Xiaohan Xie — accepted AI-conference papers

2026

Automated Human Strategic Behavior Modeling via Large Language Models

Xiaohan Xie, Haoran Yu, Biying Shou, Jianwei Huang

AAAI 2026technical

What if machines could discover human behavioral patterns better than experts? Traditional behavioral modeling in economics depends on costly manual refinement by domain experts, severely limiting scalability and discovery potential. We introduce AutoBM, an automated behavioral modeling framework le

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2026

CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis

Yihang Xiao, Jinyi Liu, YAN ZHENG, Shaoqing Jiao, Jianye HAO, Xiaohan Xie +9

ICLR 2026poster

Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data analysis are pivotal for advancing biological research, enabling precise characterization of cellular heterogeneity. However, existing analysis approaches require extensive manual programming and complex tool integration, p…

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