14 citations · 28 across the 2 of their papers we have counts for
3 papers
cs.LG2021★ 14 cited
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
Yue Cao, Payel Das, Vijil Chenthamarakshan +3
Designing novel protein sequences for a desired 3D topological fold is a fundamental yet non-trivial task in protein engineering. Challenges exist due to the complex sequence--fold…
q-bio.BM2019
Energy-based Graph Convolutional Networks for Scoring Protein Docking Models
Yue Cao, Yang Shen
Structural information about protein-protein interactions, often missing at the interactome scale, is important for mechanistic understanding of cells and rational discovery of the…
cs.LG2019★ 14 cited
Learning to Optimize in Swarms
Yue Cao, Tianlong Chen, Zhangyang Wang +1
Learning to optimize has emerged as a powerful framework for various optimization and machine learning tasks. Current such "meta-optimizers" often learn in the space of continuous…