Hengyu Yue — accepted AI-conference papers

2026

BAMFair: Barycenter Aligned Mediation for Fairness Across Multiple Sensitive Attributes

Hengyu Yue, Fan Wang, Weiming Liu, Yuwen Liu, Lianyong Qi, Haolong Xiang +4

IJCAI 2026

Achieving fairness in machine learning models while maintaining high accuracy is an important but complex task, especially when handling multiple sensitive attributes. Traditional fairness methods often struggle to eliminate bias within subgroups divided by sensitive attributes. Several key challeng

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2026

Spiked-CFR: Causal Representation Learning from LLMs via Wasserstein Projection Pursuit

Fan Wang, Hengyu Yue, Yu Bowen, Weiming Liu, Zongxin Yang, Xuyun Zhang +3

ICML 2026poster

Estimating treatment effects from observational text is increasingly practical with Large Language Models (LLMs). However, applying causal representation learning directly to high-dimensional LLM embeddings faces a fundamental barrier: empirical Wasserstein matching suffers from the curse of dimensi…

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