The ETLMR MapReduce-Based ETL Framework. - Xiufeng Liu 001; Christian Thomsen 001; Torben Bach Pedersen (SSDBM, 2011)

3XL: Supporting efficient operations on very large OWL Lite triple-stores. - Xiufeng Liu 001; Christian Thomsen 001; Torben Bach Pedersen (Inf. Syst., 2011)

3XL: An Efficient DBMS-Based Triple-Store. - Xiufeng Liu 001; Christian Thomsen 001; Torben Bach Pedersen (DEXA Workshops, 2012)

MapReduce-based Dimensional ETL Made Easy. - Xiufeng Liu 001; Christian Thomsen 001; Torben Bach Pedersen (Proc. VLDB Endow., 2012)

Ontology-Based Big Dimension Modeling in Data Warehouse Schema Design. - Xiufeng Liu 001; Nadeem Iftikhar (BIS, 2013)

ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce. - Xiufeng Liu 001; Christian Thomsen 001; Torben Bach Pedersen (Trans. Large Scale Data Knowl. Centered Syst., 2013)

Survey of real-time processing systems for big data. - Xiufeng Liu 001; Nadeem Iftikhar; Xike Xie (IDEAS, 2014)

CloudETL: scalable dimensional ETL for hive. - Xiufeng Liu 001; Christian Thomsen 001; Torben Bach Pedersen (IDEAS, 2014)

Relational-Based Sensor Data Cleansing. - Nadeem Iftikhar; Xiufeng Liu 001; Finn Ebertsen Nordbjerg (ADBIS (Short Papers and Workshops), 2015)

Benchmarking Smart Meter Data Analytics. - Xiufeng Liu 001; Lukasz Golab; Wojciech M. Golab; Ihab F. Ilyas (EDBT, 2015)

SMAS: A smart meter data analytics system. - Xiufeng Liu 001; Lukasz Golab; Ihab F. Ilyas (ICDE, 2015)

An ETL optimization framework using partitioning and parallelization. - Xiufeng Liu 001; Nadeem Iftikhar (SAC, 2015)

A Weighted K-AP Query Method for RSSI Based Indoor Positioning. - Huan Huo; Xiufeng Liu 001; Jifeng Li; Huhu Yang; Dunlu Peng; Qingkui Chen (ADC, 2016)

Online Anomaly Energy Consumption Detection Using Lambda Architecture. - Xiufeng Liu 001; Nadeem Iftikhar; Per Sieverts Nielsen; Alfred Heller (DaWaK, 2016)

A Prediction-Based Smart Meter Data Generator. - Nadeem Iftikhar; Xiufeng Liu 001; Finn Ebertsen Nordbjerg; Sergiu Danalachi (NBiS, 2016)

Regression-based Online Anomaly Detection for Smart Grid Data. - Xiufeng Liu 001; Per Sieverts Nielsen (CoRR, 2016)

A Hybrid ICT-Solution for Smart Meter Data Analytics. - Xiufeng Liu 001; Per Sieverts Nielsen (CoRR, 2016)

Optimizing ETL by a Two-Level Data Staging Method. - Xiufeng Liu 001; Nadeem Iftikhar; Huan Huo; Per Sieverts Nielsen (Int. J. Data Warehous. Min., 2016)

Air Quality Monitoring System and Benchmarking. - Xiufeng Liu 001; Per Sieverts Nielsen (DaWaK, 2017)

SciCloud: A Scientific Cloud and Management Platform for Smart City Data. - Xiufeng Liu 001; Per Sieverts Nielsen; Alfred Heller; Panagiota Gianniou (DEXA Workshops, 2017)

Collaborative Filtering Fusing Label Features Based on SDAE. - Huan Huo; Xiufeng Liu 001; Deyuan Zheng; Zonghan Wu; Shengwei Yu; Liang Liu 015 (ICDM, 2017)

A Scalable Smart Meter Data Generator Using Spark. - Nadeem Iftikhar; Xiufeng Liu 001; Sergiu Danalachi; Finn Ebertsen Nordbjerg; Jens Henrik Vollesen (OTM Conferences (1), 2017)

