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ORCIDXiufeng Liu 0001
Person information
- affiliation: Technical University of Denmark, Kgs. Lyngby, Denmark
Other persons with the same name
- Xiufeng Liu — disambiguation page
- Xiufeng Liu 0002
![[0000-0002-0193-6121]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-0193-6121")
— Chinese Academy of Science, Changchun Institute of Optics, Fine Mechanics, and Physics, Changchun, China - Xiufeng Liu 0003 — Huazhong University of Science and Technology, Wuhan, China (and 1 more)
- Xiufeng Liu 0004 — University at Buffalo-SUNY, Buffalo, NY, USA
- Xiufeng Liu 0005 — Hefei University of Technology, Hefei, China
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2020 – today
- 2026
[j44]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)- 2025
- [b1]Xu Cheng, Fan Shi, Xiufeng Liu, Shengyong Chen:
Computational Methods for Blade Icing Detection of Wind Turbines. Springer 2025, ISBN 978-981-96-6762-8, pp. 1-229 - [j43]Rongfei Ma, Yuhao Ma, Xiufeng Liu:
Time series anomaly detection via temporal relationship graphs and adaptive smoothing. Appl. Soft Comput. 179: 113298 (2025) - [j42]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) - [j41]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) - [j40]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) - [j39]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) - [j38]Renfang Wang, Jingtong Wu, Xu Cheng, Xiufeng Liu, Hong Qiu:
Adaptive expert fusion model for online wind power prediction. Neural Networks 184: 107022 (2025) - [j37]Senzhen Wu, Zhijin Wang, Xiufeng Liu, Yuan Zhao, Yue Hu, Yaohui Huang:
Temporal structure-preserving transformer for industrial load forecasting. Neural Networks 192: 107887 (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 Grid 16(4): 3210-3225 (2025) - [c44]Qia Zhang, Renfang Wang, Hong Qiu, Xiufeng Liu, Xu Cheng:
SPDM: Spatiotemporal-Periodic Diffusion Model for Multivariate Time Series Imputation. CSCWD 2025: 776-781 - [c43]Zhanneng Zeng, Renfang Wang, Hong Qiu, Xiufeng Liu, Xu Cheng:
A Correlation-Aware Diffusion Model for Multivariate Time Series Anomaly Detection with Missing Values. CSCWD 2025: 813-818 - [c42]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. CSCWD 2025: 1800-1805 - [c41]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. ICASSP 2025: 1-5 - [c40]Zhiyong Zhang, Ruyu Liu, Chaochao Wang, Xianchao Zhang, Jianhua Zhang, Xiufeng Liu:
SPRGAN: Streamlined Progressive Refinement for Adversarial Point Cloud Video Upsampling. ICASSP 2025: 1-5 - [c39]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. ICASSP 2025: 1-5 - [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. ICRA 2025: 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. SAC 2025: 1223-1230 - [i14]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. CoRR abs/2503.08325 (2025) - [i13]Zhijin Wang, Senzhen Wu, Yue Hu, Xiufeng Liu:
pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data. CoRR abs/2508.18891 (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. Neurocomputing 581: 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. Informatics 20(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. DATA 2024: 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. EITCE 2024: 1219-1227 - [c33]Dong Xiang, Xu Cheng, Sizhuo Chen, Mengna Liu, Fan Shi, Xiufeng Liu:
Multiscale Wavelet-Driven Transformerfor Blade Icing Detection. FAIML 2024: 204-210 - [c32]Per Sieverts Nielsen, Ramazan Sari, Xiufeng Liu, Xiaobing Zhang, Daniel Møller Sneum:
Upskilling the Workforce for Green Transition. iSPEC 2024: 488-493 - [c31]Ruyu Liu, Zhengzhe Liu, Haoyu Zhang, Guodao Zhang, Jianhua Zhang, Sunbo, Weiguo Sheng, Xiufeng Liu, Yaochu Jin:
ColVO: Colonoscopic Visual Odometry Considering Geometric and Photometric Consistency. ACM Multimedia 2024: 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. CoRR abs/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. CoRR abs/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. Impacts 15: 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. CSCWD 2023: 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. CSCWD 2023: 1595-1600 - [c28]Xiufeng Liu, Xu Cheng, Yanyan Yang, Huan Huo, Yongping Liu, Per Sieverts Nielsen:
