Professor Xue Li
Professor

Xue Li

Email: 
Phone: 
+61 7 336 54044

Availability

Professor Xue Li is:
Not available for supervision

Fields of research

Information and Computing Sciences

Qualifications

  • Bachelor of Science, Chongqing University
  • Masters (Research) of Science, The University of Queensland
  • Doctor of Philosophy, Queensland University of Technology

Search Professor Xue Li’s works on UQ eSpace

363 works between 2001 and 2025
All (363) Journal Article (150) Book Chapter (9) Conference Publication (197) Book (1) Other Outputs (1) Edited Outputs (5)

261 - 280 of 363 works

2009

Journal Article

Projected outlier detection in high dimensional mixed-attributes data set

Ye, Mao, Li, Xue and Orlowska, Maria E. (2009). Projected outlier detection in high dimensional mixed-attributes data set. Expert Systems With Applications, 36 (3), 7104-7113. doi: 10.1016/j.eswa.2008.08.030

Projected outlier detection in high dimensional mixed-attributes data set

2009

Book Chapter

Incremental learning for interactive e-mail filtering

Ding-Yi Chen, Xue Li, Zhao Yang Dong and Xia Chen (2009). Incremental learning for interactive e-mail filtering. Agent technologies and web engineering: Applications and systems. (pp. 134-152) edited by David Rine and Ghazi Alkhatib. Hershey, PA, U.S.A.: IGI Global. doi: 10.4018/978-1-60566-618-1.ch008

Incremental learning for interactive e-mail filtering

2009

Edited Outputs

Advanced data mining and applications: 5th international conference, ADMA 2009: Beijing, China, August 2009: proceedings

Ronghuai Huang, Qiang Yang, Jian Pei, João Gama, Xiaofeng Meng and Xue Li eds. (2009). Advanced data mining and applications: 5th international conference, ADMA 2009: Beijing, China, August 2009: proceedings. 5th international conference, ADMA 2009, Beijing, China, August 2009. Berlin; Heidelberg, Germany: Springer Verlag.

Advanced data mining and applications: 5th international conference, ADMA 2009: Beijing, China, August 2009: proceedings

2009

Conference Publication

Learning from experience: Can e-learning technology be used as a vehicle?

Au, Thien Wan, Sadiq, Shazia and Li, Xue (2009). Learning from experience: Can e-learning technology be used as a vehicle?. ICEL 2009: 4th International Conference on e-Learning, Toronto, Canada, 16-17 June 2009. Reading, U.K.: Academic Publishing.

Learning from experience: Can e-learning technology be used as a vehicle?

2009

Conference Publication

OcVFDT: One-class very fast decision tree for one-class classification of data streams

Li, Chen, Zhang, Yang and Li, Xue (2009). OcVFDT: One-class very fast decision tree for one-class classification of data streams. 3rd International Workshop on Knowledge Discovery from Sensor Data, SensorKDD'09 in Conjunction with the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD-09, Paris, France, 28 June 2009. New York, NY United States: ACM Press. doi: 10.1145/1601966.1601981

OcVFDT: One-class very fast decision tree for one-class classification of data streams

2009

Conference Publication

Learning from experience: can e-learning technology be used as a vehicle?

Au, Thien Wan, Sadiq, Shazia and Li, Xue (2009). Learning from experience: can e-learning technology be used as a vehicle?. 4th International Conference on e-Learning, ICEL 2009, Toronto, Canada, 16-17 July 2009.

Learning from experience: can e-learning technology be used as a vehicle?

2009

Conference Publication

Ranking-Constrained Keyword Sequence Extraction from Web Documents

Dingyi Chen, Xue Li, Jing Liu and Xia Chen (2009). Ranking-Constrained Keyword Sequence Extraction from Web Documents. 20th Australasian Database Conference (ADC 2009), Wellington, New Zealand, Jan 2009. NSW, Aust: Australian Computer Society.