A survey on scholarly data: From big data perspective. - Samiya Khan; Xiufeng Liu 001; Kashish Ara Shakil; Mansaf Alam (Inf. Process. Manag., 2017)

CITIESData: a smart city data management framework. - Xiufeng Liu 001; Alfred Heller; Per Sieverts Nielsen (Knowl. Inf. Syst., 2017)

Smart Meter Data Analytics: Systems, Algorithms, and Benchmarking. - Xiufeng Liu 001; Lukasz Golab; Wojciech M. Golab; Ihab F. Ilyas; Shichao Jin (ACM Trans. Database Syst., 2017)

Recognizing Textual Entailment with Attentive Reading and Writing Operations. - Liang Liu 015; Huan Huo; Xiufeng Liu 001; Vasile Palade; Dunlu Peng; Qingkui Chen (DASFAA (1), 2018)

Analysis and Visualization of Urban Emission Measurements in Smart Cities. - Dirk Ahlers; Frank Alexander Kraemer; Anders Eivind Braten; Xiufeng Liu 001; Fredrik Anthonisen; Patrick Driscoll; John Krogstie (EDBT, 2018)

Scalable prediction-based online anomaly detection for smart meter data. - Xiufeng Liu 001; Per Sieverts Nielsen (Inf. Syst., 2018)

SmartM: A Non-intrusive Load Monitoring Platform. - Xiufeng Liu 001; Simon Bolwig; Per Sieverts Nielsen (BIS (Workshops), 2019)

Storage Solutions for Big Data Systems: A Qualitative Study and Comparison. - Samiya Khan; Xiufeng Liu 001; Syed Arshad Ali; Mansaf Alam (CoRR, 2019)

A Spark ML driven preprocessing approach for deep learning based scholarly data applications. - Samiya Khan; Xiufeng Liu 001; Mansaf Alam (CoRR, 2019)

Bivariate, Cluster and Suitability Analysis of NoSQL Solutions for Different Application Areas. - Samiya Khan; Xiufeng Liu 001; Syed Arshad Ali; Mansaf Alam (CoRR, 2019)

Two approaches for synthesizing scalable residential energy consumption data. - Xiufeng Liu 001; Nadeem Iftikhar; Huan Huo; Rongling Li; Per Sieverts Nielsen (Future Gener. Comput. Syst., 2019)

VAP: A Visual Analysis Tool for Energy Consumption Spatio-temporal Pattern Discovery. - Xiufeng Liu 001; Zhibin Niu; Yanyan Yang 002; Junqi Wu 003; Dawei Cheng; Xin Wang 064 (EDBT, 2020)

A Contextual Anomaly Detection Framework for Energy Smart Meter Data Stream. - Xiufeng Liu 001; Zhichen Lai 001; Xin Wang 064; Lizhen Huang; Per Sieverts Nielsen (ICONIP (5), 2020)

Deep Learning Based Fusion Approach for Hate Speech Detection. - Yanling Zhou; Yanyan Yang 002; Han Liu 002; Xiufeng Liu 001; Nick Savage 001 (IEEE Access, 2020)

E3: Visual Exploration of Spatiotemporal Energy Demand. - Junqi Wu 003; Zhibin Niu; Jing Wu 004; Xiufeng Liu 001; Jiawan Zhang (CoRR, 2020)

SEGSys: A mapping system for segmentation analysis in energy. - Xiufeng Liu 001; Rongling Li; Yi Wang 022; Per Sieverts Nielsen (CoRR, 2020)

A Workload-Aware Change Data Capture Framework for Data Warehousing. - Weiping Qu; Xiufeng Liu 001; Stefan Dessloch (DaWaK, 2021)

Smart Meter Data Anomaly Detection Using Variational Recurrent Autoencoders with Attention. - Wenjing Dai; Xiufeng Liu 001; Alfred Heller; Per Sieverts Nielsen (INTAP, 2021)

