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

362 works between 2001 and 2025
All (362) Journal Article (150) Book Chapter (9) Conference Publication (196) Book (1) Other Outputs (1) Edited Outputs (5)

61 - 80 of 362 works

2021

Conference Publication

Source-Style Transferred Mean Teacher for Source-data Free Object Detection

Zhang, Dan, Ye, Mao, Xiong, Lin, Li, Shuaifeng and Li, Xue (2021). Source-Style Transferred Mean Teacher for Source-data Free Object Detection. MMAsia '21: ACM Multimedia Asia, Gold Coast, QLD Australia, 1 - 3 December 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3469877.3490584

Source-Style Transferred Mean Teacher for Source-data Free Object Detection

2021

Journal Article

Learning various length dependence by dual recurrent neural networks

Zhang, Chenpeng, Li, Shuai, Ye, Mao, Zhu, Ce and Li, Xue (2021). Learning various length dependence by dual recurrent neural networks. Neurocomputing, 466, 1-15. doi: 10.1016/j.neucom.2021.09.043

Learning various length dependence by dual recurrent neural networks

2021

Journal Article

Deep dynamic imputation of clinical time series for mortality prediction

Shi, Zhenkun, Wang, Sen, Yue, Lin, Pang, Lixin, Zuo, Xianglin, Zuo, Wanli and Li, Xue (2021). Deep dynamic imputation of clinical time series for mortality prediction. Information Sciences, 579, 607-622. doi: 10.1016/j.ins.2021.08.016

Deep dynamic imputation of clinical time series for mortality prediction

2021

Conference Publication

Multi-hop reading on memory neural network with selective coverage for medication recommendation

Wang, Yanda, Chen, Weitong, Pi, Dechang, Yue, Lin, Xu, Miao and Li, Xue (2021). Multi-hop reading on memory neural network with selective coverage for medication recommendation. ACM International Conference on Information & Knowledge Management, Virtual Event, 1-5 November 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3459637.3482278

Multi-hop reading on memory neural network with selective coverage for medication recommendation

2021

Conference Publication

Privacy-preserving gradient descent for distributed genome-wide analysis

Zhang, Yanjun, Bai, Guangdong, Li, Xue, Curtis, Caitlin, Chen, Chen and Ko, Ryan K. L. (2021). Privacy-preserving gradient descent for distributed genome-wide analysis. ESORICS 2021 - 26th European Symposium on Research in Computer Security, Darmstadt, Germany, 4–8 October, 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-88428-4_20

Privacy-preserving gradient descent for distributed genome-wide analysis

2021

Journal Article

Source data‐free domain adaptation of object detector through domain‐specific perturbation

Xiong, Lin, Ye, Mao, Zhang, Dan, Gan, Yan, Li, Xue and Zhu, Yingying (2021). Source data‐free domain adaptation of object detector through domain‐specific perturbation. International Journal of Intelligent Systems, 36 (8), 3746-3766. doi: 10.1002/int.22434

Source data‐free domain adaptation of object detector through domain‐specific perturbation

2021

Journal Article

Prediction of mechanical properties of wrought aluminium alloys using feature engineering assisted machine learning approach

Hu, Mingwei, Tan, Qiyang, Knibbe, Ruth, Wang, Sen, Li, Xue, Wu, Tianqi, Jarin, Sams and Zhang, Ming-Xing (2021). Prediction of mechanical properties of wrought aluminium alloys using feature engineering assisted machine learning approach. Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science, 52 (7), 2873-2884. doi: 10.1007/s11661-021-06279-5

Prediction of mechanical properties of wrought aluminium alloys using feature engineering assisted machine learning approach

2021

Journal Article

Suicidal ideation and mental disorder detection with attentive relation networks

Ji, Shaoxiong, Li, Xue, Huang, Zi and Cambria, Erik (2021). Suicidal ideation and mental disorder detection with attentive relation networks. Neural Computing and Applications, 34 (13), 10309-10319. doi: 10.1007/s00521-021-06208-y

Suicidal ideation and mental disorder detection with attentive relation networks

2021

Conference Publication

Alignment-Free Video Compression Artifact Reduction

Luo, Dengyan, Ye, Mao, Chen, Shengjie and Li, Xue (2021). Alignment-Free Video Compression Artifact Reduction. IEEE International Conference on Visual Communications and Image Processing (VCIP) - Visual Communications in the Era of AI and Limited Resources, Munich, Germany, 5-8 December 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/VCIP53242.2021.9675384

Alignment-Free Video Compression Artifact Reduction

2021

Conference Publication

Welcome from the ICBK 2021 Chairs

Chen, Lei, Manjon, Baltasar Fernandez, Gong, Zhiguo, Li, Xue, Öǧüdücü, Sule Gündüz and Wu, Xindong (2021). Welcome from the ICBK 2021 Chairs. 12th IEEE International Conference on Big Knowledge, ICBK 2021, Auckland, New Zealand, 7-8 December 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICKG52313.2021.00005

Welcome from the ICBK 2021 Chairs

2020

Conference Publication

Learning causal Bayesian networks from text

Moghimifar, Farhad, Rahimi, Afshin, Baktashmotlagh, Mahsa and Li, Xue (2020). Learning causal Bayesian networks from text. The 18th Annual Workshop of the Australasian Language Technology Association, Virtual, 14-15 January 2021. Australasian Language Technology Association.

