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

304 works between 2003 and 2025
All (304) Journal Article (109) Book Chapter (2) Conference Publication (190) Other Outputs (2) Edited Outputs (1)

101 - 120 of 304 works

2021

Conference Publication

Entropy-based uncertainty calibration for generalized zero-shot learning

Chen, Zhi, Huang, Zi, Li, Jingjing and Zhang, Zheng (2021). Entropy-based uncertainty calibration for generalized zero-shot learning. 32nd Australasian Database Conference, ADC 2021, Dunedin, New Zealand, 29 January-5 February 2021. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-030-69377-0_12

Entropy-based uncertainty calibration for generalized zero-shot learning

2021

Journal Article

On both cold-start and long-tail recommendation with social data

Li, Jingjing, Lu, Ke, Huang, Zi and Shen, Heng Tao (2021). On both cold-start and long-tail recommendation with social data. IEEE Transactions on Knowledge and Data Engineering, 33 (1) 8745499, 194-208. doi: 10.1109/TKDE.2019.2924656

On both cold-start and long-tail recommendation with social data

2021

Conference Publication

Proactive Privacy-preserving Learning for Retrieval

Zhang, Peng-Fei, Huang, Zi and Xu, Xin-Shun (2021). Proactive Privacy-preserving Learning for Retrieval. 35th AAAI Conference on Artificial Intelligence, AAAI 2021, Online, 2–9 February 2021. Palo Alto, CA United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v35i4.16449

Proactive Privacy-preserving Learning for Retrieval

2020

Journal Article

Enhance social recommendation with adversarial graph convolutional networks

Yu, Junliang, Yin, Hongzhi, Li, Jundong, Gao, Min, Huang, Zi and Cui, Lizhen (2020). Enhance social recommendation with adversarial graph convolutional networks. IEEE Transactions on Knowledge and Data Engineering, 34 (8), 1-1. doi: 10.1109/tkde.2020.3033673

Enhance social recommendation with adversarial graph convolutional networks

2020

Conference Publication

Adversarial bipartite graph learning for video domain adaptation

Luo, Yadan, Huang, Zi, Wang, Zijian, Zhang, Zheng and Baktashmotlagh, Mahsa (2020). Adversarial bipartite graph learning for video domain adaptation. ACM International Conference on Multimedia, Seattle, WA, United States, 12-16 October 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3394171.3413897

Adversarial bipartite graph learning for video domain adaptation

2020

Conference Publication

Incomplete cross-modal retrieval with dual-aligned variational autoencoders

Jing, Mengmeng, Li, Jingjing, Zhu, Lei, Lu, Ke, Yang, Yang and Huang, Zi (2020). Incomplete cross-modal retrieval with dual-aligned variational autoencoders. MM '20: The 28th ACM International Conference on Multimedia, Online, 12-16 October 2020. New York, NY, United States: Association for Computing Machinery, Inc. doi: 10.1145/3394171.3413676

Incomplete cross-modal retrieval with dual-aligned variational autoencoders

2020

Conference Publication

Prototype-matching graph network for heterogeneous domain adaptation

Wang, Zijian, Luo, Yadan, Huang, Zi and Baktashmotlagh, Mahsa (2020). Prototype-matching graph network for heterogeneous domain adaptation. MM '20: 28th ACM International Conference on Multimedia, Online, October 2020. New York, NY, United States: ACM. doi: 10.1145/3394171.3413662

Prototype-matching graph network for heterogeneous domain adaptation

2020

Conference Publication

Rethinking generative zero-shot learning: an ensemble learning perspective for recognising visual patches

Chen, Zhi, Wang, Sen, Li, Jingjing and Huang, Zi (2020). Rethinking generative zero-shot learning: an ensemble learning perspective for recognising visual patches. MM '20: Proceedings of the 28th ACM International Conference on Multimedia, New York, NY USA, 12-16 October 2020. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3394171.3413813

