Xiufeng Liu - RankMe

126 papers A* 5A 1B 12C 9Misc 7Journal 75Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A flexible linear temporal logic-based data inference architecture for industrial process prediction. Complex Intell. Syst. Xu Huo, Ruyu Liu, Haoyu Zhang, Qianneng Tang, Qiqi Liu, Xiufeng Liu
2026	J	`jnl`	AFTS: A patient-agnostic encoder-decoder architecture with directional attention for blood glucose forecasting. J. Biomed. Informatics Yu Chen, Henghong Lin, Zhijin Wang, Jinmo Tang, Yaohui Huang, Xiufeng Liu, Senzhen Wu
2026	A*	`conf`	Beyond Missing Data Imputation: Information-Theoretic Coupling of Missingness and Class Imbalance for Optimal Irregular Time Series Classification. AAAI Xin Qin, Mengna Liu, Wenjie Wang, Shuxin Li, Tianjiao Li, Xiufeng Liu, Xu Cheng
2026	J	`jnl`	Corrigendum to "Physics-informed dynamic ensemble learning for real-time urban water quality monitoring" [Eng. Appl. Artif. Intell. 175 (2026) 114628]. Eng. Appl. Artif. Intell. Renfang Wang, Xinyu Zhao, Xiufeng Liu, Xu Cheng, Hong Qiu
2026	J	`jnl`	Deep reinforcement learning for energy-efficient workflow scheduling in edge computing. Comput. Networks Mengyao Wen, Xiufeng Liu, Xin Ning, Cong Liu, Xiaomin Chen, Jiawei Nian, Long Cheng
2026	J	`jnl`	Dynamic feature selection with distributional Markov chain error correction for financial time series forecasting. Appl. Soft Comput. Yuan Zhao, Xiufeng Liu, Rui Cheng
2026	J	`jnl`	Learning Domain-Generalizable Discriminative Representations by Mixing Euclidean Dynamics and Hilbert Statistics for Wind Turbine Blade Icing Detection. IEEE Trans. Ind. Informatics Wenjie Wang, Mengna Liu, Yunke Li, Xu Cheng, Xiufeng Liu, Shengyong Chen
2026	J	`jnl`	Multi-branch perturbation learning with constraint simulation for semi-supervised semantic segmentation. Pattern Recognit. Ruyu Liu, Feng Xiao, Jianhua Zhang, Xiufeng Liu, Xu Cheng, Shengyong Chen, Bo Sun, Houxiang Zhang
2026	B	`conf`	NavLLM: Interactive LLM-Assisted Navigation over Multidimensional Data Cubes. EDBT Xiufeng Liu, Ruyu Liu, Yanyan Yang
2026	J	`jnl`	Physics-informed dynamic ensemble learning for real-time urban water quality monitoring. Eng. Appl. Artif. Intell. Renfang Wang, Xinyu Zhao, Xiufeng Liu, Xu Cheng, Hong Qiu
2026	J	`jnl`	SaURL-TS: A self-adaptive framework for unsupervised time series representation learning. Pattern Recognit. Yusen Liu, Zhichen Lai, Hua Lu, Xu Cheng, Tianqing Zhu, Xiufeng Liu, Huan Huo
2026	J	`jnl`	Structure-Dependent Regret and Constraint Violation Bounds for Online Convex Optimization with Time-Varying Constraints. CoRR Xiufeng Liu, Qian Chen, Zhijin Wang, Ruyu Liu
2026	J	`jnl`	Time-Filtering Graph Learning With Spatial-Temporal Diffusion for Robust Blade Icing Detection. IEEE Internet Things J. Lingzhu Hu, Weiwei Tian, Xin Qin, Xiufeng Liu, Fan Shi, Xu Cheng
2026	B	`conf`	TwinDB: Interactive What-If Analysis for Digital Twins. EDBT Xiufeng Liu, Ruyu Liu, Per Sieverts Nielsen, Hua Lu
2025	C	`conf`	A Correlation-Aware Diffusion Model for Multivariate Time Series Anomaly Detection with Missing Values. CSCWD Zhanneng Zeng, Renfang Wang, Hong Qiu, Xiufeng Liu, Xu Cheng
