Research Output 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 modelling and learning for text analysis, which broadly covers statistical machine leaning, natural language processing, data mining, and social network analysis.
Some specific research topics that he is interested in and currently working on:
- Probabilistic topic modelling: He is extremely interested in developing various topic models that can explore different discourse structures and other meta information associated with natural lanugage 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 PhD study at ANU.
- Inference/optimisation algorithms, e.g., MCMC methods, Variational Bayesian (VB), and various numerical optimisation 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 utlise different lingustic features in topic modelling.
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
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2010 2018
Leveraging external information in topic modelling
Zhao, H., Du, L., Buntine, W. & Liu, G. 12 May 2018 (Accepted/In press) In : Knowledge and Information Systems. p. 1-33 33 p.Research output: Contribution to journal › Article
Two-phase linear reconstruction measure-based classification for face recognition
Gou, J., Xu, Y., Zhang, D., Mao, Q., Du, L. & Zhan, Y. 1 Apr 2018 In : Information Sciences. 433-434, p. 17-36 20 p.Research output: Contribution to journal › Article
Semantic-aware query processing for activity trajectories
Liu, H., Xu, J., Zheng, K., Liu, C., Du, L. & Wu, X. 2 Feb 2017 WSDM 2017 - Proceedings of the 10th ACM International Conference on Web Search and Data Mining: February 6–10, 2017, Cambridge, United Kingdom. Tomkins, A. & Zhang, M. (eds.). New York, New York: Association for Computing Machinery (ACM), p. 283-292 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper
Data Preparation
Abdallah, Z. S., Du, L. & Webb, G. I. 2016 Encyclopedia of Machine Learning and Data Mining. Sammut, C. & Webb, G. I. (eds.). Boston, MA: Humana Press, p. 318-327 10 p.Research output: Chapter in Book/Report/Conference proceeding › Encyclopaedia / Dictionary Entry
Open Access
Discriminative sparsity preserving graph embedding
Gou, J., Du, L., Cheng, K. & Cai, Y. 14 Nov 2016 2016 IEEE Congress on Evolutionary Computation (CEC 2016): Vancouver, British Columbia, Canada, 24-29 July 2016, [Proceedings]. Piscataway, NJ : IEEE, Institute of Electrical and Electronics Engineers, p. 4250-4257 8 p. 7744330Research output: Chapter in Book/Report/Conference proceeding › Conference Paper