no code implementations • Findings (NAACL) 2022 • Yaqing Wang, Xin Tian, Haoyi Xiong, Yueyang Li, Zeyu Chen, Sheng Guo, Dejing Dou
In this work, we show that Relation Graph augmented Learning (RGL) can improve the performance of few-shot natural language understanding tasks.
no code implementations • 31 Dec 2024 • Wenhao Dong, Yueyang Li, Weiming Zeng, Lei Chen, Hongjie Yan, Wai Ting Siok, Nizhuan Wang
Many existing methods that use functional magnetic resonance imaging (fMRI) classify brain disorders, such as autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD), often overlook the integration of spatial and temporal dependencies of the blood oxygen level-dependent (BOLD) signals, which may lead to inaccurate or imprecise classification results.
no code implementations • 23 Dec 2024 • Yueyang Li, Zijian Kang, Shengyu Gong, Wenhao Dong, Weiming Zeng, Hongjie Yan, Wai Ting Siok, Nizhuan Wang
Experimental results demonstrate significant improvements in visual decoding accuracy and model generalization compared to state-of-the-art methods, advancing the field of EEG-based neural visual representation decoding in BMI.
no code implementations • 30 Sep 2024 • Hongyu Chen, Weiming Zeng, Chengcheng Chen, Luhui Cai, Fei Wang, Yuhu Shi, Lei Wang, Wei zhang, Yueyang Li, Hongjie Yan, Wai Ting Siok, Nizhuan Wang
This paper presents the EEG Emotion Copilot, a system optimizing a lightweight large language model (LLM) with 0. 5B parameters operating in a local setting, which first recognizes emotional states directly from EEG signals, subsequently generates personalized diagnostic and treatment suggestions, and finally supports the automation of assisted electronic medical records.
no code implementations • 22 Sep 2024 • Yue Xiu, Yang Zhao, Songjie Yang, Minrui Xu, Dusit Niyato, Yueyang Li, Ning Wei
The increase in DoF enhances the system's anti-jamming capabilities and reduces system delay.
no code implementations • 20 Jul 2024 • Yueyang Li, Weiming Zeng, Wenhao Dong, Di Han, Lei Chen, Hongyu Chen, Hongjie Yan, Wai Ting Siok, Nizhuan Wang
Single-channel electroencephalogram (EEG) is a cost-effective, comfortable, and non-invasive method for monitoring brain activity, widely adopted by researchers, consumers, and clinicians.
1 code implementation • 3 Jul 2024 • Yueyang Li, Weiming Zeng, Wenhao Dong, Luhui Cai, Lei Wang, Hongyu Chen, Hongjie Yan, Lingbin Bian, Nizhuan Wang
However, many models either use graph neural networks (GNN) to construct single-level brain functional networks (BFNs) or employ spatial convolution filtering for local information extraction from rs-fMRI data, often neglecting high-order features crucial for NDD classification.
no code implementations • 21 Jun 2024 • Hongyu Chen, Weiming Zeng, Luhui Cai, Lei Wang, Jia Lu, Yueyang Li, Hongjie Yan, Wai Ting Siok, Nizhuan Wang
The YOAS totally consists of four sequential stages: Data Preparation, Data Preprocessing, Biased-EEG Generation, and Synthetic EEG Generation.
1 code implementation • 20 Jun 2024 • Luhui Cai, Weiming Zeng, Hongyu Chen, Hua Zhang, Yueyang Li, Yu Feng, Hongjie Yan, Lingbin Bian, Wai Ting Siok, Nizhuan Wang
Graph deep learning (GDL) has demonstrated impressive performance in predicting population-based brain disorders (BDs) through the integration of both imaging and non-imaging data.
no code implementations • 12 Nov 2023 • Chenyang Bi, Yueyang Li, Haichi Luo
Unsupervised anomaly detection methods are at the forefront of industrial anomaly detection efforts and have made notable progress.
no code implementations • 12 Nov 2023 • Shunfeng Wang, Yueyang Li, Haichi Luo, Chenyang Bi
While these unsupervised anomaly detection methods offer convenience, they also overlook the crucial prior information embedded within anomalous samples.
no code implementations • 16 Sep 2023 • Yueyang Li, Yonghong Hou, Wanqing Li
Point-level weakly-supervised temporal action localization (PWTAL) aims to localize actions with only a single timestamp annotation for each action instance.
Pseudo Label
Weakly-supervised Temporal Action Localization
+1
no code implementations • 3 Jun 2023 • Dong Zhao, Yang Shi, Steven X. Ding, Yueyang Li, Fangzhou Fu
The replay attack detection problem is studied from a new perspective based on parity space method in this paper.
no code implementations • 13 Feb 2023 • Hui Wang, Yueyang Li, Haichi Luo
By eliminating unnecessary features and reconstructing the semantic relations among discriminative features, our SFI-Net has achieved satisfying performance.