update BISP-L6.md

sections/2024/main/BISP-L6.md

@@ -49,4 +49,7 @@
 | Semantic Reconstruction of Continuous Language from MEG Signals | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10448281-E4A42C.svg)](https://ieeexplore.ieee.org/document/10448281) <br/> [![arXiv](https://img.shields.io/badge/arXiv-2309.07701-b31b1b.svg)](https://arxiv.org/abs/2309.07701) | :heavy_minus_sign: |
 | Joint Spatio-Temporal Filtering of Motion Imagery EEG Signals for Data Alignment in Transfer Learning | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10445838-E4A42C.svg)](https://ieeexplore.ieee.org/document/10445838) | :heavy_minus_sign: |
 | Enhancing Healthcare with EOG: A Novel Approach to Sleep Stage Classification | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10446703-E4A42C.svg)](https://ieeexplore.ieee.org/document/10446703) <br/> [![arXiv](https://img.shields.io/badge/arXiv-2310.03757-b31b1b.svg)](https://arxiv.org/abs/2310.03757) | :heavy_minus_sign: |
-| A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition | [![GitHub](https://img.shields.io/github/stars/muzixiang/SI-CLEER?style=flat)](https://github.com/muzixiang/SI-CLEER) | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447740-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447740) <br/> [![arXiv](https://img.shields.io/badge/arXiv-2405.07260-b31b1b.svg)](https://arxiv.org/abs/2405.07260) | :heavy_minus_sign: |
+| A Supervised Information Enhanced Multi-Granularity Contrastive Learning Framework for EEG Based Emotion Recognition | [![GitHub](https://img.shields.io/github/stars/muzixiang/SI-CLEER?style=flat)](https://github.com/muzixiang/SI-CLEER) | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447740-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447740) <br/> [![arXiv](https://img.shields.io/badge/arXiv-2405.07260-b31b1b.svg)](https://arxiv.org/abs/2405.07260) | :heavy_minus_sign: |
+| A DenseNet-Based Method for Decoding Auditory Spatial Attention with EEG | [![GitHub](https://img.shields.io/github/stars/xuxiran/ASAD_DenseNet?style=flat)](https://github.com/xuxiran/ASAD_DenseNet) | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10448013-E4A42C.svg)](https://ieeexplore.ieee.org/document/10448013) <br/> [![arXiv](https://img.shields.io/badge/arXiv-2309.07690-b31b1b.svg)](https://arxiv.org/abs/2309.07690) | :heavy_minus_sign: |
+| CEDNet: A Continuous Emotion Detection Network for Naturalistic Stimuli Using MEG Signals | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447779-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447779) | :heavy_minus_sign: |
+| A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447397-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447397) | :heavy_minus_sign: |