Professor Helen Huang
Professor

Helen Huang

Email: 
Phone: 
+61 7 336 53239

Background

Helen Huang is a Professor and the Discipline Leader for Data Science in the School of EECS at 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 EECS, The University of Queensland in 2001 and 2007 respectively. Helen's research interests mainly include multimedia indexing and search, computer vision, recommender systems, social data analysis and knowledge discovery. She has published 200+ papers in prestigious venues, and has served as an Associate Editor for The VLDB Journal, ACM Computing Surveys, ACM Transactions on Information Systems (TOIS), IEEE Transactions on Multimedia (TMM), Pattern Recognition Journal, etc and also a member of the VLDB Endowment Board of Trustees. Helen has been elevated to IEEE Fellow for her contributions to multi-modal data management and ACM Fellow for contributions to large-scale multimedia content understanding, indexing and retrieval.

Helen 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.

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 Computing

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

  • Machine Learning

    Few-shot/Zero-shot Learning; Domain adaptation/Generalisation; Adversarial learning; Graph learning; Test-time Adaptation; Model Efficiency

  • Computer Vision

    3D Vision; Autonomous Driving; Embodied AI

  • Responsible Information Systems

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

  • Social Media Analytics

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

  • 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

329 works between 2003 and 2026
All (329) Journal Article (119) Other Outputs (2) Edited Outputs (1) Conference Publication (205) Book Chapter (2)

61 - 80 of 329 works

2023

Conference Publication

Toward a unified framework for RGB and RGB-D visual navigation

Du, Heming, Huang, Zi, Chapman, Scott and Yu, Xin (2023). Toward a unified framework for RGB and RGB-D visual navigation. 36th Australasian Joint Conference on Artificial Intelligence, AJCAI 2023, Brisbane, QLD Australia, 28 November –1 December 2023. Singapore: Springer. doi: 10.1007/978-981-99-8391-9_29

Toward a unified framework for RGB and RGB-D visual navigation

2023

Journal Article

Semantic enhanced video captioning with multi-feature fusion

Niu, Tian-Zi, Dong, Shan-Shan, Chen, Zhen-Duo, Luo, Xin, Guo, Shanqing, Huang, Zi and Xu, Xin-Shun (2023). Semantic enhanced video captioning with multi-feature fusion. ACM Transactions on Multimedia Computing, Communications, and Applications, 19 (6) 182, 1-21. doi: 10.1145/3588572

Semantic enhanced video captioning with multi-feature fusion

2023

Conference Publication

Zero-shot learning by harnessing adversarial samples

Chen, Zhi, Zhang, Pengfei, Li, Jingjing, Wang, Sen and Huang, Zi (2023). Zero-shot learning by harnessing adversarial samples. MM '23: The 31st ACM International Conference on Multimedia, Ottawa, ON Canada, 29 October - 3 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3581783.3611823

Zero-shot learning by harnessing adversarial samples

2023

Conference Publication

Cal-SFDA: Source-free domain-adaptive semantic segmentation with differentiable expected calibration error

Wang, Zixin, Luo, Yadan, Chen, Zhi, Wang, Sen and Huang, Zi (2023). Cal-SFDA: Source-free domain-adaptive semantic segmentation with differentiable expected calibration error. MM '23: The 31st ACM International Conference on Multimedia, Ottawa, ON Canada, 29 October - 3 November 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3581783.3611808

Cal-SFDA: Source-free domain-adaptive semantic segmentation with differentiable expected calibration error

2023

Conference Publication

KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection

Luo, Yadan, Chen, Zhuoxiao, Fang, Zhen, Zhang, Zheng, Baktashmotlagh, Mahsa and Huang, Zi (2023). KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection. IEEE/CVF International Conference on Computer Vision 2023 (ICCV), Paris, France, 2-6 October 2021. Paris, France: Computer Vision Foundation. doi: 10.1109/iccv51070.2023.01676

KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection

2023

Conference Publication

Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling

Chen, Zhuoxiao, Luo, Yadan, Wang, Zheng, Baktashmotlagh, Mahsa and Huang, Zi (2023). Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling. IEEE/CVF International Conference on Computer Vision 2023 (ICCV), Paris, France, 2-6 October 2023. Paris, France: Computer Vision Foundation. doi: 10.1109/iccv51070.2023.00344

Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling

2023

Conference Publication

How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability

Wang, Zijian, Luo, Yadan, Zheng, Liang, Huang, Zi and Baktashmotlagh, Mahsa (2023). How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability. IEEE/CVF International Conference on Computer Vision 2023 (ICCV), Paris, France, 2-6 October 2023. Paris, France: Computer Vision Foundation. doi: 10.1109/iccv51070.2023.00511

How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability

2023

Conference Publication

ICMR 2023 Program Chairs Welcome Message

Mazaris, Vasileios, Papadopoulos, Symeon, Popescu, Adrian and Huang, Zi Helen (2023). ICMR 2023 Program Chairs Welcome Message. ICMR 2023, Thessaloniki, Greece, 12 – 15 June 2023. Association for Computing Machinery.

