![Professor Helen Huang](/sites/default/files/profiles/1230.jpeg)
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
2021
Conference Publication
Learning Transferrable and Interpretable Representations for Domain Generalization
Du, Zhekai, Li, Jingjing, Lu, Ke, Zhu, Lei and Huang, Zi (2021). Learning Transferrable and Interpretable Representations for Domain Generalization. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3474085.3475488
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
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
2021
Conference Publication
Local graph convolutional networks for cross-modal hashing
Chen, Yudong, Wang, Sen, Lu, Jianglin, Chen, Zhi, Zhang, Zheng and Huang, Zi (2021). Local graph convolutional networks for cross-modal hashing. ACM International Conference on Multimedia, Chengdu, China (Virtual), 20-24 October 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3474085.3475346
2021
Conference Publication
Imbalanced Source-free Domain Adaptation
Li, Xinhao, Li, Jingjing, Zhu, Lei, Wang, Guoqing and Huang, Zi (2021). Imbalanced Source-free Domain Adaptation. MM '21: ACM Multimedia Conference, Online, 20 - 24 October 2021. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3474085.3475487
2021
Journal Article
Exploiting subspace relation in semantic labels for cross-modal hashing
Shen, Heng Tao, Liu, Luchen, Yang, Yang, Xu, Xing, Huang, Zi, Shen, Fumin and Hong, Richang (2021). Exploiting subspace relation in semantic labels for cross-modal hashing. IEEE Transactions on Knowledge and Data Engineering, 33 (10), 3351-3365. doi: 10.1109/TKDE.2020.2970050
2021
Conference Publication
Learning elastic embeddings for customizing on-device recommenders
Chen, Tong, Yin, Hongzhi, Zheng, Yujia, Huang, Zi, Wang, Yang and Wang, Meng (2021). Learning elastic embeddings for customizing on-device recommenders. 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, Virtual (Singapore), 14-18 August 2021. New York, NY, United States: ACM. doi: 10.1145/3447548.3467220
2021
Conference Publication
Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation
Li, Yang, Chen, Tong, Luo, Yadan, Yin, Hongzhi and Huang, Zi (2021). Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Montreal, QC Canada, 19 - 27 August 2021. Palo Alto, CA United States: A A A I Press. doi: 10.24963/ijcai.2021/206
2021
Journal Article
Attribute-aware explainable complementary clothing recommendation
Li, Yang, Chen, Tong and Huang, Zi (2021). Attribute-aware explainable complementary clothing recommendation. World Wide Web, 24 (5), 1885-1901. doi: 10.1007/s11280-021-00913-3
2021
Conference Publication
Learning to ask appropriate questions in conversational recommendation
Ren, Xuhui, Yin, Hongzhi, Chen, Tong, Wang, Hao, Huang, Zi and Zheng, Kai (2021). Learning to ask appropriate questions in conversational recommendation. SIGIR '21: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, 11-15 July 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3404835.3462839
2021
Conference Publication
Privacy protection in deep multi-modal retrieval
Zhang, Peng-Fei, Li, Yang, Huang, Zi and Yin, Hongzhi (2021). Privacy protection in deep multi-modal retrieval. 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual, 11-15 July 2021. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3404835.3462837
2021
Journal Article
Suicidal ideation and mental disorder detection with attentive relation networks
Ji, Shaoxiong, Li, Xue, Huang, Zi and Cambria, Erik (2021). Suicidal ideation and mental disorder detection with attentive relation networks. Neural Computing and Applications, 34 (13), 10309-10319. doi: 10.1007/s00521-021-06208-y
2021
Conference Publication
Graph embedding for recommendation against attribute inference attacks
Zhang, Shijie, Yin, Hongzhi, Chen, Tong, Huang, Zi, Cui, Lizhen and Zhang, Xiangliang (2021). Graph embedding for recommendation against attribute inference attacks. WWW '21: Proceedings of the Web Conference 2021, Ljubljana, Slovenia, 19-22 April 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3442381.3449813
2021
Conference Publication
DDHH: A decentralized deep learning framework for large-scale heterogeneous networks
Imran, Mubashir, Yin, Hongzhi, Chen, Tong, Huang, Zi, Zhang, Xiangliang and Zheng, Kai (2021). DDHH: A decentralized deep learning framework for large-scale heterogeneous networks. 2021 IEEE 37th International Conference on Data Engineering (ICDE), Chania, Greece, 19-22 April 2021. Washington, DC USA: IEEE Computer Society. doi: 10.1109/ICDE51399.2021.00196
2021
Journal Article
High-order nonlocal Hashing for unsupervised cross-modal retrieval
Zhang, Peng-Fei, Luo, Yadan, Huang, Zi, Xu, Xin-Shun and Song, Jingkuan (2021). High-order nonlocal Hashing for unsupervised cross-modal retrieval. World Wide Web, 24 (2), 563-583. doi: 10.1007/s11280-020-00859-y
2021
Conference Publication
Modeling Daily Crime Events Prediction Using Seq2Seq Architecture
Alghamdi, Jawaher and Huang, Zi (2021). Modeling Daily Crime Events Prediction Using Seq2Seq Architecture. 32nd Australasian Database Conference (ADC) Held as Part of Australasian Computer Science Week (ACSW), Online, 29 January - 5 February 2021. Heidelberg, Germany: Springer. doi: 10.1007/978-3-030-69377-0_16
2021
Journal Article
Aggregation-based graph convolutional hashing for unsupervised cross-modal retrieval
Zhang, Peng-Fei, Li, Yang, Huang, Zi and Xu, Xin-Shun (2021). Aggregation-based graph convolutional hashing for unsupervised cross-modal retrieval. IEEE Transactions on Multimedia, 24, 466-479. doi: 10.1109/TMM.2021.3053766
2021
Conference Publication
Learning to diversify for single domain generalization
Wang, Zijian, Luo, Yadan, Qiu, Ruihong, Huang, Zi and Baktashmotlagh, Mahsa (2021). Learning to diversify for single domain generalization. 2021 IEEE/CVF International Conference on Computer Vision (ICCV), Montreal, QC Canada, 10-17 October 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCV48922.2021.00087
2021
Journal Article
Uniting heterogeneity, inductiveness, and efficiency for graph representation learning
Chen, Tong, Yin, Hongzhi, Ren, Jie, Huang, Zi, Zhang, Xiangliang and Wang, Hao (2021). Uniting heterogeneity, inductiveness, and efficiency for graph representation learning. IEEE Transactions on Knowledge and Data Engineering, PP (99), 1-1. doi: 10.1109/TKDE.2021.3100529
2021
Journal Article
On both cold-start and long-tail recommendation with social data
Li, Jingjing, Lu, Ke, Huang, Zi and Shen, Heng Tao (2021). On both cold-start and long-tail recommendation with social data. IEEE Transactions on Knowledge and Data Engineering, 33 (1) 8745499, 194-208. doi: 10.1109/TKDE.2019.2924656
Funding
Current funding
Past funding
Supervision
Availability
- Professor Helen Huang is:
- Available for supervision
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Supervision history
Current supervision
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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
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
Multimodal Sensing System for 3D Vision
Associate Advisor
Other advisors: Dr Yadan Luo
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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
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
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: Dr 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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