135 citations · 350 across the 14 of their papers we have counts for
14 papers
Connecting Web Event Forecasting with Anomaly Detection: A Case Study on Enterprise Web Applications Using Self-Supervised Neural Networks
Xiaoyong Yuan, Lei Ding, Malek Ben Salem +2
Recently web applications have been widely used in enterprises to assist employees in providing effective and efficient business processes. Forecasting upcoming web events in enter…
ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles
Xiaoyong Yuan, Leah Ding, Lan Zhang +2
Deep neural networks (DNNs) have become the essential components for various commercialized machine learning services, such as Machine Learning as a Service (MLaaS). Recent studies…
DeepAtom: A Framework for Protein-Ligand Binding Affinity Prediction
Yanjun Li, Mohammad A. Rezaei, Chenglong Li +2
The cornerstone of computational drug design is the calculation of binding affinity between two biological counterparts, especially a chemical compound, i.e., a ligand, and a prote…
Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension
Shounak Datta, Tyler J. Loftus, Matthew M. Ruppert +12
To test the hypothesis that accuracy, discrimination, and precision in predicting postoperative complications improve when using both preoperative and intraoperative data input fea…
Identifying MgII Narrow Absorption Lines with Deep Learning
Yinan Zhao, Jian Ge, Xiaoyong Yuan +3
Metal absorption line systems in distant quasar spectra probe of the history of gas content in the universe. The MgII 2796, 2803 doublet is one of the most important absorptio…
Generalized Batch Normalization: Towards Accelerating Deep Neural Networks
Xiaoyong Yuan, Zheng Feng, Matthew Norton +1
Utilizing recently introduced concepts from statistics and quantitative risk management, we present a general variant of Batch Normalization (BN) that offers accelerated convergenc…