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

306 works between 2003 and 2025
All (306) Journal Article (112) Book Chapter (2) Conference Publication (189) Other Outputs (2) Edited Outputs (1)

81 - 100 of 306 works

2021

Conference Publication

Domain adaptive semantic segmentation without source data

You, Fuming, Li, Jingjing, Zhu, Lei, Chen, Zhi and Huang, Zi (2021). Domain adaptive semantic segmentation without source data. MM '21: Proceedings of the 29th ACM International Conference on Multimedia, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475482

Domain adaptive semantic segmentation without source data

2021

Conference Publication

Semantics disentangling for generalized zero-shot learning

Chen, Zhi, Luo, Yadan, Qiu, Ruihong, Wang, Sen, Huang, Zi, Li, Jingjing and Zhang, Zheng (2021). Semantics disentangling for generalized zero-shot learning. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC Canada, 10-17 October 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/iccv48922.2021.00859

Semantics disentangling for generalized zero-shot learning

2021

Conference Publication

Learning Transferrable and Interpretable Representations for Domain Generalization

Du, Zhekai, Li, Jingjing, Lu, Ke, Zhu, Lei and Huang, Zi (2021). Learning Transferrable and Interpretable Representations for Domain Generalization. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3474085.3475488

Learning Transferrable and Interpretable Representations for Domain Generalization

2021

Conference Publication

CausalRec: causal inference for visual debiasing in visually-aware recommendation

Qiu, Ruihong, Wang, Sen, Chen, Zhi, Yin, Hongzhi and Huang, Zi (2021). CausalRec: causal inference for visual debiasing in visually-aware recommendation. MM '21: ACM Multimedia Conference, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475266

CausalRec: causal inference for visual debiasing in visually-aware recommendation

2021

Conference Publication

Mitigating Generation Shifts for Generalized Zero-Shot Learning

Chen, Zhi, Luo, Yadan, Wang, Sen, Qiu, Ruihong, Li, Jingjing and Huang, Zi (2021). Mitigating Generation Shifts for Generalized Zero-Shot Learning. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. Washington, DC United States: Association for Computing Machinery. doi: 10.1145/3474085.3475258

Mitigating Generation Shifts for Generalized Zero-Shot Learning

2021

Conference Publication

Local graph convolutional networks for cross-modal hashing

Chen, Yudong, Wang, Sen, Lu, Jianglin, Chen, Zhi, Zhang, Zheng and Huang, Zi (2021). Local graph convolutional networks for cross-modal hashing. ACM International Conference on Multimedia, Chengdu, China (Virtual), 20-24 October 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3474085.3475346

Local graph convolutional networks for cross-modal hashing

2021

Journal Article

Exploiting subspace relation in semantic labels for cross-modal hashing

Shen, Heng Tao, Liu, Luchen, Yang, Yang, Xu, Xing, Huang, Zi, Shen, Fumin and Hong, Richang (2021). Exploiting subspace relation in semantic labels for cross-modal hashing. IEEE Transactions on Knowledge and Data Engineering, 33 (10), 3351-3365. doi: 10.1109/TKDE.2020.2970050

Exploiting subspace relation in semantic labels for cross-modal hashing

2021

Conference Publication

Learning elastic embeddings for customizing on-device recommenders

Chen, Tong, Yin, Hongzhi, Zheng, Yujia, Huang, Zi, Wang, Yang and Wang, Meng (2021). Learning elastic embeddings for customizing on-device recommenders. 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, Virtual (Singapore), 14-18 August 2021. New York, NY, United States: ACM. doi: 10.1145/3447548.3467220

Learning elastic embeddings for customizing on-device recommenders

2021

Conference Publication

Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation

Li, Yang, Chen, Tong, Luo, Yadan, Yin, Hongzhi and Huang, Zi (2021). Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Montreal, QC Canada, 19 - 27 August 2021. Palo Alto, CA United States: A A A I Press. doi: 10.24963/ijcai.2021/206

Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation

2021

Journal Article

Attribute-aware explainable complementary clothing recommendation

Li, Yang, Chen, Tong and Huang, Zi (2021). Attribute-aware explainable complementary clothing recommendation. World Wide Web, 24 (5), 1885-1901. doi: 10.1007/s11280-021-00913-3

Attribute-aware explainable complementary clothing recommendation

2021

Conference Publication

Learning to ask appropriate questions in conversational recommendation

Ren, Xuhui, Yin, Hongzhi, Chen, Tong, Wang, Hao, Huang, Zi and Zheng, Kai (2021). Learning to ask appropriate questions in conversational recommendation. SIGIR '21: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, 11-15 July 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3404835.3462839

Learning to ask appropriate questions in conversational recommendation

2021

Conference Publication

Privacy protection in deep multi-modal retrieval

Zhang, Peng-Fei, Li, Yang, Huang, Zi and Yin, Hongzhi (2021). Privacy protection in deep multi-modal retrieval. 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual, 11-15 July 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3404835.3462837

Privacy protection in deep multi-modal retrieval

2021

Journal Article

Suicidal ideation and mental disorder detection with attentive relation networks

Ji, Shaoxiong, Li, Xue, Huang, Zi and Cambria, Erik (2021). Suicidal ideation and mental disorder detection with attentive relation networks. Neural Computing and Applications, 34 (13), 10309-10319. doi: 10.1007/s00521-021-06208-y

