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)

161 - 180 of 363 works

2016

Journal Article

Multi-task support vector machines for feature selection with shared knowledge discovery

Wang, Sen, Chang, Xiaojun, Li, Xue, Sheng, Quan Z. and Chen, Weitong (2016). Multi-task support vector machines for feature selection with shared knowledge discovery. Signal Processing, 120, 746-753. doi: 10.1016/j.sigpro.2014.12.012

Multi-task support vector machines for feature selection with shared knowledge discovery

2016

Journal Article

An approach to feature selection for continuous features of objects

Hong-Wei, Wang, Guo-He, Li and Xue, Li (2016). An approach to feature selection for continuous features of objects. International Journal of Multimedia and Ubiquitous Engineering, 11 (4), 67-78. doi: 10.14257/ijmue.2016.11.4.08

An approach to feature selection for continuous features of objects

2016

Conference Publication

Learning from less for better: semi-supervised activity recognition via shared structure discovery

Yao, Lina, Nie, Feiping, Sheng, Quan Z., Gu, Tao, Li, Xue and Wang, Sen (2016). Learning from less for better: semi-supervised activity recognition via shared structure discovery. 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016, Heidelberg, Germany, 12-16 September 2016. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/2971648.2971701

Learning from less for better: semi-supervised activity recognition via shared structure discovery

2016

Conference Publication

Classification based on compressive multivariate time series

Utomo, Chandra, Li, Xue and Wang, Sen (2016). Classification based on compressive multivariate time series. 27th Australasian Database Conference on Databases Theory and Applications, ADC 2016, Sydney Australia, 28-29 September 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-46922-5_16

Classification based on compressive multivariate time series

2016

Conference Publication

When sensor meets tensor: filling missing sensor values through a tensor approach

Ruan, Wenjie, Xu, Peipei, Sheng, Quan Z., Tran, Nguyen Khoi, Falkner, Nickolas J. G., Li, Xue and Zhang, Wei Emma (2016). When sensor meets tensor: filling missing sensor values through a tensor approach. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983900

When sensor meets tensor: filling missing sensor values through a tensor approach

2016

Conference Publication

Outlier detection via minimum spanning tree

Tang, Xin, Huang, Wei, Li, Xue, Li, Shengli and Liu, Yuewen (2016). Outlier detection via minimum spanning tree. Pacific Asia Conference on Information Systems, PACIS, Chiayi, Taiwan, 27 June - 1 July 2016. Pacific Asia Conference on Information Systems.

Outlier detection via minimum spanning tree

2016

Conference Publication

Forecasting seasonal time series using weighted gradient RBF network based autoregressive model

Ruan, Wenjie, Sheng, Quan Z., Xu, Peipei, Tran, Nguyen Khoi, Falkner, Nickolas J. G., Li, Xue and Zhang, Wei Emma (2016). Forecasting seasonal time series using weighted gradient RBF network based autoregressive model. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983899

Forecasting seasonal time series using weighted gradient RBF network based autoregressive model

2016

Conference Publication

Unobtrusive posture recognition via online learning of multi-dimensional RFID received signal strength

Yao, Lina, Sheng, Quan Z., Ruan, Wenjie, Li, Xue, Wang, Sen and Yang, Zhi (2016). Unobtrusive posture recognition via online learning of multi-dimensional RFID received signal strength. 2015 IEEE 21st International Conference on Parallel and Distributed Systems, ICPADS 2015, Melbourne, Victoria, Australia, 14- 17 December 2015. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICPADS.2015.23

Unobtrusive posture recognition via online learning of multi-dimensional RFID received signal strength

2016

Conference Publication

Empowering truth discovery with multi-truth prediction

Wang, Xianzhi, Sheng, Quan Z., Yao, Lina, Li, Xue, Fang, Xiu Susie, Xu, Xiaofei and Benatallah, Boualem (2016). Empowering truth discovery with multi-truth prediction. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983767

Empowering truth discovery with multi-truth prediction

2016

Conference Publication

Preface

Li, Jinyan, Li, Xue and Wang, Shuliang (2016). Preface. 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, Gold Coast, QLD, Australia, 12 - 15 December 2016. Berlin, Germany: Springer Verlag. doi: 10.1007/978-3-319-49586-6

Preface

2016

Conference Publication

Freedom: online activity recognition via dictionary-based sparse representation of RFID sensing data

Yao, Lina, Sheng, Quan Z., Li, Xue, Wang, Sen, Gu, Tao, Ruan, Wenjie and Zou, Wan (2016). Freedom: online activity recognition via dictionary-based sparse representation of RFID sensing data. 15th IEEE International Conference on Data Mining, ICDM 2015, Atlantic City, United States, 14-17 November 2015. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICDM.2015.102

