Yingshui Tan

According to our database, Yingshui Tan authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

RapGuard: Safeguarding Multimodal Large Language Models via Rationale-aware Defensive Prompting.

Yilei Jiang, Yingshui Tan, Xiangyu Yue

CoRR, 2024

Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models.

Yingshui Tan, Boren Zheng, Baihui Zheng, Kerui Cao, Huiyun Jing, Jincheng Wei, Jiaheng Liu, Yancheng He, Wenbo Su, Xiangyong Zhu, Bo Zheng, Kaifu Zhang

CoRR, 2024

Enhancing Vision-Language Model Safety through Progressive Concept-Bottleneck-Driven Alignment.

Zhendong Liu, Yuanbi Nie, Yingshui Tan, Xiangyu Yue, Qiushi Cui, Chongjun Wang, Xiaoyong Zhu, Bo Zheng

CoRR, 2024

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models.

Yancheng He, Shilong Li, Jiaheng Liu, Yingshui Tan, Weixun Wang, Hui Huang, Xingyuan Bu, Hangyu Guo, Chengwei Hu, Boren Zheng, Zhuoran Lin, Xuepeng Liu, Dekai Sun, Shirong Lin, Zhicheng Zheng, Xiaoyong Zhu, Wenbo Su, Bo Zheng

CoRR, 2024

Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment.

Yanshi Li, Shaopan Xiong, Gengru Chen, Xiaoyang Li, Yijia Luo, Xingyao Zhang, Yanhui Huang, Xingyuan Bu, Yingshui Tan, Chun Yuan, Jiamang Wang, Wenbo Su, Bo Zheng

CoRR, 2024

Safety Alignment for Vision Language Models.

Zhendong Liu, Yuanbi Nie, Yingshui Tan, Xiangyu Yue, Qiushi Cui, Chongjun Wang, Xiaoyong Zhu, Bo Zheng

CoRR, 2024

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