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
2437 2020 Graph Contrastive Learning Automated Y You, T Chen, Y Shen, Z Wang
Long Presentation, International Conference on Machine Learning (ICML), 2021
558 2021 When Does Self-Supervision Help Graph Convolutional Networks? Y You, T Chen, Z Wang, Y Shen
International Conference on Machine Learning (ICML), 2020
264 2020 L Y You, T Chen, Z Wang, Y Shen
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
106 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
79 2022 Graph Domain Adaptation via Theory-Grounded Spectral Regularization Y You, T Chen, Z Wang, Y Shen
International Conference on Learning Representations (ICLR), 2023
54 2023 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
54 2022 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
27 * 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
27 * 2022 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
12 2024 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
10 2024 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 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
2 * 2022 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 Building Foundation Models to Characterize Cellular Interactions via Geometric Self-Supervised Learning on Spatial Genomics Y You, Z Wang, K Fleisher, R Liu, M Thomson
bioRxiv, 2025
2025 Correlational Lagrangian Schrödinger Bridge: Learning Dynamics with Population-Level Regularization Y You, R Zhou, Y Shen
AI for New Drug Modalities Workshop (AIDrugX), NeurIPS, 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 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 An Optimization Approach of Compressive Sensing Recovery Using Split Quadratic Bregman Iteration with Smoothed G Yang, Y You, Z Lu, J Yang, Y Wang
IEEE International Conference on Image Processing, Applications and Systems …, 2018
2018 
Zhangyang (Atlas) WangXTX Markets & University of Texas at AustinAdresă de e-mail confirmată pe utexas.edu
