for Energy Smart Meter Data Stream.ICONIP (5)2020:733-742
• 
  [i7]
  Junqi Wu,Zhibin Niu,Jing Wu,Xiufeng Liu,Jiawan Zhang:
  E³: Visual Exploration of Spatiotemporal Energy Demand.CoRRabs/2006.09487 (2020)
• 
  [i6]
  Xiufeng Liu,Rongling Li,Yi Wang,Per Sieverts Nielsen:
  SEGSys: A mapping system for segmentation analysis in energy.CoRRabs/2012.06446 (2020)

• 2019
• 
  [j9]
  Xiufeng Liu,Nadeem Iftikhar,Huan Huo,Rongling Li,Per Sieverts Nielsen:
  Two approaches for synthesizing scalable residential energy consumption data.Future Gener. Comput. Syst.95:586-600 (2019)
• 
  [c20]
  Xiufeng Liu,Simon Bolwig,Per Sieverts Nielsen:
  SmartM: A Non-intrusive Load Monitoring Platform.BIS (Workshops)2019:424-434
• 
  [i5]
  Samiya Khan,Xiufeng Liu,Syed Arshad Ali,Mansaf Alam:
  Storage Solutions for Big Data Systems: A Qualitative Study and Comparison.CoRRabs/1904.11498 (2019)
• 
  [i4]
  Samiya Khan,Xiufeng Liu,Mansaf Alam:
  A Spark ML driven preprocessing approach for deep learning based scholarly data applications.CoRRabs/1911.07763 (2019)
• 
  [i3]
  Samiya Khan,Xiufeng Liu,Syed Arshad Ali,Mansaf Alam:
  Bivariate, Cluster and Suitability Analysis of NoSQL Solutions for Different Application Areas.CoRRabs/1911.11181 (2019)
• 2018
• 
  [j8]
  Xiufeng Liu,Per Sieverts Nielsen:
  Scalable prediction-based online anomaly detection for smart meter data.Inf. Syst.77:34-47 (2018)
• 
  [c19]
  Liang Liu,Huan Huo,Xiufeng Liu,Vasile Palade,Dunlu Peng,Qingkui Chen:
  Recognizing Textual Entailment with Attentive Reading and Writing Operations.DASFAA (1)2018:847-860
• 
  [c18]
  Dirk Ahlers,Frank Alexander Kraemer,Anders Eivind Braten,Xiufeng Liu,Fredrik Anthonisen,Patrick Driscoll,John Krogstie:
  Analysis and Visualization of Urban Emission Measurements in Smart Cities.EDBT2018:698-701
• 2017
• 
  [j7]
  Samiya Khan,Xiufeng Liu,Kashish Ara Shakil,Mansaf Alam:
  A survey on scholarly data: From big data perspective.Inf. Process. Manag.53(4):923-944 (2017)
• 
  [j6]
  Xiufeng Liu,Alfred Heller,Per Sieverts Nielsen:
  CITIESData: a smart city data management framework.Knowl. Inf. Syst.53(3):699-722 (2017)
• 
  [j5]
  Xiufeng Liu,Lukasz Golab,Wojciech M. Golab,Ihab F. Ilyas,Shichao Jin:
  Smart Meter Data Analytics: Systems, Algorithms, and Benchmarking.ACM Trans. Database Syst.42(1):2:1-2:39 (2017)
• 
  [c17]
  Xiufeng Liu,Per Sieverts Nielsen:
  Air Quality Monitoring System and Benchmarking.DaWaK2017:459-470
• 
  [c16]
  Xiufeng Liu,Per Sieverts Nielsen,Alfred Heller,Panagiota Gianniou:
  SciCloud: A Scientific Cloud and Management Platform for Smart City Data.DEXA Workshops2017:27-31
• 
  [c15]
  Huan Huo,Xiufeng Liu,Deyuan Zheng,Zonghan Wu,Shengwei Yu,Liang Liu:
  Collaborative Filtering Fusing Label Features Based on SDAE.ICDM2017:223-236
• 
  [c14]
  Nadeem Iftikhar,Xiufeng Liu,Sergiu Danalachi,Finn Ebertsen Nordbjerg,Jens Henrik Vollesen:
