Ling Yang

According to our database, Ling Yang authored at least 40 papers between 2020 and 2024.

Collaborative distances:

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

2024

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

Wenrui Zhang, Ling Yang, Shijia Geng, Shenda Hong

IEEE Trans. Neural Networks Learn. Syst., November, 2024

Graphusion: Latent Diffusion for Graph Generation.

Ling Yang, Zhilin Huang, Zhilong Zhang, Zhongyi Liu, Shenda Hong, Wentao Zhang, Wenming Yang, Bin Cui, Luxia Zhang

IEEE Trans. Knowl. Data Eng., November, 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

Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining.

Tianyi Bai, Ling Yang, Zhen Hao Wong, Jiahui Peng, Xinlin Zhuang, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He

CoRR, 2024

IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation.

Xinchen Zhang, Ling Yang, Guohao Li, Yaqi Cai, Jiake Xie, Yong Tang, Yujiu Yang, Mengdi Wang, Bin Cui

CoRR, 2024

Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis.

Bohan Zeng, Ling Yang, Siyu Li, Jiaming Liu, Zixiang Zhang, Juanxi Tian, Kaixin Zhu, Yongzhen Guo, Fu-Yun Wang, Minkai Xu, Stefano Ermon, Wentao Zhang

CoRR, 2024

TSdetector: Temporal-Spatial Self-correction Collaborative Learning for Colonoscopy Video Detection.

Kaini Wang, Haolin Wang, Guang-Quan Zhou, Yangang Wang, Ling Yang, Yang Chen, Shuo Li

CoRR, 2024

Universal Medical Image Representation Learning with Compositional Decoders.

Kaini Wang, Ling Yang, Siping Zhou, Guangquan Zhou, Wen-Bo Zhang, Bin Cui, Shuo Li

CoRR, 2024

An Adaptive Gradient Regularization Method.

Huixiu Jiang, Ling Yang, Yu Bao, Rutong Si

CoRR, 2024

Consistency Flow Matching: Defining Straight Flows with Velocity Consistency.

Ling Yang, Zixiang Zhang, Zhilong Zhang, Xingchao Liu, Minkai Xu, Wentao Zhang, Chenlin Meng, Stefano Ermon, Bin Cui

CoRR, 2024

VideoTetris: Towards Compositional Text-to-Video Generation.

Ye Tian, Ling Yang, Haotian Yang, Yuan Gao, Yufan Deng, Jingmin Chen, Xintao Wang, Zhaochen Yu, Xin Tao, Pengfei Wan, Di Zhang, Bin Cui

CoRR, 2024

Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models.

Ling Yang, Zhaochen Yu, Tianjun Zhang, Shiyi Cao, Minkai Xu, Wentao Zhang, Joseph E. Gonzalez, Bin Cui

CoRR, 2024

A Survey of Multimodal Large Language Model from A Data-centric Perspective.

Tianyi Bai, Hao Liang, Binwang Wan, Ling Yang, Bozhou Li, Yifan Wang, Bin Cui, Conghui He, Binhang Yuan, Wentao Zhang

CoRR, 2024

Acceleration Algorithms in GNNs: A Survey.

Lu Ma, Zeang Sheng, Xunkai Li, Xinyi Gao, Zhezheng Hao, Ling Yang, Wentao Zhang, Bin Cui

CoRR, 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

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

NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention.

Wentao Zhang, Guochen Yan, Yu Shen, Ling Yang, Yangyu Tao, Bin Cui, Jian Tang

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

Motion-aware Latent Diffusion Models for Video Frame Interpolation.

Zhilin Huang, Yijie Yu, Ling Yang, Chujun Qin, Bing Zheng, Xiawu Zheng, Zikun Zhou, Yaowei Wang, Wenming Yang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation.

Zhilin Huang, Ling Yang, Xiangxin Zhou, Chujun Qin, Yijie Yu, Xiawu Zheng, Zikun Zhou, Wentao Zhang, Yu Wang, Wenming Yang

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models.

Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

VQGraph: Rethinking Graph Representation Space 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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

BIM: Improving Graph Neural Networks with Balanced Influence Maximization.

Wentao Zhang, Xinyi Gao, Ling Yang, Meng Cao, Ping Huang, Jiulong Shan, Hongzhi Yin, Bin Cui

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation.

Yuhao Tang, Junyu Luo, Ling Yang, Xiao Luo, Wentao Zhang, Bin Cui

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism.

Yuxuan Liang, Wentao Zhang, Zeang Sheng, Ling Yang, Jiawei Jiang, Yunhai Tong, Bin Cui

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Structure-Guided Adversarial Training of Diffusion Models.

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Binding-Adaptive Diffusion Models for Structure-Based Drug Design.

Zhilin Huang, Ling Yang, Zaixi Zhang, Xiangxin Zhou, Yu Bao, Xiawu Zheng, Yuwei Yang, Yu Wang, Wenming Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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