2 citations · 5 across the 4 of their papers we have counts for
4 papers
CodeS: Natural Language to Code Repository via Multi-Layer Sketch
Daoguang Zan, Ailun Yu, Wei Liu +11
The impressive performance of large language models (LLMs) on code-related tasks has shown the potential of fully automated software development. In light of this, we introduce a n…
Improving Natural Language Capability of Code Large Language Model
Wei Li, Daoguang Zan, Bei Guan +3
Code large language models (Code LLMs) have demonstrated remarkable performance in code generation. Nonetheless, most existing works focus on boosting code LLMs from the perspectiv…
A GAN-based data poisoning framework against anomaly detection in vertical federated learning
Xiaolin Chen, Daoguang Zan, Wei Li +2
In vertical federated learning (VFL), commercial entities collaboratively train a model while preserving data privacy. However, a malicious participant's poisoning attack may degra…
Fed-EINI: An Efficient and Interpretable Inference Framework for Decision Tree Ensembles in Federated Learning
Xiaolin Chen, Shuai Zhou, Bei guan +4
The increasing concerns about data privacy and security drive an emerging field of studying privacy-preserving machine learning from isolated data sources, i.e., federated learning…