Seuraa
Jimeng Sun
Jimeng Sun
Professor at University of Illinois Urbana-Champaign
Vahvistettu sähköpostiosoite verkkotunnuksessa illinois.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
Social influence analysis in large-scale networks
J Tang, J Sun, C Wang, Z Yang
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
11202009
Doctor ai: Predicting clinical events via recurrent neural networks
E Choi, MT Bahadori, A Schuetz, WF Stewart, J Sun
Machine Learning for Healthcare Conference, 301-318, 2016
10382016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
E Choi, MT Bahadori, J Sun, J Kulas, A Schuetz, W Stewart
Advances in Neural Information Processing Systems, 3504-3512, 2016
10092016
The TPR*-tree: an optimized spatio-temporal access method for predictive queries
Y Tao, D Papadias, J Sun
Proceedings of the 29th international conference on Very large data bases …, 2003
7512003
Using recurrent neural network models for early detection of heart failure onset
E Choi, A Schuetz, WF Stewart, J Sun
Journal of the American Medical Informatics Association 24 (2), 361-370, 2017
7292017
GraphScope: parameter-free mining of large time-evolving graphs
J Sun, C Faloutsos, S Papadimitriou, PS Yu
Proceedings of the 13th ACM SIGKDD international conference on Knowledge …, 2007
6342007
Beyond streams and graphs: dynamic tensor analysis
J Sun, D Tao, C Faloutsos
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
6112006
Streaming pattern discovery in multiple time-series
S Papadimitriou, J Sun, C Faloutsos
Proceedings of the 31st international conference on Very large data bases …, 2005
5532005
GRAM: Graph-based Attention Model for Healthcare Representation Learning
E Choi, MT Bahadori, L Song, WF Stewart, J Sun
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017
4892017
Temporal recommendation on graphs via long-and short-term preference fusion
L Xiang, Q Yuan, S Zhao, L Chen, X Zhang, Q Yang, J Sun
Proceedings of the 16th ACM SIGKDD international conference on Knowledge …, 2010
4852010
Multi-layer representation learning for medical concepts
E Choi, MT Bahadori, E Searles, C Coffey, M Thompson, J Bost, ...
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
4812016
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
C Xiao, E Choi, J Sun
Journal of the American Medical Informatics Association 25 (10), 1419-1428, 2018
4642018
Generating multi-label discrete patient records using generative adversarial networks
E Choi, S Biswal, B Malin, J Duke, WF Stewart, J Sun
Machine learning for healthcare conference, 286-305, 2017
4602017
Generating multi-label discrete patient records using generative adversarial networks
E Choi, S Biswal, B Malin, J Duke, WF Stewart, J Sun
Machine learning for healthcare conference, 286-305, 2017
4602017
Neighborhood formation and anomaly detection in bipartite graphs
J Sun, H Qu, D Chakrabarti, C Faloutsos
Fifth IEEE International Conference on Data Mining (ICDM'05), 8 pp., 2005
4492005
Scalable tensor decompositions for multi-aspect data mining
TG Kolda, J Sun
2008 Eighth IEEE international conference on data mining, 363-372, 2008
4472008
Explainable Prediction of Medical Codes from Clinical Text
J Mullenbach, S Wiegreffe, J Duke, J Sun, J Eisenstein
arXiv preprint arXiv:1802.05695, 2018
4142018
Cross-domain collaboration recommendation
J Tang, S Wu, J Sun, H Su
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
3552012
Incremental tensor analysis: Theory and applications
J Sun, D Tao, S Papadimitriou, PS Yu, C Faloutsos
ACM Transactions on Knowledge Discovery from Data (TKDD) 2 (3), 1-37, 2008
3222008
Disco: Distributed co-clustering with map-reduce: A case study towards petabyte-scale end-to-end mining
S Papadimitriou, J Sun
2008 Eighth IEEE International Conference on Data Mining, 512-521, 2008
3112008
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Artikkelit 1–20