Shangqing Liu
6 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
🧭
Keyword Pioneer
❓
The Questioner
Venues
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Artificial Intelligence
(4)
Core AI
(4)
Architectures
(3)
Models
(3)
Natural Language Processing
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Resources & Methods
(2)
Computer Science
(1)
Security & Privacy
(1)
Application Areas
(1)
Applications
(1)
Keywords
code generation
(3)
large language model
(2)
graph neural network
(2)
backdoor attack
(2)
model editing
(1)
nearest neighbor search
(1)
source code
(1)
semantic information
(1)
adversarial attack
(1)
black-box attack
(1)
pre-trained model
(1)
supervised fine-tuning
(1)
adversarial example
(1)
retrieval-augmented generation
(1)
execution trace
(1)
vulnerability identification
(1)
code model
(1)
code representation
(1)
code summarization
(1)
code large language model
(1)
Papers
Do Code Semantics Help? A Comprehensive Study on Execution Trace-Based Information for Code Large Language Models
EMNLP 2025
BadEdit: Backdooring Large Language Models by Model Editing
ICLR 2024
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search
EMNLP 2023
Multi-target Backdoor Attacks for Code Pre-trained Models
ACL 2023
Retrieval-Augmented Generation for Code Summarization via Hybrid GNN
ICLR 2021
Devign: Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks
NeurIPS 2019