| 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 | 464 | 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 | 338 | 2012 |
| Topic Modelling Meets Deep Neural Networks: A Survey H Zhao, D Phung, V Huynh, Y Jin, L Du, W Buntine IJCAI 2021, 2021 | 203 | 2021 |
| 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 | 181 | 2023 |
| 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 | 150 | 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 | 127 | 2012 |
| A segmented topic model based on the two-parameter Poisson-Dirichlet process L Du, W Buntine, H Jin Machine learning 81 (1), 5-19, 2010 | 109 | 2010 |
| Sequential latent Dirichlet allocation L Du, W Buntine, H Jin, C Chen Knowledge and information systems 31, 475-503, 2012 | 86 | 2012 |
| Data Preparation ZS Abdallah, L Du, GI Webb Encyclopedia of Machine Learning and Data Mining, 1-11, 2016 | 77* | 2016 |
| 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 | 75 | 2020 |
| 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 | 74 | 2022 |
| Reciprocal teacher-student learning via forward and feedback knowledge distillation J Gou, Y Chen, B Yu, J Liu, L Du, S Wan, Z Yi IEEE transactions on multimedia 26, 7901-7916, 2024 | 71 | 2024 |
| 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 | 64 | 2017 |
| 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 | 61 | 2021 |
| Prototypes-Guided Memory Replay for Continual Learning S Ho, M Liu, L Du, L Gao, Y Xiang IEEE Transactions on Neural Networks and Learning Systems, 2023 | 60 | 2023 |
| Sampling table configurations for the hierarchical Poisson-Dirichlet process C Chen, L Du, W Buntine Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011 | 58 | 2011 |
| Sequential Latent Dirichlet Allocation: Discover Underlying Topic Structures within a Document L Du, W Buntine, H Jin, C Chen ICDM 2010, 2010 | 58 | 2010 |
| Comparison of machine learning and conventional logistic regression-based prediction models for gestational diabetes in an ethnically diverse population; the Monash GDM Machine … Y Belsti, L Moran, L Du, A Mousa, K De Silva, J Enticott, H Teede International Journal of Medical Informatics 179, 105228, 2023 | 57 | 2023 |
| Collaborative knowledge distillation via multiknowledge transfer J Gou, L Sun, B Yu, L Du, K Ramamohanarao, D Tao IEEE Transactions on Neural Networks and Learning Systems, 2022 | 57 | 2022 |
| Multi-target knowledge distillation via student self-reflection J Gou, X Xiong, B Yu, L Du, Y Zhan, D Tao International Journal of Computer Vision 131 (7), 1857-1874, 2023 | 56 | 2023 |