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)

81 - 100 of 362 works

2020

Conference Publication

Sequence-aware factorization machines for temporal predictive analytics

Chen, Tong, Yin, Hongzhi, Nguyen, Quoc Viet Hung, Peng, Wen-Chih, Li, Xue and Zhou, Xiaofang (2020). Sequence-aware factorization machines for temporal predictive analytics. 2020 IEEE 36th International Conference on Data Engineering, Dallas, Texas, United States, 20-24 April 2020. LOS ALAMITOS: IEEE Computer Society. doi: 10.1109/ICDE48307.2020.00125

Sequence-aware factorization machines for temporal predictive analytics

2020

Conference Publication

Adaptive two-dimensional embedded image clustering

Li, Zhihui, Yao, Lina, Wang, Sen, Kanhere, Salil, Li, Xue and Zhang, Huaxiang (2020). Adaptive two-dimensional embedded image clustering. The Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, NY, United States, 7-12 February 2020. Palo Alto, CA, United States: AAAI Press.

Adaptive two-dimensional embedded image clustering

2020

Journal Article

IDDSaM: an integrated disease diagnosis and severity assessment model for intensive care units

Shi, Zhenkun, Zuo, Wanli, Liang, Shining, Zuo, Xianglin, Yue, Lin and Li, Xue (2020). IDDSaM: an integrated disease diagnosis and severity assessment model for intensive care units. IEEE Access, 8 8962342, 15423-15435. doi: 10.1109/aCCESS.2020.2967417

IDDSaM: an integrated disease diagnosis and severity assessment model for intensive care units

2020

Conference Publication

PrivColl: practical privacy-preserving collaborative machine learning

Zhang, Yanjun, Bai, Guangdong, Li, Xue, Curtis, Caitlin, Chen, Chen and Ko, Ryan K. L. (2020). PrivColl: practical privacy-preserving collaborative machine learning. European Symposium on Research in Computer Security, Guildford, United Kingdom, 14-18 September 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-58951-6_20

PrivColl: practical privacy-preserving collaborative machine learning

2019

Conference Publication

Identification of functional connectivity features in depression subtypes using a data-driven approach

Li, Xingjuan, Burnham, Samantha, Fripp, Jurgen, Li, Yu, Li, Xue, Fazlollahi, Amir and Bourgeat, Pierrick (2019). Identification of functional connectivity features in depression subtypes using a data-driven approach. International Workshop on Graph Learning in Medical Imaging (GLMI 2019), Shenzhen, China, 17-19 October 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35817-4_12

Identification of functional connectivity features in depression subtypes using a data-driven approach

2019

Conference Publication

DBRec: dual-bridging recommendation via discovering latent groups

Ma, Jingwei, Wen, Jiahui, Zhong, Mingyang, Liu, Liangchen, Li, Chaojie, Chen, Weitong, Yang, Yin, Tu, Hongkui and Li, Xue (2019). DBRec: dual-bridging recommendation via discovering latent groups. CIKM '19, Beijing, China, 3-7 November 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3357384.3357892

DBRec: dual-bridging recommendation via discovering latent groups

2019

Journal Article

Hierarchical representation learning for big complex multimedia data

Wu, Lin, Wang, Yang, Li, Xue and Gao, Junbin (2019). Hierarchical representation learning for big complex multimedia data. Multimedia Tools and Applications, 78 (21), 30535-30535. doi: 10.1007/s11042-019-08137-4

Hierarchical representation learning for big complex multimedia data

2019

Journal Article

Graph partitioning in the implementation and performance optimization of a hybrid memory system 图划分在混合内存系统的实现与性能优化

Li, Qi, Zhong, Jiang and Li, Xue (2019). Graph partitioning in the implementation and performance optimization of a hybrid memory system 图划分在混合内存系统的实现与性能优化. Jisuanji Xuebao/Chinese Journal of Computers, 42 (11), 2481-2498. doi: 10.11897/SP.J.1016.2019.02481

Graph partitioning in the implementation and performance optimization of a hybrid memory system 图划分在混合内存系统的实现与性能优化

2019

Conference Publication

Personalised medicine in critical care using Bayesian reinforcement learning

Utomo, Chandra Prasetyo, Kurniawati, Hanna, Li, Xue and Pokharel, Suresh (2019). Personalised medicine in critical care using Bayesian reinforcement learning. ADMA 2019: Advanced Data Mining and Applications, Dalian, China, 21–23 November, 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35231-8_47

Personalised medicine in critical care using Bayesian reinforcement learning

2019

Journal Article

Online sales prediction via trend alignment-based multitask recurrent neural networks

Chen, Tong, Yin, Hongzhi, Chen, Hongxu, Wang, Hao, Zhou, Xiaofang and Li, Xue (2019). Online sales prediction via trend alignment-based multitask recurrent neural networks. Knowledge and Information Systems, 62 (6), 2139-2167. doi: 10.1007/s10115-019-01404-8

Online sales prediction via trend alignment-based multitask recurrent neural networks

