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20232026
most citedHotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension

3 citations · 8 across the 12 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.LG2024

Gradient-Free Generation for Hard-Constrained Systems

Chaoran Cheng, Boran Han, Danielle C. Maddix +4

Generative models that satisfy hard constraints are critical in many scientific and engineering applications, where physical laws or system requirements must be strictly respected.…

cs.CV2024★ 1 cited

Geometric Point Attention Transformer for 3D Shape Reassembly

Jiahan Li, Chaoran Cheng, Jianzhu Ma +1

Shape assembly, which aims to reassemble separate parts into a complete object, has gained significant interest in recent years. Existing methods primarily rely on networks to pred…

q-bio.BM2024★ 3 cited

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension

Jiahan Li, Tong Chen, Shitong Luo +7

Peptides, short chains of amino acids, interact with target proteins, making them a unique class of protein-based therapeutics for treating human diseases. Recently, deep generativ…

q-bio.BM2024★ 2 cited

Full-Atom Peptide Design based on Multi-modal Flow Matching

Jiahan Li, Chaoran Cheng, Zuofan Wu +5

Peptides, short chains of amino acid residues, play a vital role in numerous biological processes by interacting with other target molecules, offering substantial potential in drug…

cs.LG2024

Categorical Flow Matching on Statistical Manifolds

Chaoran Cheng, Jiahan Li, Jian Peng +1

We introduce Statistical Flow Matching (SFM), a novel and mathematically rigorous flow-matching framework on the manifold of parameterized probability measures inspired by the resu…