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)

1 - 20 of 362 works

2025

Journal Article

High-order neighbors aware representation learning for knowledge graph completion

Yin, Hong, Zhong, Jiang, Li, Rongzhen, Shang, Jiaxing, Wang, Chen and Li, Xue (2025). High-order neighbors aware representation learning for knowledge graph completion. IEEE Transactions on Neural Networks and Learning Systems, 36 (3), 5273-5287. doi: 10.1109/tnnls.2024.3383873

High-order neighbors aware representation learning for knowledge graph completion

2025

Journal Article

Document-level relation extraction via commonsense knowledge enhanced graph representation learning

Dai, Qizhu, Li, Rongzhen, Xue, Zhongxuan, Li, Xue and Zhong, Jiang (2025). Document-level relation extraction via commonsense knowledge enhanced graph representation learning. Applied Intelligence, 55 (2) 165, 1-13. doi: 10.1007/s10489-024-05985-y

Document-level relation extraction via commonsense knowledge enhanced graph representation learning

2025

Conference Publication

Recent advances on multi-modal dialogue systems: a survey

Cheng, Fenghua, Li, Xue, Wu, Haoyang, Sang, Jiangcheng and Zhao, Wenqi (2025). Recent advances on multi-modal dialogue systems: a survey. 20th International Conference, ADMA 2024, Sydney, NSW, Australia, 3 - 5 December 2024. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-96-0847-8_3

Recent advances on multi-modal dialogue systems: a survey

2025

Conference Publication

Automatic summarization of life-critical situations by generative AI

Sun, Yuxuan and Li, Xue (2025). Automatic summarization of life-critical situations by generative AI. 20th International Conference, ADMA 2024, Sydney, NSW, Australia, 3 - 5 December 2024. Heidelberg, Germany: Springer. doi: 10.1007/978-981-96-0840-9_5

Automatic summarization of life-critical situations by generative AI

2025

Conference Publication

TinyMetaFed: efficient federated meta-learning for TinyML

Ren, Haoyu, Li, Xue, Anicic, Darko and Runkler, Thomas A. (2025). TinyMetaFed: efficient federated meta-learning for TinyML. International Workshops of ECML PKDD 2023, Turin, Italy, 18 - 22 September 2023. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-74640-6_10

TinyMetaFed: efficient federated meta-learning for TinyML

2024

Journal Article

Clinical and radiographic parameters for early periodontitis diagnosis: a comparative study

Fidyawati, Desy, Masulili, Sri Lelyati C., Iskandar, Hanna Bachtiar, Suhartanto, Heru, Kiswanjaya, Bramma and Li, Xue (2024). Clinical and radiographic parameters for early periodontitis diagnosis: a comparative study. Dentistry Journal, 12 (12) 407, 1-12. doi: 10.3390/dj12120407

Clinical and radiographic parameters for early periodontitis diagnosis: a comparative study

2024

Conference Publication

Evidence sentence augmented sequence-to-sequence method for document-level relation extraction

Dai, Qizhu, Zhong, Jiang, Li, Kuan, Li, Rongzhen, Wang, Chen, Yang, Xuejiao, Yang, Sen and Li, Xue (2024). Evidence sentence augmented sequence-to-sequence method for document-level relation extraction. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 3-6 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/bibm62325.2024.10822111

Evidence sentence augmented sequence-to-sequence method for document-level relation extraction

2024

Conference Publication

Contrastive learning enhanced graph relation representation for document-level relation extraction

Dai, Qizhu, Zhong, Jiang, Li, Kuan, Li, Rongzhen, Wang, Chen, Lv, Lebin, Chen, Wenjun and Li, Xue (2024). Contrastive learning enhanced graph relation representation for document-level relation extraction. 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Lisbon, Portugal, 3-6 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/bibm62325.2024.10822629

Contrastive learning enhanced graph relation representation for document-level relation extraction

2024

Journal Article

Investigation of age-hardening behaviour of Al alloys via feature screening-assisted machine learning

Hu, Mingwei, Tan, Qiyang, Knibbe, Ruth, Jiang, Bin, Li, Xue and Zhang, Ming-Xing (2024). Investigation of age-hardening behaviour of Al alloys via feature screening-assisted machine learning. Materials Science and Engineering: A, 916 147381, 1-12. doi: 10.1016/j.msea.2024.147381

Investigation of age-hardening behaviour of Al alloys via feature screening-assisted machine learning

2024

Journal Article

Self-supervised commonsense knowledge learning for document-level relation extraction

Li, Rongzhen, Zhong, Jiang, Xue, Zhongxuan, Dai, Qizhu and Li, Xue (2024). Self-supervised commonsense knowledge learning for document-level relation extraction. Expert Systems with Applications, 250 123921. doi: 10.1016/j.eswa.2024.123921

Self-supervised commonsense knowledge learning for document-level relation extraction

2024

Journal Article

Designing unique and high-performance Al alloys via machine learning: mitigating data bias through active learning

