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

375 works between 2001 and 2026
All (375) Book (1) Journal Article (151) Other Outputs (1) Edited Outputs (5) Conference Publication (207) Book Chapter (10)

161 - 180 of 375 works

2017

Conference Publication

Uncovering locally discriminative structure for feature analysis

Wang, Sen, Nie, Feiping, Chang, Xiaojun, Li, Xue, Sheng, Quan Z. and Yao, Lina (2017). Uncovering locally discriminative structure for feature analysis. 15th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2016, Riva del Garda, Italy, 19 - 23 September 2016. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-46128-1_18

Uncovering locally discriminative structure for feature analysis

2017

Conference Publication

Structured sentiment analysis

Almars, Abdulqader, Li, Xue, Zhao, Xin, Ibrahim, Ibrahim A., Yuan, Weiwei and Li, Bohan (2017). Structured sentiment analysis. 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, Singapore, Singapore, 5–6 November 2017. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-69179-4_49

Structured sentiment analysis

2017

Conference Publication

People opinion topic model: opinion based user clustering in social networks

Chen, Hongxu, Yin, Hongzhi, Li, Xue, Wang, Meng, Chen, Weitong and Chen, Tong (2017). People opinion topic model: opinion based user clustering in social networks. International Conference on World Wide Web Companion, Perth, Australia, 3-7 April 2017. Geneva, Switzerland: International World Wide Web Conferences Steering Committee. doi: 10.1145/3041021.3051159

People opinion topic model: opinion based user clustering in social networks

2016

Conference Publication

Opinion search engine

Li, Xue (2016). Opinion search engine. 14th Australasian Data Mining Conference, AusDM 2016, Canberra, ACT, Australia, 6 - 8 December 2016. Brisbane, QLD, Australia: Australian Computer Society.

Opinion search engine

2016

Journal Article

Diagnosis code assignment using sparsity-based disease correlation embedding

Wang, Sen, Chang, Xiaojun, Li, Xue, Long, Guodong, Yao, Lina and Sheng, Quan Z. (2016). Diagnosis code assignment using sparsity-based disease correlation embedding. IEEE Transactions on Knowledge and Data Engineering, 28 (12), 3191-3202. doi: 10.1109/TKDE.2016.2605687

Diagnosis code assignment using sparsity-based disease correlation embedding

2016

Journal Article

Constrained recommendations for query visualizations

Ibrahim, Ibrahim A., Albarrak, Abdullah M. and Li, Xue (2016). Constrained recommendations for query visualizations. Knowledge and Information Systems, 51 (2), 1-31. doi: 10.1007/s10115-016-1001-5

Constrained recommendations for query visualizations

2016

Journal Article

Mining health examination records - a graph-based approach

Chen, Ling, Li, Xue, Sheng, Quan Z, Peng, Wen-Chih, Bennett, John, Hu, Hsiao-Yun and Huang, Nicole (2016). Mining health examination records - a graph-based approach. IEEE Transactions on Knowledge and Data Engineering, 28 (9) 7463501, 2423-2437. doi: 10.1109/TKDE.2016.2561278

Mining health examination records - a graph-based approach

2016

Journal Article

Guest editorial: web of things

Sheng, Quan Z., Li, Xue, Ngu, Anne H. H., Qin, Yongrui and Xie, Dong (2016). Guest editorial: web of things. Information Systems Frontiers, 18 (4), 639-643. doi: 10.1007/s10796-016-9677-3

Guest editorial: web of things

2016

Journal Article

Fast distant support vector data description

Ling, Ping, You, Xiangyang, Gao, Dajin, Gao, Tao and Li, Xue (2016). Fast distant support vector data description. Memetic Computing, 9 (1), 1-12. doi: 10.1007/s12293-016-0189-y

Fast distant support vector data description

2016

Journal Article

Things of interest recommendation by leveraging heterogeneous relations in the internet of things

Yao, Lina, Sheng, Quan Z., Ngu, Anne H. H. and Li, Xue (2016). Things of interest recommendation by leveraging heterogeneous relations in the internet of things. ACM Transactions on Internet Technology, 16 (2) 9, 1-25. doi: 10.1145/2837024

Things of interest recommendation by leveraging heterogeneous relations in the internet of things

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

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

Current funding

  • 2026 - 2027
    Authentication and Provenance of Manipulated Media with Justification and Explanation for Non-Expert Users
    Australia's Economic Accelerator Ignite Grants
    Open grant

Past funding

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

    Entity Alignment for Evolving Temporal Knowledge Graphs

    Principal Advisor

  • Doctor Philosophy

    Behaviour-Oriented Tracking of Disinformation

    Principal Advisor

    Other advisors: Dr Ruihong Qiu, Dr Priyanka Singh

  • 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

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

    Principal Advisor

  • Master Philosophy

    Mapping Emerging Narratives Composed of False Information

    Principal Advisor

    Other advisors: Dr Priyanka Singh

  • Doctor Philosophy

    Empowering Recommender Systems via User Behaviour Simulation

    Principal Advisor

    Other advisors: Associate Professor Rocky Chen, Dr Priyanka Singh

  • Doctor Philosophy

    Robust Collaborative Learning with Data Silos

    Principal Advisor

    Other advisors: Dr Priyanka Singh

  • Doctor Philosophy

    High-Order Reasoning Chatbot for Critical Decisions

    Principal Advisor

  • Doctor Philosophy

    Privacy preservation with Large Language Models

    Associate Advisor

    Other advisors: Dr Priyanka Singh

  • Doctor Philosophy

    Graph Mining for Legal Case Retrieval

    Associate Advisor

    Other advisors: Professor Helen Huang

  • Doctor Philosophy

    Short Sequence Representation Learning with Limited Supervision

    Associate Advisor

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

  • Doctor Philosophy

    Understanding Privacy Concerns About Living in Smart Cities and Enhancing Privacy Awareness

    Associate Advisor

    Other advisors: Dr Priyanka Singh

  • Doctor Philosophy

    Effective and Versatile Multimodal Fusion

    Associate Advisor

    Other advisors: Dr Priyanka Singh

Completed supervision

Enquiries

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