2025	J	`jnl`	Adaptive expert fusion model for online wind power prediction. Neural Networks Renfang Wang, Jingtong Wu, Xu Cheng, Xiufeng Liu, Hong Qiu
2025	—	`conf`	Causal Discovery with Inverted Self-attention for Multivariate Time Series. PAKDD (4) Yusen Liu, Yong Wang, Yifan Yin, Tianqing Zhu, Xiufeng Liu, Huan Huo
2025	J	`jnl`	Causality-Aware Multi-Graph Convolutional Networks With Critical Node Dynamics for Electric Vehicle Charging Station Load Forecasting. IEEE Trans. Smart Grid Yaohui Huang, Senzhen Wu, Zhijin Wang, Xiufeng Liu, Chendan Li, Yue Hu
2025	—	`book`	Computational Methods for Blade Icing Detection of Wind Turbines Xu Cheng, Fan Shi, Xiufeng Liu, Shengyong Chen
2025	J	`jnl`	Distortion-Aware Outdoor Panoramic Depth Estimation via Local-Global Fusion. IEEE Trans. Ind. Informatics Ruyu Liu, Yao Qin, Yihao Ying, Xiufeng Liu, Haoyu Zhang, Weiguo Sheng, Jianhua Zhang, Shengyong Chen
2025	Misc	`conf`	Efficient Large-Scale Scene Point Cloud Upsampling with Implicit Neural Networks and Spatial Hashing. ICASSP Zhiyong Zhang, Yunrui Zhu, Ruyu Liu, Xu Cheng, Jianhua Zhang, Xiufeng Liu
2025	J	`jnl`	Enhancing spatiotemporal wind power forecasting with meta-learning in data-scarce environments. Eng. Appl. Artif. Intell. Renfang Wang, Jingtong Wu, Xu Cheng, Xiufeng Liu, Hong Qiu
2025	J	`jnl`	FRAME: Feature Rectification for Class Imbalance Learning. IEEE Trans. Knowl. Data Eng. Xu Cheng, Fan Shi, Yao Zhang, Huan Li, Xiufeng Liu, Shengyong Chen
2025	J	`jnl`	Feature-driven reinforcement learning for photovoltaic in continuous intraday trading. CoRR Arega Getaneh Abate, Xiufeng Liu, Ruyu Liu, Xiaobing Zhang
2025	—	`conf`	G-Shapelets: Predicting Longitudinal Gene Expression Dynamics via Interpretable Multi-Scale Temporal Motifs. BIBM Zhijin Wang, Yue Hu, Yonggang Fu, Zhuorui Wu, Jing Cao, Xiufeng Liu, Philippe Fournier-Viger
2025	J	`jnl`	Hierarchical Spatiotemporal Graph Network for Fault Diagnosis of Industrial Processes. IEEE Internet Things J. Guoqian Jiang, Kaili Shen, Xiufeng Liu, Xu Cheng, Ping Xie
2025	J	`jnl`	Learning interpretable dynamics: Influence-based clustering of energy consumption time series. Neurocomputing Binbin Li, Xiufeng Liu, Rongfei Ma, Yuhao Ma
2025	J	`jnl`	Leveragable Adaptive Multi-Scale Features and Learnable Prototypes for Imbalanced Sea State Estimation Based on Ship Motion Data. IEEE Trans. Intell. Transp. Syst. Zhichao Xu, Mengna Liu, Tianjiao Li, Xiufeng Liu, Xu Cheng, Shengyong Chen
2025	J	`jnl`	MSTNet: a multi-stage progressive network with local-global transformer fusion for image restoration. Complex Intell. Syst. Ruyu Liu, Lin Wang, Jie He, Jiajia Wang, Jianhua Zhang, Xiufeng Liu, Chaochao Wang, Haoyu Zhang, Sheng Dai
2025	A	`conf`	Mamba-SLAM: Enhancing Neural Implicit SLAM with Uncertainty and Mamba. ICME Jiaming Lu, Yunrui Zhu, Ruyu Liu, Xu Cheng, Jianhua Zhang, Bo Sun, Xiufeng Liu
2025	A*	`conf`	Multi-Scale Convolutional Networks with Class-Normalized Logit Clipping for Robust Sea State Estimation from Noisy Ship Motion Data. ICRA Xin Qin, Mengna Liu, Xu Cheng, Xiufeng Liu, Fan Shi, Jianhua Zhang, Shengyong Chen
2025	C	`conf`	Multi-Stage Knowledge Distillation for Progressive Image Deblurring in Teacher-Student Networks. CSCWD Jie He, Lin Wang, Jiajia Wang, Ruyu Liu, Haoyu Zhang, Bo Sun, Xiufeng Liu, Chaochao Wang, Xianchao Zhang
