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2020 – today
- 2024
[j8]Changhong Jing, Hongzhi Kuai
, Hiroki Matsumoto, Tomoharu Yamaguchi, Iman Yi Liao, Shuqiang Wang:
Addiction-related brain networks identification via Graph Diffusion Reconstruction Network. Brain Informatics 11(1): 1 (2024)- [j7]Hongzhi Kuai, Xiaohui Tao:
20 years of Web Intelligence: Call for a new era of AI in the Connected World. Web Intell. 22(1): 1-4 (2024) - 2023
- [j6]Hongzhi Kuai, Xiaohui Tao, Ning Zhong:
Thinking space generation using context-enhanced knowledge fusion for systematic brain computing. Web Intell. 21(4): 345-361 (2023) - [c8]Yu Cao, Hongzhi Kuai, Ning Zhong, Bixin Wang, Fengmei Fan, Jianzhuo Yan:
NetFeatures-Transformer: Enhancing Brain Network Features to Classify Alzheimer's Disease. WI/IAT 2023: 503-507 - [e1]Feng Liu, Yu Zhang, Hongzhi Kuai, Emily P. Stephen, Hongjun Wang:
Brain Informatics - 16th International Conference, BI 2023, Hoboken, NJ, USA, August 1-3, 2023, Proceedings. Lecture Notes in Computer Science 13974, Springer 2023, ISBN 978-3-031-43074-9 [contents] - 2022
- [j5]Hongzhi Kuai, Xiaohui Tao, Ning Zhong:
Web Intelligence meets Brain Informatics: Towards the future of artificial intelligence in the connected world. World Wide Web 25(3): 1223-1241 (2022) - [c7]Yu Cao, Hongzhi Kuai, Guanqiao Peng:
Enhancing the MR Neuroimaging by Using the Deep Super-Resolution Reconstruction. BI 2022: 184-194 - 2021
- [j4]Hongzhi Kuai, Ning Zhong, Jianhui Chen, Yang Yang, Xiaofei Zhang, Peipeng Liang, Kazuyuki Imamura, Lianfang Ma, Haiyuan Wang:
Multi-source brain computing with systematic fusion for smart health. Inf. Fusion 75: 150-167 (2021) - [c6]Hongzhi Kuai, Jianhui Chen, Xiaohui Tao, Kazuyuki Imamura, Peipeng Liang, Ning Zhong:
Exploring the Brain Information Processing Mechanisms from Functional Connectivity to Translational Applications. BI 2021: 99-111 - 2020
- [j3]Hongzhi Kuai, Xiaofei Zhang, Yang Yang, Jianhui Chen, Bin Shi, Ning Zhong:
THINKING-LOOP: The Semantic Vector Driven Closed-Loop Model for Brain Computing. IEEE Access 8: 4273-4288 (2020) - [j2]Hongzhi Kuai, Ning Zhong:
The extensible Data-Brain model: Architecture, applications and directions. J. Comput. Sci. 46: 101103 (2020)
2010 – 2019
- 2019
- [j1]Jianzhuo Yan, Hongzhi Kuai, Jianhui Chen, Ning Zhong:
Analyzing Emotional Oscillatory Brain Network for Valence and Arousal-Based Emotion Recognition Using EEG Data. Int. J. Inf. Technol. Decis. Mak. 18(4): 1359-1378 (2019) - [c5]Xiaofei Zhang, Ruohao Liu, Jiajin Huang, Yang Yang, Hongzhi Kuai, Ning Zhong:
Connectivity Shifted Cerebral Regions as Seeds for Mental Arithmetic Cognitive State Classification. AIAM (IEEE) 2019: 364-369 - [c4]Hongzhi Kuai, Yang Yang, Jianhui Chen, Xiaofei Zhang, Jianzhuo Yan, Ning Zhong:
Specificity Analysis of Picture-Induced Emotional EEG for Discrimination Between Schizophrenic and Control Participants. BI 2019: 169-178 - 2017
- [c3]Hongzhi Kuai, Hongxia Xu, Jianzhuo Yan:
Emotion Recognition from EEG Using Rhythm Synchronization Patterns with Joint Time-Frequency-Space Correlation. BI 2017: 159-168 - [c2]Hongzhi Kuai, Jianzhuo Yan, Jianhui Chen, Yongchuan Yu, Haiyuan Wang, Ning Zhong:
A knowledge-driven approach for personalized literature recommendation based on deep semantic discrimination. WI 2017: 1253-1259 - 2016
- [c1]Wenjin Sheng, Hongxia Xu, Jianzhuo Yan, Jianhui Chen, Bin Shi, Dongsheng Wang, Hongzhi Kuai, Ningning Wang:
A Domain-Driven Literature Retrieval Method for Systematic Brain Informatics. BIH 2016: 181-189
Coauthor Index
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last updated on 2024-08-05 20:19 CEST by the dblp team
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