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03/27/2023
TabIQA: Table Questions Answering on Business Document Images
Table answering questions from business documents has many challenges th...
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03/15/2023
An End-to-End Multi-Task Learning Model for Image-based Table Recognition
Image-based table recognition is a challenging task due to the diversity...
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03/14/2023
Rethinking Image-based Table Recognition Using Weakly Supervised Methods
Most of the previous methods for table recognition rely on training data...
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09/30/2022
MEIM: Multi-partition Embedding Interaction Beyond Block Term Format for Efficient and Expressive Link Prediction
Knowledge graph embedding aims to predict the missing relations between ...
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06/22/2021
Kernel Clustering with Sigmoid-based Regularization for Efficient Segmentation of Sequential Data
Kernel segmentation aims at partitioning a data sequence into several no...
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05/12/2021
Co-Factorization Model for Collaborative Filtering with Session-based Data
Matrix factorization (MF) is a common method for collaborative filtering...
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06/29/2020
Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion
Knowledge graph completion is an important task that aims to predict the...
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09/17/2019
Exploring Scholarly Data by Semantic Query on Knowledge Graph Embedding Space
The trends of open science have enabled several open scholarly datasets ...
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08/21/2019
Boosting the Rating Prediction with Click Data and Textual Contents
Matrix factorization (MF) is one of the most efficient methods for ratin...
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03/27/2019
Analyzing Knowledge Graph Embedding Methods from a Multi-Embedding Interaction Perspective
Knowledge graph is a popular format for representing knowledge, with man...
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11/03/2018
Learning Representations from Product Titles for Modeling Shopping Transactions
Shopping transaction analysis is important for understanding the shoppin...
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11/03/2018
Learning Representations from Product Titles for Modeling Large-scale Transaction Logs
Shopping basket data analysis is significant in understanding the shoppi...
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05/17/2018
NPE: Neural Personalized Embedding for Collaborative Filtering
Matrix factorization is one of the most efficient approaches in recommen...
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05/14/2018
Collaborative Item Embedding Model for Implicit Feedback Data
Collaborative filtering is the most popular approach for recommender sys...
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12/15/2017