Xuehan Zhao — accepted AI-conference papers

2026

TriHAI: A Combination Enhanced Tri-Mode Deferral for Human-AI Team

Minhui Zhang, Xuehan Zhao, Xin Zhang, Jiaqi Liu, Zhiwen Yu, Bin Guo

IJCAI 2026

Learning to Defer operates by deferring AI-uncertain samples to humans, enabling the system to outperform either alone. Some works extend it by introducing human-AI combination to deferral. However, they remain limited to binary choices. Given that AI, humans, and human-AI combination are each indis

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2025

ActiveHAI: Active Collection Based Human-AI Diagnosis with Limited Expert Predictions

Xuehan Zhao, Jiaqi Liu, Xin Zhang, Zhiwen Yu, Bin Guo

IJCAI 2025

Recent studies indicate that human-AI collaboration performs better than either alone, particularly in medical diagnosis. Beyond collaboration methods that focus on assigning tasks to humans or AI, like deferral, combining human and AI decisions with their confidence scores is emerging as a promisin

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