Dr Xiufeng Liu

Researcher
Department of Management Engineering
Technical University of Denmark

Address: Building 426, room 125, 2800 Kgs. Lyngby, Denmark

Email: xiuli@dtu.dk

CV: PDF Version



Biography

I am a researcher at the Department of Management Engineering in Technical University of Denmark (DTU). I am a member of the research group of Climate Change and Sustainable Development (CCSD) 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 research group of Information System and Science Energy (ISS4E) at University of Waterloo, Canada, and at the same period I was co-appointed as a research scientist by IBM Toronto research center.

I obtained my Master and Bachelor degrees of Computer Science from Software School of Tsinghua university in China in 2005 and 2001, respectively.


Research Interests

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


Publications

Peer-reviewed papers:

  1. X. Liu, P. S. Nielsen. Scalable Prediction-based Anomaly Detection on Smart Meter Data. Information Systems, vol. 77, pp. 34-47, 2018. [PDF]
  2. 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]
  3. 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]
  4. 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]
  5. X. Liu, R. Li, and P. S. Nielsen. User Activity Simulation for Residential Buildings. In Submission, 2018. [PDF]
  6. A. Kewo, P. Manembu, P. S. Nielsen, and X. Liu. Modelling of electricity consumption in one of the Asia’s most populous cities - Jakarta, Indonesia. Proc. of the 12th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES), 2017. [PDF]
  7. 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]
  8. A. Heller, X. Liu, and P. Gianniou. Science Cloud for Smart Cities Research. Energy Procedia, vol. 122, pp. 679-684 . [PDF]
  9. 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]
  10. 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]
  11. 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]
  12. 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]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. X. Liu, P. S. Nielsen. An ICT-Solution for Smart Meter Data Analytics. Journal of Energy, 115(3):1710-1722, 2016. [PDF]
  20. 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]
  21. 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]
  22. 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]
  23. 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]
  24. 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]
  25. 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]
  26. 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]
  27. 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]
  28. 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]
  29. X. Liu and N. Iftkhar. Ontology-based Big Dimension modeling in Data Warehouse Schema Design, Proc. of the 12th Business Information System (BIS), pp. 75-87, 2013. [PDF]
  30. 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]
  31. X. Liu, C. Thomsen, and T. B. Pedersen. MapReduce-based Dimensional ETL Made Easy (demo). PVLDB 5(12): 1882-1885, 2012. [PDF]
  32. X. Liu, C. Thomsen, and T. B. Pedersen. 3XL: An Efficient DBMS-Based Triple-Store. Proc. of DEXA Workshops, pp. 284-288, 2012. [PDF]
  33. 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]
  34. 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].
  35. 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]
  36. X. Liu. A Data Warehouse Solution for E-Government. International Journal of Research and Reviews in Applied Sciences, 4(1):120-128, 2010. [PDF]
  37. 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


Supservision


Research Projects

I am working on the following research projects:


Scientific Services

Program Commitee Member

Reviewer for Conferences and Journals


Open Source Software

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

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

Last updated: March 2018