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)

121 - 140 of 304 works

2020

Journal Article

Flexible discrete multi-view hashing with collective latent feature learning

Liu, Luyao, Zhang, Zheng and Huang, Zi (2020). Flexible discrete multi-view hashing with collective latent feature learning. Neural Processing Letters, 52 (3), 1765-1791. doi: 10.1007/s11063-020-10221-y

Flexible discrete multi-view hashing with collective latent feature learning

2020

Conference Publication

CANZSL: Cycle-consistent adversarial networks for zero-shot learning from natural language

Chen, Zhi, Li, Jingjing, Luo, Yadan, Huang, Zi and Yangyang, Yangyang (2020). CANZSL: Cycle-consistent adversarial networks for zero-shot learning from natural language. IEEE Winter Conference on Applications of Computer Vision (WACV), Snowmass, CO United States, 1-5 March 2020. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/WACV45572.2020.9093610

CANZSL: Cycle-consistent adversarial networks for zero-shot learning from natural language

2020

Conference Publication

PAIC: Parallelised Attentive Image Captioning

Wang, Ziwei, Huang, Zi and Luo, Yadan (2020). PAIC: Parallelised Attentive Image Captioning. 31st Australasian Database Conference, ADC 2020, Melbourne, VIC, Australia, February 3–7, 2020. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-39469-1_2

PAIC: Parallelised Attentive Image Captioning

2020

Conference Publication

Semi-supervised cross-modal hashing with graph convolutional networks

Duan, Jiasheng, Luo, Yadan, Wang, Ziwei and Huang, Zi (2020). Semi-supervised cross-modal hashing with graph convolutional networks. Australasian Database Conference, Melbourne, VIC, Australia, 3-7 February 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-39469-1_8

Semi-supervised cross-modal hashing with graph convolutional networks

2020

Conference Publication

Fashion recommendation with multi-relational representation learning

Li, Yang, Luo, Yadan and Huang, Zi (2020). Fashion recommendation with multi-relational representation learning. 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, Singapore, 11-14 May 2020. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-47426-3_1

Fashion recommendation with multi-relational representation learning

2020

Conference Publication

Next point-of-interest recommendation on resource-constrained mobile devices

Wang, Qinyong, Yin, Hongzhi, Chen, Tong, Huang, Zi, Wang, Hao, Zhao, Yanchang and Viet Hung, Nguyen Quoc (2020). Next point-of-interest recommendation on resource-constrained mobile devices. WWW '20: The Web Conference 2020, Taipei, Taiwan, April 2020. New York, United States: Association for Computing Machinery. doi: 10.1145/3366423.3380170

Next point-of-interest recommendation on resource-constrained mobile devices

2020

Conference Publication

GCN-based user representation learning for unifying robust recommendation and fraudster detection

Zhang, Shijie, Yin, Hongzhi, Chen, Tong, Hung, Quoc Viet Nguyen, Huang, Zi and Cui, Lizhen (2020). GCN-based user representation learning for unifying robust recommendation and fraudster detection. SIGIR '20: 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, Online, July 2020. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3397271.3401165

GCN-based user representation learning for unifying robust recommendation and fraudster detection

2020

Conference Publication

Graph-based relation-aware representation learning for clothing matching

Li, Yang, Luo, Yadan and Huang, Zi (2020). Graph-based relation-aware representation learning for clothing matching. Australasian Database Conference, Melbourne, VIC, Australia, 3-7 February 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-39469-1_15

Graph-based relation-aware representation learning for clothing matching

2020

Conference Publication

Progressive graph learning for open-set domain adaptation

Luo, Yadan, Wang, Zijian, Huang, Zi and Baktashmotlagh, Mahsa (2020). Progressive graph learning for open-set domain adaptation. 37th International Conference on Machine Learning ICML 2020, Vienna, Austria, 12-18 July 2020 . International Machine Learning Society .

