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)

141 - 160 of 375 works

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

2018

Conference Publication

Call attention to rumors: deep attention based recurrent neural networks for early rumor detection

Chen, Tong, Li, Xue, Yin, Hongzhi and Zhang, Jun (2018). Call attention to rumors: deep attention based recurrent neural networks for early rumor detection. 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_4

Call attention to rumors: deep attention based recurrent neural networks for early rumor detection

2018

Conference Publication

Treatment recommendation in critical care: a scalable and interpretable approach in partially observable health states

Utomo, Chandra Prasetyo, Li, Xue and Chen, Weitong (2018). Treatment recommendation in critical care: a scalable and interpretable approach in partially observable health states. 39th International Conference on Information Systems, ICIS 2018, San Francisco, CA United States, 13-16 December 2018. Atlanta, GA United States: Association for Information Systems.

Treatment recommendation in critical care: a scalable and interpretable approach in partially observable health states

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

2017

Journal Article

Collaborative text categorization via exploiting sparse coefficients

Yao, Lina, Sheng, Quan Z., Wang, Xianzhi, Wang, Shengrui, Li, Xue and Wang, Sen (2017). Collaborative text categorization via exploiting sparse coefficients. World Wide Web: internet and web information systems, 21 (2), 1-22. doi: 10.1007/s11280-017-0460-2

Collaborative text categorization via exploiting sparse coefficients

2017

Journal Article

Learning multiple diagnosis codes for ICU patients with local disease correlation mining

Wang, Sen, Li, Xue, Chang, Xiaojun, Yao, Lina, Sheng, Quan Z. and Long, Guodong (2017). Learning multiple diagnosis codes for ICU patients with local disease correlation mining. ACM Transactions on Knowledge Discovery from Data, 11 (3) 31, 1-21. doi: 10.1145/3003729

Learning multiple diagnosis codes for ICU patients with local disease correlation mining

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

2017

Conference Publication

Advancing public health genomics

Li, Xue, Zhao, Xin and Zhong, Mingyang (2017). Advancing public health genomics. 2016 International Workshop on Big Data and Information Security, IWBIS 2016, Jakarta, Indonesia, 18 - 19 October 2016. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IWBIS.2016.7872883

Advancing public health genomics

2017

Conference Publication

Predicting clinical outcomes of Alzheimer’s disease from complex brain networks

Li, Xingjuan, Li, Yu and Li, Xue (2017). Predicting clinical outcomes of Alzheimer’s disease from complex brain networks. 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, Singapore,, November 5, 2017-November 6, 2017. CHAM: Springer Verlag. doi: 10.1007/978-3-319-69179-4_36

Predicting clinical outcomes of Alzheimer’s disease from complex brain networks

2017

Conference Publication

PDD graph: bridging electronic medical records and biomedical knowledge graphs via entity linking

Wang, Meng, Zhang, Jiaheng, Liu, Jun, Hu, Wei, Wang, Sen, Li, Xue and Liu, Wenqiang (2017). PDD graph: bridging electronic medical records and biomedical knowledge graphs via entity linking. The Semantic Web – ISWC 2017: 16th International Semantic Web Conference Vienna, Austria, October 21–25, 2017 Proceedings, Part II, Vienna, Austria, 21-25 October 2017. Cham, Switzerland: Springer Nature. doi: 10.1007/978-3-319-68204-4_23

PDD graph: bridging electronic medical records and biomedical knowledge graphs via entity linking

2017

Book Chapter

Building Entity Graphs for the Web of Things Management

Yao, Lina, Sheng, Quan Z., Ngu, Anne H.H., Li, Xue, Benatallah, Boualem and Wang, Xianzhi (2017). Building Entity Graphs for the Web of Things Management. Managing the Web of Things: Linking the Real World to the Web. (pp. 275-303) Cambridge, MA, United States: Elsevier . doi: 10.1016/B978-0-12-809764-9.00013-5

Building Entity Graphs for the Web of Things Management

2017

Conference Publication

Group recommender model based on preference interaction

Zheng, Wei, Li, Bohan, Wang, Yanan, Yin, Hongzhi, Li, Xue, Guan, Donghai and Qin, Xiaolin (2017). Group recommender model based on preference interaction. 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_10

Group recommender model based on preference interaction

2017

Conference Publication

Past, present, and future trend of GPU computing in deep learning on medical images

Haryanto, Toto, Suhartanto, Hem and Lie, Xue (2017). Past, present, and future trend of GPU computing in deep learning on medical images. 9th International Conference on Advanced Computer Science and Information Systems (ICACSIS), Jakarta, Indonesia, 28-29 October 2017. Piscataway, NJ, United States: IEEE. doi: 10.1109/ICACSIS.2017.8355007

Past, present, and future trend of GPU computing in deep learning on medical images

2017

Conference Publication

Recovering Missing Values from Corrupted Spatio-Temporal Sensory Data via Robust Low-Rank Tensor Completion

Ruan, Wenjie, Xu, Peipei, Sheng, Quan Z., Falkner, Nickolas J. G., Li, Xue and Zhang, Wei Emma (2017). Recovering Missing Values from Corrupted Spatio-Temporal Sensory Data via Robust Low-Rank Tensor Completion. 22nd International Conference on Database Systems for Advanced Applications (DASFAA), Suzhou Peoples R China, Mar 27-30, 2017. CHAM: SPRINGER INTERNATIONAL PUBLISHING AG. doi: 10.1007/978-3-319-55753-3_38

Recovering Missing Values from Corrupted Spatio-Temporal Sensory Data via Robust Low-Rank Tensor Completion

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

    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

    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

    Effective and Versatile Multimodal Fusion

    Associate Advisor

    Other advisors: Dr Priyanka Singh

  • 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

Completed supervision

Enquiries

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