Ranking-Constrained Keyword Sequence Extraction from Web Documents

2009

Book Chapter

K-Means and K-Medoids

Li, Xue (2009). K-Means and K-Medoids. Encyclopedia of Database Systems. (pp. 1588-1589) edited by Ling Liu and M. Tamer Özsu. United States: Springer. doi: 10.1007/978-0-387-39940-9_545

K-Means and K-Medoids

2009

Conference Publication

Computational model for trust management in RFID supply chains

Mahinderjit-Singh, Manmeet and Li, Xue (2009). Computational model for trust management in RFID supply chains. The 2009 IEEE International Symposium on Trust, Security and Privacy for Pervasive Applications, Macau, China, 12-15 October 2009. Piscataway NJ, USA: IEEE. doi: 10.1109/MOBHOC.2009.5336926

Computational model for trust management in RFID supply chains

2009

Journal Article

RFID infrastructure design: A case study of two Australian RFID projects

Mo, John, P. T., Sheng, Quan, Z., Li, Xue and Zeadally, Sherali (2009). RFID infrastructure design: A case study of two Australian RFID projects. IEEE Internet Computing, 13 (1), 14-21. doi: 10.1109/MIC.2009.18

RFID infrastructure design: A case study of two Australian RFID projects

2009

Conference Publication

Dimension-specific search for multimedia retrieval

Huanh, Zi, Shen, Heng Tao, Song, Dawei, Li, Xue and Rueger, Stefan (2009). Dimension-specific search for multimedia retrieval. 14th International Conference, DASFAA 2009, Brisbane, Australia, 21-23 April 2009. Berlin, Germany; New York, U.S.A.: Springer. doi: 10.1007/978-3-642-00887-0

Dimension-specific search for multimedia retrieval

2009

Book Chapter

Database clustering methods

Li, Xue (2009). Database clustering methods. Encyclopedia of Database Systems. (pp. 699-700) United States: Springer. doi: 10.1007/978-0-387-39940-9_550

Database clustering methods

2009

Conference Publication

Trust framework for RFID tracking in supply chain management

Mahinderjit-Singh, Manmeet and Li, Xue (2009). Trust framework for RFID tracking in supply chain management. 3rd International Workshop on RFID Technology - Concepts, Applications, Challenges, Milan, Italy, 6-7 May 2009. Portugal: INSTICC Press.

Trust framework for RFID tracking in supply chain management

2008

Journal Article

Moving block sequence and organizational evolutionary algorithm for general floorplanning with arbirtrarily shaped rectilinear blocks

Liu, J., Zhong, W., Jiao, L. and Li, X. (2008). Moving block sequence and organizational evolutionary algorithm for general floorplanning with arbirtrarily shaped rectilinear blocks. IEEE Transactions On Evolutionary Computation, 12 (5), 630-646. doi: 10.1109/TEVC.2008.920679

Moving block sequence and organizational evolutionary algorithm for general floorplanning with arbirtrarily shaped rectilinear blocks

2008

Journal Article

Enabling next-generation RFID applications: Solutions and challenges

Sheng, Quan Z., Li, Xue and Zeadally, Sherali (2008). Enabling next-generation RFID applications: Solutions and challenges. Computer, 41 (9), 21-28. doi: 10.1109/MC.2008.386

Enabling next-generation RFID applications: Solutions and challenges

2008

Conference Publication

A heuristic data reduction approach for associative classification rule hiding

Natwichai, J., Sun, X. and Xue, Li (2008). A heuristic data reduction approach for associative classification rule hiding. PRICAI 2008: Tenth Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam, 15-19 December 2008. Berlin, Germany: Springer Verlag. doi: 10.1007/978-3-540-89197-0_16

A heuristic data reduction approach for associative classification rule hiding

2008

Conference Publication

An Intrinsic Subsequence Decomposition Algorithm for Network Intrusion Detection

Zhu, Y., Ye, M., Liu, N., Zhao, X. and Li, X. (2008). An Intrinsic Subsequence Decomposition Algorithm for Network Intrusion Detection. Fourth International Conference on Natural Computation, 2008, Jinan, PR China, 18-20 Oct 2008. Los Alamatis, California: IEEE Computer Society. doi: 10.1109/ICNC.2008.101

An Intrinsic Subsequence Decomposition Algorithm for Network Intrusion Detection

2008

Conference Publication

Graph mining based on a data partitioning approach

Nguyen, Son N., Orlowska, Maria E. and Li, Xue (2008). Graph mining based on a data partitioning approach. Australasian Database Conference (ADC2008), Wollongong, Australia, 22-25 January 2008. Sydney, Australia: Australian Computer Society.