Rethinking generative zero-shot learning: an ensemble learning perspective for recognising visual patches

2020

Journal Article

CRSAL: conversational recommender systems with adversarial learning

Ren, Xuhui, Yin, Hongzhi, Chen, Tong, Wang, Hao, Hung, Nguyen Quoc Viet, Huang, Zi and Zhang, Xiangliang (2020). CRSAL: conversational recommender systems with adversarial learning. ACM Transactions on Information Systems, 38 (4) 3394592, 1-40. doi: 10.1145/3394592

CRSAL: conversational recommender systems with adversarial learning

2020

Journal Article

Suicidal ideation detection: a review of machine learning methods and applications

Ji, Shaoxiong, Pan, Shirui, Li, Xue, Cambria, Erik, Long, Guodong and Huang, Zi (2020). Suicidal ideation detection: a review of machine learning methods and applications. IEEE Transactions on Computational Social Systems, 8 (1) 9199553, 214-226. doi: 10.1109/tcss.2020.3021467

Suicidal ideation detection: a review of machine learning methods and applications

2020

Conference Publication

Completely unsupervised cross-modal hashing

Duan, Jiasheng, Zhang, Pengfei and Huang, Zi (2020). Completely unsupervised cross-modal hashing. 25th International Conference on Database Systems for Advanced Applications, DASFAA 2020, Jeju, South Korea, 24 - 27 September 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-59410-7_11

Completely unsupervised cross-modal hashing

2020

Conference Publication

GAG: global attributed graph neural network for streaming session-based recommendation

Qiu, Ruihong, Yin, Hongzhi, Huang, Zi and Chen, Tong (2020). GAG: global attributed graph neural network for streaming session-based recommendation. International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event China , 25-30 July 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401109

GAG: global attributed graph neural network for streaming session-based recommendation

2020

Conference Publication

Try this instead: personalized and interpretable substitute recommendation

Chen, Tong, Yin, Hongzhi, Ye, Guanhua, Huang, Zi, Wang, Yang and Wang, Meng (2020). Try this instead: personalized and interpretable substitute recommendation. International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event China, 25-30 July 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401042

Try this instead: personalized and interpretable substitute recommendation

2020

Journal Article

Correction to: Deep-sea organisms tracking using dehazing and deep learning

Lu, Huimin, Uemura, Tomoki, Wang, Dong, Zhu, Jihua, Huang, Zi and Kim, Hyoungseop (2020). Correction to: Deep-sea organisms tracking using dehazing and deep learning. Mobile Networks and Applications, 25 (6), 2536-2536. doi: 10.1007/s11036-020-01600-9

Correction to: Deep-sea organisms tracking using dehazing and deep learning

2020

Journal Article

Urban multimedia computing: Emerging methods in multimedia computing for urban data analysis and applications

Min, Weiqing, Tian, Yonghong, Huang, Zi, Cheng, Wen-Huang and El Saddik, Abdulmotaleb (2020). Urban multimedia computing: Emerging methods in multimedia computing for urban data analysis and applications. IEEE Multimedia, 27 (3) 9186254, 8-11. doi: 10.1109/MMUL.2020.3017877

Urban multimedia computing: Emerging methods in multimedia computing for urban data analysis and applications

2020

Conference Publication

Human consensus-oriented image captioning

Wang, Ziwei, Huang, Zi and Luo, Yadan (2020). Human consensus-oriented image captioning. Twenty-Ninth International Joint Conference on Artificial Intelligence, Yokohama, Japan, 7-15 January 2021. Palo Alto, CA, United States: AAAI Press. doi: 10.24963/ijcai.2020/92

Human consensus-oriented image captioning

2020

Journal Article

Exploiting cross-session information for session-based recommendation with graph neural networks

Qiu, Ruihong, Huang, Zi, Li, Jingjing and Yin, Hongzhi (2020). Exploiting cross-session information for session-based recommendation with graph neural networks. ACM Transactions on Information Systems, 38 (3) 22, 1-23. doi: 10.1145/3382764

