20 citations · 33 across the 9 of their papers we have counts for
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q-bio.QM2023★ 20 cited
Graph Denoising Diffusion for Inverse Protein Folding
Kai Yi, Bingxin Zhou, Yiqing Shen +2
Inverse protein folding is challenging due to its inherent one-to-many mapping characteristic, where numerous possible amino acid sequences can fold into a single, identical protei…
q-bio.QM2023★ 2 cited
Accurate and Definite Mutational Effect Prediction with Lightweight Equivariant Graph Neural Networks
Bingxin Zhou, Outongyi Lv, Kai Yi +4
Directed evolution as a widely-used engineering strategy faces obstacles in finding desired mutants from the massive size of candidate modifications. While deep learning methods le…
stat.ME2023
Adaptive Importance Sampling and Quasi-Monte Carlo Methods for 6G URLLC Systems
Xiongwen Ke, Houying Zhu, Kai Yi +3
In this paper, we propose an efficient simulation method based on adaptive importance sampling, which can automatically find the optimal proposal within the Gaussian family based o…