Author

Philip H. Lee

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Preprint Sep 2026

AFA-Net: A Differential Attention Approach for Auditory Attention Detection

AFA-Net is among the first frameworks to explicitly try to combat EEG noise to improve AAD, a machine learning framework that replaces vanilla attention with a simple yet flexible differential attention mechanism to help focus on task-relevant neural activity.

Philip H. Lee, Shreeram Suresh Chandra, Karan Thakkar et al. · 0 citations

#machine learning Preprint Sep 2026

Differential Attention Unlocks Complementary EEG and Speech Fusion for Emotion Recognition

Multimodal emotion recognition (MER) increasingly pairs EEG with speech, treating internal neural signals and external vocal expression as informative views of affect. In practice, naive fusion underperforms the stronger single modality, because EEG artifacts inject noise that corrupts the shared representation. We int...

Philip H. Lee, Shreeram Suresh Chandra, John H. L. Hansen · 0 citations