activity
20242026
most citedVCWorld: A Biological World Model for Virtual Cell Simulation

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

collaborators

5 papers

cs.AI2026

Learning from Unverified Peers via Shared Residual Distillation

Feiyang Chen, Runze Ma, Zichen Wang +4

A language model can generate several solutions to the same problem, some leading to correct answers and others to incorrect ones. Many post-training methods turn these trajectorie…

q-bio.BM2026

Antigen-specific Antibody Multi-modal Foundation Model for Functional Antibody Design

Xiaoliang Shi, Zichen Wang, Runze Ma +2

Antibodies are essential proteins that play a central role in immune recognition by binding specific antigen molecules. Although recent protein language models have enabled progres…

q-bio.CB2025★ 2 cited

VCWorld: A Biological World Model for Virtual Cell Simulation

Zhijian Wei, Runze Ma, Zichen Wang +3

Virtual cell modeling aims to predict cellular responses to perturbations. Existing virtual cell models rely heavily on large-scale single-cell datasets, learning explicit mappings…

q-bio.BM2025

RiboFlow: Conditional De Novo RNA Co-Design via Synergistic Flow Matching

Runze Ma, Zhongyue Zhang, Zichen Wang +4

Ribonucleic acid (RNA) binds to molecules to achieve specific biological functions. While generative models are advancing biomolecule design, existing methods for designing RNA tha…

cs.AI2024★ 1 cited

Retrieval Augmented Diffusion Model for Structure-informed Antibody Design and Optimization

Zichen Wang, Yaokun Ji, Jianing Tian +1

Antibodies are essential proteins responsible for immune responses in organisms, capable of specifically recognizing antigen molecules of pathogens. Recent advances in generative m…