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08/11/2023
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Large Language Models (LLMs) have taken Knowledge Representation – and t...
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10/20/2022
Tele-Knowledge Pre-training for Fault Analysis
In this work, we share our experience on tele-knowledge pre-training for...
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09/21/2022
Chatbots for Mental Health Support: Exploring the Impact of Emohaa on Reducing Mental Distress in China
The growing demand for mental health support has highlighted the importa...
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01/10/2022
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
We present a new open-source and extensible knowledge extraction toolkit...
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09/18/2020
The Deep Learning Galerkin Method for the General Stokes Equations
The finite element method, finite difference method, finite volume metho...
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09/02/2020
Overcoming Negative Transfer: A Survey
Transfer learning aims to help the target task with little or no trainin...
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12/01/2019
Transferability versus Discriminability: Joint Probability Distribution Adaptation (JPDA)
Transfer learning makes use of data or knowledge in one task to help sol...
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11/01/2019
PtLnc-BXE: Prediction of plant lncRNAs using a Bagging-XGBoost-ensemble method with multiple features
Motivation: Long non-coding RNAs (lncRNAs) are a diverse class of RNA mo...
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06/12/2019
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations
Motivation: Graph embedding learning which aims to automatically learn l...
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06/23/2018