2025	J	`jnl`	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. Lele Qi, Mengna Liu, Xu Cheng, Chen Jia, Xiufeng Liu, Shengyong Chen
2025	Misc	`conf`	PULLM: A Multimodal Framework for Enhanced 3D Point Cloud Upsampling Using Large Language Models. SAC Zhiyong Zhang, Ruyu Liu, Xiufeng Liu, Yunrui Zhu, Yanyan Yang, Chaochao Wang, Jianhua Zhang
2025	J	`jnl`	Prototype-based Heterogeneous Federated Learning for Blade Icing Detection in Wind Turbines with Class Imbalanced Data. CoRR Lele Qi, Mengna Liu, Xu Cheng, Fan Shi, Xiufeng Liu, Shengyong Chen
2025	J	`jnl`	SCTNet-NAS: efficient semantic segmentation via neural architecture search for cloud-edge collaborative perception. Complex Intell. Syst. Ruyu Liu, Lin Wang, Zhihao Yu, Haoyu Zhang, Xiufeng Liu, Bo Sun, Xv Huo, Jianhua Zhang
2025	C	`conf`	SPDM: Spatiotemporal-Periodic Diffusion Model for Multivariate Time Series Imputation. CSCWD Qia Zhang, Renfang Wang, Hong Qiu, Xiufeng Liu, Xu Cheng
2025	Misc	`conf`	SPRGAN: Streamlined Progressive Refinement for Adversarial Point Cloud Video Upsampling. ICASSP Zhiyong Zhang, Ruyu Liu, Chaochao Wang, Xianchao Zhang, Jianhua Zhang, Xiufeng Liu
2025	J	`jnl`	Semantic Change Detection of Bitemporal Remote Sensing Images Using Frequency Feature Enhancement. IEEE Geosci. Remote. Sens. Lett. Renfang Wang, Kun Yang, Feng Wang, Hong Qiu, Yingying Huang, Xiufeng Liu
2025	Misc	`conf`	Serial Local Patterns and Irregular Dependencies Extract and Cascaded Fusion Network for Structural Crack Segmentation. ICASSP Hui Liu, Chen Jia, Xu Cheng, Xiufeng Liu, Fan Shi
2025	J	`jnl`	Solar PV Installation Potential Assessment on Building Facades Based on Vision and Language Foundation Models. CoRR Ruyu Liu, Dongxu Zhuang, Jianhua Zhang, Arega Getaneh Abate, Per Sieverts Nielsen, Ben Wang, Xiufeng Liu
2025	J	`jnl`	SpatialIE: Towards adaptive floating waste detection in unpredictable weather. Knowl. Based Syst. Yifan Yin, Xiufeng Liu, Xu Cheng, Yusen Liu, Tianqing Zhu, Huan Huo
2025	J	`jnl`	Temporal structure-preserving transformer for industrial load forecasting. Neural Networks Senzhen Wu, Zhijin Wang, Xiufeng Liu, Yuan Zhao, Yue Hu, Yaohui Huang
2025	J	`jnl`	Time series anomaly detection via temporal relationship graphs and adaptive smoothing. Appl. Soft Comput. Rongfei Ma, Yuhao Ma, Xiufeng Liu
2025	—	`conf`	TrashTracer: Enabling Efficient Real-Time Detection of Underwater Marine Debris. AI (2) Yifan Yin, Xiufeng Liu, Xu Cheng, Hua Zuo, Ling Chen, Tianqing Zhu, Huan Huo
2025	J	`jnl`	pyFAST: A Modular PyTorch Framework for Time Series Modeling with Multi-source and Sparse Data. CoRR Zhijin Wang, Senzhen Wu, Yue Hu, Xiufeng Liu
2024	J	`jnl`	A Federated Learning Framework for Cloud-Edge Collaborative Fault Diagnosis of Wind Turbines. IEEE Internet Things J. Guoqian Jiang, Kai Zhao, Xiufeng Liu, Xu Cheng, Ping Xie
2024	J	`jnl`	A Prototype-Empowered Kernel-Varying Convolutional Model for Imbalanced Sea State Estimation in IoT-Enabled Autonomous Ship. IEEE Trans. Sustain. Comput. Mengna Liu, Xu Cheng, Fan Shi, Xiufeng Liu, Hongning Dai, Shengyong Chen
