Professor Helen Huang
Professor

Helen Huang

Email: 
Phone: 
+61 7 336 53239

Background

Dr. Huang is a Professor and ARC Future Fellow in School of ITEE, The University of Queensland. She received her BSc degree from Department of Computer Science, Tsinghua University, China, and her PhD in Computer Science from School of ITEE, The University of Queensland in 2001 and 2007 respectively. Dr. Huang's research interests mainly include multimedia indexing and search, social data analysis and knowledge discovery. She has published 200+ papers in prestigious venues, and is currently an Associate Editor of The VLDB Journal, ACM Transactions on Information Systems (TOIS), Pattern Recognition Journal, etc and also a member of the VLDB Endowment Board of Trustees.

Dr. Huang has received 2016 Chris Wallace Award from Computing Research and Education (CORE) Australasia for a notable breakthrough or a contribution of particular significance in Computer Science, and Women in Technology (WiT) Infotech Research Award 2014, Queensland. She was also a recipient of the Excellence in Higher Degree by Research Supervision Award, University of Queensland, 2018. Dr. Huang is the Data Science Discipline Leader, UQ.

Availability

Professor Helen Huang is:
Available for supervision

Fields of research

Information and Computing Sciences

Qualifications

  • Doctor of Philosophy, The University of Queensland

Research interests

  • Multimedia Search

    Visual content (image and videos) understanding and analysis; Multimedia indexing and retrieval; Ranking and recommendation; Visual question answering;

  • Social Media Analytics

    Event detection and monitoring; User behaviour modelling and prediction; Social interactions analysis; Web data mining

  • Machine Learning

    Few-shot Learning; Zero-shot Learning; Domain adaptation; Adversarial learning; Graph learning

  • Information systems

    Privacy-aware information retrieval; cross-modal retrieval; Heterogeneous data fusion; Knowledge distillation

  • Big Database Management

    Data quality; Data linkage and fusion; Indexing structures; Query processing; Dimensionality reduction; spatio-temporal data management

Search Professor Helen Huang’s works on UQ eSpace

287 works between 2003 and 2024
All (287) Journal Article (102) Book Chapter (2) Conference Publication (180) Other Outputs (2) Edited Outputs (1)

121 - 140 of 287 works

2019

Conference Publication

Rethinking the item order in session-based recommendation with graph neural networks

Qiu, Ruihong, Li, Jingjing, Huang, Zi and Yin, Hongzhi (2019). Rethinking the item order in session-based recommendation with graph neural networks. CIKM '19 28th ACM International Conference on Information and Knowledge Management, Beijing, China, 3 - 7 November, 2019. New York, New York, USA: ACM Press. doi: 10.1145/3357384.3358010

Rethinking the item order in session-based recommendation with graph neural networks

2019

Conference Publication

SADIH: Semantic-Aware DIscrete Hashing

Zhang, Zheng, Xie, Guo-sen, Li, Yang, Li, Sheng and Huang, Zi (2019). SADIH: Semantic-Aware DIscrete Hashing. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, HI United States, 27 January - 1 February 2019. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence.

SADIH: Semantic-Aware DIscrete Hashing

2019

Conference Publication

Multi-hop path queries over knowledge graphs with neural memory networks

Wang, Qinyong, Yin, Hongzhi, Wang, Weiqing, Huang, Zi, Guo, Guibing and Nguyen, Quoc Viet Hung (2019). Multi-hop path queries over knowledge graphs with neural memory networks. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22 - 25 April 2019. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-18576-3_46

Multi-hop path queries over knowledge graphs with neural memory networks

2019

Conference Publication

Curiosity-driven reinforcement learning for diverse visual paragraph generation

Luo, Yadan, Huang, Zi, Zhang, Zheng, Wang, Ziwei, Li, Jingjing and Yang, Yang (2019). Curiosity-driven reinforcement learning for diverse visual paragraph generation. 27th ACM International Conference on Multimedia (MM), Nice, France, 21-25 October 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3343031.3350961

