521 citations · 702 across the 10 of their papers we have counts for
10 papers
LA-HCN: Label-based Attention for Hierarchical Multi-label TextClassification Neural Network
Xinyi Zhang, Jiahao Xu, Charlie Soh +1
Hierarchical multi-label text classification (HMTC) has been gaining popularity in recent years thanks to its applicability to a plethora of real-world applications. The existing H…
apk2vec: Semi-supervised multi-view representation learning for profiling Android applications
Annamalai Narayanan, Charlie Soh, Lihui Chen +2
Building behavior profiles of Android applications (apps) with holistic, rich and multi-view information (e.g., incorporating several semantic views of an app such as API sequences…
graph2vec: Learning Distributed Representations of Graphs
Annamalai Narayanan, Mahinthan Chandramohan, Rajasekar Venkatesan +3
Recent works on representation learning for graph structured data predominantly focus on learning distributed representations of graph substructures such as nodes and subgraphs. Ho…
Context-aware, Adaptive and Scalable Android Malware Detection through Online Learning (extended version)
Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen +1
It is well-known that Android malware constantly evolves so as to evade detection. This causes the entire malware population to be non-stationary. Contrary to this fact, most of th…
A Multi-view Context-aware Approach to Android Malware Detection and Malicious Code Localization
Annamalai Narayanan, Mahinthan Chandramohan, Lihui Chen +1
Existing Android malware detection approaches use a variety of features such as security sensitive APIs, system calls, control-flow structures and information flows in conjunction…
Multi-View Fuzzy Clustering with Minimax Optimization for Effective Clustering of Data from Multiple Sources
Yangtao Wang, Lihui Chen
Multi-view data clustering refers to categorizing a data set by making good use of related information from multiple representations of the data. It becomes important nowadays beca…