Progressive graph learning for open-set domain adaptation

2020

Conference Publication

Group recommendation with latent voting mechanism

Guo, Lei, Yin, Hongzhi, Wang, Qinyong, Cui, Bin, Huang, Zi and Cui, Lizhen (2020). Group recommendation with latent voting mechanism. 2020 IEEE 36th International Conference on Data Engineering (ICDE), Dallas, TX, United States, 20-24 April 2020. Washington, DC, United States: IEEE Computer Society. doi: 10.1109/ICDE48307.2020.00018

Group recommendation with latent voting mechanism

2020

Journal Article

Inductive structure consistent hashing via flexible semantic calibration

Zhang, Zheng, Liu, Luyao, Luo, Yadan, Huang, Zi, Shen, Fumin, Shen, Heng Tao and Lu, Guangming (2020). Inductive structure consistent hashing via flexible semantic calibration. IEEE Transactions on Neural Networks and Learning Systems, 32 (10), 1-15. doi: 10.1109/tnnls.2020.3018790

Inductive structure consistent hashing via flexible semantic calibration

2019

Journal Article

Scalable supervised asymmetric hashing with semantic and latent factor embedding

Zhang, Zheng, Lai, Zhihui, Huang, Zi, Wong, Wai Keung, Xie, Guo-Sen, Liu, Li and Shao, Ling (2019). Scalable supervised asymmetric hashing with semantic and latent factor embedding. IEEE Transactions on Image Processing, 28 (10) 8709760, 4803-4818. doi: 10.1109/tip.2019.2912290

Scalable supervised asymmetric hashing with semantic and latent factor embedding

2019

Journal Article

Discrete hashing with multiple supervision

Luo, Xin, Zhang, Peng-Fei, Huang, Zi, Nie, Liqiang and Xu, Xin-Shun (2019). Discrete hashing with multiple supervision. IEEE Transactions on Image Processing, 28 (6) 8610117, 2962-2975. doi: 10.1109/tip.2019.2892703

Discrete hashing with multiple supervision

2019

Journal Article

Embedding and predicting the event at early stage

Liu, Zhiwei, Yang, Yang, Huang, Zi, Shen, Fumin, Zhang, Dongxiang and Shen, Heng Tao (2019). Embedding and predicting the event at early stage. World Wide Web, 22 (3), 1055-1074. doi: 10.1007/s11280-018-0545-6

Embedding and predicting the event at early stage

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

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

    Active Learning for Multi-modal 3D Perception

    Principal Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

    Data driven approaches for smart farming

    Principal Advisor

    Other advisors: Dr Xin Yu

  • Doctor Philosophy

    efficiency oriented multimedia system

    Principal Advisor

    Other advisors: Dr Ruihong Qiu

  • 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

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

    Principal Advisor

  • Doctor Philosophy

    Towards Privacy-Preserving and Fairness-Aware Federated Recommendation Systems

    Principal Advisor

    Other advisors: Dr Ruihong Qiu, Associate Professor Guangdong Bai

  • 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

    Multimodal Representation Learning for Responsive Video-sharing Services

    Principal Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

    Remote Sensing Analysis in computer vision

    Principal Advisor

    Other advisors: Dr Xin Yu

  • Doctor Philosophy

    Towards Explainable Multi-source Multivariate Time-series Analysis

    Associate Advisor

    Other advisors: Associate Professor Sen Wang, Dr Yadan Luo

  • Doctor Philosophy

    Maximizing Object Detection Dataset Efficiency through the Power of Active Learning

    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

    Towards Practical Adaptation to Domain Shift in Deep Vision Learning

    Associate Advisor

    Other advisors: Dr Yadan Luo, Associate Professor Sen Wang

  • 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

  • Doctor Philosophy

    Information Dissemination Prediction for Emerging Video Sharing Platforms

    Associate Advisor

    Other advisors: 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

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

    Associate Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

    Towards Open-vocabulary 3D Object Detection

    Associate Advisor

    Other advisors: Dr Yadan Luo

Completed supervision

Enquiries

For media enquiries about Professor Helen Huang's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au