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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.

Projects

Research Output

  • 28 Conference Paper
  • 13 Article
  • 1 Encyclopaedia / Dictionary Entry

Leveraging external information in topic modelling

Zhao, H., Du, L., Buntine, W. & Liu, G., 2019, In : Knowledge and Information Systems. 61, 2, p. 661-693 33 p.

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Leveraging meta information in short text aggregation

Zhao, H., Du, L., Liu, G. & Buntine, W., Jul 2019, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Korhonen, A., Traum, D. & Màrquez, L. (eds.). Florence Italy: Association for Computational Linguistics (ACL), p. 4042-4049 8 p. P19-1396

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Long-short distance aggregation networks for positive unlabeled graph learning

Wu, M., Tsang, I., Pan, S., Zhu, X., Du, L. & Du, B., 2019, Proceedings of the 28th ACM International Conference on Information & Knowledge Management. Cui, P., Rundensteiner, E., Carmel, D., He, Q. & Xu Yu, J. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 2157-2160 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access
File

Representation-based classification methods with enhanced linear reconstruction measures for face recognition

Gou, J., Song, J., Ou, W., Zeng, S., Yuan, Y. & Du, L., Oct 2019, In : Computers and Electrical Engineering. 79, 15 p., 106451.

Research output: Contribution to journalArticleResearchpeer-review

Bayesian Multi-label Learning with Sparse Features and Labels, and Label Co-occurrences

Zhao, H., Rai, P., Du, L. & Buntine, W., 2018, 2018 Twenty-First International Conference on Artificial Intelligence and Statistics, AISTATS 2018 : 9-11 April 2018, Lanzarote, Canary Islands, Proceedings . Storkey, A. & Perez-Cruz, F. (eds.). USA: Proceedings of Machine Learning Research (PMLR), p. 1943-1951 9 p. (Proceedings of Machine Learning Research; vol. 84).

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Open Access