Graph mining based on a data partitioning approach

2008

Edited Outputs

Advanced Data Mining and Applications (ADMA)

Tang, C., Ling, C.X., Zhou, X. and Li, X. eds. (2008). Advanced Data Mining and Applications (ADMA). Fourth International Conference on Advanced Data Mining and Applications (ADAMA 2008), Chengdu, China, 8-10 October, 2008. Berlin & Heidelberg, Germany: Springer - Verlag.

Advanced Data Mining and Applications (ADMA)

2008

Conference Publication

One-class classification of text streams with concept drift

Zhang, Y., Li, X. and Orlowska, M. E. (2008). One-class classification of text streams with concept drift. IEEE International Conference on Data Mining Workshops 2008 (ICDMW '08), Pisa, Italy, 15-19 December 2008. Piscataway, NJ, U.S.A.: IEEE. doi: 10.1109/ICDMW.2008.54

One-class classification of text streams with concept drift

Current funding

  • 2023 - 2026
    Short Sequence Representation Learning with Limited Supervision
    ARC Discovery Projects
    Open grant

Past funding

  • 2018 - 2019
    A Large-Scale Distributed Experimental Facility for the Internet of Things (ARC LIEF grant administered by Macquarie University)
    Macquarie University
    Open grant
  • 2018 - 2021
    Development of New Aluminium Alloys through Big Data Analytics
    ARC Discovery Projects
    Open grant
  • 2017 - 2022
    Fusion of Digital Microscopy and Plain Text Reports for Automated Analysis
    ARC Linkage Projects
    Open grant
  • 2016 - 2019
    Interaction mining for cyberbullying detection on social networks (ARC Linkage Project administered by University of Technology Sydney)
    University of Technology Sydney
    Open grant
  • 2016 - 2019
    Opinion Analysis on Objects in Social Networks
    ARC Discovery Projects
    Open grant
  • 2014 - 2017
    Effective Recommendations based on Multi-Source Data
    ARC Discovery Projects
    Open grant
  • 2013 - 2015
    Learning Human Activities through Low Cost, Unobtrusive RFID Technology (ARC Discovery Project led by University of Adelaide)
    University of Adelaide
    Open grant
  • 2005 - 2007
    Mining Distributed High-Speed Time-Variant Data Streams
    ARC Discovery Projects
    Open grant

Availability

Professor Xue Li is:
Not available for supervision

Supervision history

Current supervision

  • Doctor Philosophy

    Distribution-aware Automatic Summary Generalisation from Multi-modal Medical Data

    Principal Advisor

  • Doctor Philosophy

    Context-aware Representation Learning for Code Analysis

    Principal Advisor

  • Doctor Philosophy

    Entity Alignment for Evolving Temporal Knowledge Graphs

    Principal Advisor

  • Doctor Philosophy

    Weighted Ensembles for Different machine learning model that support non-data-sharing / vertical partition

    Principal Advisor

    Other advisors: Dr Priyanka Singh

  • Doctor Philosophy

    Information Extraction from Large-scale Low-quality Data

    Principal Advisor

  • Doctor Philosophy

    Federated transfer learning on clinical multimodal data

    Principal Advisor

  • Doctor Philosophy

    Open-domain Dialogue Generation

    Principal Advisor

    Other advisors: Professor Helen Huang

  • Doctor Philosophy

    Short Sequence Representation Learning with Limited Supervision

    Principal Advisor

    Other advisors: Associate Professor Sen Wang

  • Doctor Philosophy

    Data Mining on Many-to-Many Complex Relationships

    Associate Advisor

    Other advisors: Professor Guido Zuccon

  • Doctor Philosophy

    Data Mining on Many-to-Many Complex Relationships

    Associate Advisor

    Other advisors: Professor Guido Zuccon

  • Master Philosophy

    Multi-modal Detection of Video Disinformation

    Associate Advisor

    Other advisors: Dr Priyanka Singh

  • Doctor Philosophy

    Short Sequence Representation Learning with Limited Supervision

    Associate Advisor

    Other advisors: Associate Professor Jiajun Liu, Associate Professor Sen Wang

  • Doctor Philosophy

    Graph Mining for Legal Case Retrieval

    Associate Advisor

    Other advisors: Professor Helen Huang

  • Doctor Philosophy

    Privacy preservation with Large Language Models

    Associate Advisor

    Other advisors: Dr Priyanka Singh

Completed supervision

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