Hu, Mingwei, Tan, Qiyang, Knibbe, Ruth, Xu, Miao, Liang, Guofang, Zhou, Jianxin, Xu, Jun, Jiang, Bin, Li, Xue, Ramajayam, Mahendra, Dorin, Thomas and Zhang, Ming-Xing (2024). Designing unique and high-performance Al alloys via machine learning: mitigating data bias through active learning. Computational Materials Science, 244 113204, 113204. doi: 10.1016/j.commatsci.2024.113204

Designing unique and high-performance Al alloys via machine learning: mitigating data bias through active learning

2024

Conference Publication

Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary Task

Wang, Chen, Hu, Cong, Zhong, Jiang, Liu, Huawen, Li, Qi, Yu, Donghua and Li, Xue (2024). Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary Task. 8th International Joint Conference, APWeb-WAIM 2024, Jinhua, China, 30 August-1September 2024. Heidelberg, Germany: Springer. doi: 10.1007/978-981-97-7232-2_2

Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary Task

2024

Journal Article

Multi-level alignments for compressed video super-resolution

Wei, Liu, Ye, Mao, Ji, Luping, Gan, Yan, Li, Shuai and Li, Xue (2024). Multi-level alignments for compressed video super-resolution. IEEE Transactions on Consumer Electronics, 70 (3), 5101-5114. doi: 10.1109/tce.2024.3411144

Multi-level alignments for compressed video super-resolution

2024

Conference Publication

CaseLink: inductive graph learning for legal case retrieval

Tang, Yanran, Qiu, Ruihong, Yin, Hongzhi, Li, Xue and Huang, Zi (2024). CaseLink: inductive graph learning for legal case retrieval. 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657693

CaseLink: inductive graph learning for legal case retrieval

2024

Journal Article

Disentangled relational graph neural network with contrastive learning for knowledge graph completion

Yin, Hong, Zhong, Jiang, Li, Rongzhen and Li, Xue (2024). Disentangled relational graph neural network with contrastive learning for knowledge graph completion. Knowledge-Based Systems, 295 111828. doi: 10.1016/j.knosys.2024.111828

Disentangled relational graph neural network with contrastive learning for knowledge graph completion

2024

Journal Article

On-device online learning and semantic management of TinyML systems

Ren, Haoyu, Anicic, Darko, Li, Xue and Runkler, Thomas (2024). On-device online learning and semantic management of TinyML systems. ACM Transactions on Embedded Computing Systems, 23 (4) 55, 1-32. doi: 10.1145/3665278

On-device online learning and semantic management of TinyML systems

2024

Journal Article

Stable viewport-based unsupervised compressed 360° video quality enhancement

Zou, Zizhuang, Ye, Mao, Li, Xue, Ji, Luping and Zhu, Ce (2024). Stable viewport-based unsupervised compressed 360° video quality enhancement. IEEE Transactions on Broadcasting, 70 (2), 607-619. doi: 10.1109/tbc.2024.3380435

Stable viewport-based unsupervised compressed 360° video quality enhancement

2024

Conference Publication

Privacy-preserving and fairness-aware federated learning for critical infrastructure protection and resilience

Zhang, Yanjun, Sun, Ruoxi, Shen, Liyue, Bai, Guangdong, Xue, Minhui, Meng, Mark Huasong, Li, Xue, Ko, Ryan and Nepal, Surya (2024). Privacy-preserving and fairness-aware federated learning for critical infrastructure protection and resilience. WWW '24: ACM Web Conference 2024, Singapore, Singapore, 13-17 May 2024. New York, NY, United States: ACM. doi: 10.1145/3589334.3645545

Privacy-preserving and fairness-aware federated learning for critical infrastructure protection and resilience

2024

Journal Article

Spatial-temporal adaptive compressed screen content video quality enhancement

Shu, Chen, Ye, Mao, Guo, Hongwei and Li, Xue (2024). Spatial-temporal adaptive compressed screen content video quality enhancement. IEEE Transactions on Circuits and Systems II: Express Briefs, 71 (5), 2884-2888. doi: 10.1109/tcsii.2024.3350772

Spatial-temporal adaptive compressed screen content video quality enhancement

2024

Journal Article

Integrating crack causal augmentation framework and dynamic binary threshold for imbalanced crack instance segmentation

Lei, Qin, Zhong, Jiang, Wang, Chen and Li, Xue (2024). Integrating crack causal augmentation framework and dynamic binary threshold for imbalanced crack instance segmentation. Expert Systems with Applications, 240 122552. doi: 10.1016/j.eswa.2023.122552

Integrating crack causal augmentation framework and dynamic binary threshold for imbalanced crack instance 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

    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

    Information Extraction from Large-scale Low-quality Data

    Principal Advisor

  • Doctor Philosophy

    Federated transfer learning on clinical multimodal data

    Principal Advisor

  • 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

  • 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

Completed supervision

Enquiries

For media enquiries about Professor Xue Li's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au