Jingbin Zhong

According to our database, Jingbin Zhong authored at least 4 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Wasserstein autoencoders for collaborative filtering.

Xiaofeng Zhang, Jingbin Zhong, Kai Liu

Neural Comput. Appl., 2021

2020

A novel hybrid deep recommendation system to differentiate user's preference and item's attractiveness.

Xiaofeng Zhang, Huijie Liu, Xiaoyun Chen, Jingbin Zhong, Di Wang

Inf. Sci., 2020

Correlated Wasserstein Autoencoder for Implicit Data Recommendation.

Linying Yao, Jingbin Zhong, Xiaofeng Zhang, Linhao Luo

Proceedings of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, 2020

2018

Wasserstein Autoencoders for Collaborative Filtering.

Jingbin Zhong, Xiaofeng Zhang

CoRR, 2018