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Lan Du
Lan Du
Associate Professor, Faculty of IT, Monash University
Verified email at monash.edu - Homepage
Title
Cited by
Cited by
Year
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
4332015
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
3002012
Topic Modelling Meets Deep Neural Networks: A Survey
H Zhao, D Phung, V Huynh, Y Jin, L Du, W Buntine
IJCAI 2021, 2021
1612021
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
1352013
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
1142012
A segmented topic model based on the two-parameter Poisson-Dirichlet process
L Du, W Buntine, H Jin
Machine learning 81, 5-19, 2010
1072010
Sequential latent Dirichlet allocation
L Du, W Buntine, H Jin, C Chen
Knowledge and information systems 31, 475-503, 2012
822012
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
652020
Data Preparation
ZS Abdallah, L Du, GI Webb
Encyclopedia of Machine Learning and Data Mining, 1-11, 2016
622016
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
562017
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
552022
Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document
L Du, W Buntine, H Jin, C Chen
ICDM 2010, 2010
542010
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
522011
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
452016
An overview of clustering methods with guidelines for application in mental health research
CX Gao, D Dwyer, Y Zhu, CL Smith, L Du, KM Filia, J Bayer, JM Menssink, ...
Psychiatry Research 327, 115265, 2023
442023
A Word Embeddings Informed Focused Topic Model
H Zhao, L Du, W Buntine
ACML: Asian Conference on Machine Learning, 423-438, 2017
442017
Transformer over Pre-trained Transformer for Neural Text Segmentation with Enhanced Topic Coherence
K Lo, Y Jin, W Tan, M Liu, L Du, W Buntine
In Findings of the Association for Computational Linguistics: EMNLP 2021 …, 2021
432021
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
422020
Leveraging Node Attributes for Incomplete Relational Data
H Zhao, L Du, W Buntine
ICML 2017: Proceedings of the 34th International Conference on Machine …, 2017
422017
Semantic-aware query processing for activity trajectories
H Liu, J Xu, K Zheng, C Liu, L Du, X Wu
WSDM 2017: Proceedings of the Tenth ACM International Conference on Web …, 2017
372017
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Articles 1–20