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
2018
Journal Article
Unsupervised deep hashing with similarity-adaptive and discrete optimization
Shen, Fumin, Xu, Yan, Liu, Li, Yang, Yang, Huang, Zi and Shen, Heng Tao (2018). Unsupervised deep hashing with similarity-adaptive and discrete optimization. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40 (12) 8247210, 1-1. doi: 10.1109/TPAMI.2018.2789887
2018
Conference Publication
Neural memory streaming recommender networks with adversarial training
Wang, Qinyong, Lian, Defu, Yin, Hongzhi, Wang, Hao, Hu, Zhiting and Huang, Zi (2018). Neural memory streaming recommender networks with adversarial training. 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2018, London, United Kingdom, 19 - 23 August 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3219819.3220004
2018
Conference Publication
Look deeper see richer: Depth-aware image paragraph captioning
Wang, Ziwei, Luo, Yadan, Li, Yang, Huang, Zi and Yin, Hongzhi (2018). Look deeper see richer: Depth-aware image paragraph captioning. 26th ACM Multimedia conference, MM 2018, Seoul, South Korea, October 22 - 26, 2018. New York, NY, Untied States: Association for Computing Machinery, Inc. doi: 10.1145/3240508.3240583
2018
Conference Publication
Joint event-partner recommendation in event-based social networks
Yin, Hongzhi, Zou, Lei, Nguyen, Quoc Viet Hung, Huang, Zi and Zhou, Xiaofang (2018). Joint event-partner recommendation in event-based social networks. 34th IEEE International Conference on Data Engineering (ICDE 2018), Paris, France, 16-19 April 2018. NEW YORK: IEEE. doi: 10.1109/ICDE.2018.00088
2018
Journal Article
Deep-sea organisms tracking using dehazing and deep learning
Lu, Huimin, Uemura, Tomoki, Wang, Dong, Zhu, Jihua, Huang, Zi and Kim, Hyoungseop (2018). Deep-sea organisms tracking using dehazing and deep learning. Mobile Networks and Applications, 25 (3), 1008-1015. doi: 10.1007/s11036-018-1117-9
2018
Conference Publication
Restricted boltzmann machine based active learning for sparse recommendation
Wang, Weiqing, Yin, Hongzhi, Huang, Zi, Sun, Xiaoshuai and Hung, Nguyen Quoc Viet (2018). Restricted boltzmann machine based active learning for sparse recommendation. 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD Australia, 21 - 24 May 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-91452-7_7
2018
Conference Publication
TSAUB: a temporal-sentiment-aware user behavior model for personalized recommendation
Wang, Qinyong, Yin, Hongzhi, Wang, Hao and Huang, Zi (2018). TSAUB: a temporal-sentiment-aware user behavior model for personalized recommendation. 29th Australasian Database Conference, ADC 2018, Gold Coast, QLD, Australia, 24-27 May 2018. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-319-92013-9_17
2018
Conference Publication
I read, I saw, I tell: texts assisted fine-grained visual classification
Li, Jingjing, Zhu, Lei, Huang, Zi, Lu, Ke and Zhao, Jidong (2018). I read, I saw, I tell: texts assisted fine-grained visual classification. 26th ACM Multimedia conference (MM 2018), Seoul, Republic of Korea, 22-26 October 2018. New York, NY, United States: Association for Computing Machinery (ACM). doi: 10.1145/3240508.3240579
2018
Conference Publication
Fast parallel path concatenation for graph extraction
Shao, Yingxia, Lei, Kai, Chen, Lei, Huang, Zi, Cui, Bin, Liu, Zhongyi, Tong, Yunhai and Xu, Jin (2018). Fast parallel path concatenation for graph extraction. 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, 16-19 April 2018. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDE.2018.00234
2018
Conference Publication
Streaming ranking based recommender systems
Wang, Weiqing, Yin, Hongzhi, Huang, Zi, Wang, Qinyong, Du, Xingzhong and Nguyen, Quoc Viet Hung (2018). Streaming ranking based recommender systems. 41st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, United States, 8-12 July 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3209978.3210016
2018
Conference Publication
Feature reconstruction by laplacian eigenmaps for efficient instance search
Ke, Bingqing, Shao, Jie, Huang, Zi and Shen, Heng Tao (2018). Feature reconstruction by laplacian eigenmaps for efficient instance search. 8th ACM International Conference on Multimedia Retrieval, ICMR 2018, Yokohama, Japan, 11-14 June 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3206025.3206032
2018
Conference Publication
Discrete deep learning for fast content-aware recommendation
Zhang, Yan, Yin, Hongzhi, Huang, Zi, Du, Xingzhong, Yang, Guowu and Lian, Defu (2018). Discrete deep learning for fast content-aware recommendation. 11th ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, United States, 5-9 February 2018. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3159652.3159688