Exploiting cross-session information for session-based recommendation with graph neural networks

2020

Journal Article

Deep collaborative discrete hashing with semantic-invariant structure construction

Wang, Zijian, Zhang, Zheng, Luo, Yadan, Huang, Zi and Shen, Heng Tao (2020). Deep collaborative discrete hashing with semantic-invariant structure construction. IEEE Transactions on Multimedia, 23 9096547, 1274-1286. doi: 10.1109/tmm.2020.2995267

Deep collaborative discrete hashing with semantic-invariant structure construction

2020

Conference Publication

Semantics-reconstructing hashing for cross-modal retrieval

Zhang, Peng-Fei, Huang, Zi and Zhang, Zheng (2020). Semantics-reconstructing hashing for cross-modal retrieval. 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, Singapore, 11 - 14 May 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-47436-2_24

Semantics-reconstructing hashing for cross-modal retrieval

2020

Conference Publication

Learning from the past: continual meta-learning with Bayesian Graph Neural Networks

Luo, Yadan, Huang, Zi, Zhang, Zheng, Wang, Ziwei, Baktashmotlagh, Mahsa and Yang, Yang (2020). Learning from the past: continual meta-learning with Bayesian Graph Neural Networks. The Thirty-Fourth AAAI Conference on Artificial Intelligence/ The Thirty-Second Conference on Innovative Applications of Artificial Intelligence/ The Tenth Symposium on Educational Advances in Artificial Intelligence, New York, United States, 7-12 February 2020. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence (AAAI). doi: 10.1609/aaai.v34i04.5942

Learning from the past: continual meta-learning with Bayesian Graph Neural Networks

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

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Supervision history

Current supervision

  • Doctor Philosophy

    Data driven approaches for smart farming

    Principal Advisor

    Other advisors: Dr Xin Yu

  • Doctor Philosophy

    Graph Mining for Legal Case Retrieval

    Principal Advisor

    Other advisors: Professor Xue Li

  • Doctor Philosophy

    Fairness in Graph Representation Learning Models

    Principal Advisor

    Other advisors: Associate Professor Guangdong Bai

  • 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

    Multimodal Representation Learning for Responsive Video-sharing Services

    Principal Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

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

    Principal Advisor

  • Doctor Philosophy

    Active Learning for Multi-modal 3D Perception

    Principal Advisor

    Other advisors: Dr Yadan Luo

  • 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

    Towards Practical Adaptation to Domain Shift in Deep Vision Learning

    Associate Advisor

    Other advisors: Dr Yadan Luo, Associate Professor Sen Wang

  • Doctor Philosophy

    Towards Open-vocabulary 3D Object Detection

    Associate Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

    Multimodal Sensing System for 3D Vision

    Associate Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

    Enhancing Safety and Reliability of machine learning models using lifelong multi-modal learning

    Associate Advisor

    Other advisors: Dr Yadan Luo, Associate Professor Mahsa Baktashmotlagh

  • Doctor Philosophy

    Unsupervised Domain Adaptation on 3D Object Detection and Segmentation

    Associate Advisor

    Other advisors: Associate Professor Mahsa Baktashmotlagh, Dr Yadan Luo

  • 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

    Two way Auslan Translation

    Associate Advisor

    Other advisors: Dr Xin Yu

  • Doctor Philosophy

    Data-Centric Advancements in Neural Radiance Fields for 3D Reconstruction

    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

    Open-domain Dialogue Generation

    Associate Advisor

    Other advisors: Professor Xue Li

  • Doctor Philosophy

    Information Dissemination Prediction for Emerging Video Sharing Platforms

    Associate Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

    Maximizing Object Detection Dataset Efficiency through the Power of Active Learning

    Associate Advisor

    Other advisors: Dr Yadan Luo

Completed supervision

Enquiries

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