Learning causal Bayesian networks from text

2020

Journal Article

Suicidal ideation detection: a review of machine learning methods and applications

Ji, Shaoxiong, Pan, Shirui, Li, Xue, Cambria, Erik, Long, Guodong and Huang, Zi (2020). Suicidal ideation detection: a review of machine learning methods and applications. IEEE Transactions on Computational Social Systems, 8 (1) 9199553, 214-226. doi: 10.1109/tcss.2020.3021467

Suicidal ideation detection: a review of machine learning methods and applications

2020

Journal Article

A time-critical topic model for predicting the survival time of sepsis patients

Guo, Wenping, Xu, Zhuoming, Ye, Xijian, Zhang, Shiqing, Zhao, Xiaoming and Li, Xue (2020). A time-critical topic model for predicting the survival time of sepsis patients. Scientific Programming, 2020 (1) 8884539, 1-13. doi: 10.1155/2020/8884539

A time-critical topic model for predicting the survival time of sepsis patients

2020

Journal Article

Bidirectional generative transductive zero-shot learning

Li, Xinpeng, Zhang, Dan, Ye, Mao, Li, Xue, Dou, Qiang and Lv, Qiao (2020). Bidirectional generative transductive zero-shot learning. Neural Computing and Applications, 33 (10), 5313-5326. doi: 10.1007/s00521-020-05322-7

Bidirectional generative transductive zero-shot learning

2020

Journal Article

Editorial for application-driven knowledge acquisition

Li, Xue, Wang, Sen and Li, Bohan (2020). Editorial for application-driven knowledge acquisition. World Wide Web, 23 (5), 2649-2651. doi: 10.1007/s11280-020-00827-6

Editorial for application-driven knowledge acquisition

2020

Journal Article

Temporal tree representation for similarity computation between medical patients

Pokharel, Suresh, Zuccon, Guido, Li, Xue, Utomo, Chandra Prasetyo and Li, Yu (2020). Temporal tree representation for similarity computation between medical patients. Artificial Intelligence in Medicine, 108 101900, 101900. doi: 10.1016/j.artmed.2020.101900

Temporal tree representation for similarity computation between medical patients

2020

Other Outputs

PrivColl: Practical Privacy-Preserving Collaborative Machine Learning

Zhang, Yanjun, Bai, Guangdong, Li, Xue, Curtis, Caitlin, Chen, Chen and Ko, Ryan KL (2020). PrivColl: Practical Privacy-Preserving Collaborative Machine Learning.

PrivColl: Practical Privacy-Preserving Collaborative Machine Learning

2020

Journal Article

Differentially private collaborative coupling learning for recommender systems

Zhang, Yanjun, Bai, Guangdong, Zhong, Mingyang, Li, Xue and Ko, Ryan K. L. (2020). Differentially private collaborative coupling learning for recommender systems. IEEE Intelligent Systems, 36 (1) 9130104, 1-1. doi: 10.1109/MIS.2020.3005930

Differentially private collaborative coupling learning for recommender systems

2020

Journal Article

Joint personalized Markov chains with social network embedding for cold-start recommendation

Zhang, Yijia, Shi, Zhenkun, Zuo, Wanli, Yue, Lin, Liang, Shining and Li, Xue (2020). Joint personalized Markov chains with social network embedding for cold-start recommendation. Neurocomputing, 386, 208-220. doi: 10.1016/j.neucom.2019.12.046

Joint personalized Markov chains with social network embedding for cold-start recommendation

2020

Journal Article

Social boosted recommendation with folded bipartite network embedding

Chen, Hongxu, Yin, Hongzhi, Chen, Tong, Wang, Weiqing, Li, Xue and Hu, Xia (2020). Social boosted recommendation with folded bipartite network embedding. IEEE Transactions on Knowledge and Data Engineering, 34 (2), 914-926. doi: 10.1109/tkde.2020.2982878

Social boosted recommendation with folded bipartite network embedding

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

    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

    Weighted Ensembles for Different machine learning model that support non-data-sharing / vertical partition

    Principal 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

  • Master Philosophy

    Multi-modal Detection of Video Disinformation

    Associate Advisor

    Other advisors: Dr Priyanka Singh

Completed supervision

Enquiries

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