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 003 (IPAS, 2018)

L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks. - Yuning You; Tianlong Chen 001; Zhangyang Wang; Yang Shen 001 (CVPR, 2020)

When Does Self-Supervision Help Graph Convolutional Networks? - Yuning You; Tianlong Chen 001; Zhangyang Wang; Yang Shen 001 (ICML, 2020)

Graph Contrastive Learning with Augmentations. - Yuning You; Tianlong Chen 001; Yongduo Sui; Ting Chen; Zhangyang Wang; Yang Shen 001 (NeurIPS, 2020)

L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks. - Yuning You; Tianlong Chen 001; Zhangyang Wang; Yang Shen 001 (CoRR, 2020)

Cross-Modality Protein Embedding for Compound-Protein Affinity and Contact Prediction. - Yuning You; Yang Shen 001 (CoRR, 2020)

Graph Contrastive Learning Automated. - Yuning You; Tianlong Chen 001; Yang Shen 001; Zhangyang Wang (ICML, 2021)

Probabilistic Constructive Interference Precoding for Imperfect CSIT. - Gangming Lyu; Yuning You; Ang Li 003; Xuewen Liao; Christos Masouros (IEEE Trans. Veh. Technol., 2021)

Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How. - Yuning You; Yue Cao 010; Tianlong Chen 001; Zhangyang Wang; Yang Shen 001 (ICLR, 2022)

Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative. - Tianxin Wei; Yuning You; Tianlong Chen 001; Yang Shen 001; Jingrui He; Zhangyang Wang (NeurIPS, 2022)

Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations. - Yuning You; Tianlong Chen 001; Zhangyang Wang; Yang Shen 001 (WSDM, 2022)

Cross-modality and self-supervised protein embedding for compound-protein affinity and contact prediction. - Yuning You; Yang Shen 001 (Bioinform., 2022)

Graph Domain Adaptation via Theory-Grounded Spectral Regularization. - Yuning You; Tianlong Chen 001; Zhangyang Wang; Yang Shen 001 (ICLR, 2023)

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling. - Haotao Wang; Ziyu Jiang; Yuning You; Yan Han 001; Gaowen Liu; Jayanth Srinivasa; Ramana Kompella; Zhangyang Wang (NeurIPS, 2023)

Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs. - Yan Han 001; Yuning You; Wenqing Zheng; Scott Hoang; Tianxin Wei; Majdi Hassan; Tianlong Chen 001; Ying Ding 001; Yang Shen 001; Zhangyang Wang (IEEE Data Eng. Bull., 2023)

Latent 3D Graph Diffusion. - Yuning You; Ruida Zhou; Jiwoong Park; Haotian Xu 004; Chao Tian 002; Zhangyang Wang; Yang Shen 001 (ICLR, 2024)

Correlational Lagrangian Schrödinger Bridge: Learning Dynamics with Population-Level Regularization. - Yuning You; Ruida Zhou; Yang Shen 001 (CoRR, 2024)