Author

Jack Yang

h-index 0 View on Semantic Scholar

We have 2 of 2 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Conference Open access Sep 2026

Disentangled Graph-Enhanced Large Language Models for Fair Learning

FairGEnt, a disentangled graph-enhanced large language model for fair graph learning, separates sensitive-related and sensitive-invariant factors in both graph and textual representations to mitigate bias while preserving task-relevant information, and further aligns the two modalities through a fairness-aware integrat...

Zhi-Peng Yin, Zi-Chong Wang, Zhong Chen et al. · Proceedings of the Thirty-Fi... · 5 citations

Conference Open access Sep 2026

Learning Counterfactual Fairness from Authentic Generation

Graph Counterfactual Fairness (GCFair), a novel framework that achieves counterfactual fairness by explicitly identifying and disentangling the subsets of node features and graph structures genuinely affected by sensitive attributes, is proposed.

Zi-Chong Wang, Zhi-Peng Yin, Zhong Chen et al. · Proceedings of the Thirty-Fi... · 3 citations