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Professor Xue Li
Professor

Xue Li

Email: 
Phone: 
+61 7 336 54044

Overview

Availability

Professor Xue Li is:
Not available for supervision

Qualifications

  • Bachelor of Science, Chongqing University
  • Masters (Research) of Science, The University of Queensland
  • Doctor of Philosophy, Queensland University of Technology

Works

Search Professor Xue Li’s works on UQ eSpace

379 works between 2001 and 2026

121 - 140 of 379 works

2018

Journal Article

GRIP: a Group Recommender Based on Interactive Preference model

Li, Bo-Han, Zhang, An-Man, Zheng, Wei, Wan, Shuo, Qin, Xiao-Lin, Li, Xue and Yin, Hai-Lian (2018). GRIP: a Group Recommender Based on Interactive Preference model. Journal of Computer Science and Technology, 33 (5), 1039-1055. doi: 10.1007/s11390-018-1846-z

GRIP: a Group Recommender Based on Interactive Preference model

2018

Journal Article

Metformin versus insulin for gestational diabetes: the reporting of ethnicity and a meta-analysis combining English and Chinese literatures

Zhen, Xi May, Li, Xue and Chen, Chen (2018). Metformin versus insulin for gestational diabetes: the reporting of ethnicity and a meta-analysis combining English and Chinese literatures. Obesity Medicine, 11, 48-58. doi: 10.1016/j.obmed.2018.08.001

Metformin versus insulin for gestational diabetes: the reporting of ethnicity and a meta-analysis combining English and Chinese literatures

2018

Journal Article

Longer-term outcomes in offspring of GDM mothers treated with metformin versus insulin

May Zhen, Xi, Li, Xue and Chen, Chen (2018). Longer-term outcomes in offspring of GDM mothers treated with metformin versus insulin. Diabetes Research and Clinical Practice, 144, 82-92. doi: 10.1016/j.diabres.2018.07.002

Longer-term outcomes in offspring of GDM mothers treated with metformin versus insulin

2018

Journal Article

A survey of sentiment analysis in social media

Yue, Lin, Chen, Weitong, Li, Xue, Zuo, Wanli and Yin, Minghao (2018). A survey of sentiment analysis in social media. Knowledge and Information Systems, 60 (2), 1-47. doi: 10.1007/s10115-018-1236-4

A survey of sentiment analysis in social media

2018

Journal Article

Bio-inspired learning approach for electronic nose

Al-Maskari, Sanad, Xu, Zhuoming, Guo, Wenping, Zhao, Xiaoming and Li, Xue (2018). Bio-inspired learning approach for electronic nose. Computing, 100 (4), 387-402. doi: 10.1007/s00607-018-0604-y

Bio-inspired learning approach for electronic nose

2018

Journal Article

What-and-where to match: Deep spatially multiplicative integration networks for person re-identification

Wu, Lin, Wang, Yang, Li, Xue and Gao, Junbin (2018). What-and-where to match: Deep spatially multiplicative integration networks for person re-identification. Pattern Recognition, 76, 727-738. doi: 10.1016/j.patcog.2017.10.004

What-and-where to match: Deep spatially multiplicative integration networks for person re-identification

2018

Journal Article

Deep attention-based spatially recursive networks for fine-grained visual recognition

Wu, Lin, Wang, Yang, Li, Xue and Gao, Junbin (2018). Deep attention-based spatially recursive networks for fine-grained visual recognition. IEEE Transactions on Cybernetics, 49 (5) 8322428, 1-12. doi: 10.1109/TCYB.2018.2813971

Deep attention-based spatially recursive networks for fine-grained visual recognition

2018

Journal Article

Device-free human localization and tracking with UHF passive RFID tags: a data-driven approach

Ruan, Wenjie, Sheng, Quan Z., Yao, Lina, Li, Xue, Falkner, Nickolas J.G. and Yang, Lei (2018). Device-free human localization and tracking with UHF passive RFID tags: a data-driven approach. Journal of Network and Computer Applications, 104, 78-96. doi: 10.1016/j.jnca.2017.12.010

Device-free human localization and tracking with UHF passive RFID tags: a data-driven approach

2018

Journal Article

LGA: latent genre aware micro-video recommendation on social media

Ma, Jingwei, Li, Guang, Zhong, Mingyang, Zhao, Xin, Zhu, Lei and Li, Xue (2018). LGA: latent genre aware micro-video recommendation on social media. Multimedia Tools and Applications, 77 (3), 2991-3008. doi: 10.1007/s11042-017-4827-2

LGA: latent genre aware micro-video recommendation on social media

2018

Journal Article

Compressive representation for device-free activity recognition with passive RFID signal strength

Yao, Lina, Sheng, Quan Z., Li, Xue, Gu, Tao, Tan, Mingkui, Wang, Xianzhi, Wang, Sen and Ruan, Wenjie (2018). Compressive representation for device-free activity recognition with passive RFID signal strength. IEEE Transactions On Mobile Computing, 17 (2) 7938705, 293-306. doi: 10.1109/TMC.2017.2706282

Compressive representation for device-free activity recognition with passive RFID signal strength