  A Scalable Smart Meter Data Generator Using Spark.OTM Conferences (1)2017:21-36
• 2016
• 
  [j4]
  Xiufeng Liu,Nadeem Iftikhar,Huan Huo,Per Sieverts Nielsen:
  Optimizing ETL by a Two-Level Data Staging Method.Int. J. Data Warehous. Min.12(3):32-50 (2016)
• 
  [c13]
  Huan Huo,Xiufeng Liu,Jifeng Li,Huhu Yang,Dunlu Peng,Qingkui Chen:
  A Weighted K-AP Query Method for RSSI Based Indoor Positioning.ADC2016:150-163
• 
  [c12]
  Xiufeng Liu,Nadeem Iftikhar,Per Sieverts Nielsen,Alfred Heller:
  Online Anomaly Energy Consumption Detection Using Lambda Architecture.DaWaK2016:193-209
• 
  [c11]
  Nadeem Iftikhar,Xiufeng Liu,Finn Ebertsen Nordbjerg,Sergiu Danalachi:
  A Prediction-Based Smart Meter Data Generator.NBiS2016:173-180
• 
  [i2]
  Xiufeng Liu,Per Sieverts Nielsen:
  Regression-based Online Anomaly Detection for Smart Grid Data.CoRRabs/1606.05781 (2016)
• 
  [i1]
  Xiufeng Liu,Per Sieverts Nielsen:
  A Hybrid ICT-Solution for Smart Meter Data Analytics.CoRRabs/1606.05787 (2016)
• 2015
• 
  [c10]
  Nadeem Iftikhar,Xiufeng Liu,Finn Ebertsen Nordbjerg:
  Relational-Based Sensor Data Cleansing.ADBIS (Short Papers and Workshops)2015:108-118
• 
  [c9]
  Xiufeng Liu,Lukasz Golab,Wojciech M. Golab,Ihab F. Ilyas:
  Benchmarking Smart Meter Data Analytics.EDBT2015:385-396
• 
  [c8]
  Xiufeng Liu,Lukasz Golab,Ihab F. Ilyas:
  SMAS: A smart meter data analytics system.ICDE2015:1476-1479
• 
  [c7]
  Xiufeng Liu,Nadeem Iftikhar:
  An ETL optimization framework using partitioning and parallelization.SAC2015:1015-1022
• 2014
• 
  [c6]
  Xiufeng Liu,Christian Thomsen,Torben Bach Pedersen:
  CloudETL: scalable dimensional ETL for hive.IDEAS2014:195-206
• 
  [c5]
  Xiufeng Liu,Nadeem Iftikhar,Xike Xie:
  Survey of real-time processing systems for big data.IDEAS2014:356-361
• 2013
• 
  [j3]
  Xiufeng Liu,Christian Thomsen,Torben Bach Pedersen:
  ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce.Trans. Large Scale Data Knowl. Centered Syst.8:1-31 (2013)
• 
  [c4]
  Xiufeng Liu,Nadeem Iftikhar:
  Ontology-Based Big Dimension Modeling in Data Warehouse Schema Design.BIS2013:75-87
• 2012
• 
  [j2]
  Xiufeng Liu,Christian Thomsen,Torben Bach Pedersen:
  MapReduce-based Dimensional ETL Made Easy.Proc. VLDB Endow.5(12):1882-1885 (2012)
• 
  [c3]
  Xiufeng Liu,Christian Thomsen,Torben Bach Pedersen:
  3XL: An Efficient DBMS-Based Triple-Store.DEXA Workshops2012:284-288
• 2011
• 
  [j1]
  Xiufeng Liu,Christian Thomsen,Torben Bach Pedersen:
  3XL: Supporting efficient operations on very large OWL Lite triple-stores.Inf. Syst.36(4):765-781 (2011)
• 
  [c2]
  Xiufeng Liu,Christian Thomsen,Torben Bach Pedersen:
  ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce.DaWaK2011:96-111
• 
  [c1]
  Xiufeng Liu,Christian Thomsen,Torben Bach Pedersen:
  The ETLMR MapReduce-Based ETL Framework.SSDBM2011:586-588

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