output
20192026
most citedVul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection

41 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2024Show all

5 papers · 1 filter

cs.RO2024★ 1 cited

Video2Reward: Generating Reward Function from Videos for Legged Robot Behavior Learning

Runhao Zeng, Dingjie Zhou, Qiwei Liang +6

Learning behavior in legged robots presents a significant challenge due to its inherent instability and complex constraints. Recent research has proposed the use of a large languag…

cs.LG2024★ 4 cited

Residual Hyperbolic Graph Convolution Networks

Yangkai Xue, Jindou Dai, Zhipeng Lu +2

Hyperbolic graph convolutional networks (HGCNs) have demonstrated representational capabilities of modeling hierarchical-structured graphs. However, as in general GCNs, over-smooth…

cs.AI2024★ 15 cited

Facial Expression Analysis and Its Potentials in IoT Systems: A Contemporary Survey

Zixuan Shangguan, Yanjie Dong, Song Guo +3

Facial expressions convey human emotions and can be categorized into macro-expressions (MaEs) and micro-expressions (MiEs) based on duration and intensity. While MaEs are voluntary…

eess.SY2024★ 16 cited

QoE Maximization for Multiple-UAV-Assisted Multi-Access Edge Computing via an Online Joint Optimization Approach

Long He, Geng Sun, Zemin Sun +5

In disaster scenarios, conventional terrestrial multi-access edge computing (MEC) paradigms, which rely on ground infrastructure, may become unavailable due to infrastructure damag…

cs.CR2024★ 41 cited

Vul-LMGNNs: Fusing language models and online-distilled graph neural networks for code vulnerability detection

Ruitong Liu, Yanbin Wang, Haitao Xu +4

Code Language Models (codeLMs) and Graph Neural Networks (GNNs) are widely used in code vulnerability detection. However, GNNs often rely on aggregating information from adjacent n…