| Statistical Estimation of Diffusion Network Topologies K Han, Y Tian, Y Zhang, L Han, H Huang, Y Gao 2020 IEEE 36th International Conference on Data Engineering (ICDE), 625-636, 2020 | 17 | 2020 |
| Diffusion Network Inference from Partial Observations T Gan, K Han, H Huang, S Ying, Y Gao, Z Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7493-7500, 2021 | 8 | 2021 |
| Reconstructing Diffusion Networks from Incomplete Data. H Huang, K Han, B Xu, T Gan IJCAI 2022, 3085-3091, 2022 | 6 | 2022 |
| Multi-aspect Diffusion Network Inference H Huang, K Han, B Xu, T Gan Proceedings of the ACM Web Conference 2023, 82-90, 2023 | 5 | 2023 |
| Learning Diffusions under Uncertainty H Huang, Q Yan, K Han, T Gan, J Jiang, Q Xu, C Yang Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 20430 …, 2024 | 2 | 2024 |
| Rethinking Functional Brain Connectome Analysis: Do Graph Deep Learning Models Help? K Han, Y Su, L He, L Zhan, S Plis, V Calhoun, C Yang arXiv preprint arXiv:2501.17207, 2025 | | 2025 |
| Multi-task Learning for Brain Network Analysis in the ABCD study X Kan, H Cui, K Han, Y Guo, C Yang IEEE-EMBS International Conference on Biomedical and Health Informatics, 0 | | |