2024	J	`jnl`	A new feature selection method based on importance measures for crude oil return forecasting. Neurocomputing Yuan Zhao, Yaohui Huang, Zhijin Wang, Xiufeng Liu
2024	J	`jnl`	An End-to-End Model for Time Series Classification In the Presence of Missing Values. CoRR Pengshuai Yao, Mengna Liu, Xu Cheng, Fan Shi, Huan Li, Xiufeng Liu, Shengyong Chen
2024	J	`jnl`	An integrated intrusion detection framework based on subspace clustering and ensemble learning. Comput. Electr. Eng. Jingyi Zhu, Xiufeng Liu
2024	—	`conf`	CTRL: Collaborative Temporal Representation Learning for Wind Power Forecasting. EITCE Yue Hu, Senzhen Wu, Yu Chen, Xinhao He, Zihao Xie, Zhijin Wang, Xiufeng Liu, Yonggang Fu
2024	J	`jnl`	Carbon futures price forecasting based on feature selection. Eng. Appl. Artif. Intell. Yuan Zhao, Yaohui Huang, Zhijin Wang, Xiufeng Liu
2024	J	`jnl`	Carbon futures return forecasting: A novel method based on decomposition-ensemble strategy and Markov process. Appl. Soft Comput. Yuan Zhao, Weiguo Zhang, Xue Gong, Xiufeng Liu
2024	J	`jnl`	Class-Imbalanced Spatial-Temporal Feature Learning for Blade Icing Recognition of Wind Turbine. IEEE Trans. Ind. Informatics Renfang Wang, Hong Qiu, Guoqian Jiang, Xiufeng Liu, Xu Cheng
2024	A*	`conf`	ColVO: Colonoscopic Visual Odometry Considering Geometric and Photometric Consistency. ACM Multimedia Ruyu Liu, Zhengzhe Liu, Haoyu Zhang, Guodao Zhang, Jianhua Zhang, Bo Sun, Weiguo Sheng, Xiufeng Liu, Yaochu Jin
2024	J	`jnl`	Disentangling Imperfect: A Wavelet-Infused Multilevel Heterogeneous Network for Human Activity Recognition in Flawed Wearable Sensor Data. CoRR Mengna Liu, Dong Xiang, Xu Cheng, Xiufeng Liu, Dalin Zhang, Shengyong Chen, Christian S. Jensen
2024	J	`jnl`	Grid search with a weighted error function: Hyper-parameter optimization for financial time series forecasting. Appl. Soft Comput. Yuan Zhao, Weiguo Zhang, Xiufeng Liu
2024	J	`jnl`	High-Order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-Based Small Ship Detection. IEEE Trans. Geosci. Remote. Sens. Yifan Yin, Xu Cheng, Fan Shi, Xiufeng Liu, Huan Huo, Shengyong Chen
2024	—	`conf`	Multiscale Wavelet-Driven Transformerfor Blade Icing Detection. FAIML Dong Xiang, Xu Cheng, Sizhuo Chen, Mengna Liu, Fan Shi, Xiufeng Liu
2024	C	`conf`	Online Machine Learning for Adaptive Ballast Water Management. DATA Nadeem Iftikhar, Yi-Chen Lin, Xiufeng Liu, Finn Ebertsen Nordbjerg
2024	J	`jnl`	Prompt Learning for Light Field Semantic Segmentation in the Consumer-Centric Internet of Intelligent Computing Things. IEEE Trans. Consumer Electron. Chen Jia, Fan Shi, Xiufeng Liu, Xu Cheng, Zixuan Zhang, Meng Zhao, Shengyong Chen
2024	J	`jnl`	Selective Feature Fusion and Irregular-Aware Network for Pavement Crack Detection. IEEE Trans. Intell. Transp. Syst. Xu Cheng, Tian He, Fan Shi, Meng Zhao, Xiufeng Liu, Shengyong Chen
2024	C	`conf`	Upskilling the Workforce for Green Transition. iSPEC Per Sieverts Nielsen, Ramazan Sari, Xiufeng Liu, Xiaobing Zhang, Daniel Møller Sneum
2023	J	`jnl`	A Difference Enhanced Neural Network for Semantic Change Detection of Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. Renfang Wang, Hucheng Wu, Hong Qiu, Feng Wang, Xiufeng Liu, Xu Cheng
