Yuzhe Ou

According to our database, Yuzhe Ou authored at least 6 papers between 2019 and 2026.

Collaborative distances:

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

2026

Conditional Contrastive Confidence-Based Uncertainty Quantification for LLMs.

Yifan Zhang, Yuzhe Ou, Kangshuo Li, Feng Chen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

2024

Hyper Evidential Deep Learning to Quantify Composite Classification Uncertainty.

Changbin Li, Kangshuo Li, Yuzhe Ou, Lance M. Kaplan, Audun Jøsang, Jin-Hee Cho, Dong Hyun Jeong, Feng Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

VULGEN: Realistic Vulnerability Generation Via Pattern Mining and Deep Learning.

Yu Nong, Yuzhe Ou, Michael Pradel, Feng Chen, Haipeng Cai

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

Generating realistic vulnerabilities via neural code editing: an empirical study.

Yu Nong, Yuzhe Ou, Michael Pradel, Feng Chen, Haipeng Cai

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

2021

Multidimensional Uncertainty-Aware Evidential Neural Networks.

Yibo Hu, Yuzhe Ou, Xujiang Zhao, Jin-Hee Cho, Feng Chen

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Quantifying Classification Uncertainty using Regularized Evidential Neural Networks.

Xujiang Zhao, Yuzhe Ou, Lance M. Kaplan, Feng Chen, Jin-Hee Cho

CoRR, 2019