![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
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
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
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
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
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
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
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
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
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.
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
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
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
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.
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
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
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.
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
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
Conference Publication
Joint-teaching: learning to refine knowledge for resource-constrained unsupervised cross-modal retrieval
Zhang, Peng-Fei, Duan, Jiasheng, Huang, Zi and Yin, Hongzhi (2021). Joint-teaching: learning to refine knowledge for resource-constrained unsupervised cross-modal retrieval. MM '21: ACM Multimedia Conference, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475286
2021
Conference Publication
Domain adaptive semantic segmentation without source data
You, Fuming, Li, Jingjing, Zhu, Lei, Chen, Zhi and Huang, Zi (2021). Domain adaptive semantic segmentation without source data. MM '21: Proceedings of the 29th ACM International Conference on Multimedia, Virtual, 20-24 October 2021. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3474085.3475482
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
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
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
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
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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
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
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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