Kevin K. Yang

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 14

Top Topics

Protein Structure

Subcellular Localization

Monte Carlo Sampling

Generative Model

Top Venues

PLoS Comput. Biol.

Publications

Ava P. Amini, Kevin K. Yang
From noise to protein with image models. Nat. Comput. Sci. 3 (5) (2023)
Carolina Rios-Martinez, Nicholas Bhattacharya, Ava P. Amini, Lorin Crawford, Kevin K. Yang
Deep self-supervised learning for biosynthetic gene cluster detection and product classification. PLoS Comput. Biol. 19 (5) (2023)
Wai-Shing Tang, Gabriel Monteiro da Silva, Henry Kirveslahti, Erin Skeens, Bibo Feng, Timothy Sudijono, Kevin K. Yang, Sayan Mukherjee, Brenda Rubenstein, Lorin Crawford
A topological data analytic approach for discovering biophysical signatures in protein dynamics. PLoS Comput. Biol. 18 (5) (2022)
Samuel Goldman, Ria Das, Kevin K. Yang, Connor W. Coley
Machine learning modeling of family wide enzyme-substrate specificity screens. PLoS Comput. Biol. 18 (2) (2022)
Mingyang Hu, Fajie Yuan, Kevin K. Yang, Fusong Ju, Jin Su, Hui Wang, Fei Yang, Qiuyang Ding
Exploring evolution-based & -free protein language models as protein function predictors. CoRR (2022)
Kevin E. Wu, Kevin K. Yang, Rianne van den Berg, James Y. Zou, Alex X. Lu, Ava P. Amini
Protein structure generation via folding diffusion. CoRR (2022)
Samuel Goldman, Ria Das, Kevin K. Yang, Connor W. Coley
Machine learning modeling of family wide enzyme-substrate specificity screens. CoRR (2021)
Brian L. Hie, Kevin K. Yang
Adaptive machine learning for protein engineering. CoRR (2021)
Zachary Wu, Kadina E. Johnston, Frances H. Arnold, Kevin K. Yang
Protein sequence design with deep generative models. CoRR (2021)
Kevin K. Yang, Yuxin Chen, Alycia Lee, Yisong Yue
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design. CoRR (2019)
Kevin K. Yang, Yuxin Chen, Alycia Lee, Yisong Yue
Batched Stochastic Bayesian Optimization via Combinatorial Constraints Design. AISTATS (2019)
Kevin K. Yang, Zachary Wu, Claire N. Bedbrook, Frances H. Arnold
Learned protein embeddings for machine learning. Bioinform. 34 (15) (2018)
Kevin K. Yang, Zachary Wu, Claire N. Bedbrook, Frances H. Arnold
Learned protein embeddings for machine learning. Bioinform. 34 (23) (2018)
Claire N. Bedbrook, Kevin K. Yang, Austin J. Rice, Viviana Gradinaru, Frances H. Arnold
Machine learning to design integral membrane channelrhodopsins for efficient eukaryotic expression and plasma membrane localization. PLoS Comput. Biol. 13 (10) (2017)