xiufengliu.github.io

Dr. Xiufeng Liu

Senior Researcher

Department of Technology, Management and Economics

Technical University of Denmark

Address: DTU, Produktionstorvet, Building 424, room 006, 2800 Kgs. Lyngby, Denmark

Email: xiuli@dtu.dk

Google scholar: Visit

CV: PDF Version


Biography

I am a Senior researcher (Associate Professor) at the Department of Technology, Management and Economics at Technical University of Denmark (DTU). I am a member of the research group of System Analysis within the university.

I did my PhD at the Department of Computer Science (Daisy research group) in Aalborg University (AAU) Denmark from August 2008 to May 2012. Prior to joining AAU, I was a scientific assistant in the Åbo Akademi University in Finland from September 2006 to July 2008. During January 2013 to December 2014, I was a postdoctoral researcher in the Data System Group at University of Waterloo, Canada, and at the same period, I was cross-appointed as a research scientist by IBM Toronto research center, where I worked on the soscip project.


Research Interests

I am interested in Smart Meter Data Analytics, Data Management (in particular, data warehousing), Big Data, Data Mining and Machine Learning. My current research includes:


Publications

Peer-reviewed papers (*- corresponding author):

  1. [j] C.W. Bülow and X. Liu*. CAT: A Ready-to-use Tool for Studying Climate Change Disaster Adaptation Behavior, Journal of behavioral and experimental economics, 101590, 2020 [PDF].
  2. [c] J. Wu, Z. Niu, J. Wu, X. Liu, and J. Zhang. $E^3$: Visual Exploration of Spatiotemporal Energy Demand. arXiv preprint arXiv:2006.09487, 2020 [PDF].
  3. [J] Y. Zhou, Y. Yang, H. Liu, X. Liu, N. Savage. Deep Learning Based Fusion Approach for Hate Speech Detection. IEEE Access, 2020 [PDF].
  4. [c] X. Liu, Z. Lai, L. Huang, X. Wang, and PS Nielsen. Contextual Anomaly Detection for Energy Data Stream. Accepted by the 27th International Conference on Neural Information Processing (ICONIP), 2020. [PDF]
  5. [c] X. Wang, X. Liu, X. Zhong and P. Cheng. View Selection for Graph Pattern Matching, Proc. of DEXA, 2020. [PDF]
  6. [j] J. Peng, D. Wang, Z. Niu, J. Wang, O. Jivka, D. Cheng, and X. Liu. Dual-stage Attention-based Long Short-Term Memory Neural Network for Energy Demand Prediction. In Submission, 2020. [PDF]
  7. [j] B. Khan, X. Liu, SA. Ali, and M. Alam. Bivariate, Cluster and Suitability Analysis of NoSQL Solutions for Different Application Areas. In submission, 2020. [PDF]
  8. [c] X. Liu, Z. Niu, Y. Yang, J. Wu, D. Cheng, and X. Wang. VAP: A Visual Analysis Tool for Energy Consumption Spatio-temporal Pattern Discovery (Demo). Proc. of EDBT, pp. 579-582, 2020. [PDF] [Video]
  9. [j] X. Liu, Y. Yang, R. Li, and P. S. Nielsen. A stochastic model for residential user activity simulation. Energies, 12(17):3326, 2019. [PDF]
  10. [j] S. Khan, M. Alam, X. Liu, and K.A. Shakil. Big Data Technology-Enabled Analytical Solution for Quality Assessment of Higher Education Systems. International Journal of Advanced Computer Science and Applications, 10(6):292-304, 2019. [PDF]
  11. [j] X. Liu, H. Huo, N. Iftikhar, and P.S. Nielsen. A Two-Tiered Segmentation Approach for Transaction Data Warehousing. In Emerging Perspectives in Big Data Warehousing, pp. 1-27, IGI Global, 2019. [PDF]
  12. [c] X. Liu, R. Li and P. S. Nielsen. SEGSys: A mapping system for segmentation analysis in energy, Proc. of the 14th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), 2019.
  13. [c] X. Liu, S. Bolwig, and P.S. Nielsen. SmartM: A Non-intrusive Load Monitoring Platform, Proc. of the 22nd Business Information System (Workshop), pp. 424-434, 2019. [PDF]
  14. [j] X. Liu, N. Iftikhar, H. Huo, R. Li, P.S. Nielsen. Two Approaches for Synthesising Scalable Residential Energy Consumption Data, vol. 95, pp. 586-600, Journal of Future Computer Systems, 2019. [PDF]
