Yang Shen
Orcid: 0000-0002-1703-7796Affiliations:
- Texas A&M University, College Station, TX, USA
According to our database1,
Yang Shen
authored at least 33 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
Correlational Lagrangian Schrödinger Bridge: Learning Dynamics with Population-Level Regularization.
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Multimodal learning of noncoding variant effects using genome sequence and chromatin structure.
Bioinform., September, 2023
Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs.
IEEE Data Eng. Bull., 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Guest Editorial Special Section on Learning With Multimodal Data for Biomedical Informatics.
IEEE Trans. Circuits Syst. Video Technol., 2022
Cross-modality and self-supervised protein embedding for compound-protein affinity and contact prediction.
Bioinform., 2022
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How.
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts.
J. Chem. Inf. Model., 2021
TALE: Transformer-based protein function Annotation with joint sequence-Label Embedding.
Bioinform., 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design.
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.
J. Chem. Inf. Model., 2020
Cross-Modality Protein Embedding for Compound-Protein Affinity and Contact Prediction.
CoRR, 2020
CoRR, 2020
Network-principled deep generative models for designing drug combinations as graph sets.
Bioinform., 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
CoRR, 2019
Bayesian active learning for optimization and uncertainty quantification in protein docking.
CoRR, 2019
DeepAffinity: interpretable deep learning of compound-protein affinity through unified recurrent and convolutional neural networks.
Bioinform., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
2017
EURASIP J. Bioinform. Syst. Biol., 2017
2008
Protein Docking by the Underestimation of Free Energy Funnels in the Space of Encounter Complexes.
PLoS Comput. Biol., 2008
2007
SDU: A Semidefinite Programming-Based Underestimation Method for Stochastic Global Optimization in Protein Docking.
IEEE Trans. Autom. Control., 2007
Optimizing noisy funnel-like functions on the euclidean group with applications to protein docking.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2006
Protein-protein docking with reduced potentials by exploiting multi-dimensional energy funnels.
Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006
2005
A Semi-Definite programming-based Underestimation method for global optimization in molecular docking.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005