Helen Huang

Helen Huang is a Professor and the Discipline Leader for Data Science in the School of EECS at 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 EECS, The University of Queensland in 2001 and 2007 respectively. Helen's research interests mainly include multimedia indexing and search, computer vision, recommender systems, social data analysis and knowledge discovery. She has published 200+ papers in prestigious venues, and has served as an Associate Editor for The VLDB Journal, ACM Computing Surveys, ACM Transactions on Information Systems (TOIS), IEEE Transactions on Multimedia (TMM), Pattern Recognition Journal, etc and also a member of the VLDB Endowment Board of Trustees. Helen has been elevated to IEEE Fellow for her contributions to multi-modal data management and ACM Fellow for contributions to large-scale multimedia content understanding, indexing and retrieval. Helen 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. Multimedia Computing: Visual content (image and videos) understanding and analysis; Multimedia indexing and retrieval; Visual question answering. Machine Learning: Few-shot/Zero-shot Learning; Domain adaptation/Generalisation; Adversarial learning; Graph learning; Test-time Adaptation; Model Efficiency. Computer Vision: 3D Vision; Autonomous Driving; Embodied AI. Responsible Information Systems: Privacy-aware information retrieval; cross-modal retrieval; Heterogeneous data fusion; Knowledge distillation. Social Media Analytics: Event detection and monitoring; User behaviour modelling and prediction; Social interactions analysis; Web data mining; Recommender systems. Big Database Management: Data quality; Data linkage and fusion; Indexing structures; Query processing; Dimensionality reduction; Spatio-temporal Data management.

[2026] Data-Centric Challenges, Techniques, and Impacts: A Survey on Image Data Perturbation. Zhang, Peng-Fei, Bai, Guangdong, Xu, Xin-Shun and Huang, Zi (2026). IEEE Transactions on Knowledge and Data Engineering, 38 (9), 5736-5764. doi: 10.1109/tkde.2026.3709786 [2026] Unveiling AI-Driven Web Applications: Insights into Characteristics, Functionality, and Compliance. Wan, Liuhuo, Liu, Zicong, Yan, Chuan, Wan, Liujia, Dong, Naipeng, Huang, Zi and Bai, Guangdong (2026). Proceedings of the ACM on Software Engineering, 3 (FSE), 3651-3674. doi: 10.1145/3808168 [2026] Cassette: Case-to-Case Structural Distillation for Efficient Legal Case Retrieval. Tang, Yanran, Qiu, Ruihong, Yin, Hongzhi, Li, Xue and Huang, Zi (2026). ACM Transactions on Information Systems, 44 (5) 3816732, 1-27. doi: 10.114