Kevin K. Yang

According to our database, Kevin K. Yang authored at least 12 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Deep self-supervised learning for biosynthetic gene cluster detection and product classification.

Carolina Rios-Martinez, Nicholas Bhattacharya, Ava P. Amini, Lorin Crawford, Kevin K. Yang

PLoS Comput. Biol., 2023

From noise to protein with image models.

Ava P. Amini, Kevin K. Yang

Nat. Comput. Sci., 2023

2022

A topological data analytic approach for discovering biophysical signatures in protein dynamics.

Wai-Shing Tang, Gabriel Monteiro da Silva, Henry Kirveslahti, Erin Skeens, Bibo Feng, Timothy Sudijono, Kevin K. Yang, Sayan Mukherjee, Brenda M. Rubenstein, Lorin Crawford

PLoS Comput. Biol., 2022

Machine learning modeling of family wide enzyme-substrate specificity screens.

Samuel Goldman, Ria Das, Kevin K. Yang, Connor W. Coley

PLoS Comput. Biol., 2022

Protein structure generation via folding diffusion.

Kevin E. Wu, Kevin K. Yang, Rianne van den Berg, James Y. Zou, Alex X. Lu, Ava P. Amini

CoRR, 2022

Exploring evolution-based & -free protein language models as protein function predictors.

Mingyang Hu, Fajie Yuan, Kevin K. Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding

CoRR, 2022

2021

Adaptive machine learning for protein engineering.

Brian L. Hie, Kevin K. Yang

CoRR, 2021

Protein sequence design with deep generative models.

Zachary Wu, Kadina E. Johnston, Frances H. Arnold, Kevin K. Yang

CoRR, 2021

FLIP: Benchmark tasks in fitness landscape inference for proteins.

Christian Dallago, Jody Mou, Kadina E. Johnston, Bruce J. Wittmann, Nicholas Bhattacharya, Samuel Goldman, Ali Madani, Kevin K. Yang

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2019

Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design.

Kevin K. Yang, Yuxin Chen, Alycia Lee, Yisong Yue

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Learned protein embeddings for machine learning.

Kevin K. Yang, Zachary Wu, Claire N. Bedbrook, Frances H. Arnold

Bioinform., 2018

2017

Machine learning to design integral membrane channelrhodopsins for efficient eukaryotic expression and plasma membrane localization.

Claire N. Bedbrook, Kevin K. Yang, Austin J. Rice, Viviana Gradinaru, Frances H. Arnold

PLoS Comput. Biol., 2017