Yuning You

According to our database1, Yuning You authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Correlational Lagrangian Schrödinger Bridge: Learning Dynamics with Population-Level Regularization.
CoRR, 2024

2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Graph Domain Adaptation via Theory-Grounded Spectral Regularization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

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

Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative.
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
Probabilistic Constructive Interference Precoding for Imperfect CSIT.
IEEE Trans. Veh. Technol., 2021

Graph Contrastive Learning Automated.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Cross-Modality Protein Embedding for Compound-Protein Affinity and Contact Prediction.
CoRR, 2020

L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks.
CoRR, 2020

Graph Contrastive Learning with Augmentations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

When Does Self-Supervision Help Graph Convolutional Networks?
Proceedings of the 37th International Conference on Machine Learning, 2020

L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018
An Optimization Approach of Compressive Sensing Recovery Using Split Quadratic Bregman Iteration with Smoothed ℓ0 Norm.
Proceedings of the IEEE International Conference on Image Processing, 2018


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