| An input-adaptive and in-place approach to dense tensor-times-matrix multiply J Li, C Battaglino, I Perros, J Sun, R Vuduc Proceedings of the International Conference for High Performance Computing …, 2015 | 76 | 2015 |
| SPARTan: Scalable PARAFAC2 for large & sparse data I Perros, EE Papalexakis, F Wang, R Vuduc, E Searles, M Thompson, ... Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 75 | 2017 |
| Model-driven sparse CP decomposition for higher-order tensors J Li, J Choi, I Perros, J Sun, R Vuduc 2017 IEEE international parallel and distributed processing symposium (IPDPS …, 2017 | 60 | 2017 |
| Sparse hierarchical tucker factorization and its application to healthcare I Perros, R Chen, R Vuduc, J Sun 2015 IEEE International Conference on Data Mining, 943-948, 2015 | 56 | 2015 |
| SPALS: Fast alternating least squares via implicit leverage scores sampling D Cheng, R Peng, I Perros, Y Liu Advances In Neural Information Processing Systems, 721-729, 2016 | 44 | 2016 |
| COPA: Constrained PARAFAC2 for sparse & large datasets A Afshar, I Perros, EE Papalexakis, E Searles, J Ho, J Sun Proceedings of the 27th ACM International Conference on Information and …, 2018 | 32 | 2018 |
| Cp-ortho: An orthogonal tensor factorization framework for spatio-temporal data A Afshar, JC Ho, B Dilkina, I Perros, EB Khalil, L Xiong, V Sunderam Proceedings of the 25th ACM SIGSPATIAL international conference on advances …, 2017 | 25 | 2017 |
| Sustain: Scalable unsupervised scoring for tensors and its application to phenotyping I Perros, EE Papalexakis, H Park, R Vuduc, X Yan, C Defilippi, WF Stewart, ... Proceedings of the 24th acm sigkdd international conference on knowledge …, 2018 | 22 | 2018 |
| Taste: temporal and static tensor factorization for phenotyping electronic health records A Afshar, I Perros, H Park, C Defilippi, X Yan, W Stewart, J Ho, J Sun Proceedings of the ACM Conference on Health, Inference, and Learning, 193-203, 2020 | 20 | 2020 |
| Scalable latent tree model and its application to health analytics F Huang, I Perros, R Chen, J Sun, A Anandkumar arXiv preprint arXiv:1406.4566, 2014 | 18* | 2014 |
| Temporal phenotyping of medically complex children via PARAFAC2 tensor factorization I Perros, EE Papalexakis, R Vuduc, E Searles, J Sun Journal of biomedical informatics 93, 103125, 2019 | 17 | 2019 |
| Polyadic Regression and its Application to Chemogenomics I Perros, F Wang, P Zhang, P Walker, R Vuduc, J Pathak, J Sun SIAM International Conference on Data Mining, 2017 | 10 | 2017 |
| Using the PARAFAC2 tensor factorization on EHR audit data to understand PCP desktop work I Perros, X Yan, JB Jones, J Sun, WF Stewart Journal of Biomedical Informatics 101, 103312, 2020 | 3 | 2020 |
| Factorization Machines as a Tool for Healthcare I Perros, J Sun TGeorgia Institute of Technology, Atlanta, 2015 | 2 | 2015 |
| Health data mining using tensor factorization: Methods and applications I Perros Georgia Institute of Technology, 2019 | | 2019 |
| Polyadic Regression and its Application to Chemogenomics-Supplementary Material I Perros, F Wang, P Zhang, P Walker, R Vuduc, J Pathak, J Sun | | |
| Using the PARAFAC2 Tensor Factorization on EHR Audit Data to Model Clinician Behavior IK Perros, X Yan, JB Jones, J Sun, WF Stewart | | |
Jimeng SunProfessor at University of Illinois Urbana-Champaign在 illinois.edu 的电子邮件经过验证
