Conghua Zhou

A heterogeneous couplings and persuasive user/item information model for Next Basket recommendation

Eric Appiah Mantey, John Kingsley Arthur, Conghua Zhou, 2022, Eng. Appl. Artif. Intell..

A Discriminative-Based Geometric Deep Learning Model for Cross Domain Recommender Systems

Eric Appiah Mantey, John Kingsley Arthur, Conghua Zhou, 2022, Applied Sciences.

A Systematic Review of Deep Knowledge Graph-Based Recommender Systems, with Focus on Explainable Embeddings

Isaac Tawiah, John Kingsley Arthur, Conghua Zhou, 2022, Data.

Integrated Blockchain-Deep Learning Approach for Analyzing the Electronic Health Records Recommender System

Eric Appiah Mantey, S. Srividhya, B. Sundaravadivazhagan, 2022, Frontiers in Public Health.

Realization of multiform time derivatives of pulses using a Fourier pulse shaping system.

R. Dong, Xiao Xiang, Tao Liu, 2017, Optics express.

A mathematical question matching and ranking method based on knowledge graph and semantic similarity

Conghua Zhou, Weijia Chen, Xiaolong Zhu, 2022, 2022 IEEE 2nd International Conference on Data Science and Computer Application (ICDSCA).

Personalized Relationships-Based Knowledge Graph for Recommender Systems with Dual-View Items

Zhifeng Liu, Conghua Zhou, Xianzhan Zhong, 2022, Symmetry.

A Novel Hierarchical Deep Matrix Completion Method

Yi Jiang, John Kingsley Arthur, Xiaohong Gu, 2021, IEEE Access.