Curiosity-driven reinforcement learning for diverse visual paragraph generation

2019

Conference Publication

Agile domain adaptation

Li, Jingjing, Jing, Mengmeng, Xie, Yue, Lu, Ke and Huang, Zi (2019). Agile domain adaptation. International Joint Conference on Neural Networks, Budapest, Hungary, 14-19 July 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IJCNN.2019.8852479

Agile domain adaptation

2019

Conference Publication

Adaptive component embedding for unsupervised domain adaptation

Jing, Mengmeng, Li, Jingjing, Lu, Ke, Liu, Jieyan and Huang, Zi (2019). Adaptive component embedding for unsupervised domain adaptation. IEEE International Conference on Multimedia and Expo (ICME), Shanghai, China, 8-12 July 2019. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/ICME.2019.00286

Adaptive component embedding for unsupervised domain adaptation

2019

Conference Publication

From zero-shot learning to cold-start recommendation

Li, Jingjing, Jing, Mengmeng, Lu, Ke, Zhu, Lei, Yang, Yang and Huang, Zi (2019). From zero-shot learning to cold-start recommendation. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, HI, United States, 27 January - 1 February 2019. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence.

From zero-shot learning to cold-start recommendation

2019

Conference Publication

Alleviating feature confusion for generative zero-shot learning

Li, Jingjing, Zhu, Lei, Jing, Mengmeng, Yang, Yang Y., Lu, Ke and Huang, Zi (2019). Alleviating feature confusion for generative zero-shot learning. 27th ACM International Conference on Multimedia (MM), Nice, France, 21-25 October 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3343031.3350901

Alleviating feature confusion for generative zero-shot learning

2019

Conference Publication

MR-NET: exploiting mutual relation for visual relationship detection

Bin, Yi, Yang, Yang, Tao, Chaofan, Huang, Zi, Li, Jingjing and Shen, Heng Tao (2019). MR-NET: exploiting mutual relation for visual relationship detection. 33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence, Honolulu, HI, United States, 27 January - 1 February 2019. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence.

MR-NET: exploiting mutual relation for visual relationship detection

2019

Journal Article

Bidirectional discrete matrix factorization hashing for image search

He, Shiyuan, Wang, Bokun, Wang, Zheng, Yang, Yang, Shen, Fumin, Huang, Zi and Shen, Heng Tao (2019). Bidirectional discrete matrix factorization hashing for image search. IEEE Transactions on Cybernetics, 50 (9) 8863122, 1-12. doi: 10.1109/tcyb.2019.2941284

Bidirectional discrete matrix factorization hashing for image search

2019

Conference Publication

CRA-NEt: Composed relation attention network for visual question answering

Peng, Liang, Yang, Y., Wang, Zheng, Wu, Xiao and Huang, Zi (2019). CRA-NEt: Composed relation attention network for visual question answering. 27th ACM International Conference on Multimedia (MM), Nice, France, 21-25 October 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3343031.3350925

CRA-NEt: Composed relation attention network for visual question answering

2019

Conference Publication

A Domain Adaptation Approach for Multistream Classification

Xie, Yue, Li, Jingjing, Jing, Mengmeng, Lu, Ke and Huang, Zi (2019). A Domain Adaptation Approach for Multistream Classification. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22 - 25 April 2019. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-030-18590-9_42

A Domain Adaptation Approach for Multistream Classification

2019

Conference Publication

Deep collaborative discrete hashing with semantic-invariant structure

Wang, Zijian, Luo, Yadan, Zhang, Zheng and Huang, Zi (2019). Deep collaborative discrete hashing with semantic-invariant structure. 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Paris, France, 21-25 July 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3331184.3331275