Understanding crowd energy consumption behaviors. EDBT 2023: 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. ICMLC 2023: 550-557 - [c26]Ting Huang, Xike Xie, Xiufeng Liu:
Multi-level Correlation Matching for Legal Text Similarity Modeling with Multiple Examples. WISE 2023: 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. CoRR abs/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. Informatics 18(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. CoRR abs/2206.07519 (2022) - [i8]Xu Cheng, Chendan Li, Xiufeng Liu:
A Review of Federated Learning in Energy Systems. CoRR abs/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 Grid 12(4): 3637-3647 (2021) - [c25]Weiping Qu, Xiufeng Liu, Stefan Dessloch:
A Workload-Aware Change Data Capture Framework for Data Warehousing. DaWaK 2021: 222-231 - [c24]Wenjing Dai, Xiufeng Liu, Alfred Heller, Per Sieverts Nielsen:
Smart Meter Data Anomaly Detection Using Variational Recurrent Autoencoders with Attention. INTAP 2021: 311-324 - [c23]Marco Biemann, Xiufeng Liu, Yifeng Zeng, Lizhen Huang:
Addressing partial observability in reinforcement learning for energy management. BuildSys 2021: 324-328 - 2020
- [j10]Yanling Zhou, Yanyan Yang, Han Liu, Xiufeng Liu, Nick Savage:
Deep Learning Based Fusion Approach for Hate Speech Detection. IEEE Access 8: 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. EDBT 2020: 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. CoRR abs/2006.09487 (2020) - [i6]Xiufeng Liu, Rongling Li, Yi Wang, Per Sieverts Nielsen:
SEGSys: A mapping system for segmentation analysis in energy. CoRR abs/2012.06446 (2020)
2010 – 2019
- 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. CoRR abs/1904.11498 (2019) - [i4]Samiya Khan, Xiufeng Liu, Mansaf Alam:
A Spark ML driven preprocessing approach for deep learning based scholarly data applications. CoRR abs/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. CoRR abs/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. EDBT 2018: 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. DaWaK 2017: 459-470 - [c16]Xiufeng Liu, Per Sieverts Nielsen, Alfred Heller, Panagiota Gianniou:
SciCloud: A Scientific Cloud and Management Platform for Smart City Data. DEXA Workshops 2017: 27-31 - [c15]Huan Huo, Xiufeng Liu, Deyuan Zheng, Zonghan Wu, Shengwei Yu, Liang Liu:
Collaborative Filtering Fusing Label Features Based on SDAE. ICDM 2017: 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. ADC 2016: 150-163 - [c12]Xiufeng Liu, Nadeem Iftikhar, Per Sieverts Nielsen, Alfred Heller:
Online Anomaly Energy Consumption Detection Using Lambda Architecture. DaWaK 2016: 193-209 - [c11]Nadeem Iftikhar, Xiufeng Liu, Finn Ebertsen Nordbjerg, Sergiu Danalachi:
A Prediction-Based Smart Meter Data Generator. NBiS 2016: 173-180 - [i2]Xiufeng Liu, Per Sieverts Nielsen:
Regression-based Online Anomaly Detection for Smart Grid Data. CoRR abs/1606.05781 (2016) - [i1]Xiufeng Liu, Per Sieverts Nielsen:
A Hybrid ICT-Solution for Smart Meter Data Analytics. CoRR abs/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. EDBT 2015: 385-396 - [c8]Xiufeng Liu, Lukasz Golab, Ihab F. Ilyas:
SMAS: A smart meter data analytics system. ICDE 2015: 1476-1479 - [c7]Xiufeng Liu, Nadeem Iftikhar:
An ETL optimization framework using partitioning and parallelization. SAC 2015: 1015-1022 - 2014
- [c6]Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen:
CloudETL: scalable dimensional ETL for hive. IDEAS 2014: 195-206 - [c5]Xiufeng Liu, Nadeem Iftikhar, Xike Xie:
Survey of real-time processing systems for big data. IDEAS 2014: 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. BIS 2013: 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 Workshops 2012: 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. DaWaK 2011: 96-111 - [c1]Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen:
The ETLMR MapReduce-Based ETL Framework. SSDBM 2011: 586-588
Coauthor Index
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