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fengji Li

2 accepted papers

2026

FIDIA: Function-Informed Sequence Design via Inference-Aligned Policy Optimization

ICML 2026spotlight

Computational protein design typically employs a sequential workflow of structure generation followed by sequence (re)design. While structure generators can be explicitly conditioned on functional objectives, inverse folding models are constrained by their function-agnostic nature and sequence-struc…

Cited by 0SourceScholar
2026

Plug-and-Play Guidance for Discrete Diffusion Models via Gradient-Informed Logit Correction

ICML 2026poster

Controllable generation with discrete diffusion models is often hindered by high computational overhead or the need for retraining. In this paper, we present Gradient-Informed Logit Correction (GILC), a plug-and-play framework that efficiently estimates guidance signals by repurposing the pretrained…

Cited by 0SourceScholar