Author

Yi-Fan Sun

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Book Open access Aug 2026

HIVE: Hierarchical Generation of Integrated and Varied Ensembles for Efficient Out-of-Distribution Generalization

Out-of-distribution (OOD) generalization in industrial Model-as-a-Service (MaaS) systems is often hindered by a trilemma of heterogeneous distribution shifts, strict inference latency budgets, and rigorous privacy constraints. Traditional robust learning and emerging foundation models frequently struggle with the entan...

Qi Qin, Yuzhao Zhang, Jiaxing Han et al. · Proceedings of the 32nd ACM... · 0 citations

#machine learning Preprint Sep 2026

PACE: Plug-and-Play Contextual Embedding for Feature Screening with Pretrained Tabular Foundation Models

PACE (Plug-and-Play Contextual Embedding) inserts a frozen tabular foundation model (TFM) column encoder before an existing feature-scoring rule, expanding each feature into a higher-dimensional contextual representation, positioning pretrained column geometry as a reusable upstream primitive for tabular learning.

Qi Qin, Er-Bo Li, Ting Wei et al. · 0 citations

Preprint Aug 2026

GEAR: Generative Expansion and Real Anchoring for Two-Stage Distillation of Tabular Foundation Models

Tabular foundation models (TFMs) achieve strong performance through in-context learning, but context-dependent inference imposes substantial latency and memory costs, hindering large-scale deployment. We propose GEAR (\emph{Generative Expansion and Real Anchoring}), a modular two-stage framework that distills TFMs into...

Qi Qin, Jia-Jie Zhu, Dali Chen et al. · 1 citation