Yuning You

According to our database, Yuning You authored at least 18 papers between 2018 and 2025.

Collaborative distances:

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

2025

When Structure Doesn't Help: LLMs Do Not Read Text-Attributed Graphs as Effectively as We Expected.

Haotian Xu, Yuning You, Tengfei Ma

CoRR, November, 2025

2024

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

Yuning You, Ruida Zhou, Yang Shen

CoRR, 2024

Latent 3D Graph Diffusion.

Yuning You, Ruida Zhou, Jiwoong Park, Haotian Xu, Chao Tian, Zhangyang Wang, Yang Shen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs.

Yan Han, Yuning You, Wenqing Zheng, Scott Hoang, Tianxin Wei, Majdi Hassan, Tianlong Chen, Ying Ding, Yang Shen, Zhangyang Wang

IEEE Data Eng. Bull., 2023

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling.

Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu, Jayanth Srinivasa, Ramana Kompella, Zhangyang Wang

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.

Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Cross-modality and self-supervised protein embedding for compound-protein affinity and contact prediction.

Yuning You, Yang Shen

Bioinform., 2022

Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations.

Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

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.

Tianxin Wei, Yuning You, Tianlong Chen, Yang Shen, Jingrui He, Zhangyang Wang

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.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Probabilistic Constructive Interference Precoding for Imperfect CSIT.

Gangming Lyu, Yuning You, Ang Li, Xuewen Liao, Christos Masouros

IEEE Trans. Veh. Technol., 2021

Graph Contrastive Learning Automated.

Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang

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

2020

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

Yuning You, Yang Shen

CoRR, 2020

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

Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

CoRR, 2020

Graph Contrastive Learning with Augmentations.

Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

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?

Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

Proceedings of the 37th International Conference on Machine Learning, 2020

L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks.

Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

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.

Guoan Yang, Yuning You, Zhengzhi Lu, Junjie Yang, Yuhao Wang

Proceedings of the IEEE International Conference on Image Processing, 2018