6 citations · 22 across the 6 of their papers we have counts for
6 papers
A Survey on Neural Abstractive Summarization Methods and Factual Consistency of Summarization
Meng Cao
Automatic summarization is the process of shortening a set of textual data computationally, to create a subset (a summary) that represents the most important pieces of information…
Jacobian Norm for Unsupervised Source-Free Domain Adaptation
Weikai Li, Meng Cao, Songcan Chen
Unsupervised Source (data) Free domain adaptation (USFDA) aims to transfer knowledge from a well-trained source model to a related but unlabeled target domain. In such a scenario,…
Unsupervised Pre-training for Temporal Action Localization Tasks
Can Zhang, Tianyu Yang, Junwu Weng +3
Unsupervised video representation learning has made remarkable achievements in recent years. However, most existing methods are designed and optimized for video classification. The…
Synthetic Defect Generation for Display Front-of-Screen Quality Inspection: A Survey
Shancong Mou, Meng Cao, Zhendong Hong +3
Display front-of-screen (FOS) quality inspection is essential for the mass production of displays in the manufacturing process. However, the severe imbalanced data, especially the…
Information Gain Propagation: a new way to Graph Active Learning with Soft Labels
Wentao Zhang, Yexin Wang, Zhenbang You +5
Graph Neural Networks (GNNs) have achieved great success in various tasks, but their performance highly relies on a large number of labeled nodes, which typically requires consider…
Multiscale modelling couples patches of two-layer thin fluid flow
Meng Cao, A. J. Roberts
The multiscale gap-tooth scheme uses a given microscale simulator of complicated physical processes to enable macroscale simulations by computing only only small sparse patches. Th…