Xia Ning
Xia Ning
Associate Professor, Biomedical Informatics, Computer Science and Engineering, The Ohio State
Verified email at - Homepage
Cited by
Cited by
Slim: Sparse linear methods for top-n recommender systems
X Ning, G Karypis
Data Mining (ICDM), 2011 IEEE 11th International Conference on, 497-506, 2011
Fism: factored item similarity models for top-n recommender systems
S Kabbur, X Ning, G Karypis
Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013
A comprehensive survey of neighborhood-based recommendation methods
X Ning, C Desrosiers, G Karypis
recommender system handbook, 2nd edition, 37-76, 2015
Systems and methods for semi-supervised relationship extraction
Y Qi, B Bai, X Ning, P Kuksa
US Patent 8,874,432, 2014
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment
MA Haendel, CG Chute, TD Bennett, DA Eichmann, J Guinney, WA Kibbe, ...
Journal of the American Medical Informatics Association 28 (3), 427-443, 2020
Sparse Linear Methods with Side Information for Top-N Recommendations
X Ning, G Karypis
ACM RecSys, 2012
Object recognition system with database pruning and querying
PK Baheti, A Swaminathan, SD Spindola, X Ning
US Patent App. 12/832,796, 2012
Multi-task Multi-dimensional Hawkes Processes for Modeling Event Sequences
D Luo, H Xu, Y Zhen, X Ning, H Zha
International Joint Conference of Artificial Intelligence, 2015
DRKG -- drug repurposing knowledge graph for COVID-19
VN Ioannidis, X Song, S Manchanda, M Li, X Pan, D Zheng, X Ning, ... …, 2020
Multi-assay-based structure− activity relationship models: improving structure− activity relationship models by incorporating activity information from related targets
X Ning, H Rangwala, G Karypis
Journal of chemical information and modeling 49 (11), 2444-2456, 2009
Multi-view learning via probabilistic latent semantic analysis
F Zhuang, G Karypis, X Ning, Q He, Z Shi
Information Sciences 199, 20-30, 2012
Multi-task Learning for Recommender System
X Ning, G Karypis
2nd Asian Conference on Machine Learning 13, 269--284, 2010
Multi-task Learning for Recommender Systems
X Ning, G Karypis
Trust from the past: Bayesian personalized ranking based link prediction in knowledge graphs
B Zhang, S Choudhury, MA Hasan, X Ning, K Agarwal, S Purohit, ...
arXiv preprint arXiv:1601.03778, 2016
Grade Prediction with Temporal Course-wise Influence
Z Ren, X Ning, H Rangwala
10th International Conference on Educational Data Mining, 48--55, 2017
Interpretable sparse high-order boltzmann machines
MR Min, X Ning, C Cheng, M Gerstein
Artificial Intelligence and Statistics, 614-622, 2014
HLAer : a System for Heterogeneous Log Analysis
X Ning, G Jiang, H Chen, K Yoshihira
SDM workshop on heterogeneous learning, 2014
The set classification problem and solution methods
X Ning, G Karypis
Proceedings of the 2009 SIAM International Conference on Data Mining, 847-858, 2009
Improved Machine Learning Models for Predicting Selective Compounds
X Ning, M Walters, George
journal of chemical informatics and modeling 52 (1), 38–50, 2011
: Hybrid Associations Models for Sequential Recommendation
B Peng, Z Ren, S Parthasarathy, X Ning
IEEE Transactions on Knowledge and Data Engineering 34 (10), 4838-4853, 2021
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