5 papers
Bayesian Environment Invariant Regression
Ruqian Zhang, Juan Shen, Yijiao Zhang
The availability of data from multiple heterogeneous environments has motivated methods that remain reliable under distributional shifts. When the joint distribution of response an…
Syntax-Guided Diffusion Language Models with User-Integrated Personalization
Ruqian Zhang, Yijiao Zhang, Juan Shen +2
Large language models have made revolutionary progress in generating human-like text, yet their outputs often tend to be generic, exhibiting insufficient structural diversity, whic…
Covariate-Elaborated Robust Partial Information Transfer with Conditional Spike-and-Slab Prior
Ruqian Zhang, Yijiao Zhang, Annie Qu +2
The popularity of transfer learning stems from the fact that it can borrow information from useful auxiliary datasets. Existing statistical transfer learning methods usually adopt…
On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities
Zhen Li, Ning Wang, Deqing Zou +5
Software vulnerabilities are a major cyber threat and it is important to detect them. One important approach to detecting vulnerabilities is to use deep learning while treating a p…
Robin: A Novel Method to Produce Robust Interpreters for Deep Learning-Based Code Classifiers
Zhen Li, Ruqian Zhang, Deqing Zou +5
Deep learning has been widely used in source code classification tasks, such as code classification according to their functionalities, code authorship attribution, and vulnerabili…