Projects per year
Personal profile
Biography
Dr Lan Du is an Associate Professor in Data Science and AI in the Faculty of IT, at Monash University. He is strongly interested in cross-disciplinary research involving machine learning and artificial intelligence techniques to solve real-world problems in different disciplines. He believes that the key to unlocking the full potential of AI lies in bridging the gap between advanced AI research and its practical application. As an Australian leading researcher in text analytics, he is best known for his research on learning and understanding the semantics of free language texts. Specifically, his research interest lies in the joint area of machine/deep learning and natural language processing, which includes (but is not limited to)
- Active learning: both theories and applications
- Uncertainty Estimation for NLP and CV on either uni-modal or multimodal data
- Knowledge distillation in CV and NLP
- Multi-view/modal learning
- And their applications in cross-disciplinary areas, including public health, marketing, etc.
Monash teaching commitment
Dr Lan Du has experience as the Chief Examiner for the following units in the Faculty of IT:
- FIT5149 Applied data analysis
- FIT5196 Data wrangling
Lan Du has experience as the Lecturer for the following units in the Faculty of IT:
- FIT5149 Applied data analysis
- FIT5196 Data wrangling
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer Science, Doctor of Philosophy, Australian National University (ANU)
Award Date: 13 Dec 2012
Information Technology, Bachelor of Information Technology (Honours), Australian National University (ANU)
Award Date: 21 Dec 2007
Information Technology, Bachelor of Communication and Information Technology, Flinders University
Award Date: 15 Dec 2006
Research area keywords
- machine learning
- NLP
- topic modeling
- uncertainty estimation
- active learning
- AUC optimisation
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Harnessing Business Insights from Unstructured Customer Data
Ludwig, S. (Primary Chief Investigator (PCI)), Danaher, P. (Chief Investigator (CI)), Du, L. (Chief Investigator (CI)) & Lin, Y.-T. (Chief Investigator (CI))
6/02/23 → 5/02/26
Project: Research
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PRAISE: Predicting fracture outcomes from clinical Registry data using Artificial Intelligence Supplemented models for Evidence-informed treatment (PRAISE) study
Gabbe, B. (Primary Chief Investigator (PCI)), Dipnall, J. (Chief Investigator (CI)), Page, R. (Chief Investigator (CI)), Du, L. (Chief Investigator (CI)), Costa, M. L. (Chief Investigator (CI)) & Lyons, R. (Chief Investigator (CI))
National Health and Medical Research Council (NHMRC) (Australia)
1/01/21 → 31/12/25
Project: Research
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VicPol Consulting: Victoria Police Consulting Engagement
Project: Research
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Innovative methodologies in AI-powered risk prediction and risk communication in pregnancy
Lim, S. (Primary Chief Investigator (PCI)), McIntosh, J. (Chief Investigator (CI)), Enticott, J. (Chief Investigator (CI)), Cooray, S. (Chief Investigator (CI)), Moran, L. (Chief Investigator (CI)), Teede, H. (Chief Investigator (CI)), Harrison, C. (Chief Investigator (CI)), Thong, E. (Chief Investigator (CI)), Ranakombu, K. K. D. S. (Chief Investigator (CI)) & Du, L. (Chief Investigator (CI))
1/01/22 → 30/06/23
Project: Research
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Towards an Efficient Medical Surveillance System
Nguyen, D. (Primary Chief Investigator (PCI)), Du, L. (Supervisor), Buntine, W. (Supervisor), Srikanth, V. (Supervisor), Buttery, J. (Supervisor), Bain, C. (Project Manager) & Skouteris, H. (Project Manager)
1/02/21 → 31/01/24
Project: Research
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Exploring the acceptability of a risk prediction tool for cardiometabolic risk (gestational diabetes and hypertensive disorders of pregnancy) for use in early pregnancy: A qualitative study
Lang, S., McIntosh, J. G., Enticott, J., Goldstein, R., Baker, S., McGowan, M., Cooray, S., Du, L., Reddy, A., Harrison, C. L., Thong, E., De Silva, K., Teede, H., Moran, L. J. & Lim, S. (Leading Author), Feb 2025, In: Midwifery. 141, 9 p., 104270.Research output: Contribution to journal › Article › Research › peer-review
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Augmented Knowledge Distillation via Contrastive Learning
Xu, J., Li, L., Gou, J., Du, L. & Zhan, Y., 2024, 37th International Conference, CASA 2024 Wuhan, China, June 5–7, 2024 Revised Selected Papers, Part II. Magnenat Thalmann, N., Hu, X., Sheng, B., Thalmann, D., Peng, T., Meng, W., Huang, J., Zhu, L. & Wei, X. (eds.). Singapore Singapore: Springer, Vol. 2375. p. 1-12 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
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Bayesian estimate of mean proper scores for diversity-enhanced active learning
Tan, W., Du, L. & Buntine, W., May 2024, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 46, 5, p. 3463-3479 17 p.Research output: Contribution to journal › Article › Research › peer-review
5 Citations (Scopus) -
Collaborative knowledge distillation via multiknowledge transfer
Gou, J., Sun, L., Yu, B., Du, L., Ramamohanarao, K. & Tao, D., May 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 5, p. 6718-6730 13 p.Research output: Contribution to journal › Article › Research › peer-review
28 Citations (Scopus) -
Difference-Aware Distillation for Semantic Segmentation
Gou, J., Zhou, X., Du, L., Zhan, Y., Chen, W. & Yi, Z., 27 May 2024, In: IEEE Transactions on Multimedia. 26, p. 10069-10080 12 p.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus)