140 citations · 143 across the 5 of their papers we have counts for
5 papers
How Do Electrocardiogram Models Scale?
Jiawei Li, Fabio Bonassi, Ming Jin +4
While scaling laws have established a fundamental framework for foundation models in natural language processing, their applicability to electrocardiogram (ECG) models remains poor…
EvoFA: Evolvable Fast Adaptation for EEG Emotion Recognition
Ming Jin, Danni Zhang, Gangming Zhao +2
Electroencephalography (EEG)-based emotion recognition has gained significant traction due to its accuracy and objectivity. However, the non-stationary nature of EEG signals leads…
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition
Ming Jin, Enwei Zhu, Changde Du +2
Emotion recognition is essential in the diagnosis and rehabilitation of various mental diseases. In the last decade, electroencephalogram (EEG)-based emotion recognition has been i…
Recognizing Nested Entities from Flat Supervision: A New NER Subtask, Feasibility and Challenges
Enwei Zhu, Yiyang Liu, Ming Jin +1
Many recent named entity recognition (NER) studies criticize flat NER for its non-overlapping assumption, and switch to investigating nested NER. However, existing nested NER model…
MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition
Hao Chen, Ming Jin, Zhunan Li +3
As an essential element for the diagnosis and rehabilitation of psychiatric disorders, the electroencephalogram (EEG) based emotion recognition has achieved significant progress du…