Addressing partial observability in reinforcement learning for energy management. - Marco Biemann; Xiufeng Liu 001; Yifeng Zeng; Lizhen Huang (BuildSys, 2021)

Electricity Consumer Characteristics Identification: A Federated Learning Approach. - Yi Wang 022; Imane Lahmam Bennani; Xiufeng Liu 001; Mingyang Sun; Yao Zhou (IEEE Trans. Smart Grid, 2021)

A Review of Federated Learning in Energy Systems. - Xu Cheng 003; Chendan Li; Xiufeng Liu 001 (CoRR, 2022)

A Class-Imbalanced Heterogeneous Federated Learning Model for Detecting Icing on Wind Turbine Blades. - Xu Cheng 003; Fan Shi 001; Yongping Liu; Jiehan Zhou; Xiufeng Liu 001; Lizhen Huang (IEEE Trans. Ind. Informatics, 2022)

A Novel Deep Class-Imbalanced Semisupervised Model for Wind Turbine Blade Icing Detection. - Xu Cheng 003; Fan Shi 001; Xiufeng Liu 001; Meng Zhao 001; Shengyong Chen (IEEE Trans. Neural Networks Learn. Syst., 2022)

Tensor Nuclear Norm Based Matrix Regression Based Projections for Feature Extraction of Hyperspectral Images. - Hong Qiu; Heng Jin; Renfang Wang; Xiufeng Liu 001; Guang Gao (CSCWD, 2023)

Spatial and Channel Exchange based on EfficientNet for Detecting Changes of Remote Sensing Images. - Renfang Wang; Zijian Yang; Hong Qiu; Xiufeng Liu 001; Dun Wu (CSCWD, 2023)

Understanding crowd energy consumption behaviors. - Xiufeng Liu 001; Xu Cheng 003; Yanyan Yang 002; Huan Huo; Yongping Liu; Per Sieverts Nielsen (EDBT, 2023)

Feature Enhancement Based Multi-Feature Fusion Network for Video Anomaly Detection in Offshore Surbeillance. - Jiacheng Gao; Xu Cheng 003; Xiufeng Liu 001; Fan Shi 001; Meng Zhao 001; Shengyong Chen (ICMLC, 2023)

Multi-level Correlation Matching for Legal Text Similarity Modeling with Multiple Examples. - Ting Huang; Xike Xie; Xiufeng Liu 001 (WISE, 2023)

Chapter Two - Bivariate, cluster, and suitability analysis of NoSQL solutions for big graph applications. - Samiya Khan; Xiufeng Liu 001; Syed Arshad Ali; Mansaf Alam (Adv. Comput., 2023)

A late-mover genetic algorithm for resource-constrained project-scheduling problems. - Yongping Liu; Lizhen Huang; Xiufeng Liu 001; Guomin Ji; Xu Cheng 003; Erling Onstein (Inf. Sci., 2023)

A Difference Enhanced Neural Network for Semantic Change Detection of Remote Sensing Images. - Renfang Wang; Hucheng Wu; Hong Qiu; Feng Wang 031; Xiufeng Liu 001; Xu Cheng 003 (IEEE Geosci. Remote. Sens. Lett., 2023)

FedBIP: A Federated Learning-Based Model for Wind Turbine Blade Icing Prediction. - Dongtian Zhang; Weiwei Tian; Xu Cheng 003; Fan Shi 001; Hong Qiu; Xiufeng Liu 001; Shengyong Chen (IEEE Trans. Instrum. Meas., 2023)

Smart Meter Synthetic Data Generator development in python using FBProphet. - Ezhilarasi P.; Ramesh L.; Xiufeng Liu 001; Jens Bo Holm-Nielsen (Softw. Impacts, 2023)

Data Center HVAC Control Harnessing Flexibility Potential via Real-Time Pricing Cost Optimization Using Reinforcement Learning. - Marco Biemann; Philipp Andreas Gunkel; Fabian Scheller; Lizhen Huang; Xiufeng Liu 001 (IEEE Internet Things J., 2023)

