| Density-based clustering of data streams at multiple resolutions L Wan, WK Ng, XH Dang, PS Yu, K Zhang ACM Transactions on Knowledge discovery from Data (TKDD) 3 (3), 1-28, 2009 | 206 | 2009 |
| Explaining outliers by subspace separability B Micenková, RT Ng, XH Dang, I Assent IEEE ICDM, 2013 | 153 | 2013 |
| Discriminative features for identifying and interpreting outliers XH Dang, I Assent, RT Ng, A Zimek, E Schubert 2014 IEEE 30th international conference on data engineering, 88-99, 2014 | 117 | 2014 |
| Generation of alternative clusterings using the cami approach XH Dang, J Bailey Proceedings of the 2010 SIAM International Conference on Data Mining, 118-129, 2010 | 99 | 2010 |
| Local Outlier Detection with Interpretation XH Dang, B Micenková, I Assent, RT Ng European Conference on Machine Learning and Principles and Practice of …, 2013 | 87 | 2013 |
| A hierarchical information theoretic technique for the discovery of non linear alternative clusterings XH Dang, J Bailey Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010 | 63 | 2010 |
| AutoAI-TS: AutoAI for time series forecasting SY Shah, D Patel, L Vu, XH Dang, B Chen, P Kirchner, H Samulowitz, ... Proceedings of the 2021 International Conference on Management of Data, 2584 …, 2021 | 47 | 2021 |
| An EM-based algorithm for clustering data streams in sliding windows XH Dang, V Lee, WK Ng, A Ciptadi, KL Ong Database Systems for Advanced Applications: 14th International Conference …, 2009 | 47 | 2009 |
| GPOP: Scalable group-level popularity prediction for online content in social networks MX Hoang, XH Dang, X Wu, Z Yan, AK Singh Proceedings of the 26th international conference on world wide web, 725-733, 2017 | 40 | 2017 |
| Incremental and adaptive clustering stream data over sliding window XH Dang, VCS Lee, WK Ng, KL Ong Database and Expert Systems Applications: 20th International Conference …, 2009 | 33 | 2009 |
| Granite code models: A family of open foundation models for code intelligence M Mishra, M Stallone, G Zhang, Y Shen, A Prasad, AM Soria, M Merler, ... arXiv preprint arXiv:2405.04324, 2024 | 28 | 2024 |
| Dynamic discovery of dependencies among time series data using neural networks SY Shah, XH Dang, P Zerfos US Patent App. 15/982,615, 2019 | 28 | 2019 |
| A framework to uncover multiple alternative clusterings XH Dang, J Bailey Machine Learning 98, 7-30, 2015 | 27 | 2015 |
| Outlier Detection with Space Transformation and Spectral Analysis XH Dang, B Micenková, I Assent, RT Ng SIAM: SIAM International Conference on Data Mining (SDM13), 2013 | 21 | 2013 |
| Online mining of frequent sets in data streams with error guarantee XH Dang, WK Ng, KL Ong Knowledge and information systems 16, 245-258, 2008 | 21 | 2008 |
| Generating multiple alternative clusterings via globally optimal subspaces XH Dang, J Bailey Data mining and knowledge discovery 28, 569-592, 2014 | 15 | 2014 |
| Root cause detection using dynamic dependency graphs from time series data SY Shah, XH Dang, P Zerfos 2018 IEEE International Conference on Big Data (Big Data), 1998-2003, 2018 | 14 | 2018 |
| Learning about learning: mining human brain sub-network biomarkers from fMRI data P Bogdanov, N Dereli, XH Dang, DS Bassett, NF Wymbs, ST Grafton, ... PLoS one 12 (10), e0184344, 2017 | 14 | 2017 |
| Discriminative subnetworks with regularized spectral learning for global-state network data XH Dang, AK Singh, P Bogdanov, H You, B Hsu Machine Learning and Knowledge Discovery in Databases: European Conference …, 2014 | 14 | 2014 |
| On critical event observability using social networks: A disaster monitoring perspective DA Nguyen, T Abdelzaher, S Borbash, XH Dang, R Ganti, A Singh, ... 2014 IEEE Military Communications Conference, 1633-1638, 2014 | 12 | 2014 |
W. K. NgNanyang Technological University, SingaporeVerified email at ntu.edu.sg
