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)

61 - 80 of 306 works

2022

Conference Publication

Machine unlearning for image retrieval : a generative scrubbing approach

Zhang, Peng-Fei, Bai, Guangdong, Huang, Zi and Xu, Xin-Shun (2022). Machine unlearning for image retrieval : a generative scrubbing approach. MM '22: The 30th ACM International Conference on Multimedia, Lisbon, Portugal, 10-14 October 2022. New York, United States: Association for Computing Machinery. doi: 10.1145/3503161.3548378

Machine unlearning for image retrieval : a generative scrubbing approach

2022

Conference Publication

Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant Apps

Xie, Fuman, Zhang, Yanjun, Yan, Chuan, Li, Suwan, Bu, Lei, Chen, Kai, Huang, Zi and Bai, Guangdong (2022). Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant Apps. ASE '22: 37th IEEE/ACM International Conference on Automated Software Engineering, Rochester, MI United States, 10 - 14 October 2022. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3551349.3560416

Scrutinizing Privacy Policy Compliance of Virtual Personal Assistant Apps

2022

Journal Article

Special issue on responsible data management and data science

Huang, Zi, Shen, Yanyan and Srivastava, Divesh (2022). Special issue on responsible data management and data science. VLDB Journal, 31 (5), 823-823. doi: 10.1007/s00778-022-00761-1

Special issue on responsible data management and data science

2022

Conference Publication

Discovering domain disentanglement for generalized multi-source domain adaptation

Wang, Zixin, Luo, Yadan, Zhang, Peng-Fei, Wang, Sen and Huang, Zi (2022). Discovering domain disentanglement for generalized multi-source domain adaptation. 2022 IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, 18-22 July 2022. Piscataway, NJ United States: IEEE Computer Society. doi: 10.1109/icme52920.2022.9859733

Discovering domain disentanglement for generalized multi-source domain adaptation

2022

Journal Article

Long short-term enhanced memory for sequential recommendation

Duan, Jiasheng, Zhang, Peng-Fei, Qiu, Ruihong and Huang, Zi (2022). Long short-term enhanced memory for sequential recommendation. World Wide Web, 26 (2), 1-23. doi: 10.1007/s11280-022-01056-9

Long short-term enhanced memory for sequential recommendation

2022

Conference Publication

Uniting heterogeneity, inductiveness, and efficiency for graph representation learning (Extended Abstract)

Chen, Tong, Yin, Hongzhi, Ren, Jie, Huang, Zi, Zhang, Xiangliang and Wang, Hao (2022). Uniting heterogeneity, inductiveness, and efficiency for graph representation learning (Extended Abstract). 2022 IEEE 38th International Conference on Data Engineering (ICDE), Kuala Lumpur, Malaysia, 9-12 May 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/icde53745.2022.00143

Uniting heterogeneity, inductiveness, and efficiency for graph representation learning (Extended Abstract)

2022

Journal Article

Exploiting positional information for session-based recommendation

Qiu, Ruihong, Huang, Zi, Chen, Tong and Yin, Hongzhi (2022). Exploiting positional information for session-based recommendation. ACM Transactions on Information Systems, 40 (2) 3473339, 1-24. doi: 10.1145/3473339

Exploiting positional information for session-based recommendation

2022

Conference Publication

Contrastive learning for representation degeneration problem in sequential recommendation

Qiu, Ruihong, Huang, Zi, Yin, Hongzhi and Wang, Zijian (2022). Contrastive learning for representation degeneration problem in sequential recommendation. WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, Virtual, AZ, United States, 21 - 25 February 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3488560.3498433

Contrastive learning for representation degeneration problem in sequential recommendation

2022

Conference Publication

PipA!ack: poisoning federated recommender systems for manipulating item promotion

Zhang, Shijie, Yin, Hongzhi, Chen, Tong, Huang, Zi, Nguyen, Quoc Viet Hung and Cui, Lizhen (2022). PipA!ack: poisoning federated recommender systems for manipulating item promotion. WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, Virtual, AZ, United States, 21 - 25 February 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3488560.3498386

PipA!ack: poisoning federated recommender systems for manipulating item promotion

2022

Journal Article

MRA-Net: improving VQA via multi-modal relation attention network

Peng, Liang, Yang, Yang, Wang, Zheng, Huang, Zi and Shen, Heng Tao (2022). MRA-Net: improving VQA via multi-modal relation attention network. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44 (1), 318-329. doi: 10.1109/tpami.2020.3004830

MRA-Net: improving VQA via multi-modal relation attention network

2022

Journal Article

Preface

Chbeir, Richard, Huang, Helen, Silvestri, Fabrizio, Manolopoulos, Yannis and Zhang, Yanchun (2022). Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13724 LNCS, v-vi.

Preface

2022

Conference Publication

Improved feature distillation via projector ensemble

Chen, Yudong, Wang, Sen, Liu, Jiajun, Xu, Xuwei, de Hoog, Frank and Huang, Zi (2022). Improved feature distillation via projector ensemble. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, United States, 29 November-1 December 2022. New Orleans, LA, United States: Neural information processing systems foundation.

Improved feature distillation via projector ensemble

2022

Journal Article

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

Imran, Mubashir, Yin, Hongzhi, Chen, Tong, Huang, Zi and Zheng, Kai (2022). DeHIN: a decentralized framework for embedding large-scale heterogeneous information networks. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-1. doi: 10.1109/TKDE.2022.3141951

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

2022

Edited Outputs

Web Information Systems Engineering – WISE 2022 : 23rd International Conference, Proceedings

Chbeir, Richard, Huang, Helen, Silvestri, Fabrizio, Manolopoulos, Yannis and Zhang, Yanchun eds. (2022). Web Information Systems Engineering – WISE 2022 : 23rd International Conference, Proceedings. WISE 2022 : 23rd International Conference, Biarritz, France, 1–3 November 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-20891-1

Web Information Systems Engineering – WISE 2022 : 23rd International Conference, Proceedings

2021

Journal Article

Interpretable signed link prediction with signed infomax hyperbolic graph

Luo, Yadan, Huang, Zi, Chen, Hongxu, Yang, Yang, Yin, Hongzhi and Baktashmotlagh, Mahsa (2021). Interpretable signed link prediction with signed infomax hyperbolic graph. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-1. doi: 10.1109/TKDE.2021.3139035

Interpretable signed link prediction with signed infomax hyperbolic graph

2021

Journal Article

Preface

Chen, Chang-Wen, Huang, Helen, Zhou, Jun, Harada, Tatsuya, Cai, Jianfei, Liu, Wu and Xu, Dong (2021). Preface. ACM International Conference Proceeding Series.

Preface

2021

Journal Article

Collaborative learning for extremely low bit asymmetric hashing

Luo, Yadan, Huang, Zi, Li, Yang, Shen, Fumin, Yang, Yang and Cui, Peng (2021). Collaborative learning for extremely low bit asymmetric hashing. IEEE Transactions on Knowledge and Data Engineering, 33 (12), 3675-3685. doi: 10.1109/tkde.2020.2977633

Collaborative learning for extremely low bit asymmetric hashing

2021

Journal Article

Quaternion factorization machines: a lightweight solution to intricate feature interaction modeling

Chen, Tong, Yin, Hongzhi, Zhang, Xiangliang, Huang, Zi, Wang, Yang and Wang, Meng (2021). Quaternion factorization machines: a lightweight solution to intricate feature interaction modeling. IEEE Transactions on Neural Networks and Learning Systems, PP (99), 1-14. doi: 10.1109/TNNLS.2021.3118706

Quaternion factorization machines: a lightweight solution to intricate feature interaction modeling

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

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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