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Shangqing Liu — most-cited papers & profile · AI for Code
← authors
·
overview
Shangqing Liu
10
papers ·
484
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
2019 · 362 citations
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
2020 · 69 citations
Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases
2023 · 28 citations
ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking
2019 · 14 citations
SpecGen: Automated Generation of Formal Program Specifications via Large Language Models
2024 · 6 citations
Do Code Semantics Help? A Comprehensive Study on Execution Trace-Based Information for Code Large Language Models
2025
Impact-driven Context Filtering For Cross-file Code Completion
2025
Intention is All You Need: Refining Your Code from Your Intention
2025
ContrastRepair: Enhancing Conversation-Based Automated Program Repair via Contrastive Test Case Pairs
2024
Top co-authors
Xiaofei Xie
· 4
Yang Liu
· 3
Jingkai Siow
· 2
Xiaoning Du
· 2
and Lei Bu
· 1
and Yang Liu
· 1
Bin Luo
· 1
Cuiyun Gao
· 1
Jian Wang
· 1
Jiaolong Kong
· 1
Jidong Ge
· 1
Kangjie Chen
· 1
Topics
Software Engineering
Code Generation
Code Understanding
Code Models
Program Repair
Testing
Bug Detection