Posters

Note: Asterisk * indicates publications on tenure track. Circle o indicates PI’s students or interns. Dagger   indicates publications as a mentor of PI’s students or interns. PI’s name is bold

Ziwei Fano, Evan Burguno, Titus Schleyer, and Xia Ning*. Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering. The 7th IEEE International Conference on Healthcare Informatics, accepted, 2019.

Andrew Cardona, Xia Ning*, S Smart, P Chandrasekaran, C Wei, B Mccarthy, D Lee, and SV Raman. Left ventricular dysfunction, not myocardial injury, drives use of cardioprotective medications in acute myocarditis: insights from machine learning. EuroCMR, 2019.

Wen-Hao Chiango and Xia Ning*. Drug-drug interaction prediction based on co-medication patterns and graph matching. In International School and Confernece on Network Science, NetSci’18, 2018.

Xia Ning*, Lang Li, and Li Shen. Pattern discovery from directional high-order drug-drug interaction relations. In International School and Confernece on Network Science, NetSci’17, 2017.

Danai Chasioti, Xiaohui Yao, Pengyue Zhang, Xia Ning*, Lang Li, and Li Shen. Mining directional drug interaction effects on myopathy using the faers database. In Pacific Symposium on Biocomputing, PSB’17, 2017.

Danai Chasioti, Xiaohui Yao, Pengyue Zhang, Sara Quinney, Xia Ning*, Lang Li, and Li Shen. Mining and visualizing the network of directional drug interaction effects. In International School and Confernece on Network Science, NetSci’17, 2017.

Xia Ning and George Karypis. Sparse linear methods with side information for top-n recommendations. In Proceedings of the 21st World Wide Web Conference (Companion Volume), WWW’12, pages 581–582, 2012. [ DOI | http ]

Xia Ning. Data mining and machine learning methods for chemical informatics. In SIAM International Conference on Data Mining Doctoral Forum, SDM’12, 2012.