| 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 | 426 | 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 | 298 | 2012 |
| Topic Modelling Meets Deep Neural Networks: A Survey H Zhao, D Phung, V Huynh, Y Jin, L Du, W Buntine IJCAI 2021, 2021 | 149 | 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 | 134 | 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 | 112 | 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 | 105 | 2010 |
| Sequential latent Dirichlet allocation L Du, W Buntine, H Jin, C Chen Knowledge and information systems 31, 475-503, 2012 | 79 | 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 | 61 | 2020 |
| Data Preparation ZS Abdallah, L Du, GI Webb Encyclopedia of Machine Learning and Data Mining, 1-11, 2016 | 56 | 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 | 54 | 2017 |
| Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document L Du, W Buntine, H Jin, C Chen ICDM 2010, 2010 | 54 | 2010 |
| 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 | 52 | 2022 |
| 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 | 51 | 2011 |
| 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 | 45 | 2016 |
| A Word Embeddings Informed Focused Topic Model H Zhao, L Du, W Buntine ACML: Asian Conference on Machine Learning, 423-438, 2017 | 43 | 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 | 42 | 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 | 41 | 2020 |
| 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 | 38 | 2021 |
| 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 | 37 | 2017 |
| 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 | 37 | 2015 |
Wray BuntineProfessor, VinUniversityVerified email at vinuni.edu.vn
