Jingxin Liu

According to our database, Jingxin Liu authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

Information fusion and feature selection for multi-source data utilizing Dempster-Shafer evidence theory and K-nearest neighbors.

Pengfei Zhang, Qinli Zhang, Jingxin Liu, Dexian Wang, Hua Ye, Xiabing Zhang, Tianrui Li

Inf. Sci., 2025

Characterizations for union and intersection on non-normal membership functions of type-2 fuzzy sets.

Zhi-qiang Liu, Jingxin Liu

Int. J. Approx. Reason., 2025

2024

Continuous-Time Distributed Generalized Nash Equilibrium Seeking in Nonsmooth Fuzzy Aggregative Games.

Jingxin Liu, Xiaofeng Liao, Jin-Song Dong, Amin Mansoori

IEEE Trans. Control. Netw. Syst., September, 2024

A Recurrent Neural Network Approach for Constrained Distributed Fuzzy Convex Optimization.

Jingxin Liu, Xiaofeng Liao, Jin-Song Dong

IEEE Trans. Neural Networks Learn. Syst., July, 2024

A Quaternion-Valued Neural Network Approach to Nonsmooth Nonconvex Constrained Optimization in Quaternion Domain.

Jingxin Liu, Xiaofeng Liao, Jin-Song Dong

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

2023

An Enhanced Spotted Hyena Optimization Algorithm and its Application to Engineering Design Scenario.

Luna Fan, Jie Li, Jingxin Liu

Int. J. Artif. Intell. Tools, September, 2023

A Projection Neural Network to Nonsmooth Constrained Pseudoconvex Optimization.

Jingxin Liu, Xiaofeng Liao

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

A neurodynamic approach for nonsmooth optimal power consumption of intelligent and connected vehicles.

Jingxin Liu, Xiaofeng Liao, Jin-Song Dong, Amin Mansoori

Neural Networks, April, 2023

A subgradient-based neurodynamic algorithm to constrained nonsmooth nonconvex interval-valued optimization.

Jingxin Liu, Xiaofeng Liao, Jin-Song Dong, Amin Mansoori

Neural Networks, March, 2023