2023	J	`jnl`	A Novel Class-Imbalanced Ship Motion Data-Based Cross-Scale Model for Sea State Estimation. IEEE Trans. Intell. Transp. Syst. Xu Cheng, Kexin Wang, Xiufeng Liu, Qian Yu, Fan Shi, Zhengru Ren, Shengyong Chen
2023	J	`jnl`	A late-mover genetic algorithm for resource-constrained project-scheduling problems. Inf. Sci. Yongping Liu, Lizhen Huang, Xiufeng Liu, Guomin Ji, Xu Cheng, Erling Onstein
2023	J	`jnl`	A systematic review of data-driven approaches to fault diagnosis and early warning. J. Intell. Manuf. Jieyang Peng, Andreas Kimmig, Dongkun Wang, Zhibin Niu, Fan Zhi, Jiahai Wang, Xiufeng Liu, Jivka Ovtcharova
2023	J	`jnl`	Anomaly detection with a container-based stream processing framework for Industrial Internet of Things. J. Ind. Inf. Integr. Renfang Wang, Hong Qiu, Xu Cheng, Xiufeng Liu
2023	J	`jnl`	Chapter Two - Bivariate, cluster, and suitability analysis of NoSQL solutions for big graph applications. Adv. Comput. Samiya Khan, Xiufeng Liu, Syed Arshad Ali, Mansaf Alam
2023	J	`jnl`	Data Center HVAC Control Harnessing Flexibility Potential via Real-Time Pricing Cost Optimization Using Reinforcement Learning. IEEE Internet Things J. Marco Biemann, Philipp Andreas Gunkel, Fabian Scheller, Lizhen Huang, Xiufeng Liu
2023	Misc	`conf`	Feature Enhancement Based Multi-Feature Fusion Network for Video Anomaly Detection in Offshore Surbeillance. ICMLC Jiacheng Gao, Xu Cheng, Xiufeng Liu, Fan Shi, Meng Zhao, Shengyong Chen
2023	J	`jnl`	FedBIP: A Federated Learning-Based Model for Wind Turbine Blade Icing Prediction. IEEE Trans. Instrum. Meas. Dongtian Zhang, Weiwei Tian, Xu Cheng, Fan Shi, Hong Qiu, Xiufeng Liu, Shengyong Chen
2023	J	`jnl`	High-order Spatial Interactions Enhanced Lightweight Model for Optical Remote Sensing Image-based Small Ship Detection. CoRR Yifan Yin, Xu Cheng, Fan Shi, Xiufeng Liu, Huan Huo, Shengyong Chen
2023	B	`conf`	Multi-level Correlation Matching for Legal Text Similarity Modeling with Multiple Examples. WISE Ting Huang, Xike Xie, Xiufeng Liu
2023	J	`jnl`	Smart Meter Synthetic Data Generator development in python using FBProphet. Softw. Impacts Ezhilarasi P., Ramesh L., Xiufeng Liu, Jens Bo Holm-Nielsen
2023	C	`conf`	Spatial and Channel Exchange based on EfficientNet for Detecting Changes of Remote Sensing Images. CSCWD Renfang Wang, Zijian Yang, Hong Qiu, Xiufeng Liu, Dun Wu
2023	C	`conf`	Tensor Nuclear Norm Based Matrix Regression Based Projections for Feature Extraction of Hyperspectral Images. CSCWD Hong Qiu, Heng jin, Renfang Wang, Xiufeng Liu, Guang Gao
2023	B	`conf`	Understanding crowd energy consumption behaviors. EDBT Xiufeng Liu, Xu Cheng, Yanyan Yang, Huan Huo, Yongping Liu, Per Sieverts Nielsen
2022	J	`jnl`	A Class-Imbalanced Heterogeneous Federated Learning Model for Detecting Icing on Wind Turbine Blades. IEEE Trans. Ind. Informatics Xu Cheng, Fan Shi, Yongping Liu, Jiehan Zhou, Xiufeng Liu, Lizhen Huang
2022	J	`jnl`	A Novel Deep Class-Imbalanced Semisupervised Model for Wind Turbine Blade Icing Detection. IEEE Trans. Neural Networks Learn. Syst. Xu Cheng, Fan Shi, Xiufeng Liu, Meng Zhao, Shengyong Chen
2022	J	`jnl`	A Review of Federated Learning in Energy Systems. CoRR Xu Cheng, Chendan Li, Xiufeng Liu
