Projects per year
Personal profile
Biography
Dr Lan Du is a Teaching and Research Academic in the Faculty of IT, Monash Clayton Campus. He is particularly interested in statistical modeling and learning for text analysis, which broadly covers statistical machine learning, natural language processing, data mining, and social network analysis. My up-to-date information can be found here
Some specific research topics that he is interested in and currently working on:
- Probabilistic topic modeling: He is extremely interested in developing various topic models that can explore different discourse structures and other meta information associated with natural language text.
- Nonparametric Bayesian methods, e.g., Dirichlet process, Pitman-Yor process, and Indian Buffet process. He has been working on developing different sampling methods for Pitman-Yor process since his Ph.D. study.
- Inference/ optimization algorithms, e.g., MCMC methods, Variational Bayesian (VB), and various numerical optimization algorithms
- Relational learning techniques, e.g., probabilistic matrix factorization, tensor factorization, etc. He is interested in combining matrix factorization techniques with topic models to improve, for example, recommendation systems.
- Natural Language Processing. He has worked in the NLP group at Macquarie University for about four years. He is interested in how to utilize different linguistic features in topic modeling.
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
Award Date: 13 Dec 2012
Information Technology, Bachelor of Information Technology (Honours), Australian National University
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
- text analysis
- topic modeling
- discrete data analysis
- Non Parametric Methods
- Ranking method
Network
Recent external collaboration on country level. Dive into details by clicking on the dots or
Projects
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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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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., Snelling, T. L., Keech, W., Geelhood, G. & Wilson, A.
1/02/21 → 30/06/22
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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Machine learning to support the civil construction industry to create a safer future for employees - Platformers - Human-in-the-Loop Analytics GRIP
Alfredo, R., Du, L., Zhou, P., Van Enk, M. & Pearson, R.
5/12/19 → 5/12/22
Project: Research
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Identification of Point of Sale Insights by Mining Social Media
Li, M., Chang, X., Du, L., Hammer, S. & Pearson, R.
1/07/19 → 30/06/22
Project: Research
Research output
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Class mean-weighted discriminative collaborative representation for classification
Gou, J., Song, J., Du, L., Zeng, S., Zhan, Y. & Yi, Z., 11 Mar 2021, (Accepted/In press) In: International Journal of Intelligent Systems. 30 p.Research output: Contribution to journal › Article › Research › peer-review
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Variational auto-encoder based Bayesian Poisson tensor factorization for sparse and imbalanced count data
Jin, Y., Liu, M., Li, Y., Xu, R., Du, L., Gao, L. & Xiang, Y., 2021, In: Data Mining and Knowledge Discovery. 35, p. 505-532 28 p.Research output: Contribution to journal › Article › Research › peer-review
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Collaborative representation-based locality preserving projections for image classification
Gou, J., Yang, Y., Liu, Y., Yuan, Y., Du, L. & Yang, H., 2020, In: The Journal of Engineering. 2020, 13, p. 310-315 6 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
Double competitive constraints-based collaborative representation for pattern classification
Gou, J., Wu, H., Song, H., Du, L., Ou, W., Zeng, S. & Ke, J., Jun 2020, In: Computers and Electrical Engineering. 84, 16 p., 106632.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus) -
Multi-label Few/Zero-shot learning with knowledge aggregated from multiple label graphs
Lu, J., Du, L., Dipnall, J. & Liu, M., 2020, 2020 Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference. Cohn, T., He, Y. & Liu, Y. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 2935-2943 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open AccessFile