2019

Journal Article

MMM: multi-source multi-net micro-video recommendation with clustered hidden item representation learning

Ma, Jingwei, Wen, Jiahui, Zhong, Mingyang, Chen, Weitong and Li, Xue (2019). MMM: multi-source multi-net micro-video recommendation with clustered hidden item representation learning. Data Science and Engineering, 4 (3), 240-253. doi: 10.1007/s41019-019-00101-4

MMM: multi-source multi-net micro-video recommendation with clustered hidden item representation learning

2019

Journal Article

A Dynamic Top-k Query Based on the Improved Grid Multi-Dimensional Index TTI 一种基于改进网格多维TTI索引的动态Top-k查询算法

Deng, Dan-Ping, Qin, Xiao-Lin, Li, Bo-Han, Zheng, Wei, Liu, Liang and Li, Xue (2019). A Dynamic Top-k Query Based on the Improved Grid Multi-Dimensional Index TTI 一种基于改进网格多维TTI索引的动态Top-k查询算法. Jisuanji Xuebao/Chinese Journal of Computers, 42 (8), 1827-1844. doi: 10.11897/SP.J.1016.2019.01827

A Dynamic Top-k Query Based on the Improved Grid Multi-Dimensional Index TTI 一种基于改进网格多维TTI索引的动态Top-k查询算法

2019

Journal Article

Where-and-when to look: deep siamese attention networks for video-based person re-identification

Wu, Lin, Wang, Yang, Gao, Junbin and Li, Xue (2019). Where-and-when to look: deep siamese attention networks for video-based person re-identification. IEEE Transactions on Multimedia, 21 (6) 8506428, 1412-1424. doi: 10.1109/TMM.2018.2877886

Where-and-when to look: deep siamese attention networks for video-based person re-identification

2019

Journal Article

Memory management mechanism for hybrid memory architecture based on new non-volatile memory

Li, Qi, Zhong, Jiang, Li, Xue and Li, Qing (2019). Memory management mechanism for hybrid memory architecture based on new non-volatile memory. Tien Tzu Hsueh Pao/Acta Electronica Sinica, 47 (3), 664-670. doi: 10.3969/j.issn.0372-2112.2019.03.021

Memory management mechanism for hybrid memory architecture based on new non-volatile memory

2019

Conference Publication

RecKGC: Integrating Recommendation with Knowledge Graph Completion

Ma, Jingwei, Zhong, Mingyang, Wen, Jiahui, Chen, Weitong, Zhou, Xiaofang and Li, Xue (2019). RecKGC: Integrating Recommendation with Knowledge Graph Completion. 15th International Conference, ADMA 2019, Dalian, China, 21–23 November 2019. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-35231-8_18

RecKGC: Integrating Recommendation with Knowledge Graph Completion

2019

Conference Publication

AIR: Attentional intention-aware recommender systems

Chen, Tong, Yin, Hongzhi, Chen, Hongxu, Yan, Rui, Nguyen, Quoc Viet Hung and Li, Xue (2019). AIR: Attentional intention-aware recommender systems. IEEE 35th International Conference on Data Engineering (ICDE), Macau, China, 8-11 April 2019. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/ICDE.2019.00035

AIR: Attentional intention-aware recommender systems

2019

Conference Publication

Causality discovery with domain knowledge for drug-drug interactions discovery

Subpaiboonkit, Sitthichoke, Li, Xue, Zhao, Xin, Scells, Harrisen and Zuccon, Guido (2019). Causality discovery with domain knowledge for drug-drug interactions discovery. 15th International Conference on Advanced Data Mining and Applications, ADMA 2019, Dalian, China, 21–23 November 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35231-8_46

Causality discovery with domain knowledge for drug-drug interactions discovery

2019

Conference Publication

Enabling privacy-preserving sharing of genomic data for GWASs in decentralized networks

Zhang, Yanjun, Zhao, Xin, Li, Xue, Zhong, Mingyang, Curtis, Caitlin and Chen, Chen (2019). Enabling privacy-preserving sharing of genomic data for GWASs in decentralized networks. Twelfth ACM International Conference on Web Search and Data Mining, Melbourne, VIC, Australia, 11-15 February 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3289600.3290983

Enabling privacy-preserving sharing of genomic data for GWASs in decentralized networks

2019

Journal Article

Optimizing streaming graph partitioning via a heuristic greedy method and caching strategy

Li, Qi, Zhong, Jiang, Cao, Zehong and Li, Xue (2019). Optimizing streaming graph partitioning via a heuristic greedy method and caching strategy. Optimization Methods and Software, 35 (6), 1-16. doi: 10.1080/10556788.2018.1553971

Optimizing streaming graph partitioning via a heuristic greedy method and caching strategy

2019

Conference Publication

Learning private neural language modeling with attentive aggregation

Ji, Shaoxiong, Pan, Shirui, Long, Guodong, Li, Xue, Jiang, Jing and Huang, Zi (2019). Learning private neural language modeling with attentive aggregation. 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 14-19 July 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IJCNN.2019.8852464

Learning private neural language modeling with attentive aggregation

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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