Overview
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
Qualifications
- Doctor of Philosophy, The University of Queensland
Research interests
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Multimedia Search
Visual content (image and videos) understanding and analysis; Multimedia indexing and retrieval; Ranking and recommendation; Visual question answering;
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Social Media Analytics
Event detection and monitoring; User behaviour modelling and prediction; Social interactions analysis; Web data mining
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Machine Learning
Few-shot Learning; Zero-shot Learning; Domain adaptation; Adversarial learning; Graph learning
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Information systems
Privacy-aware information retrieval; cross-modal retrieval; Heterogeneous data fusion; Knowledge distillation
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Big Database Management
Data quality; Data linkage and fusion; Indexing structures; Query processing; Dimensionality reduction; spatio-temporal data management
Works
Search Professor Helen Huang’s works on UQ eSpace
2024
Journal Article
Editorial on the Special Issue of the World Wide Web journal with selected papers from the 22nd International Conference on Web Information Systems Engineering (WISE)
Chbeir, Richard, Huang, Helen, Manolopoulos, Yannis and Silvestri, Fabrizio (2024). Editorial on the Special Issue of the World Wide Web journal with selected papers from the 22nd International Conference on Web Information Systems Engineering (WISE). World Wide Web, 27 (4) 45. doi: 10.1007/s11280-024-01284-1
2024
Conference Publication
Edge deployable online domain adaptation for underwater object detection
Etchegaray, Djamahl, Luo, Yadan, Li, Yang, Do, Brendan, Liu, Jiajun, Huang, Zi and Kusy, Branislav (2024). Edge deployable online domain adaptation for underwater object detection. 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 30 June - 5 July 2024. Piscataway, NJ, United States: IEEE. doi: 10.1109/ijcnn60899.2024.10650705
2024
Journal Article
TextAdapter: self-supervised domain adaptation for cross-domain text recognition
Liu, Xiao-Qian, Zhang, Peng-Fei, Luo, Xin, Huang, Zi and Xu, Xin-Shun (2024). TextAdapter: self-supervised domain adaptation for cross-domain text recognition. IEEE Transactions on Multimedia, 26, 9854-9865. doi: 10.1109/tmm.2024.3400669
2024
Journal Article
Effective and robust adversarial training against data and label corruptions
Zhang, Peng-Fei, Huang, Zi, Xu, Xin-Shun and Bai, Guangdong (2024). Effective and robust adversarial training against data and label corruptions. IEEE Transactions on Multimedia, 26, 9477-9488. doi: 10.1109/tmm.2024.3394677
2024
Conference Publication
Abstract and explore: a novel behavioral metric with cyclic dynamics in reinforcement learning
Zhu, Anjie, Zhang, Peng-Fei, Qiu, Ruihong, Zheng, Zetao, Huang, Zi and Shao, Jie (2024). Abstract and explore: a novel behavioral metric with cyclic dynamics in reinforcement learning. 38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational Advances in Artificial Intelligence, Vancouver, Canada, 20-27 February 2024. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v38i15.29660
2024
Journal Article
AI empowered Auslan learning for parents of deaf children and children of deaf adults
Sheng, Hongwei, Shen, Xin, Du, Heming, Zhang, Hu, Huang, Zi and Yu, Xin (2024). AI empowered Auslan learning for parents of deaf children and children of deaf adults. AI and Ethics, 4 (4), 1-11. doi: 10.1007/s43681-024-00457-y
2024
Journal Article
Filter-based stance network for rumor verification
Li, Jun, Bin, Yi, Ma, Yunshan, Yang, Yang, Huang, Zi and Chua, Tat-Seng (2024). Filter-based stance network for rumor verification. ACM Transactions on Information Systems, 42 (4) ART108. doi: 10.1145/3649462
2024
Journal Article
Self-supervised learning for recommender systems: a survey
Yu, Junliang, Yin, Hongzhi, Xia, Xin, Chen, Tong, Li, Jundong and Huang, Zi (2024). Self-supervised learning for recommender systems: a survey. IEEE Transactions on Knowledge and Data Engineering, 36 (1), 335-355. doi: 10.1109/tkde.2023.3282907
2024
Conference Publication
Event-content-oriented dialogue generation in short video
Cheng, Fenghua, Li, Xue, Huang, Zi, Wang, Jinxiang and Wang, Sen (2024). Event-content-oriented dialogue generation in short video. 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Mexico City, Mexico, 16-21 June 2024. Kerrville, TX, United States: Association for Computational Linguistics (ACL). doi: 10.18653/v1/2024.naacl-long.229
2024
Journal Article
BAVS: Bootstrapping Audio-Visual Segmentation by Integrating Foundation Knowledge
Liu, Chen, Li, Peike, Zhang, Hu, Li, Lincheng, Huang, Zi, Wang, Dadong and Yu, Xin (2024). BAVS: Bootstrapping Audio-Visual Segmentation by Integrating Foundation Knowledge. IEEE Transactions on Multimedia, 26, 10015-10028. doi: 10.1109/tmm.2024.3405622
2024
Conference Publication
CaseGNN: graph neural networks for legal case retrieval with text-attributed graphs
