2 citations · 5 across the 5 of their papers we have counts for
5 papers
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining
Weifeng Jiang, Qianren Mao, Chenghua Lin +4
Many text mining models are constructed by fine-tuning a large deep pre-trained language model (PLM) in downstream tasks. However, a significant challenge nowadays is maintaining p…
CHIEF: Clustering with Higher-order Motifs in Big Networks
Feng Xia, Shuo Yu, Chengfei Liu +1
Clustering a group of vertices in networks facilitates applications across different domains, such as social computing and Internet of Things. However, challenges arises for cluste…
Query-driven Frequent Co-occurring Term Extraction over Relational Data using MapReduce
Jianxin Li, Chengfei Liu, Liang Yao +2
In this paper we study how to efficiently compute \textit{frequent co-occurring terms} (FCT) in the results of a keyword query in parallel using the popular MapReduce framework. Ta…
Quasi-SLCA based Keyword Query Processing over Probabilistic XML Data
Jianxin Li, Chengfei Liu, Rui Zhou +1
The probabilistic threshold query is one of the most common queries in uncertain databases, where a result satisfying the query must be also with probability meeting the threshold…
ELCA Evaluation for Keyword Search on Probabilistic XML Data
Rui Zhou, Chengfei Liu, Jianxin Li +1
As probabilistic data management is becoming one of the main research focuses and keyword search is turning into a more popular query means, it is natural to think how to support k…