Yingshui Tan

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Anomaly Detection

Nearest Neighbor Classifiers

Unsupervised Learning

Classification Models

Top Venues

Neural Comput. Appl.

Publications

Zhendong Liu, Yuanbi Nie, Yingshui Tan, Xiangyu Yue, Qiushi Cui, Chongjun Wang, Xiaoyong Zhu, Bo Zheng
Safety Alignment for Vision Language Models. CoRR (2024)
Xuhong Wang, Baihong Jin, Ying Du, Ping Cui, Yingshui Tan, Yupu Yang
One-class graph neural networks for anomaly detection in attributed networks. Neural Comput. Appl. 33 (18) (2021)
Baihong Jin, Yingshui Tan, Albert Liu, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
Using Ensemble Classifiers to Detect Incipient Anomalies. CoRR (2020)
Yingshui Tan, Baihong Jin, Qiushi Cui, Xiangyu Yue, Alberto L. Sangiovanni-Vincentelli
Generalizing Fault Detection Against Domain Shifts Using Stratification-Aware Cross-Validation. CoRR (2020)
Yingshui Tan, Baihong Jin, Xiangyu Yue, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI. CoRR (2020)
Baihong Jin, Yingshui Tan, Yuxin Chen, Kameshwar Poolla, Alberto L. Sangiovanni-Vincentelli
Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults? CoRR (2020)
Baihong Jin, Yingshui Tan, Alexander J. Nettekoven, Yuxin Chen, Ufuk Topcu, Yisong Yue, Alberto L. Sangiovanni-Vincentelli
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. CoRR (2019)
Yingshui Tan, Baihong Jin, Alexander J. Nettekoven, Yuxin Chen, Yisong Yue, Ufuk Topcu, Alberto L. Sangiovanni-Vincentelli
An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. ICMLA (2019)
Baihong Jin, Yingshui Tan, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli
Augmenting Monte Carlo Dropout Classification Models with Unsupervised Learning Tasks for Detecting and Diagnosing Out-of-Distribution Faults. CoRR (2019)