59 citations · 63 across the 6 of their papers we have counts for
6 papers
Modeling Relevance Ranking under the Pre-training and Fine-tuning Paradigm
Lin Bo, Liang Pang, Gang Wang +3
Recently, pre-trained language models such as BERT have been applied to document ranking for information retrieval, which first pre-train a general language model on an unlabeled l…
A Logical Neural Network Structure With More Direct Mapping From Logical Relations
Gang Wang
Logical relations widely exist in human activities. Human use them for making judgement and decision according to various conditions, which are embodied in the form of \emph{if-the…
SceneRec: Scene-Based Graph Neural Networks for Recommender Systems
Gang Wang, Ziyi Guo, Xiang Li +2
Collaborative filtering has been largely used to advance modern recommender systems to predict user preference. A key component in collaborative filtering is representation learnin…
SparTerm: Learning Term-based Sparse Representation for Fast Text Retrieval
Yang Bai, Xiaoguang Li, Gang Wang +6
Term-based sparse representations dominate the first-stage text retrieval in industrial applications, due to its advantage in efficiency, interpretability, and exact term matching.…
Scene Text Recognition With Finer Grid Rectification
Gang Wang
Scene Text Recognition is a challenging problem because of irregular styles and various distortions. This paper proposed an end-to-end trainable model consists of a finer rectifica…
A Novel Neural Network Structure Constructed according to Logical Relations
Gang Wang
To solve more complex things, computer systems becomes more and more complex. It becomes harder to be handled manually for various conditions and unknown new conditions in advance.…