Deep collaborative discrete hashing with semantic-invariant structure

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

2018

Journal Article

Learning Discrete Hashing Towards Efficient Fashion Recommendation

Liu, Luyao, Du, Xingzhong, Zhu, Lei, Shen, Fumin and Huang, Zi (2018). Learning Discrete Hashing Towards Efficient Fashion Recommendation. Data Science and Engineering, 3 (4), 307-322. doi: 10.1007/s41019-018-0079-z

Learning Discrete Hashing Towards Efficient Fashion Recommendation

2018

Journal Article

Exploring auxiliary context: discrete semantic transfer hashing for scalable image retrieval

Zhu, Lei, Huang, Zi, Li, Zhihui, Xie, Liang and Shen, Heng Tao (2018). Exploring auxiliary context: discrete semantic transfer hashing for scalable image retrieval. IEEE Transactions on Neural Networks and Learning Systems, 29 (11) 8291840, 5264-5276. doi: 10.1109/TNNLS.2018.2797248

Exploring auxiliary context: discrete semantic transfer hashing for scalable image retrieval

2018

Journal Article

Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system

Yin, Hongzhi, Wang, Weiqing, Chen, Liang, Du, Xingzhong, Hung Nguyen, Quoc Viet and Huang, Zi (2018). Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system. Knowledge-Based Systems, 157, 68-80. doi: 10.1016/j.knosys.2018.05.028

Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system

2018

Journal Article

Heterogeneous domain adaptation through progressive alignment

Li, Jingjing, Lu, Ke, Huang, Zi, Zhu, Lei and Shen, Heng Tao (2018). Heterogeneous domain adaptation through progressive alignment. IEEE Transactions on Neural Networks and Learning Systems, 30 (5) 8475006, 1-11. doi: 10.1109/TNNLS.2018.2868854

Heterogeneous domain adaptation through progressive alignment

2018

Journal Article

Hierarchical multi-clue modelling for POI popularity prediction with heterogeneous tourist information

Yang, Yang, Duan, Yaqian, Wang, Xinze, Huang, Zi, Xie, Ning and Shen, Heng Tao (2018). Hierarchical multi-clue modelling for POI popularity prediction with heterogeneous tourist information. IEEE Transactions on Knowledge and Data Engineering, 31 (4) 8370064, 1-1. doi: 10.1109/TKDE.2018.2842190

Hierarchical multi-clue modelling for POI popularity prediction with heterogeneous tourist information

2018

Journal Article

Transfer independently together: a generalized framework for domain adaptation

Li, Jingjing, Lu, Ke, Huang, Zi, Zhu, Lei and Shen, Heng Tao (2018). Transfer independently together: a generalized framework for domain adaptation. IEEE Transactions on Cybernetics, 49 (6) 8337102, 1-12. doi: 10.1109/TCYB.2018.2820174

Transfer independently together: a generalized framework for domain adaptation

Current funding

  • 2024 - 2029
    ARC Research Hub for Future Digital Manufacturing (ARC ITRP led by Swinburne University of Technology)
    Swinburne University of Technology
    Open grant
  • 2024 - 2029
    ARC Training Centre in Predictive Breeding for Agricultural Futures
    ARC Industrial Transformation Training Centres
    Open grant
  • 2024 - 2027
    Embracing Changes for Responsive Video-sharing Services
    ARC Discovery Projects
    Open grant
  • 2023 - 2026
    Responsible modelling respecting privacy, data quality, and green computing
    ARC Discovery Projects
    Open grant
  • 2023 - 2028
    Sewer Monitoring and Management in the Digital Era
    ARC Linkage Projects
    Open grant
  • 2023 - 2026
    Road Atlas: AI-power platform for automated road distress detection and asset management
    Logan City Council
    Open grant
  • 2023 - 2027
    Analytics for the Australian Grains Industry (AAGI)
    Grains Research & Development Corporation
    Open grant
  • 2021 - 2027
    ARC Centre of Excellence for Children and Families over the Life Course
    ARC Centres of Excellence
    Open grant