2018

Journal Article

Applying a "Big Data" Literature System to Recommend Antihypertensive Drugs for Hypertension Patients with Diabetes Mellitus

Shu, Jing-xian, Li, Ying, He, Ting, Chen, Ling, Li, Xue, Zou, Lin-lin, Yin, Lu, Li, Xiao-hui, Wang, An-li, Liu, Xing and Yuan, Hong (2018). Applying a "Big Data" Literature System to Recommend Antihypertensive Drugs for Hypertension Patients with Diabetes Mellitus. Medical Science Monitor, 24, 114-148. doi: 10.12659/MSM.907015

Applying a "Big Data" Literature System to Recommend Antihypertensive Drugs for Hypertension Patients with Diabetes Mellitus

2018

Conference Publication

A combined feature approach for speaker segmentation using convolution neural network

Zhong, Jiang, Zhang, Pan and Li, Xue (2018). A combined feature approach for speaker segmentation using convolution neural network. 18th Pacific-Rim Conference on Multimedia, PCM 2017, Harbin, China, 28-29 September 2017. Cham, Switzerland: Springer Verlag. doi: 10.1007/978-3-319-77383-4_54

A combined feature approach for speaker segmentation using convolution neural network

2018

Conference Publication

TADA: trend alignment with dual-attention multi-task recurrent neural networks for sales prediction

Chen, Tong, Yin, Hongzhi, Chen, Hongxu, Wu, Lin, Wang, Hao, Zhou, Xiaofang and Li, Xue (2018). TADA: trend alignment with dual-attention multi-task recurrent neural networks for sales prediction. 18th IEEE International Conference on Data Mining, ICDM 2018, Singapore, 17-20 November 2018. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ICDM.2018.00020

TADA: trend alignment with dual-attention multi-task recurrent neural networks for sales prediction

2018

Journal Article

Deep adaptive feature embedding with local sample distributions for person re-identification

Wu, Lin, Wang, Yang, Gao, Junbin and Li, Xue (2018). Deep adaptive feature embedding with local sample distributions for person re-identification. Pattern Recognition, 73, 275-288. doi: 10.1016/j.patcog.2017.08.029

Deep adaptive feature embedding with local sample distributions for person re-identification

2018

Conference Publication

EEG-based motion intention recognition via multi-task RNNs

Chen, Weitong, Wang, Sen, Zhang, Xiang, Yao, Lina, Yue, Lin, Qian, Buyue and Li, Xue (2018). EEG-based motion intention recognition via multi-task RNNs. 2018 SIAM International Conference on Data Mining, SDM 2018, San Diego, CA, United States, 3-5 May 2018. Society for Industrial and Applied Mathematics Publications. doi: 10.1137/1.9781611975321.32

EEG-based motion intention recognition via multi-task RNNs

2018

Conference Publication

Interesting recommendations based on hierarchical visualizations of medical data

Ibrahim, Ibrahim A., Almars, Abdulqader M., Pokharel, Suresh, Zhao, Xin and Li, Xue (2018). Interesting recommendations based on hierarchical visualizations of medical data. 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2018, Melbourne, VIC Australia, June 3 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-04503-6_6

Interesting recommendations based on hierarchical visualizations of medical data

2018

Conference Publication

Rumor detection via recurrent neural networks: a case study on adaptivity with varied data compositions

Chen, Tong, Chen, Hongxu and Li, Xue (2018). Rumor detection via recurrent neural networks: a case study on adaptivity with varied data compositions. 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_10

Rumor detection via recurrent neural networks: a case study on adaptivity with varied data compositions

2018

Journal Article

Preface

Li, Xue, Gama, Joao, Chen, Bing, Chen, Songcan, Wang, Shuliang and Zhu, Xingquan Hill (2018). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11323 LNAI, v-vi.

Preface

2018

Conference Publication

Automated explanations of user-expected trends for aggregate queries

Ibrahim, Ibrahim A., Li, Xue, Zhao, Xin, Maskari, Sanad Al, Albarrak, Abdullah M. and Zhang, Yanjun (2018). Automated explanations of user-expected trends for aggregate queries. Pacific-Asia Conference, PAKDD, Melbourne, VIC, Australia, 3-6 June 2018. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-93034-3_48

Automated explanations of user-expected trends for aggregate queries

2018

Conference Publication

Streaming graph partitioning for large graphs with limited memory

Li, Qi, Zhong, Jiang, Zheng, Linjiang and Li, Xue (2018). Streaming graph partitioning for large graphs with limited memory. 15th IEEE International Symposium on Parallel and Distributed Processing with Applications and 16th IEEE International Conference on Ubiquitous Computing and Communications, ISPA/IUCC 2017, Guangzhou, China, 12-15 December 2017. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/ISPA/IUCC.2017.00193

Streaming graph partitioning for large graphs with limited memory

Funding

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

Supervision

Availability

Professor Xue Li is:
Not available for supervision

Supervision history

Current supervision

  • 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

    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

    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

  • Doctor Philosophy

    Short Sequence Representation Learning with Limited Supervision

    Associate Advisor

    Other advisors: Associate Professor Jiajun Liu, Associate Professor Sen Wang

Completed supervision

Media

Enquiries

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