Hongzhi Kuai

According to our database, Hongzhi Kuai authored at least 16 papers between 2016 and 2024.

Collaborative distances:

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

2024

Addiction-related brain networks identification via Graph Diffusion Reconstruction Network.

Changhong Jing, Hongzhi Kuai, Hiroki Matsumoto, Tomoharu Yamaguchi, Iman Yi Liao, Shuqiang Wang

Brain Informatics, December, 2024

20 years of Web Intelligence: Call for a new era of AI in the Connected World.

Hongzhi Kuai, Xiaohui Tao

Web Intell., 2024

2023

Thinking space generation using context-enhanced knowledge fusion for systematic brain computing.

Hongzhi Kuai, Xiaohui Tao, Ning Zhong

Web Intell., 2023

NetFeatures-Transformer: Enhancing Brain Network Features to Classify Alzheimer's Disease.

Yu Cao, Hongzhi Kuai, Ning Zhong, Bixin Wang, Fengmei Fan, Jianzhuo Yan

Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023

2022

Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world.

Hongzhi Kuai, Xiaohui Tao, Ning Zhong

World Wide Web, 2022

Enhancing the MR Neuroimaging by Using the Deep Super-Resolution Reconstruction.

Yu Cao, Hongzhi Kuai, Guanqiao Peng

Proceedings of the Brain Informatics - 15th International Conference, 2022

2021

Multi-source brain computing with systematic fusion for smart health.

Hongzhi Kuai, Ning Zhong, Jianhui Chen, Yang Yang, Xiaofei Zhang, Peipeng Liang, Kazuyuki Imamura, Lianfang Ma, Haiyuan Wang

Inf. Fusion, 2021

Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications.

Hongzhi Kuai, Jianhui Chen, Xiaohui Tao, Kazuyuki Imamura, Peipeng Liang, Ning Zhong

Proceedings of the Brain Informatics - 14th International Conference, 2021

2020

The extensible Data-Brain model: Architecture, applications and directions.

Hongzhi Kuai, Ning Zhong

J. Comput. Sci., 2020

THINKING-LOOP: The Semantic Vector Driven Closed-Loop Model for Brain Computing.

Hongzhi Kuai, Xiaofei Zhang, Yang Yang, Jianhui Chen, Bin Shi, Ning Zhong

IEEE Access, 2020

2019

Analyzing Emotional Oscillatory Brain Network for Valence and Arousal-Based Emotion Recognition Using EEG Data.

Jianzhuo Yan, Hongzhi Kuai, Jianhui Chen, Ning Zhong

Int. J. Inf. Technol. Decis. Mak., 2019

Specificity Analysis of Picture-Induced Emotional EEG for Discrimination Between Schizophrenic and Control Participants.

Hongzhi Kuai, Yang Yang, Jianhui Chen, Xiaofei Zhang, Jianzhuo Yan, Ning Zhong

Proceedings of the Brain Informatics - 12th International Conference, 2019

Connectivity Shifted Cerebral Regions as Seeds for Mental Arithmetic Cognitive State Classification.

Xiaofei Zhang, Ruohao Liu, Jiajin Huang, Yang Yang, Hongzhi Kuai, Ning Zhong

Proceedings of the International Conference on Artificial Intelligence and Advanced Manufacturing, 2019

2017

A knowledge-driven approach for personalized literature recommendation based on deep semantic discrimination.

Hongzhi Kuai, Jianzhuo Yan, Jianhui Chen, Yongchuan Yu, Haiyuan Wang, Ning Zhong

Proceedings of the International Conference on Web Intelligence, 2017

Emotion Recognition from EEG Using Rhythm Synchronization Patterns with Joint Time-Frequency-Space Correlation.

Hongzhi Kuai, Hongxia Xu, Jianzhuo Yan

Proceedings of the Brain Informatics - International Conference, 2017

2016

A Domain-Driven Literature Retrieval Method for Systematic Brain Informatics.

Wenjin Sheng, Hongxia Xu, Jianzhuo Yan, Jianhui Chen, Bin Shi, Dongsheng Wang, Hongzhi Kuai, Ningning Wang

Proceedings of the Brain Informatics and Health - International Conference, 2016