| 2021 | SIGMOD | AutoAI-TS: AutoAI for Time Series Forecasting. | Syed Yousaf Shah, Dhaval Patel, Long Vu, Xuan-Hong Dang, Bei Chen, Peter Kirchner, Horst Samulowitz, David Wood, Gregory Bramble, Wesley M. Gifford, Giridhar Ganapavarapu, Roman Vaculn, Petros Zerfos |
| 2020 | IJCAI | "The Squawk Bot": Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering. | Xuan-Hong Dang, Syed Yousaf Shah, Petros Zerfos |
| 2017 | WWW | GPOP: Scalable Group-level Popularity Prediction for Online Content in Social Networks. | Minh X. Hoang, Xuan-Hong Dang, Xiang Wu, Zhenyu Yan, Ambuj K. Singh |
| 2017 | SDM | Subnetwork Mining with Spatial and Temporal Smoothness. | Xuan-Hong Dang, Hongyuan You, Ambuj K. Singh, Scott T. Grafton |
| 2016 | ICDM | Outlier Detection from Network Data with Subnetwork Interpretation. | Xuan-Hong Dang, Arlei Silva, Ambuj K. Singh, Ananthram Swami, Prithwish Basu |
| 2016 | KDD | Graph Wavelets via Sparse Cuts. | Arlei Silva, Xuan-Hong Dang, Prithwish Basu, Ambuj K. Singh, Ananthram Swami |
| 2015 | ICDM | Learning Predictive Substructures with Regularization for Network Data. | Xuan-Hong Dang, Hongyuan You, Petko Bogdanov, Ambuj K. Singh |
| 2014 | ICDE | Discriminative features for identifying and interpreting outliers. | Xuan-Hong Dang, Ira Assent, Raymond T. Ng, Arthur Zimek, Erich Schubert |
| 2013 | ICDM | Explaining Outliers by Subspace Separability. | Barbora Micenkov, Raymond T. Ng, Xuan-Hong Dang, Ira Assent |
| 2013 | SDM | Outlier Detection with Space Transformation and Spectral Analysis. | Ira Assent, Xuan-Hong Dang, Barbora Micenkov, Raymond T. Ng |
| 2010 | KDD | A hierarchical information theoretic technique for the discovery of non linear alternative clusterings. | Xuan-Hong Dang, James Bailey |
| 2010 | SDM | Generation of Alternative Clusterings Using the CAMI Approach. | Xuan-Hong Dang, James Bailey |
| 2009 | DASFAA | An EM-Based Algorithm for Clustering Data Streams in Sliding Windows. | Xuan-Hong Dang, Vincent C. S. Lee, Wee Keong Ng, Arridhana Ciptadi, Kok-Leong Ong |
| 2009 | DEXA | Incremental and Adaptive Clustering Stream Data over Sliding Window. | Xuan-Hong Dang, Vincent C. S. Lee, Wee Keong Ng, Kok-Leong Ong |
| 2007 | AusDM | Discovering Frequent Sets from Data Streams with CPU Constraint. | Xuan-Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vincent C. S. Lee |
| 2006 | DaWaK | EStream: Online Mining of Frequent Sets with Precise Error Guarantee. | Xuan-Hong Dang, Wee Keong Ng, Kok-Leong Ong |
| 2006 | DaWaK | Adaptive Load Shedding for Mining Frequent Patterns from Data Streams. | Xuan-Hong Dang, Wee Keong Ng, Kok-Leong Ong |