Author

Maojun Sun

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#machine learning Preprint Sep 2026

When Does Dense Retrieval Need Asymmetric Geometry? A Bias-Variance Theory of Shared and Dual Projections

A bias-variance theory for low-rank bilinear scoring is introduced and a local Gaussian boundary is proved: dual has lower risk exactly when squared directional signal exceeds the estimation cost of its additional degrees of freedom.

Maojun Sun, Yan-Cheng Yuan, Jian Huang et al. · 0 citations

#artificial intelligence Preprint Aug 2026

AutoXRD: Autonomous LLM Agents and Comprehensive Evaluation for Powder Diffraction Analysis

AutomaticXRD is proposed, an autonomous large language model (LLM) agent framework that organizes powder-XRD analysis as stepwise refinement, grounds actions in observed evidence, and applies deterministic crystallographic and physical checks before accepting results.

Yue Wu, Maojun Sun · 1 citation · ⚡1