Tang, Yanran, Qiu, Ruihong, Liu, Yilun, Li, Xue and Huang, Zi (2024). CaseGNN: graph neural networks for legal case retrieval with text-attributed graphs. 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, United Kingdom, 24 - 28 March 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-56060-6_6
2023
Journal Article
Calligraphy Font generation via explicitly modeling location-aware glyph component deformations
Zhao, Minda, Qi, Xingqun, Hu, Zhipeng, Li, Lincheng, Zhang, Yongqiang, Huang, Zi and Yu, Xin (2023). Calligraphy Font generation via explicitly modeling location-aware glyph component deformations. IEEE Transactions on Multimedia, 26, 5939-5950. doi: 10.1109/tmm.2023.3342690
2023
Conference Publication
Multi-head Siamese prototype learning against both data and label corruption
Zhang, Peng-Fei and Huang, Zi Helen (2023). Multi-head Siamese prototype learning against both data and label corruption. MMAsia '23: 5th ACM International Conference on Multimedia in Asia, Tainan, Taiwan, 6-8 December 2023. New York, NY, United States: ACM. doi: 10.1145/3595916.3626435
2023
Conference Publication
Learning efficient unsupervised satellite image-based building damage detection
Zhang, Yiyun, Wang, Zijian, Luo, Yadan, Yu, Xin and Huang, Zi (2023). Learning efficient unsupervised satellite image-based building damage detection. 2023 IEEE International Conference on Data Mining (ICDM), Shanghai, China, 1-4 December 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/icdm58522.2023.00206
2023
Conference Publication
CaT: balanced continual graph learning with graph condensation
Liu, Yilun, Qiu, Ruihong and Huang, Zi (2023). CaT: balanced continual graph learning with graph condensation. 23rd IEEE International Conference on Data Mining (IEEE ICDM), Shanghai, China, 1-4 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm58522.2023.00141
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
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
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
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
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
Funding
Current funding
Supervision
Availability
- Professor Helen Huang is:
- Available for supervision
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Supervision history
Current supervision
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Doctor Philosophy
efficiency oriented multimedia system
Principal Advisor
Other advisors: Dr Ruihong Qiu
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Doctor Philosophy
Fairness in Graph Representation Learning Models
Principal Advisor
Other advisors: Associate Professor Guangdong Bai
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Doctor Philosophy
Active Learning for Multi-modal 3D Perception
Principal Advisor
Other advisors: Dr Yadan Luo
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Doctor Philosophy
Remote Sensing Analysis in computer vision
Principal Advisor
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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
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Doctor Philosophy
Multimodal Representation Learning for Responsive Video-sharing Services
Principal Advisor
Other advisors: Dr Yadan Luo
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Doctor Philosophy
Towards Privacy-Preserving and Fairness-Aware Federated Recommendation Systems
Principal Advisor
Other advisors: Dr Ruihong Qiu, Associate Professor Guangdong Bai
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Doctor Philosophy
Data driven approaches for smart farming
Principal Advisor
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Doctor Philosophy
Towards Reliable and Efficient Vegetation Segmentation for multi-modality Australian Wheat Data Analysis
Principal Advisor
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Doctor Philosophy
Graph Mining for Legal Case Retrieval
Principal Advisor
Other advisors: Professor Xue Li
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Doctor Philosophy
Unsupervised Domain Adaptation on 3D Object Detection and Segmentation
Associate Advisor
Other advisors: Associate Professor Mahsa Baktashmotlagh, Dr Yadan Luo
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Doctor Philosophy
Maximizing Object Detection Dataset Efficiency through the Power of Active Learning
Associate Advisor
Other advisors: Dr Yadan Luo
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Doctor Philosophy
Multimodal Sensing System for 3D Vision
Associate Advisor
Other advisors: Dr Yadan Luo
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Doctor Philosophy
Two way Auslan Translation
Associate Advisor
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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
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Doctor Philosophy
Towards Practical Adaptation to Domain Shift in Deep Vision Learning
Associate Advisor
Other advisors: Dr Yadan Luo, Associate Professor Sen Wang
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Doctor Philosophy
Towards Explainable Multi-source Multivariate Time-series Analysis
Associate Advisor
Other advisors: Associate Professor Sen Wang, Dr Yadan Luo
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Doctor Philosophy
Towards Open-vocabulary 3D Object Detection
Associate Advisor
