  This paper describes our submission to the fourth Affective Behavior Analysis
(ABAW) competition. We proposed a hybrid CNN-Transformer model for the
Multi-Task-Learning (MTL) and Learning from Synthetic Data (LSD) task.
Experimental results on validation dataset shows that our method achieves
better performance than baseline model, which verifies that the effectiveness
of proposed network.
