YZU-NLP at EmoInt-2017: Determining Emotion Intensity Using a Bi-directional LSTM-CNN Model. - Yuanye He; Liang-Chih Yu; K. Robert Lai; Weiyi Liu (WASSA@EMNLP, 2017)

A MIML-LSTM neural network for integrated fine-grained event forecasting. - Cong Xue; Zehua Zeng; Yuanye He; Lei Wang; Neng Gao (ICBDT, 2018)

Next Check-in Location Prediction via Footprints and Friendship on Location-Based Social Networks. - Yijun Su; Xiang Li 045; Wei Tang; Ji Xiang; Yuanye He (MDM, 2018)

Dynamic Graph Link Prediction by Semantic Evolution. - Yujing Zhou; Yang Pei; Yuanye He; Jingjie Mo; Jiong Wang; Neng Gao (ICC, 2019)

A Robust Embedding for Attributed Networks with Outliers. - Cheng Zhang; Le Zhang; Yuanye He; Daren Zha (ICONIP (4), 2019)

Graph Attention Networks for Neural Social Recommendation. - Nan Mu; Daren Zha; Yuanye He; Zhihao Tang 001 (ICTAI, 2019)

Zero-shot learning of user intent understanding by Convolutional Neural Networks. - Jiahui Shen; Yuanye He; Ji Xiang (Aust. J. Intell. Inf. Process. Syst., 2019)

Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model. - Jheng-Long Wu; Yuanye He; Liang-Chih Yu; K. Robert Lai (IEEE Access, 2020)

Graph Attention Autoencoder for Collaborative Pair-wise Ranking. - Nan Mu; Daren Zha; Yuanye He; Lin Zhao (CSCWD, 2021)

Learning from Audience Interaction: Multi-Instance Multi-Label Topic Model for Video Shots Annotating. - Zehua Zeng; Neng Gao; Cong Xue; Yuanye He; Xiaobo Guo (CSCWD, 2021)

Representing Knowledge Graphs with Gaussian Mixture Embedding. - Wenying Feng 002; Daren Zha; Xiaobo Guo; Yao Dong 003; Yuanye He (KSEM, 2021)

GSDM: A Gated Semantic Discriminating Model for Knowledge Graph Completion. - Xiaobo Guo; Neng Gao; Nan Mu; Yao Dong 003; Lei Wang 135; Yuanye He (CSCWD, 2022)

RW-MMDCG: Muti-modal via Rolling-Window Directed Graph Network for Conversational Emotion Recognition. - Ruobing Wang; Daren Zha; Qingfei Zhao; Yuanye He; Xin Wang 086 (CSCWD, 2023)