Freedom: online activity recognition via dictionary-based sparse representation of RFID sensing data

2016

Conference Publication

Truth discovery via exploiting implications from multi-source data

Wang, Xianzhi, Sheng, Quan Z., Yao, Lina, Li, Xue, Fang, Xiu Susie, Xu, Xiaofei and Benatallah, Boualem (2016). Truth discovery via exploiting implications from multi-source data. 25th ACM International Conference on Information and Knowledge Management, CIKM 2016, Indianapolis, IN, United States, 24 - 28 October 2016. New York, NY, United States: ACM. doi: 10.1145/2983323.2983791

Truth discovery via exploiting implications from multi-source data

2016

Conference Publication

Classification with quantification for air quality monitoring

Al-Maskari, Sanad, Belisle, Eve, Li, Xue, Le Digabel, Sebastien, Nawahda, Amin and Zhong, Jiang (2016). Classification with quantification for air quality monitoring. 20th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2016, Auckland, New Zealand, 19 - 22 April 2016. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-31753-3_46

Classification with quantification for air quality monitoring

2015

Journal Article

Multi-label classification via learning a unified object-label graph with sparse representation

Yao, Lina, Sheng, Quan Z., Ngu, Anne H.H., Gao, Byron J., Li, Xue and Wang, Sen (2015). Multi-label classification via learning a unified object-label graph with sparse representation. World Wide Web, 19 (6), 1-25. doi: 10.1007/s11280-015-0376-7

Multi-label classification via learning a unified object-label graph with sparse representation

2015

Journal Article

Compact representation for large-scale unconstrained video analysis

Wang, Sen, Pan, Pingbo, Long, Guodong, Chen, Weitong, Li, Xue and Sheng, Quan Z. (2015). Compact representation for large-scale unconstrained video analysis. World Wide Web, 19 (2), 231-246. doi: 10.1007/s11280-015-0354-0

Compact representation for large-scale unconstrained video analysis

2015

Journal Article

Personal health indexing based on medical examinations: a data mining approach

Chen, Ling, Li, Xue, Yang, Yi, Kurniawati, Hanna, Sheng, Quan Z., Hu, Hsiao-Yun and Huang, Nicole (2015). Personal health indexing based on medical examinations: a data mining approach. Decision Support Systems, 81, 54-65. doi: 10.1016/j.dss.2015.10.008

Personal health indexing based on medical examinations: a data mining approach

2015

Conference Publication

Unsupervised feature analysis with class margin optimization

Wang, Sen, Nie, Feiping, Chang, Xiaojun, Yao, Lina, Li, Xue and Sheng, Quan Z. (2015). Unsupervised feature analysis with class margin optimization. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Porto, Portugal, 7-11 September 2015. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-23528-8_24

Unsupervised feature analysis with class margin optimization

2015

Conference Publication

RF-care: device-free posture recognition for elderly people using a passive RFID tag array

Yao, Lina, Sheng, Quan Z., Ruan, Wenjie, Gu, Tao, Li, Xue, Falkner, Nickolas J.G. and Yang, Zhi (2015). RF-care: device-free posture recognition for elderly people using a passive RFID tag array. 12th International Conference on Mobile and Ubiquitous Systems, Coimbra, Portugal, 22-24 July 2015. ICST. doi: 10.4108/icst.mobiquitous.2015.260064

RF-care: device-free posture recognition for elderly people using a passive RFID tag array

2015

Conference Publication

An integrated Bayesian approach for effective multi-truth discovery

Wang, Xianzhi, Sheng, Quan Z., Fang, Xiu Susie, Yao, Lina, Xu, Xiaofei and Li, Xue (2015). An integrated Bayesian approach for effective multi-truth discovery. 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, Australia, 19-23 October 2015. New York, NY United States: The Association for Computing Machinery. doi: 10.1145/2806416.2806443

An integrated Bayesian approach for effective multi-truth discovery

2015

Conference Publication

TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags

Ruan, Wenjie, Yao, Lina, Sheng, Quan Z., Falkner, Nickolas J.G., Li, Xue and Gu, Tao (2015). TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags. MOBIQUITOUS 2015, Coimbra, Portugal, 22-24 July 2015. Gent, Belgium: ICST. doi: 10.4108/eai.22-7-2015.2260072

TagFall: Towards Unobstructive Fine-Grained Fall Detection based on UHF Passive RFID Tags

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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