activity
20142023
most citedDeep Residual Learning for Image Recognition

4.7k citations · 10.6k across the 105 of their papers we have counts for

collaborators

106 papers

cs.IR2023

Cold & Warm Net: Addressing Cold-Start Users in Recommender Systems

Xiangyu Zhang, Zongqiang Kuang, Zehao Zhang +2

Cold-start recommendation is one of the major challenges faced by recommender systems (RS). Herein, we focus on the user cold-start problem. Recently, methods utilizing side inform…

cs.LG2023★ 9 cited

Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks

Gaotang Li, Marlena Duda, Xiang Zhang +2

Brain graphs, which model the structural and functional relationships between brain regions, are crucial in neuroscientific and clinical applications involving graph classification…

cs.SE2023★ 9 cited

How Effective are Large Language Models in Generating Software Specifications?

Danning Xie, Byungwoo Yoo, Nan Jiang +4

Software specifications are essential for many Software Engineering (SE) tasks such as bug detection and test generation. Many existing approaches are proposed to extract the speci…

cs.SE2023★ 4 cited

Symbol Preference Aware Generative Models for Recovering Variable Names from Stripped Binary

Xiangzhe Xu, Zhuo Zhang, Zian Su +8

Decompilation aims to recover the source code form of a binary executable. It has many security applications, such as malware analysis, vulnerability detection, and code hardening.…

cs.LG2023★ 1 cited

GC-Flow: A Graph-Based Flow Network for Effective Clustering

Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang +1

Graph convolutional networks (GCNs) are \emph{discriminative models} that directly model the class posterior for semi-supervised classification of graph data. Whi…

cs.CR2023★ 1 cited

Lifting Network Protocol Implementation to Precise Format Specification with Security Applications

Qingkai Shi, Junyang Shao, Yapeng Ye +2

Inferring protocol formats is critical for many security applications. However, existing format-inference techniques often miss many formats, because almost all of them are in a fa…