Yue Cao

According to our database, Yue Cao authored at least 7 papers between 2019 and 2022.

Collaborative distances:

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

2022

Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How.

Yuning You, Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

TALE: Transformer-based protein function Annotation with joint sequence-Label Embedding.

Yue Cao, Yang Shen

Bioinform., 2021

Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design.

Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

De Novo Protein Design for Novel Folds Using Guided Conditional Wasserstein Generative Adversarial Networks.

Mostafa Karimi, Shaowen Zhu, Yue Cao, Yang Shen

J. Chem. Inf. Model., 2020

2019

Energy-based Graph Convolutional Networks for Scoring Protein Docking Models.

Yue Cao, Yang Shen

CoRR, 2019

Bayesian active learning for optimization and uncertainty quantification in protein docking.

Yue Cao, Yang Shen

CoRR, 2019

Learning to Optimize in Swarms.

Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019