2022	J	`jnl`	Smart Meter Data Anomaly Detection using Variational Recurrent Autoencoders with Attention. CoRR Wenjing Dai, Xiufeng Liu, Alfred Heller, Per Sieverts Nielsen
2021	B	`conf`	A Workload-Aware Change Data Capture Framework for Data Warehousing. DaWaK Weiping Qu, Xiufeng Liu, Stefan Dessloch
2021	—	`conf`	Addressing partial observability in reinforcement learning for energy management. BuildSys Marco Biemann, Xiufeng Liu, Yifeng Zeng, Lizhen Huang
2021	J	`jnl`	Electricity Consumer Characteristics Identification: A Federated Learning Approach. IEEE Trans. Smart Grid Yi Wang, Imane Lahmam Bennani, Xiufeng Liu, Mingyang Sun, Yao Zhou
2021	—	`conf`	Smart Meter Data Anomaly Detection Using Variational Recurrent Autoencoders with Attention. INTAP Wenjing Dai, Xiufeng Liu, Alfred Heller, Per Sieverts Nielsen
2020	—	`conf`	A Contextual Anomaly Detection Framework for Energy Smart Meter Data Stream. ICONIP (5) Xiufeng Liu, Zhichen Lai, Xin Wang, Lizhen Huang, Per Sieverts Nielsen
2020	J	`jnl`	Deep Learning Based Fusion Approach for Hate Speech Detection. IEEE Access Yanling Zhou, Yanyan Yang, Han Liu, Xiufeng Liu, Nick Savage
2020	J	`jnl`	E CoRR Junqi Wu, Zhibin Niu, Jing Wu, Xiufeng Liu, Jiawan Zhang
2020	J	`jnl`	SEGSys: A mapping system for segmentation analysis in energy. CoRR Xiufeng Liu, Rongling Li, Yi Wang, Per Sieverts Nielsen
2020	B	`conf`	VAP: A Visual Analysis Tool for Energy Consumption Spatio-temporal Pattern Discovery. EDBT Xiufeng Liu, Zhibin Niu, Yanyan Yang, Junqi Wu, Dawei Cheng, Xin Wang
2019	J	`jnl`	A Spark ML driven preprocessing approach for deep learning based scholarly data applications. CoRR Samiya Khan, Xiufeng Liu, Mansaf Alam
2019	J	`jnl`	Bivariate, Cluster and Suitability Analysis of NoSQL Solutions for Different Application Areas. CoRR Samiya Khan, Xiufeng Liu, Syed Arshad Ali, Mansaf Alam
2019	—	`conf`	SmartM: A Non-intrusive Load Monitoring Platform. BIS (Workshops) Xiufeng Liu, Simon Bolwig, Per Sieverts Nielsen
2019	J	`jnl`	Storage Solutions for Big Data Systems: A Qualitative Study and Comparison. CoRR Samiya Khan, Xiufeng Liu, Syed Arshad Ali, Mansaf Alam
2019	J	`jnl`	Two approaches for synthesizing scalable residential energy consumption data. Future Gener. Comput. Syst. Xiufeng Liu, Nadeem Iftikhar, Huan Huo, Rongling Li, Per Sieverts Nielsen
2018	B	`conf`	Analysis and Visualization of Urban Emission Measurements in Smart Cities. EDBT Dirk Ahlers, Frank Alexander Kraemer, Anders Eivind Braten, Xiufeng Liu, Fredrik Anthonisen, Patrick Driscoll, John Krogstie
2018	—	`conf`	Recognizing Textual Entailment with Attentive Reading and Writing Operations. DASFAA (1) Liang Liu, Huan Huo, Xiufeng Liu, Vasile Palade, Dunlu Peng, Qingkui Chen
2018	J	`jnl`	Scalable prediction-based online anomaly detection for smart meter data. Inf. Syst. Xiufeng Liu, Per Sieverts Nielsen
2017	—	`conf`	A Scalable Smart Meter Data Generator Using Spark. OTM Conferences (1) Nadeem Iftikhar, Xiufeng Liu, Sergiu Danalachi, Finn Ebertsen Nordbjerg, Jens Henrik Vollesen
2017	J	`jnl`	A survey on scholarly data: From big data perspective. Inf. Process. Manag. Samiya Khan, Xiufeng Liu, Kashish Ara Shakil, Mansaf Alam