ICMR 2023 Program Chairs Welcome Message

2023

Journal Article

Video captioning by learning from global sentence and looking ahead

Niu, Tian-Zi, Chen, Zhen-Duo, Luo, Xin, Zhang, Peng-Fei, Huang, Zi and Xu, Xin-Shun (2023). Video captioning by learning from global sentence and looking ahead. ACM Transactions on Multimedia Computing, Communications, and Applications, 19 (5s) 171, 1-20. doi: 10.1145/3587252

Video captioning by learning from global sentence and looking ahead

2023

Conference Publication

Object-goal visual navigation via effective exploration of relations among historical navigation states

Du, Heming, Li, Lincheng, Huang, Zi and Yu, Xin (2023). Object-goal visual navigation via effective exploration of relations among historical navigation states. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada, 17-24 June 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/cvpr52729.2023.00252

Object-goal visual navigation via effective exploration of relations among historical navigation states

2023

Conference Publication

Exploring active 3D object detection from a generalization perspective

Luo, Yadan, Chen, Zhuoxiao, Wang, Zijian, Yu, Xin, Huang, Zi and Baktashmotlagh, Mahsa (2023). Exploring active 3D object detection from a generalization perspective. 11th International Conference on Learning Representations (ICLR), Kigali, Rwanda, 1 - 5 May 2023. New York, NY, United States: Cornell Tech. doi: 10.48550/arXiv.2301.09249

Exploring active 3D object detection from a generalization perspective

2023

Conference Publication

Semi-decentralized federated ego graph learning for recommendation

Qu, Liang, Tang, Ningzhi, Zheng, Ruiqi, Nguyen, Quoc Viet Hung, Huang, Zi, Shi, Yuhui and Yin, Hongzhi (2023). Semi-decentralized federated ego graph learning for recommendation. The ACM Web Conference 2023, Austin, TX United States, 30 April - 4 May 2023. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3543507.3583337

Semi-decentralized federated ego graph learning for recommendation

2023

Journal Article

Source-free progressive graph learning for open-set domain adaptation

Luo, Yadan, Wang, Zijian, Chen, Zhuoxiao, Huang, Zi and Baktashmotlagh, Mahsa (2023). Source-free progressive graph learning for open-set domain adaptation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 (9), 1-16. doi: 10.1109/tpami.2023.3270288

Source-free progressive graph learning for open-set domain adaptation

2023

Journal Article

A multi-layer memory sharing network for video captioning

Niu, Tian-Zi, Dong, Shan-Shan, Chen, Zhen-Duo, Luo, Xin, Huang, Zi, Guo, Shanqing and Xu, Xin-Shun (2023). A multi-layer memory sharing network for video captioning. Pattern Recognition, 136 109202, 1-11. doi: 10.1016/j.patcog.2022.109202

A multi-layer memory sharing network for video captioning

2023

Journal Article

DeHIN: a decentralized framework for embedding large-scale heterogeneous information networks

Imran, Mubashir, Yin, Hongzhi, Chen, Tong, Huang, Zi and Zheng, Kai (2023). DeHIN: a decentralized framework for embedding large-scale heterogeneous information networks. IEEE Transactions on Knowledge and Data Engineering, 35 (4), 3645-3657. doi: 10.1109/TKDE.2022.3141951

DeHIN: a decentralized framework for embedding large-scale heterogeneous information networks

2023

Journal Article

Interpretable signed link prediction with signed infomax hyperbolic graph

Luo, Yadan, Huang, Zi, Chen, Hongxu, Yang, Yang, Yin, Hongzhi and Baktashmotlagh, Mahsa (2023). Interpretable signed link prediction with signed infomax hyperbolic graph. IEEE Transactions on Knowledge and Data Engineering, 35 (4), 3991-4002. doi: 10.1109/TKDE.2021.3139035

Interpretable signed link prediction with signed infomax hyperbolic graph

2023

Journal Article

Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuning

Wen, Ji-Rong, Huang, Zi and Zhang, Hanwang (2023). Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuning. Machine Intelligence Research, 20 (2), 145-146. doi: 10.1007/s11633-023-1431-y

Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuning

2023

Conference Publication

Beyond double ascent via recurrent neural tangent kernel in sequential recommendation

Qiu, Ruihong, Huang, Zi and Yin, Hongzhi (2023). Beyond double ascent via recurrent neural tangent kernel in sequential recommendation. 22nd IEEE International Conference on Data Mining (ICDM), Orlando, FL USA, 28 November-1 December 2022. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm54844.2022.00053

Beyond double ascent via recurrent neural tangent kernel in sequential recommendation

2023

Journal Article

Uniting heterogeneity, inductiveness, and efficiency for graph representation learning

Chen, Tong, Yin, Hongzhi, Ren, Jie, Huang, Zi, Zhang, Xiangliang and Wang, Hao (2023). Uniting heterogeneity, inductiveness, and efficiency for graph representation learning. IEEE Transactions on Knowledge and Data Engineering, 35 (2), 2103-2117. doi: 10.1109/TKDE.2021.3100529