Suicidal ideation and mental disorder detection with attentive relation networks

2021

Conference Publication

Graph embedding for recommendation against attribute inference attacks

Zhang, Shijie, Yin, Hongzhi, Chen, Tong, Huang, Zi, Cui, Lizhen and Zhang, Xiangliang (2021). Graph embedding for recommendation against attribute inference attacks. WWW '21: Proceedings of the Web Conference 2021, Ljubljana, Slovenia, 19-22 April 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3442381.3449813

Graph embedding for recommendation against attribute inference attacks

2021

Conference Publication

DDHH: A decentralized deep learning framework for large-scale heterogeneous networks

Imran, Mubashir, Yin, Hongzhi, Chen, Tong, Huang, Zi, Zhang, Xiangliang and Zheng, Kai (2021). DDHH: A decentralized deep learning framework for large-scale heterogeneous networks. 2021 IEEE 37th International Conference on Data Engineering (ICDE), Chania, Greece, 19-22 April 2021. Washington, DC USA: IEEE Computer Society. doi: 10.1109/ICDE51399.2021.00196

DDHH: A decentralized deep learning framework for large-scale heterogeneous networks

2021

Journal Article

High-order nonlocal Hashing for unsupervised cross-modal retrieval

Zhang, Peng-Fei, Luo, Yadan, Huang, Zi, Xu, Xin-Shun and Song, Jingkuan (2021). High-order nonlocal Hashing for unsupervised cross-modal retrieval. World Wide Web, 24 (2), 563-583. doi: 10.1007/s11280-020-00859-y

High-order nonlocal Hashing for unsupervised cross-modal retrieval

2021

Conference Publication

Modeling Daily Crime Events Prediction Using Seq2Seq Architecture

Alghamdi, Jawaher and Huang, Zi (2021). Modeling Daily Crime Events Prediction Using Seq2Seq Architecture. 32nd Australasian Database Conference (ADC) Held as Part of Australasian Computer Science Week (ACSW), Online, 29 January - 5 February 2021. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-69377-0_16

Modeling Daily Crime Events Prediction Using Seq2Seq Architecture

2021

Journal Article

Aggregation-based graph convolutional hashing for unsupervised cross-modal retrieval

Zhang, Peng-Fei, Li, Yang, Huang, Zi and Xu, Xin-Shun (2021). Aggregation-based graph convolutional hashing for unsupervised cross-modal retrieval. IEEE Transactions on Multimedia, 24, 466-479. doi: 10.1109/TMM.2021.3053766

Aggregation-based graph convolutional hashing for unsupervised cross-modal retrieval

2021

Conference Publication

Learning to diversify for single domain generalization

Wang, Zijian, Luo, Yadan, Qiu, Ruihong, Huang, Zi and Baktashmotlagh, Mahsa (2021). Learning to diversify for single domain generalization. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC Canada, 10-17 October 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCV48922.2021.00087

Learning to diversify for single domain generalization

2021

Conference Publication

Memory augmented multi-instance contrastive predictive coding for sequential recommendation

Qiu, Ruihong, Huang, Zi and Yin, Hongzhi (2021). Memory augmented multi-instance contrastive predictive coding for sequential recommendation. IEEE International Conference on Data Mining, Auckland, New Zealand, 7-10 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM51629.2021.00063

Memory augmented multi-instance contrastive predictive coding for sequential recommendation

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

    efficiency oriented multimedia system

    Principal Advisor

    Other advisors: Dr Ruihong Qiu

  • 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

    Graph Mining for Legal Case Retrieval

    Principal Advisor

    Other advisors: Professor Xue Li

  • Doctor Philosophy

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

    Principal Advisor

  • Doctor Philosophy

    Data driven approaches for smart farming

    Principal Advisor

  • Doctor Philosophy

    Multimodal Representation Learning for Responsive Video-sharing Services

    Principal Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

    Towards Privacy-Preserving and Fairness-Aware Federated Recommendation Systems

    Principal Advisor

    Other advisors: Dr Ruihong Qiu, Associate Professor Guangdong Bai

  • Doctor Philosophy

    Fairness in Graph Representation Learning Models

    Principal Advisor

    Other advisors: Associate Professor Guangdong Bai

  • Doctor Philosophy

    Remote Sensing Analysis in computer vision

    Principal Advisor

  • Doctor Philosophy

    Active Learning for Multi-modal 3D Perception

    Principal Advisor

    Other advisors: 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

    Unsupervised Domain Adaptation on 3D Object Detection and Segmentation

    Associate Advisor

    Other advisors: Associate Professor Mahsa Baktashmotlagh, 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

    Multimodal Sensing System for 3D Vision

    Associate Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

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

    Associate Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

    Information Dissemination Prediction for Emerging Video Sharing Platforms

    Associate Advisor

    Other advisors: 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

    Open-domain Dialogue Generation

    Associate Advisor

    Other advisors: Professor Xue Li

  • Doctor Philosophy

    Two way Auslan Translation

    Associate Advisor

  • Doctor Philosophy

    Maximizing Object Detection Dataset Efficiency through the Power of Active Learning

    Associate Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

    Towards Practical Adaptation to Domain Shift in Deep Vision Learning

    Associate Advisor

    Other advisors: Dr Yadan Luo, Associate Professor Sen Wang

Completed supervision

Enquiries

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