Haotian Wu

Not every missing modality needs to be repaired for optimal sentiment analysis, and SIEVE learns to make this decision dynamically at the sample level.

Reconstructing 3D facial features from 2D images significantly boosts deepfake detection, achieving state-of-the-art performance and robustness.

Forget retraining: ACE-Merging unlocks state-of-the-art model merging by cleverly estimating task covariance from parameter differences alone.