Ying Lin
Title
Cited by
Cited by
Year
Efficient discovery of abnormal event sequences in enterprise security systems
B Dong, Z Chen, H Wang, LA Tang, K Zhang, Y Lin, Z Li, H Chen
Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017
142017
A collaborative learning framework for estimating many individualized regression models in a heterogeneous population
Y Lin, K Liu, E Byon, X Qian, S Liu, S Huang
IEEE Transactions on Reliability 67 (1), 328-341, 2017
112017
Analysis of depression trajectory patterns using collaborative learning
Y Lin, S Huang, G Simon, S Liu
Mathematical Bioscience 282, 191-203, 2016
112016
A Rule-Based Prognostic Model for Type 1 Diabetes by Identifying and Synthesizing Baseline Profile Patterns
Y Lin, X Qian, J Krischer, K Vehik, HS Lee, S Huang
PLoS ONE 9 (6), e91095, 2014
102014
Data-based decision rules to personalize depression follow-up
Y Lin, S Huang, GE Simon, S Liu
Scientific reports 8 (1), 1-8, 2018
82018
Selective sensing of a heterogeneous population of units with dynamic health conditions
Y Lin, S Liu, S Huang
IISE Transactions 50 (12), 1076-1088, 2018
72018
Collaborative alert ranking for anomaly detection
Y Lin, Z Chen, C Cao, LA Tang, K Zhang, W Cheng, Z Li
Proceedings of the 27th ACM International Conference on Information and …, 2018
62018
THE USE OF SPARSE INVERSE COVARIANCE ESTIMATION FOR RELATIONSHIP DETECTION AND HYPOTHESIS GENERATION IN STRATEGIC MANAGEMENT
M Li, Y Lin, S Huang, G Crossland
Strategic Management Journal 37, 86-97, 2016
52016
Domain-Knowledge Driven Cognitive Degradation Modeling for Alzheimer's Disease
Y Lin, K Liu, E Byon, X Qian, S Huang
2015 SIAM International Conference on Data Mining, 2015
42015
Cost-effectiveness analysis of prognostic-based depression monitoring
Y Lin, S Huang, GE Simon, S Liu
IISE Transactions on Healthcare Systems Engineering 9 (1), 41-54, 2019
22019
Integrating brain methylome with GWAS for psychiatric risk gene discovery
S Han, Y Lin, M Wang, FS Goes, K Tan, P Zandi, T Hyde, DR Weinberger, ...
bioRxiv, 440206, 2018
22018
xSVM: Scalable Distributed Kernel Support Vector Machine Training
R Shah, S Zhang, Y Lin, P Wu
2019 IEEE International Conference on Big Data (Big Data), 155-164, 2019
12019
A machine learning approach to predicting autism risk genes: Validation of known genes and discovery of new candidates
Y Lin, AM Rajadhyaksha, JB Potash, S Han
bioRxiv, 463547, 2018
12018
Large-Scale Personalized Health Surveillance by Collaborative Learning and Selective Sensing
Y Lin
2017
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Articles 1–14