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

379 works between 2001 and 2026
All (379) Book (1) Journal Article (153) Other Outputs (1) Edited Outputs (5) Conference Publication (208) Book Chapter (11)

61 - 80 of 379 works

2023

Journal Article

Spatio-temporal detail information retrieval for compressed video quality enhancement

Luo, Dengyan, Ye, Mao, Li, Shuai, Zhu, Ce and Li, Xue (2023). Spatio-temporal detail information retrieval for compressed video quality enhancement. IEEE Transactions on Multimedia, 25 (99), 6808-6820. doi: 10.1109/tmm.2022.3214775

Spatio-temporal detail information retrieval for compressed video quality enhancement

2023

Journal Article

Multi-frame compressed video quality enhancement by spatio-temporal information balance

Wang, Zeyang, Ye, Mao, Li, Shuai and Li, Xue (2023). Multi-frame compressed video quality enhancement by spatio-temporal information balance. IEEE Signal Processing Letters, 30, 105-109. doi: 10.1109/lsp.2023.3244711

Multi-frame compressed video quality enhancement by spatio-temporal information balance

2022

Journal Article

OVQE: Omniscient Network for Compressed Video Quality Enhancement

Peng, Liuhan, Hamdulla, Askar, Ye, Mao, Li, Shuai, Wang, Zengbin and Li, Xue (2022). OVQE: Omniscient Network for Compressed Video Quality Enhancement. IEEE Transactions on Broadcasting, PP (99), 153-164. doi: 10.1109/tbc.2022.3208426

OVQE: Omniscient Network for Compressed Video Quality Enhancement

2022

Conference Publication

Fast Spectral Clustering of Multi-Relational Data

Ling, Ping, Rong, Xiangsheng and Li, Xue (2022). Fast Spectral Clustering of Multi-Relational Data. 2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE), Dalian, China, 23-25 September 2022. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICISCAE55891.2022.9927559

Fast Spectral Clustering of Multi-Relational Data

2022

Conference Publication

Content Adaptive Compressed Screen Content Video Quality Enhancement

Liu, Yu, Ye, Mao, Gao, Yanbo, Li, Shuai, Zhao, Yu and Li, Xue (2022). Content Adaptive Compressed Screen Content Video Quality Enhancement. 2022 IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, 18-22 July 2022. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICME52920.2022.9859602

Content Adaptive Compressed Screen Content Video Quality Enhancement

2022

Journal Article

Heterogenous affinity graph inference network for document-level relation extraction

Li, Rongzhen, Zhong, Jiang, Xue, Zhongxuan, Dai, Qizhu and Li, Xue (2022). Heterogenous affinity graph inference network for document-level relation extraction. Knowledge-Based Systems, 250 109146, 1-9. doi: 10.1016/j.knosys.2022.109146

Heterogenous affinity graph inference network for document-level relation extraction

2022

Journal Article

Self-alignment for black-box unsupervised domain adaptation

Liu, Chang, Zhou, Lihua, Ye, Mao and Li, Xue (2022). Self-alignment for black-box unsupervised domain adaptation. IEEE Signal Processing Letters, 29, 1709-1713. doi: 10.1109/lsp.2022.3194414

Self-alignment for black-box unsupervised domain adaptation

2022

Journal Article

Preserving privacy for distributed genome-wide analysis against identity tracing attacks

Zhang, Yanjun, Bai, Guangdong, Li, Xue, Nepal, Surya, Grobler, Marthie, Chen, Chen and Ko, Ryan K. L. (2022). Preserving privacy for distributed genome-wide analysis against identity tracing attacks. IEEE Transactions on Dependable and Secure Computing, 20 (4), 1-17. doi: 10.1109/tdsc.2022.3186672

Preserving privacy for distributed genome-wide analysis against identity tracing attacks

2022

Conference Publication

Integrating Dependency Tree into Self-Attention for Sentence Representation

Ma, Junhua, Li, Jiajun, Liu, Yuxuan, Zhou, Shangbo and Li, Xue (2022). Integrating Dependency Tree into Self-Attention for Sentence Representation. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, 23-27 May 2022. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICASSP43922.2022.9747221

Integrating Dependency Tree into Self-Attention for Sentence Representation

2022

Journal Article

Dynamic sampling and selective masking for communication-efficient federated learning

Ji, Shaoxiong, Jiang, Wenqi, Walid, Anwar and Li, Xue (2022). Dynamic sampling and selective masking for communication-efficient federated learning. IEEE Intelligent Systems, 37 (2), 27-34. doi: 10.1109/MIS.2021.3114610

Dynamic sampling and selective masking for communication-efficient federated learning

2022

Journal Article

Coarse-to-Fine Spatio-Temporal Information Fusion for Compressed Video Quality Enhancement

Luo, Dengyan, Ye, Mao, Li, Shuai and Li, Xue (2022). Coarse-to-Fine Spatio-Temporal Information Fusion for Compressed Video Quality Enhancement. IEEE Signal Processing Letters, 29, 543-547. doi: 10.1109/LSP.2022.3147441

Coarse-to-Fine Spatio-Temporal Information Fusion for Compressed Video Quality Enhancement

2022

Conference Publication

KUNet: imaging knowledge-inspired single HDR image reconstruction

Wang, Hu, Ye, Mao, Zhu, Xiatian, Li, Shuai, Zhu, Ce and Li, Xue (2022). KUNet: imaging knowledge-inspired single HDR image reconstruction. Thirty-First International Joint Conference on Artificial Intelligence, Vienna, Austria, 23-29 July 2022. Palo Alto, CA, United States: International Joint Conferences on Artificial Intelligence. doi: 10.24963/ijcai.2022/196

KUNet: imaging knowledge-inspired single HDR image reconstruction

2022

Journal Article

Preface

Li, Xue, Yao, Lina and Chen, Weitong (2022). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13725 LNAI, v-vi.

Preface

2022

Conference Publication

Causality discovery based on combined causes and multiple causes in drug-drug interaction

Subpaiboonkit, Sitthichoke, Li, Xue, Zhao, Xin and Zuccon, Guido (2022). Causality discovery based on combined causes and multiple causes in drug-drug interaction. 18th International Conference, ADMA 2022, Brisbane, QLD, Australia, 28-30 November 2022. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-22064-7_5

Causality discovery based on combined causes and multiple causes in drug-drug interaction

2022

Journal Article

Preface

Li, Xue, Yao, Lina and Chen, Weitong (2022). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13726 LNAI, v-vi.

Preface

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

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

    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

    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

    Open-domain Dialogue Generation

    Principal Advisor

    Other advisors: Professor Helen Huang, 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

    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

  • Doctor Philosophy

    Effective and Versatile Multimodal Fusion

    Associate Advisor

    Other advisors: Dr Priyanka Singh

  • Doctor Philosophy

    Structure-Aware 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

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