Donghua Liu

发表

Integrated extremum seeking control method and its application to the suppression of combustion instabilities

Jing Li, Donghua Liu, Bin Zuo, 2014 .

Adaptive Hierarchical Attention-Enhanced Gated Network Integrating Reviews for Item Recommendation

Bo Du, Donghua Liu, Xuefei Li, 2022, IEEE Transactions on Knowledge and Data Engineering.

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

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

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.

Interest Evolution-driven Gated Neighborhood aggregation representation for dynamic recommendation in e-commerce

Xuefei Li, Junfei Chang, Jing Li, 2022, Inf. Process. Manag..

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).

Deep Recommendation With Adversarial Training

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

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).

Contrastive graph learning long and short-term interests for POI recommendation

Rong Gao, Donghua Liu, Jing Li, 2023, Expert Syst. Appl..

Global Context-Aware Graph Neural Networks for Session-based Recommendation

Junfei Chang, Jing Li, Chenyan Zhang, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Multi-Aspect enhanced Graph Neural Networks for recommendation

Shan Xue, Junfei Chang, Jing Li, 2022, Neural Networks.