Yuanye He

Orcid: 0000-0002-3431-904X

According to our database1, Yuanye He authored at least 13 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
RW-MMDCG: Muti-modal via Rolling-Window Directed Graph Network for Conversational Emotion Recognition.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022
GSDM: A Gated Semantic Discriminating Model for Knowledge Graph Completion.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

2021
Representing Knowledge Graphs with Gaussian Mixture Embedding.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Learning from Audience Interaction: Multi-Instance Multi-Label Topic Model for Video Shots Annotating.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

Graph Attention Autoencoder for Collaborative Pair-wise Ranking.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

2020
Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model.
IEEE Access, 2020

2019
Zero-shot learning of user intent understanding by Convolutional Neural Networks.
Aust. J. Intell. Inf. Process. Syst., 2019

Graph Attention Networks for Neural Social Recommendation.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

A Robust Embedding for Attributed Networks with Outliers.
Proceedings of the Neural Information Processing - 26th International Conference, 2019

Dynamic Graph Link Prediction by Semantic Evolution.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
Next Check-in Location Prediction via Footprints and Friendship on Location-Based Social Networks.
Proceedings of the 19th IEEE International Conference on Mobile Data Management, 2018

A MIML-LSTM neural network for integrated fine-grained event forecasting.
Proceedings of 2018 International Conference on Big Data Technologies, 2018

2017
YZU-NLP at EmoInt-2017: Determining Emotion Intensity Using a Bi-directional LSTM-CNN Model.
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017


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