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)

121 - 140 of 363 works

2018

Conference Publication

TADA: trend alignment with dual-attention multi-task recurrent neural networks for sales prediction

Chen, Tong, Yin, Hongzhi, Chen, Hongxu, Wu, Lin, Wang, Hao, Zhou, Xiaofang and Li, Xue (2018). TADA: trend alignment with dual-attention multi-task recurrent neural networks for sales prediction. 18th IEEE International Conference on Data Mining, ICDM 2018, Singapore, 17-20 November 2018. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ICDM.2018.00020

TADA: trend alignment with dual-attention multi-task recurrent neural networks for sales prediction

2018

Journal Article

Deep adaptive feature embedding with local sample distributions for person re-identification

Wu, Lin, Wang, Yang, Gao, Junbin and Li, Xue (2018). Deep adaptive feature embedding with local sample distributions for person re-identification. Pattern Recognition, 73, 275-288. doi: 10.1016/j.patcog.2017.08.029

Deep adaptive feature embedding with local sample distributions for person re-identification

2018

Conference Publication

EEG-based motion intention recognition via multi-task RNNs

Chen, Weitong, Wang, Sen, Zhang, Xiang, Yao, Lina, Yue, Lin, Qian, Buyue and Li, Xue (2018). EEG-based motion intention recognition via multi-task RNNs. 2018 SIAM International Conference on Data Mining, SDM 2018, San Diego, CA, United States, 3-5 May 2018. Society for Industrial and Applied Mathematics Publications. doi: 10.1137/1.9781611975321.32

EEG-based motion intention recognition via multi-task RNNs

2018

Conference Publication

Interesting recommendations based on hierarchical visualizations of medical data

Ibrahim, Ibrahim A., Almars, Abdulqader M., Pokharel, Suresh, Zhao, Xin and Li, Xue (2018). Interesting recommendations based on hierarchical visualizations of medical data. 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2018, Melbourne, VIC Australia, June 3 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-04503-6_6

Interesting recommendations based on hierarchical visualizations of medical data

2018

Conference Publication

Rumor detection via recurrent neural networks: a case study on adaptivity with varied data compositions

Chen, Tong, Chen, Hongxu and Li, Xue (2018). Rumor detection via recurrent neural networks: a case study on adaptivity with varied data compositions. 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2018, Melbourne, VIC, Australia, 3 June 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-04503-6_10

Rumor detection via recurrent neural networks: a case study on adaptivity with varied data compositions

2018

Journal Article

Preface

Li, Xue, Gama, Joao, Chen, Bing, Chen, Songcan, Wang, Shuliang and Zhu, Xingquan Hill (2018). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11323 LNAI, v-vi.

Preface

2018

Conference Publication

Automated explanations of user-expected trends for aggregate queries

Ibrahim, Ibrahim A., Li, Xue, Zhao, Xin, Maskari, Sanad Al, Albarrak, Abdullah M. and Zhang, Yanjun (2018). Automated explanations of user-expected trends for aggregate queries. Pacific-Asia Conference, PAKDD, Melbourne, VIC, Australia, 3-6 June 2018. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-93034-3_48

Automated explanations of user-expected trends for aggregate queries

2018

Conference Publication

Streaming graph partitioning for large graphs with limited memory

Li, Qi, Zhong, Jiang, Zheng, Linjiang and Li, Xue (2018). Streaming graph partitioning for large graphs with limited memory. 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017, Guangzhou, China, 12-15 December 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ISPA/IUCC.2017.00193

Streaming graph partitioning for large graphs with limited memory

2018

Conference Publication

Similarity computing on electronic health records

Pokharel, Suresh, Li, Xue, Zhao, Zin, Adhikari, Anoj and Li, Yu (2018). Similarity computing on electronic health records. Pacific Asia Conference on Information Systems, Yokohama, Japan, 26 - 30 June 2018. Pacific Asia Conference on Information Systems.

