Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Song, Yonghao"'
Autor:
Guo, Zhanqiang, Wu, Jiamin, Song, Yonghao, Bu, Jiahui, Mai, Weijian, Zheng, Qihao, Ouyang, Wanli, Song, Chunfeng
Human's perception of the visual world is shaped by the stereo processing of 3D information. Understanding how the brain perceives and processes 3D visual stimuli in the real world has been a longstanding endeavor in neuroscience. Towards this goal,
Externí odkaz:
http://arxiv.org/abs/2411.12248
Autor:
Miao, Yining, Shi, Nanlin, Huang, Changxing, Song, Yonghao, Chen, Xiaogang, Wang, Yijun, Gao, Xiaorong
The ultimate goal of brain-computer interfaces (BCIs) based on visual modulation paradigms is to achieve high-speed performance without the burden of extensive calibration. Code-modulated visual evoked potential-based BCIs (cVEP-BCIs) modulated by br
Externí odkaz:
http://arxiv.org/abs/2311.11596
Electroencephalography (EEG) signals, known for convenient non-invasive acquisition but low signal-to-noise ratio, have recently gained substantial attention due to the potential to decode natural images. This paper presents a self-supervised framewo
Externí odkaz:
http://arxiv.org/abs/2308.13234
Autor:
Shi, Nanlin, Miao, Yining, Huang, Changxing, Li, Xiang, Song, Yonghao, Chen, Xiaogang, Wang, Yijun, Gao, Xiaorong
The mission of visual brain-computer interfaces (BCIs) is to enhance information transfer rate (ITR) to reach high speed towards real-life communication. Despite notable progress, noninvasive visual BCIs have encountered a plateau in ITRs, leaving it
Externí odkaz:
http://arxiv.org/abs/2308.13232
Autor:
Miao, Yining, Shi, Nanlin, Huang, Changxing, Song, Yonghao, Chen, Xiaogang, Wang, Yijun, Gao, Xiaorong
Publikováno v:
In Expert Systems With Applications 1 September 2024 249 Part B
Publikováno v:
In Expert Systems With Applications 1 February 2025 261
Autor:
Fan, Cailing, Wei, Liangchen, Limeng, Yongwei, Li, Yumeng, Zheng, Mingyue, Song, Yonghao, Shu, Wei, Zeng, Chaoyuan
Publikováno v:
In Food Chemistry 15 January 2025 463 Part 2
Open-domain dialogue generation in natural language processing (NLP) is by default a pure-language task, which aims to satisfy human need for daily communication on open-ended topics by producing related and informative responses. In this paper, we p
Externí odkaz:
http://arxiv.org/abs/2109.05778
Most sequential recommendation models capture the features of consecutive items in a user-item interaction history. Though effective, their representation expressiveness is still hindered by the sparse learning signals. As a result, the sequential re
Externí odkaz:
http://arxiv.org/abs/2106.14031
At present, people usually use some methods based on convolutional neural networks (CNNs) for Electroencephalograph (EEG) decoding. However, CNNs have limitations in perceiving global dependencies, which is not adequate for common EEG paradigms with
Externí odkaz:
http://arxiv.org/abs/2106.11170