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)

241 - 260 of 363 works

2011

Journal Article

A semi-supervised text clustering algorithm based on pairwise constraints

Zhong, Jiang, Dong, Gaofeng, Zhou, Ying, Li, Xue, Liu, Longhai and Chen, Qiang (2011). A semi-supervised text clustering algorithm based on pairwise constraints. Journal of Information and Computational Science, 8 (6), 951-960.

A semi-supervised text clustering algorithm based on pairwise constraints

2011

Conference Publication

Selection of continuous features based on distribution of objects

Li, Guohe, Wu, Weijiang, Li, Hongqi and Li, Xue (2011). Selection of continuous features based on distribution of objects. 2011 3rd International Workshop on Intelligent Systems and Applications, ISA 2011, Wuhan, China, 28-29 May 2011. Piscataway, NJ, United States: IEEE. doi: 10.1109/ISA.2011.5873248

Selection of continuous features based on distribution of objects

2011

Conference Publication

Approximate record matching using hash grams

Gollapalli, Mohammed, Li, Xue, Wood, Ian and Governatori, Guido (2011). Approximate record matching using hash grams. 2011 IEEE 11th International Conference on Data Mining (ICDM 2011), Vancouver Canada, 11-14 December 2011. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICDMW.2011.33

Approximate record matching using hash grams

2011

Conference Publication

Recommendations based on network analysis

Li, Xue and Chen, Ling (2011). Recommendations based on network analysis. 2011 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2011, Jakarta, Indonesia, 17-18 December 2011. Piscataway, NJ, United States: IEEE.

Recommendations based on network analysis

2011

Journal Article

A novel feature selection method based on probability latent semantic analysis for chinese text classification

Zhong, Jiang, Sun, Qigan, Li, Xue and Wen, Luosheng (2011). A novel feature selection method based on probability latent semantic analysis for chinese text classification. Chinese Journal of Electronics, 20 (2), 228-232.

A novel feature selection method based on probability latent semantic analysis for chinese text classification

2011

Conference Publication

Ontology guided data linkage framework for discovering meaningful data facts

Gollapalli, Mohammed, Li, Xue, Wood, Ian and Governatori, Guido (2011). Ontology guided data linkage framework for discovering meaningful data facts. 7th International Conference on Advanced Data Mining and Applications (ADMA 2011), Beijing, China, 17-19 December 2011. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-25856-5_19

Ontology guided data linkage framework for discovering meaningful data facts

2011

Conference Publication

Exploratory study on learners' experience in an eLearning system

Thien Wan, Au, Sadiq, Shazia and Li, Xue (2011). Exploratory study on learners' experience in an eLearning system. 17th Americas Conference on Information Systems (AMCIS 2011), Detroit, MI, United States, 4-7 August 2011. Atlanta, GA, United States: Association for Information Systems.

Exploratory study on learners' experience in an eLearning system

2011

Conference Publication

Exploratory study on learners' experience in an elearning system

Wan, Au Thien, Sadiq, Shazia and Li, Xue (2011). Exploratory study on learners' experience in an elearning system. 17th Americas Conference on Information Systems 2011, AMCIS 2011, Detroit, Michigan, August 4-8, 2011.

Exploratory study on learners' experience in an elearning system

2011

Conference Publication

Bayesian classifiers for positive unlabeled learning

He, Jiazhen, Zhang, Yang, Li, Xue and Wang, Yong (2011). Bayesian classifiers for positive unlabeled learning. 12th International Conference on Web-Age Information Management, WAIM 201, Wuhan, China, 14 - 16 September 2011. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-23535-1_9

Bayesian classifiers for positive unlabeled learning

2010

Journal Article

Cyber physical power systems: Architecture, implementation techniques and challenges

Zhao, J., Wen, F., Xue, Y., Li, X. and Dong, Z. (2010). Cyber physical power systems: Architecture, implementation techniques and challenges. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 34 (16), 1-7.