Other advisors: Dr Yadan Luo
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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
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Doctor Philosophy
Information Dissemination Prediction for Emerging Video Sharing Platforms
Associate Advisor
Other advisors: Dr Yadan Luo
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Doctor Philosophy
Data-Centric Advancements in Neural Radiance Fields for 3D Reconstruction
Associate Advisor
Other advisors: Dr Yadan Luo
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Doctor Philosophy
Open-domain Dialogue Generation
Associate Advisor
Other advisors: Professor Xue Li
Completed supervision
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2023
Doctor Philosophy
On improving vision model transferability to address domain shift in an open world
Principal Advisor
Other advisors: Associate Professor Mahsa Baktashmotlagh
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2023
Doctor Philosophy
Multi-modal Data Modeling with Awareness of Efficiency, Reliability, and Privacy
Principal Advisor
Other advisors: Professor Hongzhi Yin
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2023
Doctor Philosophy
Generalising to the Unseen - Zero-Shot Learning via Generative Modelling for Visual Recognition
Principal Advisor
Other advisors: Associate Professor Sen Wang
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2022
Doctor Philosophy
Neural Attentive Recommender Systems
Principal Advisor
Other advisors: Professor Hongzhi Yin, Dr Rocky Chen
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2022
Master Philosophy
An exploration into the correlation between users' intentions and candidates for query- and non-query-based retrieval
Principal Advisor
Other advisors: Professor Hongzhi Yin
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2021
Doctor Philosophy
Visual Learning from Imperfect Data via Inductive Bias Modelling
Principal Advisor
Other advisors: Associate Professor Mahsa Baktashmotlagh
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2021
Doctor Philosophy
Towards Efficient Similarity Search with Semantic Hashing Techniques
Principal Advisor
Other advisors: Professor Hongzhi Yin
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2021
Doctor Philosophy
Multimedia Content Analytics with Modality Transition
Principal Advisor
Other advisors: Professor Hongzhi Yin
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2018
Doctor Philosophy
Understand Video Event by Exploiting Semantic and Temporal Information for Classification and Retrieval
Principal Advisor
Other advisors: Professor Hongzhi Yin
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2018
Doctor Philosophy
Large-scale Content Management and Retrieval for Social Media
Principal Advisor
Other advisors: Professor Shazia Sadiq
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2016
Doctor Philosophy
Making Sense of Social Events by Event Monitoring, Visualization and Underlying Community Profiling
Principal Advisor
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2016
Doctor Philosophy
Multi-faceted Analytics of Social Events: Identification, Representation and Monitoring
Principal Advisor
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2015
Master Philosophy
Large Scale Material Science Data Analysis
Principal Advisor
Other advisors: Associate Professor Marcus Gallagher
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Doctor Philosophy
Modelling Sequential Patterns of User Behaviour in Recommender Systems
Principal Advisor
Other advisors: Professor Hongzhi Yin
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2023
Doctor Philosophy
Enhancing Recommender Systems wtih Self-Supervised Learning
Associate Advisor
Other advisors: Professor Hongzhi Yin
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2022
Doctor Philosophy
Toward Deep Conversational Recommender Systems
Associate Advisor
Other advisors: Professor Hongzhi Yin
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2022
Doctor Philosophy
Secure Recommender Systems
Associate Advisor
Other advisors: Professor Hongzhi Yin
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2022
Doctor Philosophy
Decentralized Framework for Embedding Large-scale Networks
Associate Advisor
Other advisors: Professor Hongzhi Yin
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2021
Doctor Philosophy
Lightweight and Secure Deep Learning-based Mobile Recommender Systems
Associate Advisor
Other advisors: Professor Hongzhi Yin
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2020
Master Philosophy
Suicidal Ideation Detection in Online Social Content
Associate Advisor
Other advisors: Professor Xue Li
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2017
Doctor Philosophy
LOCAL VISUAL PATTERN MODELLING FOR IMAGE AND VIDEO CLASSIFICATION
Associate Advisor
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2016
Doctor Philosophy
Effective multimedia event analysis in large-scale videos
Associate Advisor
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2013
Doctor Philosophy
Indexing and Mining Near-duplicates for Advanced Multimedia Applications
Associate Advisor
Media
Enquiries
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