Past funding

  • 2022 - 2024
    Developing a proof-of-concept self-contact tracing app to support epidemiological investigations and outbreak response (Australia-Korea Joint Call for Joint Research Projects - ATSE Tech Bridge Grant)
    Australian Academy of Technological Sciences and Engineering
    Open grant
  • 2019 - 2022
    Deep Attribute-aware Hashing for Cross Retrieval
    ARC Discovery Projects
    Open grant
  • 2018 - 2021
    Deeply mining user online behaviour with social event influence
    UQ Development Fellowships
    Open grant
  • 2016
    Dr Zi Huang - Maternity Funding (Advance Queensland Women's Academic Fund)
    Queensland Government Advance Queensland Women's Academic Fund
    Open grant
  • 2014 - 2019
    Real-time Event Detection, Prediction, and Visualization for Emergency Response
    ARC Future Fellowships
    Open grant
  • 2014 - 2016
    Declaration, Exploration, Enhancement and Provenance: The DEEP Approach to Data Quality Management Systems
    ARC Discovery Projects
    Open grant
  • 2011 - 2013
    Monitoring Online Topic Evolvements with Near-duplicate Videos
    ARC Discovery Projects
    Open grant
  • 2011 - 2012
    Social Interest Discovery with Redundant Media Content Analysis
    UQ Early Career Researcher
    Open grant
  • 2009 - 2011
    Homeland, Police and Biosecurity
    National ICT Australia Ltd (NICTA)
    Open grant

Availability

Professor Helen Huang is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Supervision history

Current supervision

  • Doctor Philosophy

    efficiency oriented multimedia system

    Principal Advisor

    Other advisors: Dr Ruihong Qiu

  • Doctor Philosophy

    Towards Privacy-Preserving and Fairness-Aware Federated Recommendation Systems

    Principal Advisor

    Other advisors: Dr Ruihong Qiu, Associate Professor Guangdong Bai

  • Doctor Philosophy

    Remote Sensing Analysis in computer vision

    Principal Advisor

    Other advisors: Dr Xin Yu

  • Doctor Philosophy

    Exploring the Trustworthiness of Information Retrieval in the Era of Large Language Models

    Principal Advisor

    Other advisors: Dr Ruihong Qiu, Associate Professor Guangdong Bai

  • Doctor Philosophy

    Data driven approaches for smart farming

    Principal Advisor

    Other advisors: Honorary Professor Zhi-Gang Chen, Dr Xin Yu

  • Doctor Philosophy

    Towards Reliable and Efficient Vegetation Segmentation for multi-modality Australian Wheat Data Analysis

    Principal Advisor

  • Doctor Philosophy

    Graph Mining for Legal Case Retrieval

    Principal Advisor

    Other advisors: Professor Xue Li

  • Doctor Philosophy

    Unsupervised Domain Adaptation on 3D Object Detection and Segmentation

    Associate Advisor

    Other advisors: Dr Mahsa Baktashmotlagh, Dr Yadan Luo

  • Doctor Philosophy

    Towards Open-vocabulary 3D Object Detection

    Associate Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

    Towards Explainable Multi-source Multivariate Time-series Analysis

    Associate Advisor

    Other advisors: Associate Professor Sen Wang, Dr Yadan Luo

  • Doctor Philosophy

    Two way Auslan Translation

    Associate Advisor

    Other advisors: Dr Xin Yu

  • Doctor Philosophy

    Data quality assurance in digitalisation of urban water management

    Associate Advisor

    Other advisors: Honorary Professor Zhiguo Yuan, Dr Jiuling Li, Dr Ruihong Qiu

  • Doctor Philosophy

    Maximizing Object Detection Dataset Efficiency through the Power of Active Learning

    Associate Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

    Open-domain Dialogue Generation

    Associate Advisor

    Other advisors: Professor Xue Li

  • Doctor Philosophy

    Multimodal Sensing System for 3D Vision

    Associate Advisor

    Other advisors: Dr Yadan Luo

Completed supervision

Enquiries

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