8 citations · 11 across the 5 of their papers we have counts for
5 papers
Towards Causal Relationship in Indefinite Data: Baseline Model and New Datasets
Hang Chen, Xinyu Yang, Keqing Du
Integrating deep learning and causal discovery has encouraged us to spot that learning causal structures and representations in dialogue and video is full of challenges. We defined…
A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations
Hang Chen, Keqing Du, Chenguang Li +1
The fusion of causal models with deep learning introducing increasingly intricate data sets, such as the causal associations within images or between textual components, has surfac…
CASR: Refining Action Segmentation via Marginalizing Frame-levle Causal Relationships
Keqing Du, Xinyu Yang, Hang Chen
Integrating deep learning and causal discovery has increased the interpretability of Temporal Action Segmentation (TAS) tasks. However, frame-level causal relationships exist many…
SSL Framework for Causal Inconsistency between Structures and Representations
Hang Chen, Xinyu Yang, Keqing Du +1
The cross-pollination between causal discovery and deep learning has led to increasingly extensive interactions. It results in a large number of deep learning data types (such as i…
A Review and Roadmap of Deep Learning Causal Discovery in Different Variable Paradigms
Hang Chen, Keqing Du, Xinyu Yang +1
Understanding causality helps to structure interventions to achieve specific goals and enables predictions under interventions. With the growing importance of learning causal relat…