Qing-Xian Wang

According to our database, Qing-Xian Wang authored at least 12 papers between 2017 and 2023.

Collaborative distances:

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

2023

Neighbor importance-aware graph collaborative filtering for item recommendation.

Qingxian Wang, Suqiang Wu, Yanan Bai, Quanliang Liu, Xiaoyu Shi

Neurocomputing, September, 2023

2022

Multi-Constrained Embedding for Accurate Community Detection on Undirected Networks.

Qingxian Wang, Xinyu Liu, Tianqi Shang, Zhigang Liu, Han Yang, Xin Luo

IEEE Trans. Netw. Sci. Eng., 2022

Inference and Prediction in Big Data Using Sparse Gaussian Process Method.

Leta Yobsan Bayisa, Weidong Wang, Qing-Xian Wang, Gurmu Meseret Debele, Lamessa Bona Debela

Proceedings of the ICDSP 2022: 6th International Conference on Digital Signal Processing, Chengdu, China, February 25, 2022

2021

A Recommender System Based on Model Regularization Wasserstein Generative Adversarial Network.

Qingxian Wang, Qing Huang, Kangkang Ma, Xuerui Zhang

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Joint Modeling Dynamic Preferences of Users and Items Using Reviews for Sequential Recommendation.

Tianqi Shang, Xinxin Li, Xiaoyu Shi, Qingxian Wang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

Siamese Generative Adversarial Predicting Network for Extremely Sparse Data in Recommendation System.

Qingxian Wang, Renjian Zhang, Kangkang Ma, Bo Chen, Jiufang Chen, Xiaoyu Shi

Proceedings of the 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), New York City, NY, USA, September 30, 2021

2020

A Non-Negative Matrix-Factorization-Based Network Embedding Approach for Hybrid Recommender Systems.

Qingxian Wang, Mei Long, Han Yang

Proceedings of the CNIOT 2020: 2020 International Conference on Computing, 2020

2019

A momentum-incorporated latent factorization of tensors model for temporal-aware QoS missing data prediction.

Qingxian Wang, Minzhi Chen, Mingsheng Shang, Xin Luo

Neurocomputing, 2019

An adaptive latent factor model via particle swarm optimization.

Qingxian Wang, Sili Chen, Xin Luo

Neurocomputing, 2019

DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction.

Qingxian Wang, Binbin Peng, Xiaoyu Shi, Tianqi Shang, Mingsheng Shang

IEEE Access, 2019

2018

Incremental Slope-one recommenders.

Qing-Xian Wang, Xin Luo, Yan Li, Xiao-Yu Shi, Liang Gu, Mingsheng Shang

Neurocomputing, 2018

2017

Experiments on Neighborhood Combination Strategies for Bi-objective Unconstrained Binary Quadratic Programming Problem.

Li-Yuan Xue, Rong-Qiang Zeng, Wei An, Qing-Xian Wang, Mingsheng Shang

Proceedings of the Parallel Architecture, Algorithm and Programming, 2017