Ying Lin
Title
Cited by
Cited by
Year
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
152017
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 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
132014
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
112018
Analysis of depression trajectory patterns using collaborative learning
Y Lin, S Huang, G Simon, S Liu
Mathematical Bioscience 282, 191-203, 2016
112016
Data-based decision rules to personalize depression follow-up
Y Lin, S Huang, GE Simon, S Liu
Scientific reports 8 (1), 1-8, 2018
102018
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
82015
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
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
32019
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
32018
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
22019
GID: Graph-based Intrusion Detection on Massive Process Traces for Enterprise Security Systems
B Dong, Z Chen, H Wang, LA Tang, K Zhang, Y Lin, H Chen, G Jiang
arXiv preprint arXiv:1608.02639, 2016
22016
A machine learning approach to predicting autism risk genes: Validation of known genes and discovery of new candidates
Y Lin, S Afshar, AM Rajadhyaksha, JB Potash, S Han
Frontiers in genetics 11, 2020
12020
Online alert ranking and attack scenario reconstruction
Z Chen, L Tang, Y Lin, LI Zhichun, H Chen, G Jiang
US Patent 10,333,952, 2019
12019
Forecasting the Demand of Mobile Clinic Services at Vulnerable Communities Based on Integrated Multi-Source Data
B Majeed, J Peng, A Li, Y Lin, RI Delgado
IISE Transactions on Healthcare Systems Engineering, 1-41, 2020
2020
Anomalous Event Sequence Detection
B Dong, Z Chen, H Wang, LA Tang, K Zhang, Y Lin, Z Li, H Chen
IEEE Intelligent Systems, 2020
2020
Large-Scale Personalized Health Surveillance by Collaborative Learning and Selective Sensing
Y Lin
2017
EEG-based driving fatigue detection using a two-level learning hierarchy radial basis function
Z Ren, R Li, B Chen, H Zhang, Y Ma, C Wang, Y Lin, Y Zhang
Frontiers in Neurorobotics 15, 3, 0
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Articles 1–19