Author

Nanshan Jia

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Open access Aug 2026

Learning to Simulate from Heavy-Tailed Distribution via Diffusion Model

Generative AI Learns to Sample Extreme Events Many rarest events often carry highest stakes, such as a market crash, a supply-chain rupture, or an extreme clinical outcome. Today’s leading generative AI models (e.g., diffusion models) have shown excessive power to simulate high-dimensional distributions, but they are...

Haoyu Liu, Tingyu Zhu, Nanshan Jia et al. · Operational Research · 5 citations

Review Jul 2026

3D-DefectBench: A Controlled Factorial Study of Vision-Language Model Evaluation Pipelines for Fine-Grained 3D Generation Defects

3D-DefectBench is introduced, a benchmark and framework for systematic analysis of VLM-based 3D defect detection pipelines, and finds that automated judges should be evaluated as complete pipelines and calibrated across human reference regimes, rather than benchmarked only as standalone models.

Zhenyu Zhao, Nanshan Jia, Jihyeon Je et al. · arXiv.org · 0 citations