Author

Fan Yang

2 papers indexed here

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Open access Oct 2026

DeepD enables efficient genome modeling and controllable long-context sequence generation across domains of life

Together, DeepD is an efficient genome foundation model that unifies accurate sequence-to-function prediction with controllable genome-scale generation, advancing predictive and generative design of complex genomes.

Bei-Bei Xin, Zi-Jian Wang, An Yu et al. · bioRxiv · 0 citations

#machine learning Preprint Sep 2026

Tool-Augmented On-Policy Distillation for LLM Domain Adaptation in Sequence-Based Omics Tasks

This work introduces OmicsBench, the first reasoning benchmark for multi-omics sequences, and tool-augmented on-policy distillation (TA-OPD), a post-training method to align sequence prediction with evidence-grounded biological reasoning.

Jie Ying, Zhe-Fan Wang, Zi-Hong Chen et al. · 0 citations