Yurong Zhong

According to our database, Yurong Zhong authored at least 21 papers between 2016 and 2024.

Collaborative distances:

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

2024

Alternating-Direction-Method of Multipliers-Based Adaptive Nonnegative Latent Factor Analysis.

Yurong Zhong, Kechen Liu, Shangce Gao, Xin Luo

IEEE Trans. Emerg. Top. Comput. Intell., October, 2024

Alternating nonnegative least squares-incorporated regularized symmetric latent factor analysis for undirected weighted networks.

Yurong Zhong, Kechen Liu, Chen Jiqiu, Xie Zhe, Weiling Li

Neurocomputing, 2024

Mini-Hes: A Parallelizable Second-order Latent Factor Analysis Model.

Jialiang Wang, Weiling Li, Yurong Zhong, Xin Luo

CoRR, 2024

A Relaxed Symmetric Non-negative Matrix Factorization Approach for Community Discovery.

Zhigang Liu, Hao Yan, Yurong Zhong, Weiling Li

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

2023

An Alternating-Direction-Method of Multipliers-Incorporated Approach to Symmetric Non-Negative Latent Factor Analysis.

Xin Luo, Yurong Zhong, Zidong Wang, Maozhen Li

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Multi-constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Large-scale Undirected Weighted Networks.

Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo

CoRR, 2023

Multi-Constrained Symmetric Nonnegative Latent Factor Analysis for Accurately Representing Undirected Weighted Networks.

Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Proximal Symmetric Non-negative Latent Factor Analysis: A Novel Approach to Highly-Accurate Representation of Undirected Weighted Networks.

Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model.

Yurong Zhong, Weiling Li, Zhigang Liu, Xin Luo

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Momentum-Incorporated Symmetric Non-Negative Latent Factor Models.

Yurong Zhong, Long Jin, Mingsheng Shang, Xin Luo

IEEE Trans. Big Data, 2022

A Practical Second-order Latent Factor Model via Distributed Particle Swarm Optimization.

Jialiang Wang, Yurong Zhong, Weiling Li

CoRR, 2022

An Adaptive Alternating-direction-method-based Nonnegative Latent Factor Model.

Yurong Zhong, Xin Luo

CoRR, 2022

A Dynamic Linear Bias Incorporation Scheme for Nonnegative Latent Factor Analysis.

Yurong Zhong, Zhe Xie, Weiling Li, Xin Luo

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2022

An Unconstrained Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks.

Zhe Xie, Weiling Li, Yurong Zhong

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

Distributed-Particle-Swarm-Optimization-Incorporated Second-order Latent Factor Model.

Jialiang Wang, Yurong Zhong, Weiling Li

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2022

2021

Relaxed Symmetric Non-negative Latent Factor Analysis for Large-scale Undirected Weighted Networks.

Yurong Zhong, Xin Luo

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

Generalized Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks.

Yurong Zhong, Xin Luo

Proceedings of the International Joint Conference on Neural Networks, 2021

Alternating-direction-method of Multipliers-Based Symmetric Nonnegative Latent Factor Analysis for Large-scale Undirected Weighted Networks.

Yurong Zhong, Xin Luo

Proceedings of the 17th IEEE International Conference on Automation Science and Engineering, 2021

2020

A Momentum-incorporated Fast Parallelized Stochastic Gradient Descent for Latent Factor Model in Shared Memory Systems.

Hang Gou, Jinli Li, Wen Qin, Chunlin He, Yurong Zhong, Rui Che

Proceedings of the IEEE International Conference on Networking, Sensing and Control, 2020

2016

An Efficient Association Mining Method via Matrix Compression.

Yurong Zhong, Dan Liu

Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

Improving Government-Data Learning via Distributed Clustering Analysis.

Yurong Zhong

Proceedings of the 7th International Conference on Cloud Computing and Big Data, 2016