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Chang Sun

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#artificial intelligence Preprint Oct 2026

RINO: Renormalization Group Distillation with No Labels

RINO (Renormalization Group DIstillation with NO Labels) is proposed, which exploits the fundamentally multi-scale renormalization group structure of high-energy jet formation as a physically grounded source of SSL views and defines teacher-student representations across energy scales using different levels of hierarch...

Zichun Hao, R. Kansal, A. Gandrakota et al. · 0 citations
Conference Open access Aug 2026

FQTree: Fine-Grained Quantization and Hardware Generation of Boosted Decision Trees

This work presents the FQTree algorithm for fine-grained quantization-aware training of BDTs, together with the QXGB framework for automatic hardware generation, and applies this quantization during boosting so that later trees adapt to the errors of the already-quantized ensemble.

Zhi-Qiang Que, Chang Sun, Haiyan Wang et al. · 0 citations

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