Cyber physical power systems: Architecture, implementation techniques and challenges

2010

Journal Article

Unified collaborative filtering model based on combination of latent features

Zhong, JA and Li, X (2010). Unified collaborative filtering model based on combination of latent features. Expert Systems with Applications, 37 (8), 5666-5672. doi: 10.1016/j.eswa.2010.02.044

Unified collaborative filtering model based on combination of latent features

2010

Journal Article

Trust in RFID-enabled supply-chain management

Mahinderjit-Singh, Manmeet and Li, Xue (2010). Trust in RFID-enabled supply-chain management. International Journal of Security and Networks, 5 (2/3), 96-105. doi: 10.1504/IJSN.2010.032208

Trust in RFID-enabled supply-chain management

2010

Conference Publication

Classifier ensemble for uncertain data stream classification

Pan, SR, Wu, KA, Zhang, Y and Li, X (2010). Classifier ensemble for uncertain data stream classification. 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2010), Hyderabad, India, 21-24 June 2010. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-13657-3_52

Classifier ensemble for uncertain data stream classification

2010

Conference Publication

A novel Chinese text feature selection method based on probability latent semantic analysis

Zhong, Jiang, Deng, Xiongbing, Liu, Jie, Li, Xue and Liang, Chuanwei (2010). A novel Chinese text feature selection method based on probability latent semantic analysis. The Seventh International Symposium on Neural Networks (ISNN 2010), Shangai, China, 6-9 June, 2010. Berlin & Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-13318-3_35

A novel Chinese text feature selection method based on probability latent semantic analysis

2010

Conference Publication

On improving learning outcomes through sharing of learning experiences

Wan, Au Thien, Sadiq, Shazia and Li, Xue (2010). On improving learning outcomes through sharing of learning experiences. 10th IEEE International Conference on Advanced Learning Technologies, ICALT 2010, Sousse, Tunisia, 5-7 July 2010. Piscataway, NJ, United States: IEEE Computer Society Conference Publishing Services (CPS). doi: 10.1109/ICALT.2010.134

On improving learning outcomes through sharing of learning experiences

2010

Conference Publication

Naive Bayes classifier for positive unlabeled learning with uncertainty

He, Jiazhen, Zhang, Yang, Li, Xue and Wang, Yong (2010). Naive Bayes classifier for positive unlabeled learning with uncertainty. The Tenth SIAM International Conference on Data Mining (SDM10), Columbus, Ohio, United States, 29 April - 1 May 2010. Philadelphia, PA, United States: Society for Industrial and Applied Mathematics (SIAM). doi: 10.1137/1.9781611972801.32

Naive Bayes classifier for positive unlabeled learning with uncertainty

2010

Conference Publication

Associative classifier for uncertain data

Qin, XJ, Zhang, Y, Li, X and Wang, Y (2010). Associative classifier for uncertain data. 11th International Conference on Web-Age Information Management (WAIM 2010), Jiuzhaigou, China, 15-17 July 2010. Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-14246-8_66

Associative classifier for uncertain data

2010

Book Chapter

Event management of RFID data streams: Fast moving consumer goods supply chains

Mo, John P. T. and Li, Xue (2010). Event management of RFID data streams: Fast moving consumer goods supply chains. Unique radio innovation for the 21st Century: Building scalable and global RFID networks. (pp. 89-109) edited by Damith C. Ranasinghe, Quan Z. Sheng and Sherali Zeadally. Berlin, Heidelberg: Springer-Verlag. doi: 10.1007/978-3-642-03462-6

Event management of RFID data streams: Fast moving consumer goods supply chains

2009

Journal Article

Ambiguous decision trees for mining concept-drifting data streams

Liu, Jing, Li, Xue and Zhong, Weicai (2009). Ambiguous decision trees for mining concept-drifting data streams. Pattern Recognition Letters, 30 (15), 1347-1355. doi: 10.1016/j.patrec.2009.07.017

Ambiguous decision trees for mining concept-drifting data streams

2009

Journal Article

Instance optimal query processing in spatial networks

Deng, Ke, Zhou, Xiaofeng, Shen, Heng Tao, Sadiq, Shazia and Li, Xue (2009). Instance optimal query processing in spatial networks. The VLDB Journal, 18 (3), 675-693. doi: 10.1007/s00778-008-0115-0

Instance optimal query processing in spatial networks

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

    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

    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

  • 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

  • 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

Completed supervision

Enquiries

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