Projects per year
Personal profile
Biography
Dr Lan Du is a senior lecturer in Data Science and AI in the Faculty of IT, Monash University. His research interest lies in the joint area of machine/deep learning and natural language processing and their applications in different domains, such as public health, where he and his research team are developing cutting-edge NLP technologies for AI-enabled medical NLP. He is best known for his research work on learning and understanding the semantics of the free language texts as an Australian leading researcher in topic modelling.
Some specific research topics that he is interested in and currently working on:
- Topic modeling: He is interested in developing various topic models (either probablistic or deep learning based) that can explore different discourse structures and other meta information associated with natural language text.
- Active Learning: Active Learning is an approach to speeding up learning by judiciously selecting data to be annotated. His group has been working on developing effective and efficient acquisition functions that stay in the core of active learning.
- Uncertainty Estimation: Uncertainty estimation is essential to make ML/DL trustworthy in real-world applications, particulalry the stafy-critical applications (e.g., AI-aided diagnosis). He is inerested in equiping ML/DL models with capability of estimating uncertainty in their predictions.
- Applications in Public Health: He has been working closely with Medical experts on developing and deploying cutting-edge ML/DL technologies for AI enabled public health.
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
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
Network
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Harnessing Business Insights from Unstructured Customer Data
Ludwig, S., Danaher, P., Du, L. & Lin, Y.
3/02/23 → 2/02/26
Project: Research
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Innovative methodologies in AI-powered risk prediction and risk communication in pregnancy
Lim, S., McIntosh, J., Enticott, J., Cooray, S., Moran, L., Teede, H., Harrison, C., Thong, E., Ranakombu, K. K. D. S. & Du, L.
1/01/22 → 30/06/23
Project: Research
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Towards an Efficient Medical Surveillance System
Nguyen, D., Du, L., Buntine, W., Srikanth, V., Buttery, J., Bain, C. & Skouteris, H.
1/02/21 → 31/01/24
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., Dipnall, J., Page, R. S., Du, L., Costa, M. L. & Lyons, R. A.
National Health and Medical Research Council (NHMRC) (Australia)
1/01/21 → 31/12/24
Project: Research
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Towards a National Data Management Platform and Learning Health System
Teede, H., Kannan, A., Andrew, N., Pearce, C., Johnson, A., Enticott, J., Bonnington, P., Dobson, R., Curcin, V., McKimm, A., Wale, R., Bingham, G., Tong, E., Mason, C. W., MacBean, L., Pearce, C., Ferrigi, J., Andrew, N., Beare, R., Srikanth, V., Phung, D., Du, L., Collyer, T., Shaw, T. J., Snelling, T. L., Keech, W., Geelhood, G. & Wilson, A.
1/02/21 → 30/06/22
Project: Research
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Discriminative and Geometry-Preserving Adaptive Graph Embedding for dimensionality reduction
Gou, J., Yuan, X., Xue, Y., Du, L., Yu, J., Xia, S. & Zhang, Y., Jan 2023, In: Neural Networks. 157, p. 364-376 13 p.Research output: Contribution to journal › Article › Research › peer-review
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Hierarchical Locality-aware Deep Dictionary Learning for Classification
Gou, J., He, X., Du, L., Yu, B., Chen, W. & Yi, Z., 12 Apr 2023, (Accepted/In press) In: IEEE Transactions on Multimedia. p. 1-14 14 p.Research output: Contribution to journal › Article › Research › peer-review
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Locality-constrained weighted collaborative-competitive representation for classification
Gou, J., Xiong, X., Wu, H., Du, L., Zeng, S., Yuan, Y. & Ou, W., Feb 2023, In: International Journal of Machine Learning and Cybernetics. 14, p. 363–376 14 p.Research output: Contribution to journal › Article › Research › peer-review
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Multi-target knowledge distillation via student self-reflection
Gou, J., Xiong, X., Yu, B., Du, L., Zhan, Y. & Tao, D., 2023, (Accepted/In press) In: International Journal of Computer Vision. 18 p.Research output: Contribution to journal › Article › Research › peer-review
Open Access -
Preface to the Special Issue “Advancement of Mathematical Methods in Feature Representation Learning for Artificial Intelligence, Data Mining and Robotics”—Special Issue Book
Ou, W., Gou, J., Zeng, S. & Du, L., 13 Feb 2023, In: Mathematics. 11, 4, 4 p., 940.Research output: Contribution to journal › Editorial › Other › peer-review
Open AccessFile