Uniting heterogeneity, inductiveness, and efficiency for graph representation learning

2023

Journal Article

Proactive privacy-preserving learning for cross-modal retrieval

Zhang, Peng-Fei, Bai, Guangdong, Yin, Hongzhi and Huang, Zi (2023). Proactive privacy-preserving learning for cross-modal retrieval. ACM Transactions on Information Systems, 41 (2) 35, 1-23. doi: 10.1145/3545799

Proactive privacy-preserving learning for cross-modal retrieval

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 - 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

  • 2023 - 2026
    Road Atlas: AI-power platform for automated road distress detection and asset management
    Logan City Council
    Open grant
  • 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

Looking for a supervisor? Read our advice on how to choose a supervisor.

Supervision history

Current supervision

  • Doctor Philosophy

    Fairness-aware Recommender Systems for Marginalized User Groups

    Principal Advisor

    Other advisors: Dr Jie Wang, Associate Professor Rocky Chen

  • Doctor Philosophy

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

    Principal Advisor

    Other advisors: Dr Zijian Wang

  • Doctor Philosophy

    Data driven approaches for smart farming

    Principal Advisor

    Other advisors: Associate Professor Xin Yu

  • Doctor Philosophy

    Advancing Embodied Visual Content understanding through Egocentric Videos

    Principal Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

    Latent Reasoning for Unifying Amodal Completion and Domain Generalization in Visual Foundation Model

    Principal Advisor

    Other advisors: Dr Zijian Wang

  • Doctor Philosophy

    Foundation-Model-Guided Gaussian Modelling for Immersive 3D Scene Simulation

    Principal Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

    Structure-Aware Legal Case Retrieval

    Principal Advisor

    Other advisors: Professor Xue Li

  • Doctor Philosophy

    Efficient Remote Sensing under Real-world Constraints

    Principal Advisor

    Other advisors: Associate Professor Xin Yu

  • Doctor Philosophy

    Towards Comprehensive Australian Sign Language Understanding: Datasets, Methodologies, and Systems

    Associate Advisor

    Other advisors: Dr Heming Du, Associate Professor Xin Yu

  • Doctor Philosophy

    Deformation and Failure Mechanisms in the Shaping Process of Roll-Bonded Hybrid Bilayer Steel

    Associate Advisor

    Other advisors: Associate Professor Mingyuan Lu

  • Doctor Philosophy

    Multimodal Learning for Advanced Graph Data Analysis

    Associate Advisor

    Other advisors: Dr Yujun Cai, Dr Ruihong Qiu

  • Doctor Philosophy

    Active Learning for Multi-modal 3D Perception

    Associate Advisor

    Other advisors: Dr Priyanka Singh

  • Doctor Philosophy

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

    Associate Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

    Fairness in Graph Representation Learning Models

    Associate Advisor

    Other advisors: Dr Ruihong Qiu

  • Doctor Philosophy

    Data-Driven Crop Breeding: Enhancing Disease Resistance through Vision-based Digital Phenotyping

    Associate Advisor

    Other advisors: Professor Scott Chapman, Dr Ruihong Qiu, Dr Millicent Smith, Dr Shanice Van Haeften, Associate Professor Sen Wang

  • 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

    efficiency oriented multimedia system

    Associate Advisor

    Other advisors: Dr Ruihong Qiu

  • Doctor Philosophy

    Controlling Knowledge Dynamics in Pre-trained Deep Neural Networks

    Associate Advisor

    Other advisors: Dr Yadan Luo, Associate Professor Mahsa Baktashmotlagh

  • Doctor Philosophy

    Advancing Reasoning Ability of Large Language Models

    Associate Advisor

    Other advisors: Dr Ruihong Qiu

  • Doctor Philosophy

    Reasoning in Knowledge Editing of Large Language Models

    Associate Advisor

    Other advisors: Dr Ruihong Qiu

  • Doctor Philosophy

    Towards Open-vocabulary 3D Object Detection

    Associate Advisor

    Other advisors: Dr Yadan Luo

  • Doctor Philosophy

    Towards Privacy-Preserving and Fairness-Aware Federated Recommendation Systems

    Associate Advisor

    Other advisors: Dr Ruihong Qiu

  • Doctor Philosophy

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

    Associate Advisor

    Other advisors: Dr Ruihong Qiu

  • Doctor Philosophy

    Multimodal Representation Learning for Responsive Video-sharing Services

    Associate Advisor

    Other advisors: Dr Yadan Luo, Associate Professor Rocky Chen

  • Doctor Philosophy

    Diagnostic data analytics for sewer inflow and infiltration

    Associate Advisor

    Other advisors: Dr Ruihong Qiu, Honorary Professor Zhiguo Yuan

  • Doctor Philosophy

    Open-domain Dialogue Generation

    Associate Advisor

    Other advisors: Dr Priyanka Singh, Professor Xue Li

  • 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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