1 citations · 1 across the 4 of their papers we have counts for
4 papers
Leveraging generative hallucination and biophysics-informed modeling for unified biomolecular sequence-structure co-design
Xuefeng Liu, Mingxuan Cao, Xiao Luo +5
Biomolecular design underpins applications from molecular recognition to therapeutics and synthetic biology, yet de novo interaction design remains challenging-especially for DNA/R…
Active-GRPO: Adaptive Imitation and Self-Improving Reasoning for Molecular Optimization
Xuefeng Liu, Mingxuan Cao, Qinan Huang +3
Scientific reasoning is an increasingly important capability of large language models, yet improving the robustness and efficiency of training such reasoning remains a key open cha…
Monte Carlo Tree Diffusion with Multiple Experts for Protein Design
Xuefeng Liu, Mingxuan Cao, Songhao Jiang +6
The goal of protein design is to generate amino acid sequences that fold into functional structures with desired properties. Prior methods combining autoregressive language models…
From Division to Unity: A Large-Scale Study on the Emergence of Computational Social Science, 1990-2021
Honglin Bao, Jiawei Zhang, Mingxuan Cao +1
We present a comprehensive study on the emergence of Computational Social Science (CSS) - an interdisciplinary field leveraging computational methods to address social science ques…