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)

21 - 40 of 362 works

2024

Journal Article

Disentanglement then reconstruction: unsupervised domain adaptation by twice distribution alignments

Zhou, Lihua, Ye, Mao, Li, Xinpeng, Zhu, Ce, Liu, Yiguang and Li, Xue (2024). Disentanglement then reconstruction: unsupervised domain adaptation by twice distribution alignments. Expert Systems with Applications, 237 121498, 1-11. doi: 10.1016/j.eswa.2023.121498

Disentanglement then reconstruction: unsupervised domain adaptation by twice distribution alignments

2024

Conference Publication

Enhancing continual relation extraction with concept aware dynamic memory optimization

Zhou, Tianyu, Li, Rongzhen, Zhong, Jiang, Dai, Qizhu, Liu, Yuxuan and Li, Xue (2024). Enhancing continual relation extraction with concept aware dynamic memory optimization. 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, 30 August - 1 September 2024. Heidelberg, Germany: Springer. doi: 10.1007/978-981-97-7232-2_16

Enhancing continual relation extraction with concept aware dynamic memory optimization

2024

Conference Publication

CaseGNN: graph neural networks for legal case retrieval with text-attributed graphs

Tang, Yanran, Qiu, Ruihong, Liu, Yilun, Li, Xue and Huang, Zi (2024). CaseGNN: graph neural networks for legal case retrieval with text-attributed graphs. 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, United Kingdom, 24 - 28 March 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-56060-6_6

CaseGNN: graph neural networks for legal case retrieval with text-attributed graphs

2024

Conference Publication

Privacy-preserving disease prediction with secure data deduplication on untrusted cloud servers

Jain, Khushi, Singh, Priyanka and Li, Xue (2024). Privacy-preserving disease prediction with secure data deduplication on untrusted cloud servers. 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, CA, United States, 7 - 9 August 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/MIPR62202.2024.00114

Privacy-preserving disease prediction with secure data deduplication on untrusted cloud servers

2024

Journal Article

Adaptive class augmented prototype network for few-shot relation extraction

Li, Rongzhen, Zhong, Jiang, Hu, Wenyue, Dai, Qizhu, Wang, Chen, Wang, Wenzhu and Li, Xue (2024). Adaptive class augmented prototype network for few-shot relation extraction. Neural Networks, 169, 134-142. doi: 10.1016/j.neunet.2023.10.025

Adaptive class augmented prototype network for few-shot relation extraction

2024

Conference Publication

Event-content-oriented dialogue generation in short video

Cheng, Fenghua, Li, Xue, Huang, Zi, Wang, Jinxiang and Wang, Sen (2024). Event-content-oriented dialogue generation in short video. 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Mexico City, Mexico, 16-21 June 2024. Kerrville, TX, United States: Association for Computational Linguistics (ACL). doi: 10.18653/v1/2024.naacl-long.229

Event-content-oriented dialogue generation in short video

2024

Conference Publication

Facilitating message passing with potential links for knowledge graph completion

Yin, Hong, Zhong, Jiang, Li, Rongzhen, Wang, Jiaqi, Wang, Chen, Qizhu, Dai and Li, Xue (2024). Facilitating message passing with potential links for knowledge graph completion. International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, South Korea, 14-19 April 2024. Piscataway, NJ: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ICASSP48485.2024.10446669

Facilitating message passing with potential links for knowledge graph completion

2024

Conference Publication

CDER: Collaborative evidence retrieval for document-level relation extraction

Tran, Khai Phan and Li, Xue (2024). CDER: Collaborative evidence retrieval for document-level relation extraction. 16th Asian Conference, ACIIDS 2024, Ras Al Khaimah, UAE, 15-18 April 2024. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-97-4982-9_3

CDER: Collaborative evidence retrieval for document-level relation extraction

2023

Journal Article

Compressed-SDR to HDR video reconstruction

Wang, Hu, Ye, Mao, Zhu, Xiatian, Li, Shuai, Li, Xue and Zhu, Ce (2023). Compressed-SDR to HDR video reconstruction. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46 (5) 10373884, 3679-3691. doi: 10.1109/tpami.2023.3346921

Compressed-SDR to HDR video reconstruction

2023

Conference Publication

Joint learning-based multiple documents heterogeneous graph inference for biomedical entity linking

Dai, Qizhu, Lei, Qin, Zhong, Jiang, Li, Xue, Wang, Chen, Yin, Hong and Li, Rongzhen (2023). Joint learning-based multiple documents heterogeneous graph inference for biomedical entity linking. 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Istanbul, Turkiye, 5-8 December 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/bibm58861.2023.10385533

Joint learning-based multiple documents heterogeneous graph inference for biomedical entity linking

2023

Conference Publication

Context-based masking for spontaneous venous pulsations detection

Sheng, Hongwei, Yu, Xin, Li, Xue and Golzan, Mojtaba (2023). Context-based masking for spontaneous venous pulsations detection. 36th Australasian Joint Conference on Artificial Intelligence, AJCAI 2023, Brisbane, QLD Australia, 28 November –1 December 2023. Singapore: Springer. doi: 10.1007/978-981-99-8388-9_42

