| Focusing decomposition accuracy by personalizing tensor decomposition (PTD) X Li, S Huang, KS Candan, ML Sapino Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 25 | 2014 |
| 2PCP: Two-phase CP decomposition for billion-scale dense tensors X Li, S Huang, KS Candan, ML Sapino 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 835-846, 2016 | 17 | 2016 |
| M2TD: multi-task tensor decomposition for sparse ensemble simulations X Li, KS Candan, ML Sapino 2018 IEEE 34th International Conference on Data Engineering (ICDE), 1144-1155, 2018 | 15 | 2018 |
| SIMDMS: Data management and analysis to support decision making through large simulation ensembles SR Poccia, ML Sapino, L Sicong, C Xilun, G Yash, H Shengyu, HK Jung, ... Proceedings of the 20th International Conference on Extending Database …, 2017 | 11 | 2017 |
| R2DB: A system for querying and visualizing weighted RDF graphs S Liu, JP Cedeno, KS Candan, ML Sapino, S Huang, X Li 2012 IEEE 28th International Conference on Data Engineering, 1313-1316, 2012 | 9 | 2012 |
| A Study of Faceted Blog Distillation--PRIS at TREC 2009 Blog Track. S Li, H Gao, H Sun, F Chen, O Feng, S Gao, H Zhang, X Li, C Tan, W Xu, ... TREC, 2009 | 7 | 2009 |
| Subspace communication driven search for high dimensional optimization L Mathesen, KK Chandrasekar, X Li, G Pedrielli, KS Candan 2019 Winter Simulation Conference (WSC), 3528-3539, 2019 | 6 | 2019 |
| Datastorm-FE: A data-and decision-flow and coordination engine for coupled simulation ensembles HW Behrens, KS Candan, X Chen, A Gadkari, Y Garg, ML Li, X Li, S Liu, ... Proceedings of the VLDB Endowment 11 (12), 2018 | 6 | 2018 |
| nTD: Noise-profile adaptive tensor decomposition X Li, KS Candan, ML Sapino Proceedings of the 26th International Conference on World Wide Web, 243-252, 2017 | 6 | 2017 |
| “Can you really trust that seed?”: Reducing the impact of seed noise in personalized PageRank S Huang, X Li, KS Candan, ML Sapino 2014 IEEE/ACM International Conference on Advances in Social Networks …, 2014 | 6 | 2014 |
| Selego: Robust Variate Selection for Accurate Time Series Forecasting MLS Manoj Tiwaskar, Yash Garg, Xinsheng Li, K. Selcuk Candan Data Mining and Knowledge Discovery, ECML PKDD, 2021 | 5* | 2021 |
| PRIS at 2009 Relevance Feedback Track: Experiments in Language Model for Relevance Feedback. S Li, X Li, H Zhang, S Gao, G Chen, J Guo TREC, 2009 | 3 | 2009 |
| DataStorm: Coupled, Continuous Simulations for Complex Urban Environments HW Behrens, KS Candan, X Chen, Y Garg, ML Li, X Li, S Liu, ML Sapino, ... ACM/IMS Transactions on Data Science 2 (3), 1-37, 2021 | 2 | 2021 |
| Noise adaptive tensor train decomposition for low-rank embedding of noisy data X Li, KS Candan, ML Sapino International Conference on Similarity Search and Applications, 203-217, 2020 | 2 | 2020 |
| Effective Tensor-Based Data Clustering Through Sub-Tensor Impact Graphs KS Candan, S Huang, X Li, ML Sapino Clustering Methods for Big Data Analytics: Techniques, Toolboxes and …, 2019 | 1 | 2019 |
| Reducing seed noise in personalized PageRank S Huang, X Li, KS Candan, ML Sapino Social Network Analysis and Mining 6, 1-25, 2016 | 1 | 2016 |
| Weakly supervised relevance feedback based on an improved language model XS Li, S Li, WR Xu, G Chen, J Guo Proceedings of the 6th International Conference on Natural Language …, 2010 | 1 | 2010 |
| On Density and Noise Challenges in Tensor-Based Data Analytics X Li Arizona State University, 2019 | | 2019 |