Anomaly detection with a container-based stream processing framework for Industrial Internet of Things. - Renfang Wang; Hong Qiu; Xu Cheng 003; Xiufeng Liu 001 (J. Ind. Inf. Integr., 2023)

A systematic review of data-driven approaches to fault diagnosis and early warning. - Jieyang Peng; Andreas Kimmig; Dongkun Wang; Zhibin Niu; Fan Zhi; Jiahai Wang; Xiufeng Liu 001; Jivka Ovtcharova (J. Intell. Manuf., 2023)

A Novel Class-Imbalanced Ship Motion Data-Based Cross-Scale Model for Sea State Estimation. - Xu Cheng 003; Kexin Wang; Xiufeng Liu 001; Qian Yu; Fan Shi 001; Zhengru Ren; Shengyong Chen (IEEE Trans. Intell. Transp. Syst., 2023)

Online Machine Learning for Adaptive Ballast Water Management. - Nadeem Iftikhar; Yi-Chen Lin 001; Xiufeng Liu 001; Finn Ebertsen Nordbjerg (DATA, 2024)

CTRL: Collaborative Temporal Representation Learning for Wind Power Forecasting. - Yue Hu 013; Senzhen Wu; Yu Chen; Xinhao He; Zihao Xie; Zhijin Wang; Xiufeng Liu 001; Yonggang Fu (EITCE, 2024)

Multiscale Wavelet-Driven Transformerfor Blade Icing Detection. - Dong Xiang; Xu Cheng 003; Sizhuo Chen; Mengna Liu; Fan Shi 001; Xiufeng Liu 001 (FAIML, 2024)

Upskilling the Workforce for Green Transition. - Per Sieverts Nielsen; Ramazan Sari; Xiufeng Liu 001; Xiaobing Zhang; Daniel Møller Sneum (iSPEC, 2024)

ColVO: Colonoscopic Visual Odometry Considering Geometric and Photometric Consistency. - Ruyu Liu; Zhengzhe Liu; Haoyu Zhang; Guodao Zhang; Jianhua Zhang 002; Sunbo; Weiguo Sheng 001; Xiufeng Liu 001; Yaochu Jin (ACM Multimedia, 2024)

Carbon futures return forecasting: A novel method based on decomposition-ensemble strategy and Markov process. - Yuan Zhao 007; Weiguo Zhang; Xue Gong; Xiufeng Liu 001 (Appl. Soft Comput., 2024)

Grid search with a weighted error function: Hyper-parameter optimization for financial time series forecasting. - Yuan Zhao 007; Weiguo Zhang; Xiufeng Liu 001 (Appl. Soft Comput., 2024)

An integrated intrusion detection framework based on subspace clustering and ensemble learning. - Jingyi Zhu; Xiufeng Liu 001 (Comput. Electr. Eng., 2024)

Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data. - Mengna Liu; Dong Xiang; Xu Cheng 003; Xiufeng Liu 001; Dalin Zhang 001; Shengyong Chen; Christian S. Jensen (CoRR, 2024)

An End-to-End Model for Time Series Classification In the Presence of Missing Values. - Pengshuai Yao; Mengna Liu; Xu Cheng 003; Fan Shi 001; Huan Li 003; Xiufeng Liu 001; Shengyong Chen (CoRR, 2024)

Carbon futures price forecasting based on feature selection. - Yuan Zhao 007; Yaohui Huang; Zhijin Wang; Xiufeng Liu 001 (Eng. Appl. Artif. Intell., 2024)

A new feature selection method based on importance measures for crude oil return forecasting. - Yuan Zhao 007; Yaohui Huang; Zhijin Wang; Xiufeng Liu 001 (Neurocomputing, 2024)

High-Order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-Based Small Ship Detection. - Yifan Yin; Xu Cheng 003; Fan Shi 001; Xiufeng Liu 001; Huan Huo; Shengyong Chen (IEEE Trans. Geosci. Remote. Sens., 2024)

