Xia Ning
Xia Ning
Assistant Professor, Biomedical Informatics, Computer Science and Engineering, The Ohio State
Verified email at osu.edu - Homepage
TitleCited byYear
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
3682011
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
2412013
Systems and methods for semi-supervised relationship extraction
Y Qi, B Bai, X Ning, P Kuksa
US Patent 8,874,432, 2014
1632014
A comprehensive survey of neighborhood-based recommendation methods
X Ning, C Desrosiers, G Karypis
recommender system handbook, 2nd edition, 37-76, 2015
1332015
Object recognition system with database pruning and querying
PK Baheti, A Swaminathan, SD Spindola, X Ning
US Patent App. 12/832,796, 2012
1102012
Sparse Linear Methods with Side Information for Top-N Recommendations
X Ning, G Karypis
ACM RecSys, 2012
1062012
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
412009
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
312015
Multi-view learning via probabilistic latent semantic analysis
F Zhuang, G Karypis, X Ning, Q He, Z Shi
Information Sciences 199, 20-30, 2012
282012
Heterogeneous log analysis
X Ning, G Jiang, H Chen, K Yoshihira
US Patent 10,114,148, 2018
272018
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
262016
Multi-task Learning for Recommender Systems
X Ning, G Karypis
262009
The set classification problem and solution methods
X Ning, G Karypis
Proceedings of the 2009 SIAM International Conference on Data Mining, 847-858, 2009
232009
Interpretable sparse high-order boltzmann machines
MR Min, X Ning, C Cheng, M Gerstein
Artificial Intelligence and Statistics, 614-622, 2014
182014
Improved Machine Learning Models for Predicting Selective Compounds
X Ning, M Walters, G Karypis
Journal of Chemical Informatics and Modeling 52 (1), 38-50, 2012
152012
Improved Machine Learning Models for Predicting Selective Compounds
X Ning, M Walters, George
journal of chemical informatics and modeling 52 (1), 38–50, 2011
152011
Trends in chemical graph data mining
N Wale, X Ning, G Karypis
Managing and Mining Graph Data, 581-606, 2010
152010
Grade Prediction with Temporal Course-wise Influence
Z Ren, X Ning, H Rangwala
10th International Conference on Educational Data Mining, 48--55, 2017
142017
Semi-supervised abstraction-augmented string kernel for multi-level bio-relation extraction
P Kuksa, Y Qi, B Bai, R Collobert, J Weston, V Pavlovic, X Ning
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010
112010
HLAer : a System for Heterogeneous Log Analysis
X Ning, G Jiang, H Chen, K Yoshihira
SDM workshop on heterogeneous learning, 2014
102014
The system can't perform the operation now. Try again later.
Articles 1–20