8 papers
Channel-Oriented Design for EEG-to-Music Reconstruction
Jiaxin Qing, Junwei Lu, Lexin Li
Brain-computer interfaces aim to decode naturalistic stimuli from neural signals, yet most progress to date has focused on vision and language. In this article, we study a more cha…
Dive into Waves: Morlet Spectral Transformer for Cross-Subject Emotion Decoding from EEG
Jiaxin Qing, Lexin Li
We study cross-subject emotion recognition from EEG, a practically important yet challenging problem in brain-computer interfaces. Unlike tasks with clear waveform signatures, emot…
Robust Learning of Heterogeneous Dynamic Systems
Shuoxun Xu, Zijian Guo, Brooke R. Staveland +2
Ordinary differential equations (ODEs) provide a powerful framework for modeling dynamic systems arising in a wide range of scientific domains. However, most existing ODE methods f…
Statistical Learning for Latent Embedding Alignment with Application to Brain Encoding and Decoding
Shuoxun Xu, Zhanhao Yan, Lexin Li
Brain encoding and decoding aims to understand the relationship between external stimuli and brain activities, and is a fundamental problem in neuroscience. In this article, we stu…
Residual Feature Integration is Sufficient to Prevent Negative Transfer
Yichen Xu, Ryumei Nakada, Linjun Zhang +1
Transfer learning has become a central paradigm in modern machine learning, yet it suffers from the long-standing problem of negative transfer, where leveraging source representati…
Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalance
Ryumei Nakada, Yichen Xu, Lexin Li +1
Imbalanced classification and spurious correlation are common challenges in data science and machine learning. Both issues are linked to data imbalance, with certain groups of data…