| Diffusion models: A comprehensive survey of methods and applications L Yang, Z Zhang, Y Song, S Hong, R Xu, Y Zhao, W Zhang, B Cui, ... ACM Computing Surveys 56 (4), 1-39, 2023 | 1583 | 2023 |
| Dpgn: Distribution propagation graph network for few-shot learning L Yang, L Li, Z Zhang, X Zhou, E Zhou, Y Liu IEEE Conference on Computer Vision and Pattern Recognition, 13390-13399, 2020 | 278 | 2020 |
| Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models L Yang, Z Yu, T Zhang, S Cao, M Xu, W Zhang, JE Gonzalez, B Cui NeurIPS spotlight, 2024 | 200* | 2024 |
| Unsupervised time-series representation learning with iterative bilinear temporal-spectral fusion L Yang, S Hong International conference on machine learning, 25038-25054, 2022 | 144 | 2022 |
| Mastering text-to-image diffusion: Recaptioning, planning, and generating with multimodal llms L Yang, Z Yu, C Meng, M Xu, S Ermon, B Cui International Conference on Machine Learning, 2024 | 86 | 2024 |
| Self-supervised time series representation learning via cross reconstruction transformer W Zhang, L Yang, S Geng, S Hong IEEE Transactions on Neural Networks and Learning Systems, 2023 | 46* | 2023 |
| Diffusion-based scene graph to image generation with masked contrastive pre-training L Yang, Z Huang, Y Song, S Hong, G Li, W Zhang, B Cui, B Ghanem, ... arXiv preprint arXiv:2211.11138, 2022 | 45 | 2022 |
| Supercorrect: Supervising and correcting language models with error-driven insights L Yang, Z Yu, T Zhang, M Xu, JE Gonzalez, B Cui, S Yan ICLR, 2025 | 37* | 2025 |
| VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs L Yang, Y Tian, M Xu, Z Liu, S Hong, W Qu, W Zhang, B Cui, M Zhang, ... International Conference on Learning Representations, 2024 | 33 | 2024 |
| Improving diffusion-based image synthesis with context prediction L Yang, J Liu, S Hong, Z Zhang, Z Huang, Z Cai, W Zhang, B Cui Advances in Neural Information Processing Systems 36, 2024 | 30 | 2024 |
| IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts B Zeng, S Li, Y Feng, L Yang, H Li, S Gao, J Liu, C He, W Zhang, J Liu, ... ICLR, 2025 | 21* | 2025 |
| RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models X Zhang, L Yang, Y Cai, Z Yu, KN Wang, Y Tian, M Xu, Y Tang, Y Yang, ... Neural Information Processing Systems, 2024 | 19* | 2024 |
| Protein-ligand interaction prior for binding-aware 3d molecule diffusion models Z Huang, L Yang, X Zhou, Z Zhang, W Zhang, X Zheng, J Chen, Y Wang, ... The Twelfth International Conference on Learning Representations, 2024 | 14 | 2024 |
| Omni-granular ego-semantic propagation for self-supervised graph representation learning L Yang, S Hong International Conference on Machine Learning, 25022-25037, 2022 | 14 | 2022 |
| VideoTetris: Towards Compositional Text-to-Video Generation Y Tian, L Yang, H Yang, Y Gao, Y Deng, J Chen, X Wang, Z Yu, X Tao, ... NeurIPS 2024, 2024 | 12 | 2024 |
| Individual and structural graph information bottlenecks for out-of-distribution generalization L Yang, J Zheng, H Wang, Z Liu, Z Huang, S Hong, W Zhang, B Cui IEEE Transactions on Knowledge and Data Engineering, 2023 | 12 | 2023 |
| Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing L Yang, Z Zhang, Z Yu, J Liu, M Xu, S Ermon, B Cui International Conference on Learning Representations, 2024 | 11 | 2024 |
| Structure-Guided Adversarial Training of Diffusion Models L Yang, H Qian, Z Zhang, J Liu, B Cui IEEE Conference on Computer Vision and Pattern Recognition, 2024 | 10 | 2024 |
| Consistency flow matching: Defining straight flows with velocity consistency L Yang, Z Zhang, Z Zhang, X Liu, M Xu, W Zhang, C Meng, S Ermon, ... arXiv preprint arXiv:2407.02398, 2024 | 8 | 2024 |
| Graphusion: Latent Diffusion for Graph Generation L Yang, Z Huang, Z Zhang, Z Liu, S Hong, W Zhang, W Yang, B Cui, ... IEEE Transactions on Knowledge and Data Engineering, 2024 | 8* | 2024 |
Bin CUIProfessor of Computer Science, Peking UniversityE-mail megerősítve itt: pku.edu.cn