2017	B	`conf`	Air Quality Monitoring System and Benchmarking. DaWaK Xiufeng Liu, Per Sieverts Nielsen
2017	J	`jnl`	CITIESData: a smart city data management framework. Knowl. Inf. Syst. Xiufeng Liu, Alfred Heller, Per Sieverts Nielsen
2017	A*	`conf`	Collaborative Filtering Fusing Label Features Based on SDAE. ICDM Huan Huo, Xiufeng Liu, Deyuan Zheng, Zonghan Wu, Shengwei Yu, Liang Liu
2017	—	`conf`	SciCloud: A Scientific Cloud and Management Platform for Smart City Data. DEXA Workshops Xiufeng Liu, Per Sieverts Nielsen, Alfred Heller, Panagiota Gianniou
2017	J	`jnl`	Smart Meter Data Analytics: Systems, Algorithms, and Benchmarking. ACM Trans. Database Syst. Xiufeng Liu, Lukasz Golab, Wojciech M. Golab, Ihab F. Ilyas, Shichao Jin
2016	J	`jnl`	A Hybrid ICT-Solution for Smart Meter Data Analytics. CoRR Xiufeng Liu, Per Sieverts Nielsen
2016	—	`conf`	A Prediction-Based Smart Meter Data Generator. NBiS Nadeem Iftikhar, Xiufeng Liu, Finn Ebertsen Nordbjerg, Sergiu Danalachi
2016	Misc	`conf`	A Weighted K-AP Query Method for RSSI Based Indoor Positioning. ADC Huan Huo, Xiufeng Liu, Jifeng Li, Huhu Yang, Dunlu Peng, Qingkui Chen
2016	B	`conf`	Online Anomaly Energy Consumption Detection Using Lambda Architecture. DaWaK Xiufeng Liu, Nadeem Iftikhar, Per Sieverts Nielsen, Alfred Heller
2016	J	`jnl`	Optimizing ETL by a Two-Level Data Staging Method. Int. J. Data Warehous. Min. Xiufeng Liu, Nadeem Iftikhar, Huan Huo, Per Sieverts Nielsen
2016	J	`jnl`	Regression-based Online Anomaly Detection for Smart Grid Data. CoRR Xiufeng Liu, Per Sieverts Nielsen
2015	Misc	`conf`	An ETL optimization framework using partitioning and parallelization. SAC Xiufeng Liu, Nadeem Iftikhar
2015	B	`conf`	Benchmarking Smart Meter Data Analytics. EDBT Xiufeng Liu, Lukasz Golab, Wojciech M. Golab, Ihab F. Ilyas
2015	—	`conf`	Relational-Based Sensor Data Cleansing. ADBIS (Short Papers and Workshops) Nadeem Iftikhar, Xiufeng Liu, Finn Ebertsen Nordbjerg
2015	A*	`conf`	SMAS: A smart meter data analytics system. ICDE Xiufeng Liu, Lukasz Golab, Ihab F. Ilyas
2014	C	`conf`	CloudETL: scalable dimensional ETL for hive. IDEAS Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen
2014	C	`conf`	Survey of real-time processing systems for big data. IDEAS Xiufeng Liu, Nadeem Iftikhar, Xike Xie
2013	J	`jnl`	ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce. Trans. Large Scale Data Knowl. Centered Syst. Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen
2013	—	`conf`	Ontology-Based Big Dimension Modeling in Data Warehouse Schema Design. BIS Xiufeng Liu, Nadeem Iftikhar
2012	—	`conf`	3XL: An Efficient DBMS-Based Triple-Store. DEXA Workshops Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen
2012	J	`jnl`	MapReduce-based Dimensional ETL Made Easy. Proc. VLDB Endow. Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen
2011	J	`jnl`	3XL: Supporting efficient operations on very large OWL Lite triple-stores. Inf. Syst. Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen
2011	B	`conf`	ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce. DaWaK Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen
2011	B	`conf`	The ETLMR MapReduce-Based ETL Framework. SSDBM Xiufeng Liu, Christian Thomsen, Torben Bach Pedersen