Bin Luo

Correlating processes for automatic memory evidence analysis

2015

Nowadays in order to process and store many kinds of multimedia data, the storage capability of memory has grown greatly. Moreover the widespread use of mobile devices and cloud computing has made criminal investigators often …

CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models

2023

Despite the recent advances showing that a model pre-trained on large-scale source code data is able to gain appreciable generalization capability, it still requires a sizeable amount of data on the target task for fine-tuning. …

Robust Graph Data Learning via Latent Graph Convolutional Representation

2019 · arXiv (Cornell University)

Graph Convolutional Representation (GCR) has achieved impressive performance for graph data representation. However, existing GCR is generally defined on the input fixed graph which may restrict the representation capacity and also be vulnerable to the …

Graph Edge Representation via Tensor Product Graph Convolutional Representation

2024 · arXiv (Cornell University)

Graph Convolutional Networks (GCNs) have been widely studied. The core of GCNs is the definition of convolution operators on graphs. However, existing Graph Convolution (GC) operators are mainly defined on adjacency matrix and node features …