Ling Yang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 26

Top Topics

Image Generation

Diffusion Models

Regularization Method

Top Venues

ACM Comput. Surv.

Publications

Ling Yang, Jiayi Zheng, Heyuan Wang, Zhongyi Liu, Zhilin Huang, Shenda Hong, Wentao Zhang, Bin Cui
Individual and Structural Graph Information Bottlenecks for Out-of-Distribution Generalization. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Penghao Zhao, Hailin Zhang, Qinhan Yu, Zhengren Wang, Yunteng Geng, Fangcheng Fu, Ling Yang, Wentao Zhang, Bin Cui
Retrieval-Augmented Generation for AI-Generated Content: A Survey. CoRR (2024)
Ye Tian, Ling Yang, Haotian Yang, Yuan Gao, Yufan Deng, Jingmin Chen, Xintao Wang, Zhaochen Yu, Xin Tao, Pengfei Wan, Di Zhang, Bin Cui
VideoTetris: Towards Compositional Text-to-Video Generation. CoRR (2024)
Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models. ICLR (2024)
Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui
Improving Diffusion-Based Image Synthesis with Context Prediction. CoRR (2024)
Ling Yang, Haotian Qian, Zhilong Zhang, Jingwei Liu, Bin Cui
Structure-Guided Adversarial Training of Diffusion Models. CoRR (2024)
Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui
BIM: Improving Graph Neural Networks with Balanced Influence Maximization. ICDE (2024)
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Wentao Zhang, Bin Cui, Ming-Hsuan Yang
Diffusion Models: A Comprehensive Survey of Methods and Applications. ACM Comput. Surv. 56 (4) (2024)
Ling Yang, Zhaochen Yu, Chenlin Meng, Minkai Xu, Stefano Ermon, Bin Cui
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs. CoRR (2024)
Ling Yang, Zixiang Zhang, Zhilong Zhang, Xingchao Liu, Minkai Xu, Wentao Zhang, Chenlin Meng, Stefano Ermon, Bin Cui
Consistency Flow Matching: Defining Straight Flows with Velocity Consistency. CoRR (2024)
Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui
Acceleration Algorithms in GNNs: A Survey. CoRR (2024)
Xinchen Zhang, Ling Yang, Yaqi Cai, Zhaochen Yu, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui
RealCompo: Dynamic Equilibrium between Realism and Compositionality Improves Text-to-Image Diffusion Models. CoRR (2024)
Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing. CoRR (2024)
Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models. CoRR (2024)
Ling Yang, Ye Tian, Minkai Xu, Zhongyi Liu, Shenda Hong, Wei Qu, Wentao Zhang, Bin Cui, Muhan Zhang, Jure Leskovec
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs. ICLR (2024)
Huixiu Jiang, Ling Yang, Yu Bao, Rutong Si
An Adaptive Gradient Regularization Method. CoRR (2024)
Ling Yang, Zhilong Zhang, Zhaochen Yu, Jingwei Liu, Minkai Xu, Stefano Ermon, Bin Cui
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing. ICLR (2024)
Tianyi Bai, Hao Liang, Binwang Wan, Ling Yang, Bozhou Li, Yifan Wang, Bin Cui, Conghui He, Binhang Yuan, Wentao Zhang
A Survey of Multimodal Large Language Model from A Data-centric Perspective. CoRR (2024)
Ling Yang, Jingwei Liu, Shenda Hong, Zhilong Zhang, Zhilin Huang, Zheming Cai, Wentao Zhang, Bin Cui
Improving Diffusion-Based Image Synthesis with Context Prediction. NeurIPS (2023)
Ling Yang, Shenda Hong
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion. ICML (2022)
Ling Yang, Shenda Hong
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning. CoRR (2022)
Jiayi Zheng, Ling Yang, Heyuan Wang, Cheng Yang, Yinghong Li, Xiaowei Hu, Shenda Hong
Spatial Autoregressive Coding for Graph Neural Recommendation. CoRR (2022)
Ling Yang, Zhilong Zhang, Yang Song, Shenda Hong, Runsheng Xu, Yue Zhao, Yingxia Shao, Wentao Zhang, Ming-Hsuan Yang, Bin Cui
Diffusion Models: A Comprehensive Survey of Methods and Applications. CoRR (2022)
Wenrui Zhang, Ling Yang, Shijia Geng, Shenda Hong
Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning. CoRR (2022)
Ling Yang, Zhilin Huang, Yang Song, Shenda Hong, Guohao Li, Wentao Zhang, Bin Cui, Bernard Ghanem, Ming-Hsuan Yang
Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training. CoRR (2022)
Ling Yang, Shenda Hong
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning. ICML (2022)