Rong Gao

发表

Neural Graph for Personalized Tag Recommendation

Li Zhang, Yonghong Yu, Rong Gao, 2022, IEEE Intelligent Systems.

A Graph-Neural-Network-Based Social Network Recommendation Algorithm Using High-Order Neighbor Information

Yonghong Yu, Weiwen Qian, Rong Gao, 2022, Sensors.

A Deep Ensemble Neural Network with Attention Mechanisms for Lung Abnormality Classification Using Audio Inputs

Li Zhang, Yonghong Yu, Akshi Kumar, 2022, Sensors.

Neural Personalized Ranking via Poisson Factor Model for Item Recommendation

Can Wang, Rong Gao, Yonghong Yu, 2019, Complex..

DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation

Jun Chang, Jing Li, Rong Gao, 2019, KDD.

Graph Neural Networks Boosted Personalized Tag Recommendation Algorithm

Li Zhang, Yonghong Yu, Rong Gao, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

A hybrid neural network approach to combine textual information and rating information for item recommendation

Bo Du, Jun Chang, Donghua Liu, 2020, Knowledge and Information Systems.

Elective future: The influence factor mining of students’ graduation development based on hierarchical attention neural network model with graph

Yonghong Yu, Chunzhi Wang, Yong Ouyang, 2020, Applied Intelligence.

STSCR: Exploring spatial-temporal sequential influence and social information for location recommendation

Jing Li, Jun Chang, Chengfang Song, 2018, Neurocomputing.

DRCGR: Deep Reinforcement Learning Framework Incorporating CNN and GAN-Based for Interactive Recommendation

Rong Gao, Donghua Liu, Shuai Chen, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

A personalized point-of-interest recommendation model via fusion of geo-social information

Jing Li, Chengfang Song, Xuefei Li, 2018, Neurocomputing.

SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation

Rong Gao, Xuefei Li, Yangyang Xu, 2019, IEEE Access.

Deep Recommendation With Adversarial Training

Junfei Chang, Jing Li, Jia Wu, 2022, IEEE Transactions on Emerging Topics in Computing.

HHA: An Attentive Prediction Model for Academic Abnormality

Yonghong Yu, Yong Ouyang, Yawen Zeng, 2020, IEEE Access.

Low-Light Image Enhancement Base on Brightness Attention Mechanism Generative Adversarial Networks

Hefei Ling, Chunzhi Wang, Lingyu Yan, 2021 .

Gated Dual Hypergraph Convolutional Networks for Recommendation with Self-supervised Learning

Yonghong Yu, Zhiwei Ye, Rong Gao, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).