Lingzhi Hu

According to our database, Lingzhi Hu authored at least 20 papers between 2016 and 2025.

Collaborative distances:

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

2025

Nonperiodic and Periodic Event-Triggered Online H∞ Control for Constrained Nonlinear Systems.

Ding Wang, Lingzhi Hu, Hua Wang, Junfei Qiao

IEEE Trans. Syst. Man Cybern. Syst., January, 2025

2024

Comprehensive assessment of imaging quality of artificial intelligence-assisted compressed sensing-based MR images in routine clinical settings.

Adiraju Karthik, Kamal Aggarwal, Aakaar Kapoor, Dharmesh Singh, Lingzhi Hu, Akash Gandhamal, Dileep Kumar

BMC Medical Imaging, December, 2024

Novel Parallel Formulation for Iterative Reinforcement Learning Control.

Ding Wang, Jiangyu Wang, Lingzhi Hu, Liguo Zhang

IEEE Trans. Syst. Man Cybern. Syst., October, 2024

Model-free intelligent critic design with error analysis for neural tracking control.

Ning Gao, Ding Wang, Mingming Zhao, Lingzhi Hu

Neurocomputing, March, 2024

2023

SSELM-neg: spherical search-based extreme learning machine for drug-target interaction prediction.

Lingzhi Hu, Chengzhou Fu, Zhonglu Ren, Yongming Cai, Jin Yang, Siwen Xu, Wenhua Xu, Deyu Tang

BMC Bioinform., December, 2023

Adaptive Critic for Event-Triggered Unknown Nonlinear Optimal Tracking Design With Wastewater Treatment Applications.

Ding Wang, Lingzhi Hu, Mingming Zhao, Junfei Qiao

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

Discounted Near-Optimal Control of Affine Systems via a Progressive Cost Evolution Formulation.

Ding Wang, Junlong Wu, Lingzhi Hu, Junfei Qiao

IEEE Trans. Circuits Syst. II Express Briefs, April, 2023

Dual Event-Triggered Constrained Control Through Adaptive Critic for Discrete-Time Zero-Sum Games.

Ding Wang, Lingzhi Hu, Mingming Zhao, Junfei Qiao

IEEE Trans. Syst. Man Cybern. Syst., March, 2023

An event-triggered neural critic technique for nonzero-sum game design with control constraints.

Lingzhi Hu, Ding Wang, Jin Ren, Jiangyu Wang, Junfei Qiao

Int. J. Syst. Sci., January, 2023

Event-based online learning control design with eligibility trace for discrete-time unknown nonlinear systems.

Ding Wang, Jiangyu Wang, Lingzhi Hu, Mingming Zhao

Eng. Appl. Artif. Intell., 2023

Data-driven tracking control design with reinforcement learning involving a wastewater treatment application.

Ding Wang, Xin Li, Lingzhi Hu, Junfei Qiao

Eng. Appl. Artif. Intell., 2023

Tail Risk Association Network Based on the Logit-Lasso Vector Autoregressive Model.

Chunyan Zhao, Lingzhi Hu, Liang Wu

Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management, 2023

2022

Memetic quantum optimization algorithm with levy flight for high dimension function optimization.

Jin Yang, Yongming Cai, Deyu Tang, Wei Chen, Lingzhi Hu

Appl. Intell., 2022

Locally Geometry-Aware Improvements of LOP for Efficient Skeleton Extraction.

Xianyong Fang, Lingzhi Hu, Fan Ye, Linbo Wang

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

2021

The theoretical research of generative adversarial networks: an overview.

Yanchun Li, Qiuzhen Wang, Jie Zhang, Lingzhi Hu, Wanli Ouyang

Neurocomputing, 2021

Adaptive-critic-based hybrid intelligent optimal tracking for a class of nonlinear discrete-time systems.

Ding Wang, Mingming Zhao, Mingming Ha, Lingzhi Hu

Eng. Appl. Artif. Intell., 2021

Event-Triggered Intelligent Critic Design for Constrained Nonaffine Nonzero-Sum Games.

Lingzhi Hu, Ding Wang, Ning Gao, Mingming Zhao

Proceedings of the ICRAI 2021: 7th International Conference on Robotics and Artificial Intelligence, Guangzhou, China, November 19, 2021

2019

Image classification toward breast cancer using deeply-learned quality features.

Yan Fang, Jing Zhao, Lingzhi Hu, Xiaoping Ying, Yanfang Pan, Xiaoping Wang

J. Vis. Commun. Image Represent., 2019

2017

Affinity and Penalty Jointly Constrained Spectral Clustering With All-Compatibility, Flexibility, and Robustness.

Pengjiang Qian, Yizhang Jiang, Shitong Wang, Kuan-Hao Su, Jun Wang, Lingzhi Hu, Raymond F. Muzic Jr.

IEEE Trans. Neural Networks Learn. Syst., 2017

2016

Cluster Prototypes and Fuzzy Memberships Jointly Leveraged Cross-Domain Maximum Entropy Clustering.

Pengjiang Qian, Yizhang Jiang, Zhaohong Deng, Lingzhi Hu, Shouwei Sun, Shitong Wang, Raymond F. Muzic Jr.

IEEE Trans. Cybern., 2016