Similarity computing on electronic health records

2018

Conference Publication

Vertical and sequential sentiment analysis of micro-blog topic

Wan, Shuo, Li, Bohan, Zhang, Anman, Wang, Kai and Li, Xue (2018). Vertical and sequential sentiment analysis of micro-blog topic. 14th International Conference on Advanced Data Mining and Applications, ADMA 2018, Nanjing, China, 16-18 November 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-05090-0_30

Vertical and sequential sentiment analysis of micro-blog topic

2018

Book Chapter

E-nose pattern recognition and drift compensation methods

Maskari, Sanad Al and Li, Xue (2018). E-nose pattern recognition and drift compensation methods. Electronic nose technologies and advances in machine olfaction. (pp. 38-57) edited by Yousif Albastaki and Fatema Albalooshi. Hershey, PA, United States: IGI Global. doi: 10.4018/978-1-5225-3862-2.ch003

E-nose pattern recognition and drift compensation methods

2018

Conference Publication

Feature extraction for smart sensing using multi-perspectives transformation

Al-Maskari, Sanad, Ibrahim, Ibrahim A., Li, Xue, Abusham, Eimad and Almars, Abdulqader (2018). Feature extraction for smart sensing using multi-perspectives transformation. Australasian Database Conference, Gold Coast, QLD, Australia, 24-27 May 2018. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-92013-9_19

Feature extraction for smart sensing using multi-perspectives transformation

2018

Conference Publication

Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit

Chen, Weitong, Wang, Sen, Long, Guodong, Yao, Lina, Sheng, Quan Z. and Li, Xue (2018). Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit. 18th IEEE International Conference on Data Mining, ICDM 2018, Singapore, 17 - 20 November 2018. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM.2018.00111

Dynamic Illness Severity Prediction via Multi-task RNNs for Intensive Care Unit

2018

Conference Publication

PME: projected metric embedding on heterogeneous networks for link prediction

Chen, Hongxu, Wang, Hao, Yin, Hongzhi, Nguyen, Quoc Viet Hung, Wang, Weiqing and Li, Xue (2018). PME: projected metric embedding on heterogeneous networks for link prediction. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2018, London, United Kingdom, 19 - 23 August 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3219819.3219986

PME: projected metric embedding on heterogeneous networks for link prediction

2018

Conference Publication

Learning Concept Hierarchy from Short Texts Using Context Coherence

Almars, Abdulqader, Li, Xue, Ibrahim, Ibrahim A. and Zhao, Xin (2018). Learning Concept Hierarchy from Short Texts Using Context Coherence. 19th International Conference on Web Information Systems Engineering, WISE 2018, Dubai, United Arab Emirates, 12 - 15 November 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-02922-7_22

Learning Concept Hierarchy from Short Texts Using Context Coherence

2017

Journal Article

Structured deep hashing with convolutional neural networks for fast person re-identification

Wu, Lin , Wang, Yang, Ge, Zongyuan, Hu, Qichang and Li, Xue (2017). Structured deep hashing with convolutional neural networks for fast person re-identification. Computer Vision and Image Understanding, 167, 63-73. doi: 10.1016/j.cviu.2017.11.009

Structured deep hashing with convolutional neural networks for fast person re-identification

2017

Journal Article

基于启发策略的动态平衡图划分算法

Li, Qi, Zhong, Jiang and Li, Xue (2017). 基于启发策略的动态平衡图划分算法. Jisuanji Yanjiu yu Fazhan, 54 (12), 2851-2857. doi: 10.7544/issn1000-1239.2017.20160690

基于启发策略的动态平衡图划分算法

2017

Journal Article

Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things

Yao, Lina, Sheng, Quan Z., Ngu, Anne H.H., Li, Xue and Benattalah, Boualem (2017). Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things. Acm Transactions On Intelligent Systems and Technology, 8 (5) 62, 1-25. doi: 10.1145/3035967

Unveiling Correlations via Mining Human-Thing Interactions in the Web of Things

2017

Journal Article

Answering why-not questions on semantic multimedia queries

Wang, Meng, Chen, Weitong, Wang, Sen, Liu, Jun, Li, Xue and Stantic, Bela (2017). Answering why-not questions on semantic multimedia queries. Multimedia Tools and Applications, 77 (3), 3405-3429. doi: 10.1007/s11042-017-5151-6

Answering why-not questions on semantic multimedia queries

2017

Journal Article

A multiview learning framework with a linear computational cost

Xue, Xiaowei, Nie, Feiping, Li, Zhihui, Wang, Sen, Li, Xue and Yao, Min (2017). A multiview learning framework with a linear computational cost. IEEE Transactions on Cybernetics, 48 (8), 2416-2425. doi: 10.1109/TCYB.2017.2739423

A multiview learning framework with a linear computational cost

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

    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

    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

    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

  • 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

Completed supervision

Enquiries

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