
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
2019
Conference Publication
CRA-NEt: Composed relation attention network for visual question answering
Peng, Liang, Yang, Y., Wang, Zheng, Wu, Xiao and Huang, Zi (2019). CRA-NEt: Composed relation attention network for visual question answering. 27th ACM International Conference on Multimedia (MM), Nice, France, 21-25 October 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3343031.3350925
2019
Conference Publication
Learning private neural language modeling with attentive aggregation
Ji, Shaoxiong, Pan, Shirui, Long, Guodong, Li, Xue, Jiang, Jing and Huang, Zi (2019). Learning private neural language modeling with attentive aggregation. 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, 14-19 July 2019. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/IJCNN.2019.8852464
2019
Conference Publication
A Domain Adaptation Approach for Multistream Classification
Xie, Yue, Li, Jingjing, Jing, Mengmeng, Lu, Ke and Huang, Zi (2019). A Domain Adaptation Approach for Multistream Classification. 24th International Conference on Database Systems for Advanced Applications, DASFAA 2019, Chiang Mai, Thailand, 22 - 25 April 2019. Heidelberg, Germany: Springer Verlag. doi: 10.1007/978-3-030-18590-9_42
2019
Conference Publication
Deep collaborative discrete hashing with semantic-invariant structure
Wang, Zijian, Luo, Yadan, Zhang, Zheng and Huang, Zi (2019). Deep collaborative discrete hashing with semantic-invariant structure. 42nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Paris, France, 21-25 July 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3331184.3331275
2019
Conference Publication
Cycle-consistent conditional adversarial transfer networks
Li, Jingjing, Zhu, Lei, Chen, Erpeng, Lu, Ke, Ding, Zhengming and Huang, Zi (2019). Cycle-consistent conditional adversarial transfer networks. 27th ACM International Conference on Multimedia (MM), Nice, France, 21-25 October 2019. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3343031.3350902
2019
Conference Publication
Enhancing collaborative filtering with generative augmentation
Wang, Qinyong, Nguyen, Quoc Viet Hung, Yin, Hongzhi, Huang, Zi, Wang, Hao and Cui, Lizhen (2019). Enhancing collaborative filtering with generative augmentation. 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD), Anchorage, AK United States, 4-8 August 2019. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3292500.3330873
2019
Conference Publication
Rethinking the item order in session-based recommendation with graph neural networks
Qiu, Ruihong, Li, Jingjing, Huang, Zi and Yin, Hongzhi (2019). Rethinking the item order in session-based recommendation with graph neural networks. CIKM '19 28th ACM International Conference on Information and Knowledge Management, Beijing, China, 3 - 7 November, 2019. New York, New York, USA: ACM Press. doi: 10.1145/3357384.3358010
2019
Conference Publication
SADIH: Semantic-Aware DIscrete Hashing
Zhang, Zheng, Xie, Guo-sen, Li, Yang, Li, Sheng and Huang, Zi (2019). SADIH: Semantic-Aware DIscrete Hashing. 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. doi: 10.1609/aaai.v33i01.33015853
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
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
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
2018
Journal Article
Learning Discrete Hashing Towards Efficient Fashion Recommendation
Liu, Luyao, Du, Xingzhong, Zhu, Lei, Shen, Fumin and Huang, Zi (2018). Learning Discrete Hashing Towards Efficient Fashion Recommendation. Data Science and Engineering, 3 (4), 307-322. doi: 10.1007/s41019-018-0079-z
2018
Journal Article
Exploring auxiliary context: discrete semantic transfer hashing for scalable image retrieval
Zhu, Lei, Huang, Zi, Li, Zhihui, Xie, Liang and Shen, Heng Tao (2018). Exploring auxiliary context: discrete semantic transfer hashing for scalable image retrieval. IEEE Transactions on Neural Networks and Learning Systems, 29 (11) 8291840, 5264-5276. doi: 10.1109/TNNLS.2018.2797248
2018
Journal Article
Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system
Yin, Hongzhi, Wang, Weiqing, Chen, Liang, Du, Xingzhong, Hung Nguyen, Quoc Viet and Huang, Zi (2018). Mobi-SAGE-RS: A sparse additive generative model-based mobile application recommender system. Knowledge-Based Systems, 157, 68-80. doi: 10.1016/j.knosys.2018.05.028
2018
Journal Article
Heterogeneous domain adaptation through progressive alignment
Li, Jingjing, Lu, Ke, Huang, Zi, Zhu, Lei and Shen, Heng Tao (2018). Heterogeneous domain adaptation through progressive alignment. IEEE Transactions on Neural Networks and Learning Systems, 30 (5) 8475006, 1-11. doi: 10.1109/TNNLS.2018.2868854
2018
Journal Article
Hierarchical multi-clue modelling for POI popularity prediction with heterogeneous tourist information
Yang, Yang, Duan, Yaqian, Wang, Xinze, Huang, Zi, Xie, Ning and Shen, Heng Tao (2018). Hierarchical multi-clue modelling for POI popularity prediction with heterogeneous tourist information. IEEE Transactions on Knowledge and Data Engineering, 31 (4) 8370064, 1-1. doi: 10.1109/TKDE.2018.2842190
2018
Journal Article
Transfer independently together: a generalized framework for domain adaptation
Li, Jingjing, Lu, Ke, Huang, Zi, Zhu, Lei and Shen, Heng Tao (2018). Transfer independently together: a generalized framework for domain adaptation. IEEE Transactions on Cybernetics, 49 (6) 8337102, 1-12. doi: 10.1109/TCYB.2018.2820174
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
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
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
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
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
Other advisors: 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: 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
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
Towards Efficient Similarity Search with Semantic Hashing Techniques
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
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
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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2022
Doctor Philosophy
Toward Deep Conversational 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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