| Graphgdp: Generative diffusion processes for permutation invariant graph generation H Huang, L Sun, B Du, Y Fu, W Lv 2022 IEEE International Conference on Data Mining (ICDM), 201-210, 2022 | 34 | 2022 |
| PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation M Liu*, H Huang*, H Feng, L Sun, B Du, Y Fu The 39th IEEE International Conference on Data Engineering (ICDE 2023), 2023 | 25 | 2023 |
| Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation H Huang, L Sun, B Du, W Lv Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4302-4311, 2023 | 20 | 2023 |
| Representation learning on knowledge graphs for node importance estimation H Huang, L Sun, B Du, C Liu, W Lv, H Xiong Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 18 | 2021 |
| Learning joint 2d & 3d diffusion models for complete molecule generation H Huang, L Sun, B Du, W Lv IEEE Transactions on Neural Networks and Learning Systems, 2023 | 5 | 2023 |
| RiboDiffusion: tertiary structure-based RNA inverse folding with generative diffusion models H Huang, Z Lin, D He, L Hong, Y Li Bioinformatics & ISMB 2024 40 (Supplement_1), i347-i356, 2024 | | 2024 |
Yu Li (李煜)Assistant Professor, Computer Science & Engineering, Chinese University of Hong Kong在 cse.cuhk.edu.hk 的电子邮件经过验证
