| Graph Contrastive Learning with Augmentations Y You, T Chen, Y Sui, T Chen, Z Wang, Y Shen Conference on Neural Information Processing Systems (NeurIPS), 2020 | 1647 | 2020 |
| Graph Contrastive Learning Automated Y You, T Chen, Y Shen, Z Wang Long Presentation, International Conference on Machine Learning (ICML), 2021 | 373 | 2021 |
| When Does Self-Supervision Help Graph Convolutional Networks? Y You, T Chen, Z Wang, Y Shen International Conference on Machine Learning (ICML), 2020 | 213 | 2020 |
| L-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks Y You, T Chen, Z Wang, Y Shen IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 86 | 2020 |
| Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations Y You, T Chen, Z Wang, Y Shen ACM International Conference on Web Search and Data Mining (WSDM), 2022 | 55 | 2022 |
| Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative T Wei, Y You, T Chen, Y Shen, J He, Z Wang Conference on Neural Information Processing Systems (NeurIPS), 2022 | 30 | 2022 |
| Graph Domain Adaptation via Theory-Grounded Spectral Regularization Y You, T Chen, Z Wang, Y Shen International Conference on Learning Representations (ICLR), 2023 | 25 | 2023 |
| Cross-Modality and Self-Supervised Protein Embedding for Compound-Protein Affinity and Contact Prediction Y You, Y Shen Bioinformatics; MoML’22; ECCB’22; 3DSIG COSI@ISMB/ECCB’21; MLSB@NeurIPS’20, 2022 | 18* | 2022 |
| Probabilistic Constructive Interference Precoding for Imperfect CSIT G Lyu, Y You, A Li, X Liao, C Masouros IEEE Transactions on Vehicular Technology, 2021 | 5* | 2021 |
| Critical Assessment of Variant Prioritization Methods for Rare Disease Diagnosis within the Rare Genomes Project SL Stenton, M O’Leary, G Lemire, GE VanNoy, S DiTroia, VS Ganesh, ... Human Genomics, 2024 | 3 | 2024 |
| Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling H Wang, Z Jiang, Y You, Y Han, G Liu, J Srinivasa, R Kompella, Z Wang Conference on Neural Information Processing Systems (NeurIPS), 2023 | 3 | 2023 |
| Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How Y You, Y Cao, T Chen, Z Wang, Y Shen International Conference on Learning Representations (ICLR), 2022 | 2 | 2022 |
| AR-Stock: Deep Augmented Relational Stock Prediction T Wei, Y You, T Chen Oral, Knowledge Discovery from Unstructured Data in Financial Services …, 2021 | 1 | 2021 |
| Correlational Lagrangian Schrödinger Bridge: Learning Dynamics with Population-Level Regularization Y You, R Zhou, Y Shen arXiv Preprint, 2024 | | 2024 |
| Multi-Modal Contrastive Learning for Proteins by Combining Domain-Informed Views H Xu, Y You, Y Shen Machine Learning for Genomics Explorations Workshop (MLGenX), ICLR, 2024 | | 2024 |
| Latent 3D Graph Diffusion Y You, R Zhou, J Park, H Xu, C Tian, Z Wang, Y Shen International Conference on Learning Representations (ICLR), 2024 | | 2024 |
| Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs Y Han, Y You, W Zheng, S Hoang, T Wei, M Hassan, T Chen, Y Ding, ... IEEE Data Engineering Bulletin, 2023 | | 2023 |
| Does Inter-Protein Contact Prediction Benefit from Multi-Modal Data and Auxiliary Tasks? A Talukder, R Yin, Y Sun, Y Shen, Y You Machine Learning for Structural Biology Workshop (MLSB), NeurIPS, 2022 | | 2022 |
| An Optimization Approach of Compressive Sensing Recovery Using Split Quadratic Bregman Iteration with Smoothed Norm G Yang, Y You, Z Lu, J Yang, Y Wang IEEE International Conference on Image Processing, Applications and Systems …, 2018 | | 2018 |
Yang ShenAssociate Professor, ECE + CSE @ Texas A&M UniversityVerified email at tamu.edu
