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Jimeng Sun
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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
14052016
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
13602016
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
12732009
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
9392017
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
7772003
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
7122017
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
7122017
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
6882017
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
6782018
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
6722007
Beyond streams and graphs: dynamic tensor analysis
J Sun, D Tao, C Faloutsos
Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006
6332006
Explainable Prediction of Medical Codes from Clinical Text
J Mullenbach, S Wiegreffe, J Duke, J Sun, J Eisenstein
arXiv preprint arXiv:1802.05695, 2018
5992018
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
5912016
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
5712005
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
5232010
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
4812005
Scalable tensor decompositions for multi-aspect data mining
TG Kolda, J Sun
2008 Eighth IEEE international conference on data mining, 363-372, 2008
4712008
From hype to reality: data science enabling personalized medicine
H Fröhlich, R Balling, N Beerenwinkel, O Kohlbacher, S Kumar, ...
BMC medicine 16, 1-15, 2018
3832018
Cross-domain collaboration recommendation
J Tang, S Wu, J Sun, H Su
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
3822012
Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review
S Hong, Y Zhou, J Shang, C Xiao, J Sun
Computers in Biology and Medicine 122, 103801, 2020
3752020
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