Selected Papers
CVPR2020 - Yang L, Li L, Zhang Z, et al. Dpgn: Distribution propagation graph network for few-shot learning[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020: 13390-13399.
Yang L, Zhang Z, Hong S, Xu R, Zhao Y, Shao Y, Zhang W, Yang MH, Cui B. Diffusion Models: A Comprehensive Survey of Methods and Applications[J]. arXiv preprint arXiv:2209.00796, 2022.
Publications
CVPR2020 - Yang L, Li L, Zhang Z, et al. Dpgn: Distribution propagation graph network for few-shot learning[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020: 13390-13399.
ICML2022 - Yang L, Hong S. Omni-granular ego-semantic propagation for self-supervised graph representation learning[C]//International Conference on Machine Learning. PMLR, 2022: 25022-25037.
ICML2022 - Yang L, Hong S. Unsupervised time-series representation learning with iterative bilinear temporal-spectral fusion[C]//International Conference on Machine Learning. PMLR, 2022: 25038-25054.
TKDE - Yang L, Zheng J, Wang H, Liu Z, Huang Z, Hong S, Zhang W, Cui B. Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization[J]. IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2023.3290792.
TNNLS - Zhang W*, Yang L*, Geng S, Hong S. Self-Supervised Time Series Representation Learning via Cross Reconstruction Transformer[J]. IEEE Transactions on Neural Networks and Learning Systems, doi: 10.1109/TNNLS.2023.3292066.
Preprints
Yang L, Zhang Z, Hong S, Xu R, Zhao Y, Shao Y, Zhang W, Yang MH, Cui B. Diffusion Models: A Comprehensive Survey of Methods and Applications[J]. arXiv preprint arXiv:2209.00796, 2022.
Yang L, Huang Z, Song Y, et al. Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training[J]. arXiv preprint arXiv:2211.11138, 2022.