
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
Conference Publication
Find n’ Propagate: Open-Vocabulary 3D Object Detection in Urban Environments
Etchegaray, Djamahl, Huang, Zi, Harada, Tatsuya and Luo, Yadan (2024). Find n’ Propagate: Open-Vocabulary 3D Object Detection in Urban Environments. 18th European Conference on Computer Vision ECCV 2024, Milan, Italy, 29 September – 4 October 2024. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-73661-2_8
2024
Journal Article
Focusing on relevant responses for multi-modal rumor detection
Li, Jun, Bin, Yi, Peng, Liang, Yang, Yang, Li, Yangyang, Jin, Hao and Huang, Zi (2024). Focusing on relevant responses for multi-modal rumor detection. IEEE Transactions on Knowledge and Data Engineering, 36 (11), 6225-6236. doi: 10.1109/tkde.2024.3389694
2024
Book Chapter
OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection
Zhang, Hu, Xu, Jianhua, Tang, Tao, Sun, Haiyang, Yu, Xin, Huang, Zi and Yu, Kaicheng (2024). OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection. Lecture Notes in Computer Science. (pp. 1-19) Cham: Springer Nature Switzerland. doi: 10.1007/978-3-031-72907-2_1
2024
Journal Article
Prediction of perovskite oxygen vacancies for oxygen electrocatalysis at different temperatures
Li, Zhiheng, Mao, Xin, Feng, Desheng, Li, Mengran, Xu, Xiaoyong, Luo, Yadan, Zhuang, Linzhou, Lin, Rijia, Zhu, Tianjiu, Liang, Fengli, Huang, Zi, Liu, Dong, Yan, Zifeng, Du, Aijun, Shao, Zongping and Zhu, Zhonghua (2024). Prediction of perovskite oxygen vacancies for oxygen electrocatalysis at different temperatures. Nature Communications, 15 (1) 9318, 1-12. doi: 10.1038/s41467-024-53578-7
2024
Conference Publication
DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection
Chen, Zhuoxiao, Wang, Zixin, Luo, Yadan, Wang, Sen and Huang, Zi (2024). DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection. New York, NY, USA: ACM. doi: 10.1145/3664647.3681040
2024
Conference Publication
Navigating Adversarial Robustness in Multimodal Systems
Huang, Zi Helen (2024). Navigating Adversarial Robustness in Multimodal Systems. 2nd International Workshop on Methodologies for Multimedia (Meet4MM), Melbourne Australia, Oct 28-Nov 01, 2024. New York, NY, USA: ACM. doi: 10.1145/3689089.3689708
2024
Conference Publication
Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed Environments
Hong, Haodong, Wang, Sen, Huang, Zi, Wu, Qi and Liu, Jiajun (2024). Navigating Beyond Instructions: Vision-and-Language Navigation in Obstructed Environments. New York, NY, USA: ACM. doi: 10.1145/3664647.3681640
2024
Conference Publication
Generative AI in Multimedia: Challenges and Opportunities for Academic and Industrial Impact
Huang, Zi Helen, Chen, Phoebe and Yan, Shuicheng (2024). Generative AI in Multimedia: Challenges and Opportunities for Academic and Industrial Impact. New York, NY, USA: ACM. doi: 10.1145/3664647.3687170
2024
Conference Publication
Benchmarking In-the-Wild Multimodal Disease Recognition and A Versatile Baseline
Wei, Tianqi, Chen, Zhi, Huang, Zi and Yu, Xin (2024). Benchmarking In-the-Wild Multimodal Disease Recognition and A Versatile Baseline. New York, NY, USA: ACM. doi: 10.1145/3664647.3680599
2024
Conference Publication
Physics-guided Active Sample Reweighting for Urban Flow Prediction
Jiang, Wei, Chen, Tong, Ye, Guanhua, Zhang, Wentao, Cui, Lizhen, Huang, Zi and Yin, Hongzhi (2024). Physics-guided Active Sample Reweighting for Urban Flow Prediction. New York, NY, USA: ACM. doi: 10.1145/3627673.3679738
2024
Journal Article
In Search of Lost Online Test-Time Adaptation: A Survey
Wang, Zixin, Luo, Yadan, Zheng, Liang, Chen, Zhuoxiao, Wang, Sen and Huang, Zi (2024). In Search of Lost Online Test-Time Adaptation: A Survey. International Journal of Computer Vision, 1-34. doi: 10.1007/s11263-024-02213-5
2024
Journal Article
A data-driven method for estimating sewer inflow and infiltration based on temperature and conductivity monitoring
Ge, Jingyu, Li, Jiuling, Qiu, Ruihong, Shi, Tao, Zhang, Chenming, Huang, Zi and Yuan, Zhiguo (2024). A data-driven method for estimating sewer inflow and infiltration based on temperature and conductivity monitoring. Water Research, 261 122002, 1-10. doi: 10.1016/j.watres.2024.122002
2024
Journal Article
Explicit knowledge graph reasoning for conversational recommendation
Ren, Xuhui, Chen, Tong, Nguyen, Quoc Viet Hung, Cui, Lizhen, Huang, Zi and Yin, Hongzhi (2024). Explicit knowledge graph reasoning for conversational recommendation. ACM Transactions on Intelligent Systems and Technology, 15 (4) 86, 1-21. doi: 10.1145/3637216
2024
Conference Publication
CaseLink: inductive graph learning for legal case retrieval
Tang, Yanran, Qiu, Ruihong, Yin, Hongzhi, Li, Xue and Huang, Zi (2024). CaseLink: inductive graph learning for legal case retrieval. 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657693
2024
Conference Publication
Universal adversarial perturbations for vision-language pre-trained models
Zhang, Peng-Fei, Huang, Zi and Bai, Guangdong (2024). Universal adversarial perturbations for vision-language pre-trained models. 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657781
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
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
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
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
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
Graph Mining for Legal Case Retrieval
Principal Advisor
Other advisors: Professor Xue Li
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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
Data driven approaches for smart farming
Principal Advisor
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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
Fairness in Graph Representation Learning Models
Principal Advisor
Other advisors: Associate Professor Guangdong Bai
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Doctor Philosophy
Remote Sensing Analysis in computer vision
Principal Advisor
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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
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
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
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
Multimodal Sensing System for 3D Vision
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
Information Dissemination Prediction for Emerging Video Sharing Platforms
Associate Advisor
Other advisors: 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
Open-domain Dialogue Generation
Associate Advisor
Other advisors: Professor Xue Li
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Doctor Philosophy
Two way Auslan Translation
Associate Advisor
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Doctor Philosophy
Maximizing Object Detection Dataset Efficiency through the Power of Active Learning
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: 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
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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