131 citations · 153 across the 6 of their papers we have counts for
6 papers
Hyperbolic Self-supervised Contrastive Learning Based Network Anomaly Detection
Yuanjun Shi
Anomaly detection on the attributed network has recently received increasing attention in many research fields, such as cybernetic anomaly detection and financial fraud detection.…
Using Domain Knowledge for Low Resource Named Entity Recognition
Yuan Shi
In recent years, named entity recognition has always been a popular research in the field of natural language processing, while traditional deep learning methods require a large am…
Surgical Scheduling via Optimization and Machine Learning with Long-Tailed Data
Yuan Shi, Saied Mahdian, Jose Blanchet +3
Using data from cardiovascular surgery patients with long and highly variable post-surgical lengths of stay (LOS), we develop a modeling framework to reduce recovery unit congestio…
Sparse Compositional Metric Learning
Yuan Shi, Aurélien Bellet, Fei Sha
We propose a new approach for metric learning by framing it as learning a sparse combination of locally discriminative metrics that are inexpensive to generate from the training da…
Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation
Yuan Shi, Fei Sha
We study the problem of unsupervised domain adaptation, which aims to adapt classifiers trained on a labeled source domain to an unlabeled target domain. Many existing approaches f…
Learning Discriminative Metrics via Generative Models and Kernel Learning
Yuan Shi, Yung-Kyun Noh, Fei Sha +1
Metrics specifying distances between data points can be learned in a discriminative manner or from generative models. In this paper, we show how to unify generative and discriminat…