Ling Yang

According to our database, Ling Yang authored at least 18 papers between 2020 and 2024.

Collaborative distances:

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

2024

Diffusion Models: A Comprehensive Survey of Methods and Applications.

Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang

ACM Comput. Surv., April, 2024

Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization.

Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui

IEEE Trans. Knowl. Data Eng., February, 2024

Retrieval-Augmented Generation for AI-Generated Content: A Survey.

Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, Bin Cui

CoRR, 2024

Structure-Guided Adversarial Training of Diffusion Models.

Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui

CoRR, 2024

Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing.

Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui

CoRR, 2024

RealCompo: Dynamic Equilibrium between Realism and Compositionality Improves Text-to-Image Diffusion Models.

Xinchen Zhang, Ling Yang, Yaqi Cai, Zhaochen Yu, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui

CoRR, 2024

Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs.

Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui

CoRR, 2024

2023

VQGraph: Graph Vector-Quantization for Bridging GNNs and MLPs.

Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec

CoRR, 2023

Improving Diffusion-Based Image Synthesis with Context Prediction.

Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training.

Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang

CoRR, 2022

Diffusion Models: A Comprehensive Survey of Methods and Applications.

Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui

CoRR, 2022

Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning.

Wenrui Zhang, Ling Yang, Shijia Geng, Shenda Hong

CoRR, 2022

Spatial Autoregressive Coding for Graph Neural Recommendation.

Jiayi Zheng, Ling Yang, Heyuan Wang, Cheng Yang, Yinghong Li, Xiaowei Hu, Shenda Hong

CoRR, 2022

Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Time-Series Representation Learning.

Ling Yang, Shenda Hong, Luxia Zhang

CoRR, 2022

Spectral Propagation Graph Network for Few-shot Time Series Classification.

Ling Yang, Shenda Hong, Luxia Zhang

CoRR, 2022

Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion.

Ling Yang, Shenda Hong

Proceedings of the International Conference on Machine Learning, 2022

Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning.

Ling Yang, Shenda Hong

Proceedings of the International Conference on Machine Learning, 2022

2020

DPGN: Distribution Propagation Graph Network for Few-Shot Learning.

Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, Yu Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020