Lingwei Chen
7 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) ❓ The Questioner
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Research topics
Keywords
graph neural network
(2)
large language model
(2)
representation learning
(2)
transfer learning
(1)
knowledge distillation
(1)
code generation
(1)
explainable ai
(1)
heterogeneous information network
(1)
class imbalance
(1)
parameter efficient
(1)
message passing
(1)
fraud detection
(1)
malware detection
(1)
adversarial attack
(1)
node embedding
(1)
feature aggregation
(1)
software testing
(1)
heterogeneous graph
(1)
program generation
(1)
graph convolutional network
(1)
Papers
2-in-1 Phishing Detection via Large LM Distillation and Small LM Perturbation (Student Abstract)
AAAI 2025
AutoFEA: Enhancing AI Copilot by Integrating Finite Element Analysis Using Large Language Models with Graph Neural Networks
AAAI 2025
Clustering-Augmented Fraud Detection on Graphs Using Label-Aware Feature Aggregation
ACML 2024
“Are Your Explanations Reliable?” Investigating the Stability of LIME in Explaining Text Classifiers by Marrying XAI and Adversarial Attack
EMNLP 2023
ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing
AAAI 2022
iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow
IJCAI 2019
Out-of-sample Node Representation Learning for Heterogeneous Graph in Real-time Android Malware Detection
IJCAI 2019