Yingshui Tan

According to our database, Yingshui Tan authored at least 7 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

One-class graph neural networks for anomaly detection in attributed networks.

Xuhong Wang, Baihong Jin, Ying Du, Ping Cui, Yingshui Tan, Yupu Yang

Neural Comput. Appl., 2021

2020

Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation.

Yingshui Tan, Baihong Jin, Qiushi Cui, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli

CoRR, 2020

Using Ensemble Classifiers to Detect Incipient Anomalies.

Baihong Jin, Yingshui Tan, Albert Liu, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli

CoRR, 2020

Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI.

Yingshui Tan, Baihong Jin, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli

CoRR, 2020

Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?

Baihong Jin, Yingshui Tan, Yuxin Chen, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli

CoRR, 2020

2019

Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults.

Baihong Jin, Yingshui Tan, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli

CoRR, 2019

An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing.

Yingshui Tan, Baihong Jin, Alexander J. Nettekoven, Yuxin Chen, Yisong Yue, Ufuk Topcu, Alberto L. Sangiovanni-Vincentelli

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019