| Talent demand-supply joint prediction with dynamic heterogeneous graph enhanced meta-learning Z Guo, H Liu, L Zhang, Q Zhang, H Zhu, H Xiong Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 17 | 2022 |
| Human mobility modeling during the COVID-19 pandemic via deep graph diffusion infomax Y Liu, Y Rong, Z Guo, N Chen, T Xu, F Tsung, J Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14347 …, 2023 | 9 | 2023 |
| A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction W Chao, Z Qiu, L Wu, Z Guo, Z Zheng, H Zhu, H Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (18), 19813 …, 2024 | 6 | 2024 |
| Aesthetics++: Refining graphic designs by exploring design principles and human preference W Kong, Z Jiang, S Sun, Z Guo, W Cui, T Liu, J Lou, D Zhang IEEE Transactions on Visualization and Computer Graphics 29 (6), 3093-3104, 2022 | 4 | 2022 |
| HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning Z Guo, D Yao, Q Yang, H Liu Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
| Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning Z Guo, R Han, H Liu arXiv preprint arXiv:2411.02003, 2024 | | 2024 |
| Labor Migration Modeling through Large-scale Job Query Data Z Guo, L Zhang, H Zhu, W Zhang, H Xiong, H Liu arXiv preprint arXiv:2410.02639, 2024 | | 2024 |
| Convergence-aware Clustered Federated Graph Learning Framework for Collaborative Inter-company Labor Market Forecasting Z Guo, H Liu, L Zhang, Q Zhang, H Zhu, H Xiong arXiv preprint arXiv:2409.19545, 2024 | | 2024 |
Liu HaoThe Hong Kong University of Science and Technology (Guangzhou)在 ust.hk 的电子邮件经过验证