  15. [c] A. Kewo, P. Manembu, X. Liu, P.S. Nielsen. Statistical Analysis for Factors Influencing Electricity Consumption at Regional Level. Proc. of IEEE 7th International Conference on Power and Energy (PECon), pp. 132-137, 2018. [PDF]
  16. [c] P. Manembu, A. Kewo, X. Liu, P.S. Nielsen. Multi-grained Household Load Profile Analysis using Smart Meter Data: The Case of Indonesia. Proc. of IEEE 2nd Borneo International Conference on Applied Mathematics and Engineering (BICAME), pp. 213-217, 2018. [PDF]
  17. [c] P. Manembu, A. Kewo, P.S. Nielsen, X. Liu, B. Welang, and A. Lapu. Architecture Design of Smart Meter Controlling System for Dynamic IP Environments. Proc. of International Conference on Intelligent Autonomous Systems (ICoIAS), pp. 175-179, 2018. [PDF]
  18. [j] X. Liu, P. S. Nielsen. Scalable prediction-based online anomaly detection for smart meter data. Information Systems, vol. 77, pp. 34-47, 2018. [PDF]
  19. [c] L. Liu, H. Huo, X. Liu, V. Palade. Recognizing Textual Entailment with Attentive Reading and Writing Operations. Proc. of DASFAA, pp. 847-860, 2018. [PDF]
  20. [j] P. Gianniou, X. Liu*, A. Heller, P. S. Nielsen, and C. Rode. Clustering-based Analysis for Residential District Heating Data. Journal of Energy Conversion & Management, vol. 165, pp. 840-850, 2018. [PDF]
  21. [c] D. Ahlers, F. Kraemer, A. E. Bråten, X. Liu, F. Anthonisen, P. Driscoll and J. Krogstie. Analysis and Visualization of Urban Emission Measurements in Smart Cities (demo). Proc. of EDBT, pp. 698-701, 2018. [PDF]
  22. [c] A. Kewo, P. Manembu, P. S. Nielsen, and X. Liu. Modelling of electricity consumption in one of Asia’s most populous cities - Jakarta, Indonesia. Proc. of the 12th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), 2017. [PDF]
  23. [c] H. Huo, X. Liu, D. Zheng, Z. Wu, S. Yu, L. Liu. Collaborative Filtering Fusing Label Features Based on SDAE. Proc. of ICDM, pp. 223-236, 2017. [PDF]
  24. [j] A. Heller, X. Liu, and P. Gianniou. Science Cloud for Smart Cities Research. Energy Procedia, vol. 122, pp. 679-684. [PDF]
  25. [c] X. Liu, P. S. Nielsen, A. Heller, and P. Gianniou. SciCloud: A Scientific Cloud and Management Platform for Smart City Data. Proc. of DEXA Workshop, pp. 27-31, 2017. [PDF] [Slides]
  26. [c] X. Liu, P. S. Nielsen, and A. Heller. An ICT-based Anomaly Detection Method for Smart Meter Data. Proc. of the 12th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), 2017. [PDF]
  27. [c] N. Iftikhar, X. Liu, F. E. Nordbjerg, S. Danalachi, and J. H. Vollesen. A Scalable Smart Meter Data Generator Using Spark. Proc. of the 25th International Conference on Cooperative Information Systems, pp. 21-36, 2017.[PDF] [Slides]
  28. [c] X. Liu, and P. S. Nielsen. Air Quality Monitoring System and Benchmarking. Proc. of the 19th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), pp. 459-470, 2017. [PDF] [Slides]
  29. [j] X. Liu, P. S. Nielsen, and A. Heller. CITIESData: A Framework for Research Data Management for Smart CITIES. Journal of Knowledge and Information Systems (KAIS), 53(3):699-722, 2017. [PDF]
  30. [c] P. Manembu, B. Welang, A. Lapu, A. Kewo, P. S. Nielsen, and X. Liu. A Novel Smart Meter Controlling System with Dynamic IP Addresses. Proc. of the 26th IEEE International Symposium on Industrial Electronics (ISIE 2017). [PDF]
  31. [j] S. Khan, X. Liu, K. A. Shkil, and M. Alam. A Survey of Scholarly Data: From Big Data Perspective. Information Processing and Management (IPM), 53(4):923-944, 2017. [PDF]
  32. [c] X. Liu, N. Iftikhar, P. S. Nielsen, and A. Heller. Online Anomaly Energy Consumption Detection Using Lambda Architecture. Proc. of the 18th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), pp. 193-209, 2016. [PDF] [Slides]