Context-based masking for spontaneous venous pulsations detection

2023

Conference Publication

Prompt-based effective input reformulation for legal case retrieval

Tang, Yanran, Qiu, Ruihong and Li, Xue (2023). Prompt-based effective input reformulation for legal case retrieval. 34th Australasian Database Conference, Melbourne, VIC Australia, 1-3 November 2023. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-031-47843-7_7

Prompt-based effective input reformulation for legal case retrieval

2023

Conference Publication

Object detection difficulty: suppressing over-aggregation for faster and better video object detection

Zhang, Bingqing, Wang, Sen, Liu, Yifan, Kusy, Brano, Li, Xue and Liu, Jiajun (2023). Object detection difficulty: suppressing over-aggregation for faster and better video object detection. 31st ACM International Conference on Multimedia, MM 2023, Ottawa, ON Canada, 29 October - 3 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3581783.3612090

Object detection difficulty: suppressing over-aggregation for faster and better video object detection

2023

Journal Article

GS-InGAT: An interaction graph attention network with global semantic for knowledge graph completion

Yin, Hong, Zhong, Jiang, Wang, Chen, Li, Rongzhen and Li, Xue (2023). GS-InGAT: An interaction graph attention network with global semantic for knowledge graph completion. Expert Systems with Applications, 228 120380, 1-15. doi: 10.1016/j.eswa.2023.120380

GS-InGAT: An interaction graph attention network with global semantic for knowledge graph completion

2023

Journal Article

Recent applications of machine learning in alloy design: a review

Hu, Mingwei, Tan, Qiyang, Knibbe, Ruth, Xu, Miao, Jiang, Bin, Wang, Sen, Li, Xue and Zhang, Ming-Xing (2023). Recent applications of machine learning in alloy design: a review. Materials Science and Engineering: R: Reports, 155 100746, 100746. doi: 10.1016/j.mser.2023.100746

Recent applications of machine learning in alloy design: a review

2023

Conference Publication

Enhancing document-level relation extraction with relation- pecific entity representation and evidence sentence augmentation

Dai, Qizhu, Zhong, Jiang, Zhu, Wei, Wang, Chen, Yin, Hong, Lei, Qin, Li, Xue and Li, Rongzhen (2023). Enhancing document-level relation extraction with relation- pecific entity representation and evidence sentence augmentation. 26th European Conference on Artificial Intelligence, Kraków, Poland, 30 September-4 October 2023. Bristol, United Kingdom: IOS Press. doi: 10.3233/FAIA230312

Enhancing document-level relation extraction with relation- pecific entity representation and evidence sentence augmentation

2023

Journal Article

Dual-core mutual learning between scoring systems and clinical features for ICU mortality prediction

Shi, Zhenkun, Wang, Sen, Yue, Lin, Zhang, Yijia, Adhikari, Binod Kumar, Xue, Shuai, Zuo, Wanli and Li, Xue (2023). Dual-core mutual learning between scoring systems and clinical features for ICU mortality prediction. Information Sciences, 637 118984, 1-13. doi: 10.1016/j.ins.2023.118984

Dual-core mutual learning between scoring systems and clinical features for ICU mortality prediction

2023

Journal Article

Artificial Intelligence in Evidence-based Medicine:Challenges and Opportunities

Li, Xue, Zou, Catherine, Boots, Robert, Wang, Sen, Chen, Weitong and Zuccon, Guido (2023). Artificial Intelligence in Evidence-based Medicine:Challenges and Opportunities. World Scientific Annual Review of Artificial Intelligence, 01. doi: 10.1142/s2811032323300025

Artificial Intelligence in Evidence-based Medicine:Challenges and Opportunities

2023

Conference Publication

Commdre: Document-level Relation Extraction with self-supervised commonsense learning

Li, Rongzhen, Zhong, Jiang, Xue, Zhongxuan, Dai, Qizhu, Wang, Chen and Li, Xue (2023). Commdre: Document-level Relation Extraction with self-supervised commonsense learning. 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 4-10 June 2023. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICASSP49357.2023.10096263

Commdre: Document-level Relation Extraction with self-supervised commonsense learning

2023

Conference Publication

PRRD: pixel-region relation distillation for efficient semantic segmentation

Wang, Chen, Zhong, Jiang, Dai, Qizhu, Qi, Yafei, Li, Rongzhen, Lei, Qin, Fang, Bin and Li, Xue (2023). PRRD: pixel-region relation distillation for efficient semantic segmentation. 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 4-10 June 2023. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICASSP49357.2023.10094967

PRRD: pixel-region relation distillation for efficient semantic segmentation

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

    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

  • 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

    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

  • Doctor Philosophy

    Privacy preservation with Large Language Models

    Associate Advisor

    Other advisors: Dr Priyanka Singh

Completed supervision

Enquiries

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