2018
Conference Publication
Index and retrieve multimedia data: Cross-modal hashing by learning subspace relation
Liu, Luchen, Yang, Yang, Hu, Mengqiu, Xu, Xing, Shen, Fumin, Xie, Ning and Huang, Zi (2018). Index and retrieve multimedia data: Cross-modal hashing by learning subspace relation. 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD Australia, 21 - 24 May 2018. Heidelberg, Germany: Springer. doi: 10.1007/978-3-319-91458-9_37
2018
Conference Publication
Coarse-to-fine annotation enrichment for semantic segmentation learning
Luo, Yadan, Wang, Ziwei, Huang, Zi, Yang, Yang and Zhao, Cong (2018). Coarse-to-fine annotation enrichment for semantic segmentation learning. 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, 22-26 October 2018. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3269206.3271672
2018
Conference Publication
Discrete binary hashing towards efficient fashion recommendation
Liu, Luyao, Du, Xingzhong, Zhu, Lei, Shen, Fumin and Huang, Zi (2018). Discrete binary hashing towards efficient fashion recommendation. 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018, Gold Coast, QLD Australia, 21 - 24 May 2018. Germany: Springer. doi: 10.1007/978-3-319-91452-7_8
2018
Conference Publication
Modal-adversarial semantic learning network for extendable cross-modal retrieval
Xu, Xing, Song, Jingkuan, Lu, Huimin, Yang, Yang, Shen, Fumin and Huang, Zi (2018). Modal-adversarial semantic learning network for extendable cross-modal retrieval. 8th ACM International Conference on Multimedia Retrieval, ICMR 2018, Yokohama, Japan, 11-14 June 2018. New York, NY, United States: Association for Computing Machinery, Inc. doi: 10.1145/3206025.3206033
2017
Journal Article
Exploiting detected visual objects for frame-level video filtering
Du, Xingzhong, Yin, Hongzhi, Huang, Zi, Yang, Yi and Zhou, Xiaofang (2017). Exploiting detected visual objects for frame-level video filtering. World Wide Web, 21 (5), 1-26. doi: 10.1007/s11280-017-0505-6
2017
Journal Article
Guest Editorial: Knowledge-Based Multimedia Computing
Li, Liang, Huang, Zi, Zha, Zheng-Jun and Jiang, Shuqiang (2017). Guest Editorial: Knowledge-Based Multimedia Computing. Multimedia Tools and Applications, 76 (23), 24955-24959. doi: 10.1007/s11042-017-5212-x
2017
Journal Article
Bilinear optimized product quantization for scalable visual content analysis
Yu, Litao, Huang, Zi, Shen, Fumin, Song, Jingkuan, Shen, Heng Tao and Zhou, Xiaofang (2017). Bilinear optimized product quantization for scalable visual content analysis. IEEE Transactions On Image Processing, 26 (10) 7964737, 5057-5069. doi: 10.1109/TIP.2017.2722224
2017
Journal Article
Discrete nonnegative spectral clustering
Yang, Yang, Shen, Fumin, Huang, Zi, Shen, Heng Tao and Li, Xuelong (2017). Discrete nonnegative spectral clustering. IEEE Transactions On Knowledge and Data Engineering, 29 (9) 7920371, 1834-1845. doi: 10.1109/TKDE.2017.2701825
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
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
Remote Sensing Analysis in computer vision
Principal Advisor
Other advisors: Dr Xin Yu
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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
Data driven approaches for smart farming
Principal Advisor
Other advisors: Honorary Professor Zhi-Gang Chen, Dr Xin Yu
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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: Dr Mahsa Baktashmotlagh, 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
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
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
Maximizing Object Detection Dataset Efficiency through the Power of Active Learning
Associate Advisor
Other advisors: Dr Yadan Luo
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Doctor Philosophy
Open-domain Dialogue Generation
Associate Advisor
Other advisors: Professor Xue Li
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Doctor Philosophy
Multimodal Sensing System for 3D Vision
Associate Advisor
Other advisors: Dr Yadan Luo
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: Dr 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: Dr 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
Decentralized Framework for Embedding Large-scale Networks
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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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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