  33. [c] N. Iftikhar, X. Liu, F. E. Nordbjerg, and S. Danalachi. A Prediction-based Smart Meter Data Generator. Proc. of the 19th International Conference of Network-based Information Systems (NBIS), 2016. [PDF] [Slides]
  34. [j] X. Liu, L. Golab, W. Golab, I. F. Ilyas, and S. Jin. Smart Meter Data Analytics: Systems, Algorithms and Benchmarking. ACM Transaction of Database System (TODS), 42(1), 2016. [PDF]
  35. [j] X. Liu, P. S. Nielsen. An ICT-Solution for Smart Meter Data Analytics. Journal of Energy, 115(3):1710-1722, 2016. [PDF]
  36. [j] X. Liu, N. Iftikhar, and P. S. Nielsen. Optimizing ETL by a Two-level Data Staging Method. Journal of International Journal of Data Warehousing and Mining (IJDWM), 12(3):32-50, 2016. [PDF]
  37. [c] H. Huo, X. Liu, J. Li, and H. Yang. A Weighted K-AP Query Method for RSSI based Indoor Positioning. Proc. of the 27th Australasian Database Conference (ADC), pp. 150–163, 2016. [PDF]
  38. [c] X. Liu, Per Sieverts Nielsen. Streamlining Smart Meter Data Analytics. Proc. of the 10th Conference on Sustainable Development of Energy, Water and Environment Systems, SDEWES2015.0558,1-14, 2015. [PDF]
  39. [c] N. Iftikhar, X. Liu, and F. E. Nordbjerg. Relational-Based Sensor Data Cleansing. Proc. of 19th East-European Conference on Advances in Databases and Information Systems (ADBIS), pp. 108-118, 2015. [PDF]
  40. [c] X. Liu, N. Iftikhar. An ETL Optimization Framework Using Partitioning and Parallelization. Proc. of the 30th ACM/SIGAPP Symposium On Applied Computing (SAC), pp. 1015-1022, 2015. [PDF]
  41. [c] X. Liu, L. Golab, I. F. Ilyas. SMAS: A Smart Meter Data Analysis System (demo). Proc. of the 31st International Conference on Data Engineering (ICDE), pp. 1476-1479, 2015. [PDF] [Video]
  42. [c] X. Liu, L. Golab, W. Golab, Ihab F. Ilyas. Benchmarking Smart Meter Data Analytics. Proc. of the 18th International Conference on Extending Database Technology (EDBT), pp. 385-396, 2015 (Paper of the best). [PDF]
  43. [c] X. Liu, N. Iftikhar, and X. Xie, Survey of Real-time Processing Systems for Big Data. Proc. of the 18th International Database Engineering, Applications Symposium (IDEAS), pp. 356-361, 2014. [PDF]
  44. [c] X. Liu, C. Thomsen, and T. B. Pedersen, CloudETL: Scalable Dimensional ETL for Hive. Proc. of the 18th International Database Engineering, Applications Symposium (IDEAS), pp.195-206, 2014. [PDF]
  45. [c] X. Liu and N. Iftikhar. Ontology-based Big Dimension modelling in Data Warehouse Schema Design, Proc. of the 12th Business Information System (BIS), pp. 75-87, 2013. [PDF]
  46. [j] X. Liu, C. Thomsen, and T. B. Pedersen, ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce. TLDKS III, LNCS 7790, 8:1-31, 2013. [PDF]
  47. [c] X. Liu, C. Thomsen, and T. B. Pedersen. MapReduce-based Dimensional ETL Made Easy (demo). PVLDB 5(12): 1882-1885, 2012. [PDF]
  48. [c] X. Liu, C. Thomsen, and T. B. Pedersen. 3XL: An Efficient DBMS-Based Triple-Store. Proc. of DEXA Workshops, pp. 284-288, 2012. [PDF]
  49. [j] X. Liu, C. Thomsen, and T. B. Pedersen. 3XL: Supporting efficient operations on very large OWL Lite triple-stores. Journal of Information Systems, 36(4):765-781, 2011. [PDF]
  50. [c] X. Liu, C. Thomsen, and T. B. Pedersen. ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce. Proc. of the 13th International Conference on Big Data Analytics and Knowledge Discovery (DaWaK), pp. 96-111, 2011 [PDF].
  51. [c] X. Liu, C. Thomsen, and T. B. Pedersen. The ETLMR MapReduce-Based ETL Framework. Proc. of the 23rd Scientific and Statistical Database Management Conference (SSDBM), pp. 586-588, 2011. [PDF]
  52. [j] X. Liu. A Data Warehouse Solution for E-Government. International Journal of Research and Reviews in Applied Sciences, 4(1):120-128, 2010. [PDF]
  53. [j] S. Kang and X. Liu. Online Model-based Testing Design Using the Qtronic Tool. Journal of Northeast Normal University (Natural Science Edition), 42(4), 2010.

