Lan Du
Lan Du
Associate Professor, Faculty of IT, Monash University
Verified email at - Homepage
Cited by
Cited by
Improving topic models with latent feature word representations
DQ Nguyen, R Billingsley, L Du, M Johnson
Transactions of the Association for Computational Linguistics 3, 299-313, 2015
A New distance-weighted k-nearest neighbor classifier
J Gou, L Du, Y Zhang, T Xiong
Journal of Information & Computational Science 9 (6), 1429–1436, 2012
Topic Modelling Meets Deep Neural Networks: A Survey
H Zhao, D Phung, V Huynh, Y Jin, L Du, W Buntine
IJCAI 2021, 2021
Topic segmentation with a structured topic model
L Du, W Buntine, M Johnson
Proceedings of the 2013 conference of the North American chapter of the …, 2013
A local mean-based k-nearest centroid neighbor classifier
J Gou, Z Yi, L Du, T Xiong
The Computer Journal 55 (9), 1058-1071, 2012
A segmented topic model based on the two-parameter Poisson-Dirichlet process
L Du, W Buntine, H Jin
Machine learning 81, 5-19, 2010
Sequential latent Dirichlet allocation
L Du, W Buntine, H Jin, C Chen
Knowledge and information systems 31, 475-503, 2012
SummPip: Unsupervised Multi-Document Summarization with Sentence Graph Compression
J Zhao, M Liu, L Gao, Y Jin, L Du, H Zhao, H Zhang, G Haffari
In Proceedings of the 43rd International ACM SIGIR Conference on Research …, 2020
Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document
L Du, W Buntine, H Jin, C Chen
ICDM 2010, 2010
Data Preparation
ZS Abdallah, L Du, GI Webb
Encyclopedia of Machine Learning and Data Mining, 1-11, 2016
MetaLDA: a Topic Model that Efficiently Incorporates Meta information
H Zhao, L Du, W Buntine, G Liu
ICDM: 2017 IEEE International Conference on Data Mining, 635-644, 2017
Sampling table configurations for the hierarchical Poisson-Dirichlet process
C Chen, L Du, W Buntine
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011
A representation coefficient-based k-nearest centroid neighbor classifier
J Gou, L Sun, L Du, H Ma, T Xiong, W Ou, Y Zhan
Expert Systems with Applications 194, 116529, 2022
Nonparametric Bayesian topic modelling with the hierarchical Pitman–Yor processes
KW Lim, W Buntine, C Chen, L Du
International Journal of Approximate Reasoning 78, 172-191, 2016
A Word Embeddings Informed Focused Topic Model
H Zhao, L Du, W Buntine
ACML: Asian Conference on Machine Learning, 423-438, 2017
Leveraging Node Attributes for Incomplete Relational Data
H Zhao, L Du, W Buntine
ICML 2017: Proceedings of the 34th International Conference on Machine …, 2017
Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs
J Lu, L Du, M Liu, J Dipnall
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
Differential topic models
C Chen, W Buntine, N Ding, L Xie, L Du
IEEE transactions on pattern analysis and machine intelligence 37 (2), 230-242, 2015
Two-phase linear reconstruction measure-based classification for face recognition
J Gou, Y Xu, D Zhang, Q Mao, L Du, Y Zhan
Information Sciences 433, 17-36, 2018
Dirichlet belief networks for topic structure learning
H Zhao, L Du, W Buntine, M Zhou
NeurIPS 2018, 2018
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