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ORCIDYue Cao 0010
Person information
- affiliation: Texas A&M University, Department of Electrical and Computer Engineering, College Station, TX, USA
Other persons with the same name
- Yue Cao — disambiguation page
- Yue Cao 0001
![[0000-0002-1679-0444]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1679-0444")
— Microsoft Research Asia, Beijing, China (and 1 more) - Yue Cao 0002 — Wuhan University, School of Cyber Science and Engineering, China (and 3 more)
- Yue Cao 0003 — University of California at Riverside, CA, USA
- Yue Cao 0004 — Central South University, School of Information Science and Engineering, Changsha, China (and 1 more)
- Yue Cao 0005 — Tsinghua University, Institute of Manufacturing Engineering, Department of Mechanical Engineering, State Key Laboratory of Tribology, Beijing, China
- Yue Cao 0006 — Peking University, MOE Key Laboratory of Computational Linguistics, Beijing, China
- Yue Cao 0007 — Purdue University, ARTLab, West Lafayette, IN, USA
- Yue Cao 0008 — Oregon State University, Corvallis, OR, USA (and 1 more)
- Yue Cao 0009 — Harbin Institute of Technology, School of Computer Science and Technology, Harbin, China
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2020 – today
- 2022
[c3]Yuning You, Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen:
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How. ICLR 2022- 2021
- [j2]Yue Cao, Yang Shen:
TALE: Transformer-based protein function Annotation with joint sequence-Label Embedding. Bioinform. 37(18): 2825-2833 (2021) - [c2]Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen:
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design. ICML 2021: 1261-1271 - [i4]Yue Cao, Payel Das, Vijil Chenthamarakshan, Pin-Yu Chen, Igor Melnyk, Yang Shen:
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design. CoRR abs/2106.13058 (2021) - 2020
- [j1]Mostafa Karimi, Shaowen Zhu, Yue Cao, Yang Shen:
De Novo Protein Design for Novel Folds Using Guided Conditional Wasserstein Generative Adversarial Networks. J. Chem. Inf. Model. 60(12): 5667-5681 (2020)
2010 – 2019
- 2019
- [c1]Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen:
Learning to Optimize in Swarms. NeurIPS 2019: 15018-15028 - [i3]Yue Cao, Yang Shen:
Bayesian active learning for optimization and uncertainty quantification in protein docking. CoRR abs/1902.00067 (2019) - [i2]Yue Cao, Tianlong Chen, Zhangyang Wang, Yang Shen:
Learning to Optimize in Swarms. CoRR abs/1911.03787 (2019) - [i1]Yue Cao, Yang Shen:
Energy-based Graph Convolutional Networks for Scoring Protein Docking Models. CoRR abs/1912.12476 (2019)
Coauthor Index
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