Technical Reports:

  1. X. Liu, C. Thomsen, and T. B. Pedersen. ETLMR: A Highly Scalable Dimensional ETL Framework Based on MapReduce, TR-29, Department of Computer Science, Aalborg University, 2011. [PDF]
  2. X. Liu, C. Thomsen, and T. B. Pedersen. CloudETL: Scalable Dimensional ETL for Hadoop and Hive, TR-30, Department of Computer Science, Aalborg University, 2012. [PDF]
  3. X. Liu, D. Truscan, and L. Lilius. Online Testing of the ABOT Game Server Using the Qtronic Tool, Turku Centre for Computer Science, 2008. [PDF]

Poster:

  1. X. Liu, Alfred Heller, P. S. Nielsen. SciCloud: A Scientific Cloud and Data Analysis Platform for Smart CITIES [PDF]
  2. X. Liu, and P. S. Nielsen. An Urban Greenhouse Gas Emissions Dashboard [PDF].
  3. X. Liu, and P. S. Nielsen. Streamlining Meter Data Analytics [PDF].
  4. X. Liu, P. S. Nielsen, and A. Heller. CITIESData: Towards Cloud-Based Big Data Management for Smart Cities [PDF].
  5. X. Liu, L. Golab, and I. llyas. SMAS: A Smart Meter Data Analytics System [PDF].
  6. X. Liu, C. Thomsen, and T. B. Pedersen. MapReduce-based Dimensional ETL Made Easy [PDF].

Book Chapters:

  1. X. Liu, H. Huo, N. Iftikhar, and P. S. Nielsen. A Two-Tiered Segmentation Approach for Transaction Data Warehousing (110817-035954). Big Data Warehousing Book (Invitation) [PDF]

Other publications:

  1. X. Liu. Regression-based Online Anomaly Detection for Smart Grid Data. Arxiv, CoRR abs/1606.05781, 2016 [PDF].
  2. X. Liu. Optimizing ETL Dataflow Using Shared Caching and Parallelization Methods. Arxiv, CoRR abs/1409.1639, 2014 [PDF].
  3. X. Liu. Two-level Data Staging ETL for Transaction Data. Arxiv, CoRR abs/1409.1636, 2014 [PDF].
  4. X. Liu, C. Thomsen, and T. B. Pedersen. All-RiTE: Right-Time ETL for Live DW Data, 12 pages, 2014 [PDF].

PhD Thesis:


Teaching


Supervision


Research Projects

I am working on the following research projects:


Scientific Services

Program Committee Member

Services for Journal

Reviewer for Conferences and Journals


Open Source Software

I developed the following open source software systems in my previous research work (Github: https://github.com/xiufengliu):

  1. SEGSys: An online mapping system for segmentation analysis of energy consumption.
  2. CATool: A ready-to-use experiment tool for climate researchers to understand the pitfalls in adaptation decisions in behavioral economics
  3. IoTDashboard: This project is to create a dashboard that can collect indoor and outdoor climate data, and visualize the time series in real time.
  4. K-SC Clustering Algorithm on Spark
  5. DataGenerator-Cluster-Version: A scalable smart meter data generator on Spark
  6. CITIESData: A scalable smart city data management platform
  7. SMAS: A smart meter data analytics system
  8. CloudETL: A Scalable Dimensional ETL for Hive
  9. BigETL: A unified ETL platform for supporting various data processing technologies, including Spark, Hive, Hadoop, Python, Linux Shell script, etc.
  10. 3XL: An efficient OWL/RDF Triple Store Supporting Bulk Operations
  11. ETLMR: A Python-based Dimensional ETL Framework based on MapReduce (Obsolete)
  12. All-RiTE: A Right-time ETL middle-ware Supporting Insert, Update and Delete Operations (not released yet)

Last updated: July 20, 2020