الباحثون

Xianyong Fang

المنشورات 2

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RNA Design via Conditioned Flow Matching and Finite-Policy Reinforcement Learning

Zefeng Lin, Xianyong Fang, Tianfan Fu وآخرون · 2026

RNA design aims to identify sequences that fold into specified secondary structures. Existing methods formulate the task as target-specific search or conditional generation. However, natural RNA evolution proceeds through sequence variation and selection, with compensatory substitutions, whereas these methods do not ex …

نسخة أولية وصول مفتوح

Feedback-Calibrated Protein Optimization with Batch-Aligned Tail Arbitration

Zefeng Lin, Xianyong Fang, Tianfan Fu وآخرون · 2026

Protein optimization aims to discover high-fitness sequences under a limited experimental budget. Existing machine-learning methods use task-specific predictors, biological priors, or ranking-aware objectives to guide which variants are tested in the next experimental round. However, these methods cannot adapt to shift …

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