Yuanye He

YZU-NLP at EmoInt-2017: Determining Emotion Intensity Using a Bi-directional LSTM-CNN Model

Weiyi Liu, K. Robert Lai, Liang-Chih Yu, 2017, WASSA@EMNLP.

Dynamic Graph Link Prediction by Semantic Evolution

Jiong Wang, Neng Gao, Yang Pei, 2019, ICC 2019 - 2019 IEEE International Conference on Communications (ICC).

A Robust Embedding for Attributed Networks with Outliers

Cheng Zhang, Yuanye He, Le Zhang, 2019, ICONIP.

Next Check-in Location Prediction via Footprints and Friendship on Location-Based Social Networks

Xiang Li, Wei Tang, Ji Xiang, 2018, 2018 19th IEEE International Conference on Mobile Data Management (MDM).

Graph Attention Networks for Neural Social Recommendation

Yuanye He, Daren Zha, Nan Mu, 2019, 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI).

A MIML-LSTM neural network for integrated fine-grained event forecasting

Neng Gao, Yuanye He, Lei Wang, 2018 .

Zero-shot learning of user intent understanding by Convolutional Neural Networks

Yuanye He, Ji Xiang, Jiahui Shen, 2019, Aust. J. Intell. Inf. Process. Syst..

Representing Knowledge Graphs with Gaussian Mixture Embedding

Yuanye He, Daren Zha, Xiaobo Guo, 2021, KSEM.

Graph Attention Autoencoder for Collaborative Pair-wise Ranking

Yuanye He, Daren Zha, Nan Mu, 2021, 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD).

Learning from Audience Interaction: Multi-Instance Multi-Label Topic Model for Video Shots Annotating

Neng Gao, Yuanye He, Cong Xue, 2021, 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD).