73 citations · 164 across the 14 of their papers we have counts for
16 papers
Demystifying Feature Engineering in Malware Analysis of API Call Sequences
Tianheng Qu, Hongsong Zhu, Limin Sun +4
Machine learning (ML) has been widely used to analyze API call sequences in malware analysis, which typically requires the expertise of domain specialists to extract relevant featu…
Hierarchical Aligned Multimodal Learning for NER on Tweet Posts
Peipei Liu, Hong Li, Yimo Ren +4
Mining structured knowledge from tweets using named entity recognition (NER) can be beneficial for many down stream applications such as recommendation and intention understanding.…
LibAM: An Area Matching Framework for Detecting Third-party Libraries in Binaries
Siyuan Li, Yongpan Wang, Chaopeng Dong +8
Third-party libraries (TPLs) are extensively utilized by developers to expedite the software development process and incorporate external functionalities. Nevertheless, insecure TP…
Multi-Granularity Cross-Modality Representation Learning for Named Entity Recognition on Social Media
Peipei Liu, Gaosheng Wang, Hong Li +4
Named Entity Recognition (NER) on social media refers to discovering and classifying entities from unstructured free-form content, and it plays an important role for various applic…
CEntRE: A paragraph-level Chinese dataset for Relation Extraction among Enterprises
Peipei Liu, Hong Li, Zhiyu Wang +5
Enterprise relation extraction aims to detect pairs of enterprise entities and identify the business relations between them from unstructured or semi-structured text data, and it i…
Improving the Modality Representation with Multi-View Contrastive Learning for Multimodal Sentiment Analysis
Peipei Liu, Xin Zheng, Hong Li +4
Modality representation learning is an important problem for multimodal sentiment analysis (MSA), since the highly distinguishable representations can contribute to improving the a…