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20212023
most citedDomain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors

4 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR20231 cited

BAGEL: Backdoor Attacks against Federated Contrastive Learning

Yao Huang, Kongyang Chen, Jiannong Cao +5

Federated Contrastive Learning (FCL) is an emerging privacy-preserving paradigm in distributed learning for unlabeled data. In FCL, distributed parties collaboratively learn a glob…

cs.SE2023

Generative Type Inference for Python

Yun Peng, Chaozheng Wang, Wenxuan Wang +2

Python is a popular dynamic programming language, evidenced by its ranking as the second most commonly used language on GitHub. However, its dynamic type system can lead to potenti…

cs.SE20234 cited

Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors

Yun Peng, Shuzheng Gao, Cuiyun Gao +2

Although the dynamic type system of Python facilitates the developers in writing Python programs, it also brings type errors at run-time. There exist rule-based approaches for auto…

cs.SE20223 cited

API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning

Yujia Chen, Xiaoxue Ren, Cuiyun Gao +3

Developers often need to decide which APIs to use for the functions being implemented. With the ever-growing number of APIs and libraries, it becomes increasingly difficult for dev…

cs.SE2021

Revisiting, Benchmarking and Exploring API Recommendation: How Far Are We?

Yun Peng, Shuqing Li, Wenwei Gu +4

Application Programming Interfaces (APIs), which encapsulate the implementation of specific functions as interfaces, greatly improve the efficiency of modern software development.…