Shanshan Huang

Enhanced Story Representation by ConceptNet for Predicting Story Endings

2020

Predicting endings for narrative stories is a grand challenge for machine commonsense reasoning. The task requires ac- curate representation of the story semantics and structured logic knowledge. Pre-trained language models, such as BERT, made progress …

Visual Representation Learning through Causal Intervention for Controllable Image Editing

2025

A key challenge for controllable image editing is that visual attributes with semantic meanings are not always independent, resulting in spurious correlations in model training. However, most existing methods ignore such issues, leading to biased …