no code implementations • 2 Feb 2024 • Chenyu Liu, Xinliang Zhou, Yihao Wu, Ruizhi Yang, Liming Zhai, Ziyu Jia, Yang Liu
Besides, there is neither a comprehensive review nor guidance for constructing GNNs in EEG-based emotion recognition.
1 code implementation • 31 Jan 2024 • Maoyuan Ye, Jing Zhang, Juhua Liu, Chenyu Liu, BaoCai Yin, Cong Liu, Bo Du, DaCheng Tao
In terms of the AMG mode, Hi-SAM segments text stroke foreground masks initially, then samples foreground points for hierarchical text mask generation and achieves layout analysis in passing.
Ranked #1 on Hierarchical Text Segmentation on HierText
no code implementations • 31 Dec 2023 • Hanbo Cheng, Chenyu Liu, Pengfei Hu, Zhenrong Zhang, Jiefeng Ma, Jun Du
The Handwritten Mathematical Expression Recognition (HMER) task is a critical branch in the field of OCR.
no code implementations • 5 Nov 2023 • Chenyu Liu, Yong Jin Kweon, Jun Ding
Despite the breakthroughs in biomarker discovery facilitated by differential gene analysis, challenges remain, particularly at the single-cell level.
1 code implementation • 22 Oct 2023 • Wei Lou, Xinyi Yu, Chenyu Liu, Xiang Wan, Guanbin Li, SiQi Liu, Haofeng Li
Afterward, we train a separate segmentation model for each category using the images in the corresponding category.
no code implementations • 17 May 2023 • Chenyu Liu, Xinliang Zhou, Yang Liu
Recently Transformer and Convolution neural network (CNN) based models have shown promising results in EEG signal processing.
no code implementations • 16 May 2023 • Xinliang Zhou, Chenyu Liu, Jiaping Xiao, Yang Liu
Specifically, we propose a well-designed spatio-temporal attention mechanism to adaptively assign weights to inter-channels and intra-channel EEG segments based on the spatio-temporal relationship of the brain during different sleep stages.
no code implementations • 26 Apr 2023 • Xinliang Zhou, Dan Lin, Ziyu Jia, Jiaping Xiao, Chenyu Liu, Liming Zhai, Yang Liu
However, the raw EEG data is inherently noisy and redundant, which is neglected by existing works that just use single-channel EEG data or full-head channel EEG data for model training, resulting in limited performance of driver drowsiness detection.
no code implementations • 21 Apr 2023 • Xinliang Zhou, Chenyu Liu, Liming Zhai, Ziyu Jia, Cuntai Guan, Yang Liu
In this paper, we present the first comprehensive survey and summarize the interpretable and robust AI techniques for EEG systems.
no code implementations • 2 Sep 2022 • Jinshui Hu, Chenyu Liu, Qiandong Yan, Xuyang Zhu, Jiajia Wu, Jun Du, LiRong Dai
However, in real-world scenarios, out-of-vocabulary (OOV) words are of great importance and SOTA recognition models usually perform poorly on OOV settings.
no code implementations • 29 Sep 2021 • Chenyu Liu, Jia Li, Junxian Duan, Huaibo Huang
The first is that capturing the general clue of artifacts is difficult.
no code implementations • 7 Jun 2021 • Chenyu Liu, Yan Zhang, Yi Shen, Michael M. Zavlanos
We assume that this context is not accessible to a learner agent who can only observe the expert data.
no code implementations • 29 Oct 2020 • Chenyu Liu, Wangbin Ding, Lei LI, Zhen Zhang, Chenhao Pei, Liqin Huang, Xiahai Zhuang
Considering that multi-modal MR images can reflect different tumor biological properties, we develop a novel multi-modal tumor segmentation network (MMTSN) to robustly segment brain tumors based on multi-modal MR images.
1 code implementation • 13 Aug 2020 • Zhen Zhang, Chenyu Liu, Wangbin Ding, Sihan Wang, Chenhao Pei, Mingjing Yang, Liqin Huang
The PRSN is designed to segment pathological region based on the result of ASSN, in which a fusion block based on channel attention is proposed to better aggregate multi-modality information from multi-modality CMR images.