210 citations · 282 across the 10 of their papers we have counts for
22 papers
A Robust and Generalized Framework for Adversarial Graph Embedding
Jianxin Li, Xingcheng Fu, Hao Peng +5
Graph embedding is essential for graph mining tasks. With the prevalence of graph data in real-world applications, many methods have been proposed in recent years to learn high-qua…
Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
Qingyun Sun, Hao Peng, Jianxin Li +5
Name disambiguation aims to identify unique authors with the same name. Existing name disambiguation methods always exploit author attributes to enhance disambiguation results. How…
Interpretable Deep Learning Model for Online Multi-touch Attribution
Dongdong Yang, Kevin Dyer, Senzhang Wang
In online advertising, users may be exposed to a range of different advertising campaigns, such as natural search or referral or organic search, before leading to a final transacti…
SOM-based DDoS Defense Mechanism using SDN for the Internet of Things
Yunfei Meng, Zhiqiu Huang, Senzhang Wang +2
To effectively tackle the security threats towards the Internet of things, we propose a SOM-based DDoS defense mechanism using software-defined networking (SDN) in this paper. The…
DeepVS: An Efficient and Generic Approach for Source Code Modeling Usage
Yasir Hussain, Zhiqiu Huang, Yu Zhou +1
The source code suggestions provided by current IDEs are mostly dependent on static type learning. These suggestions often end up proposing irrelevant suggestions for a peculiar co…
Deep Transfer Learning for Source Code Modeling
Yasir Hussain, Zhiqiu Huang, Yu Zhou +1
In recent years, deep learning models have shown great potential in source code modeling and analysis. Generally, deep learning-based approaches are problem-specific and data-hungr…