133 citations · 487 across the 30 of their papers we have counts for
18 papers
Utility-driven Mining of Contiguous Sequences
Chunkai Zhang, Quanjian Dai, Zilin Du +3
Recently, contiguous sequential pattern mining (CSPM) gained interest as a research topic, due to its varied potential real-world applications, such as web log and biological seque…
CvS: Classification via Segmentation For Small Datasets
Nooshin Mojab, Philip S. Yu, Joelle A. Hallak +1
Deep learning models have shown promising results in a wide range of computer vision applications across various domains. The success of deep learning methods relies heavily on the…
Dense Hierarchical Retrieval for Open-Domain Question Answering
Ye Liu, Kazuma Hashimoto, Yingbo Zhou +3
Dense neural text retrieval has achieved promising results on open-domain Question Answering (QA), where latent representations of questions and passages are exploited for maximum…
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization
Ye Liu, Jian-Guo Zhang, Yao Wan +3
To capture the semantic graph structure from raw text, most existing summarization approaches are built on GNNs with a pre-trained model. However, these methods suffer from cumbers…
Cross-lingual COVID-19 Fake News Detection
Jiangshu Du, Yingtong Dou, Congying Xia +3
The COVID-19 pandemic poses a great threat to global public health. Meanwhile, there is massive misinformation associated with the pandemic which advocates unfounded or unscientifi…
Deep Fraud Detection on Non-attributed Graph
Chen Wang, Yingtong Dou, Min Chen +3
Fraud detection problems are usually formulated as a machine learning problem on a graph. Recently, Graph Neural Networks (GNNs) have shown solid performance on fraud detection. Th…