most citedFamiliarity-based Collaborative Team Recognition in Academic Social Networks

2 citations · 7 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2023★ 2 cited

A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives

Yudong Gao, Honglong Chen, Peng Sun +3

Backdoor attacks pose serious security threats to deep neural networks (DNNs). Backdoored models make arbitrarily (targeted) incorrect predictions on inputs embedded with well-desi…

cs.CV2022★ 1 cited

Adversarial RAW: Image-Scaling Attack Against Imaging Pipeline

Junjian Li, Honglong Chen

Deep learning technologies have become the backbone for the development of computer vision. With further explorations, deep neural networks have been found vulnerable to well-desig…

cs.SI2022★ 2 cited

Familiarity-based Collaborative Team Recognition in Academic Social Networks

Shuo Yu, Feng Xia, Chen Zhang +2

Collaborative teamwork is key to major scientific discoveries. However, the prevalence of collaboration among researchers makes team recognition increasingly challenging. Previous…

cs.NI2022★ 1 cited

MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks

Zhichen Ni, Honglong Chen, Zhe Li +4

With the rapid development of Artificial Intelligence (AI) and Internet of Things (IoTs), an increasing number of computation intensive or delay sensitive biomedical data processin…

cs.IR2022★ 1 cited

VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation

Zhu Wang, Honglong Chen, Zhe Li +3

Sparsity of user-to-item rating data becomes one of challenging issues in the recommender systems, which severely deteriorates the recommendation performance. Fortunately, context-…

cs.CV2022

Edge Data Based Trailer Inception Probabilistic Matrix Factorization for Context-Aware Movie Recommendation

Honglong Chen, Zhe Li, Zhu Wang +5

The rapid growth of edge data generated by mobile devices and applications deployed at the edge of the network has exacerbated the problem of information overload. As an effective…