A Prototype-Empowered Kernel-Varying Convolutional Model for Imbalanced Sea State Estimation in IoT-Enabled Autonomous Ship. - Mengna Liu; Xu Cheng 003; Fan Shi 001; Xiufeng Liu 001; Hongning Dai; Shengyong Chen (IEEE Trans. Sustain. Comput., 2024)

Selective Feature Fusion and Irregular-Aware Network for Pavement Crack Detection. - Xu Cheng 003; Tian He; Fan Shi 001; Meng Zhao 001; Xiufeng Liu 001; Shengyong Chen (IEEE Trans. Intell. Transp. Syst., 2024)

A Federated Learning Framework for Cloud-Edge Collaborative Fault Diagnosis of Wind Turbines. - Guoqian Jiang; Kai Zhao; Xiufeng Liu 001; Xu Cheng 003; Ping Xie (IEEE Internet Things J., 2024)

Prompt Learning for Light Field Semantic Segmentation in the Consumer-Centric Internet of Intelligent Computing Things. - Chen Jia; Fan Shi 001; Xiufeng Liu 001; Xu Cheng 003; Zixuan Zhang; Meng Zhao 001; Shengyong Chen (IEEE Trans. Consumer Electron., 2024)

Class-Imbalanced Spatial-Temporal Feature Learning for Blade Icing Recognition of Wind Turbine. - Renfang Wang; Hong Qiu; Guoqian Jiang; Xiufeng Liu 001; Xu Cheng 003 (IEEE Trans. Ind. Informatics, 2024)

Computational Methods for Blade Icing Detection of Wind Turbines - Xu Cheng 003; Fan Shi 001; Xiufeng Liu 001; Shengyong Chen (Springer, 2025)

Multi-Stage Knowledge Distillation for Progressive Image Deblurring in Teacher-Student Networks. - Jie He; Lin Wang; Jiajia Wang; Ruyu Liu; Haoyu Zhang; Bo Sun; Xiufeng Liu 001; Chaochao Wang; Xianchao Zhang 002 (CSCWD, 2025)

A Correlation-Aware Diffusion Model for Multivariate Time Series Anomaly Detection with Missing Values. - Zhanneng Zeng; Renfang Wang; Hong Qiu; Xiufeng Liu 001; Xu Cheng 003 (CSCWD, 2025)

SPDM: Spatiotemporal-Periodic Diffusion Model for Multivariate Time Series Imputation. - Qia Zhang; Renfang Wang; Hong Qiu; Xiufeng Liu 001; Xu Cheng 003 (CSCWD, 2025)

Serial Local Patterns and Irregular Dependencies Extract and Cascaded Fusion Network for Structural Crack Segmentation. - Hui Liu; Chen Jia; Xu Cheng 003; Xiufeng Liu 001; Fan Shi 001 (ICASSP, 2025)

SPRGAN: Streamlined Progressive Refinement for Adversarial Point Cloud Video Upsampling. - Zhiyong Zhang; Ruyu Liu; Chaochao Wang; Xianchao Zhang 002; Jianhua Zhang 002; Xiufeng Liu 001 (ICASSP, 2025)

Efficient Large-Scale Scene Point Cloud Upsampling with Implicit Neural Networks and Spatial Hashing. - Zhiyong Zhang; Yunrui Zhu; Ruyu Liu; Xu Cheng 003; Jianhua Zhang 002; Xiufeng Liu 001 (ICASSP, 2025)

Multi-Scale Convolutional Networks with Class-Normalized Logit Clipping for Robust Sea State Estimation from Noisy Ship Motion Data. - Xin Qin; Mengna Liu; Xu Cheng 003; Xiufeng Liu 001; Fan Shi 001; Jianhua Zhang 002; Shengyong Chen (ICRA, 2025)

Causal Discovery with Inverted Self-attention for Multivariate Time Series. - Yusen Liu 001; Yong Wang; Yifan Yin; Tianqing Zhu; Xiufeng Liu 001; Huan Huo (PAKDD (4), 2025)

PULLM: A Multimodal Framework for Enhanced 3D Point Cloud Upsampling Using Large Language Models. - Zhiyong Zhang; Ruyu Liu; Xiufeng Liu 001; Yunrui Zhu; Yanyan Yang 002; Chaochao Wang; Jianhua Zhang 002 (SAC, 2025)

Time series anomaly detection via temporal relationship graphs and adaptive smoothing. - Rongfei Ma; Yuhao Ma; Xiufeng Liu 001 (Appl. Soft Comput., 2025)

Enhancing spatiotemporal wind power forecasting with meta-learning in data-scarce environments. - Renfang Wang; Jingtong Wu; Xu Cheng 003; Xiufeng Liu 001; Hong Qiu (Eng. Appl. Artif. Intell., 2025)

Hierarchical Spatiotemporal Graph Network for Fault Diagnosis of Industrial Processes. - Guoqian Jiang; Kaili Shen; Xiufeng Liu 001; Xu Cheng 003; Ping Xie (IEEE Internet Things J., 2025)

SpatialIE: Towards adaptive floating waste detection in unpredictable weather. - Yifan Yin; Xiufeng Liu 001; Xu Cheng 003; Yusen Liu 001; Tianqing Zhu; Huan Huo (Knowl. Based Syst., 2025)

Semantic Change Detection of Bitemporal Remote Sensing Images Using Frequency Feature Enhancement. - Renfang Wang; Kun Yang; Feng Wang 031; Hong Qiu; Yingying Huang; Xiufeng Liu 001 (IEEE Geosci. Remote. Sens. Lett., 2025)

Adaptive expert fusion model for online wind power prediction. - Renfang Wang; Jingtong Wu; Xu Cheng 003; Xiufeng Liu 001; Hong Qiu (Neural Networks, 2025)

Temporal structure-preserving transformer for industrial load forecasting. - Senzhen Wu; Zhijin Wang; Xiufeng Liu 001; Yuan Zhao 007; Yue Hu 013; Yaohui Huang (Neural Networks, 2025)

Prototype-based Heterogeneous Federated Learning for Blade Icing Detection in Wind Turbines with Class Imbalanced Data. - Lele Qi; Mengna Liu; Xu Cheng 003; Fan Shi 001; Xiufeng Liu 001; Shengyong Chen (CoRR, 2025)

FRAME: Feature Rectification for Class Imbalance Learning. - Xu Cheng 003; Fan Shi 001; Yao Zhang 021; Huan Li 003; Xiufeng Liu 001; Shengyong Chen (IEEE Trans. Knowl. Data Eng., 2025)

Causality-Aware Multi-Graph Convolutional Networks With Critical Node Dynamics for Electric Vehicle Charging Station Load Forecasting. - Yaohui Huang; Senzhen Wu; Zhijin Wang; Xiufeng Liu 001; Chendan Li; Yue Hu 013 (IEEE Trans. Smart Grid, 2025)

pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data. - Zhijin Wang; Senzhen Wu; Yue Hu 013; Xiufeng Liu 001 (CoRR, 2025)

Leveragable Adaptive Multi-Scale Features and Learnable Prototypes for Imbalanced Sea State Estimation Based on Ship Motion Data. - Zhichao Xu; Mengna Liu; Tianjiao Li; Xiufeng Liu 001; Xu Cheng 003; Shengyong Chen (IEEE Trans. Intell. Transp. Syst., 2025)

One Stone, Three Birds: Prototype-Enhanced Federated Learning for Mitigating Data Scarcity, Imbalance, and Heterogeneity in Blade Icing Detection Across Distributed Wind Farms. - Lele Qi; Mengna Liu; Xu Cheng 003; Chen Jia; Xiufeng Liu 001; Shengyong Chen (IEEE Internet Things J., 2025)

Multi-branch perturbation learning with constraint simulation for semi-supervised semantic segmentation. - Ruyu Liu; Feng Xiao 005; Jianhua Zhang 002; Xiufeng Liu 001; Xu Cheng 003; Shengyong Chen; Bo Sun; Houxiang Zhang (Pattern Recognit., 2026)