| Neural-based mixture probabilistic query embedding for answering fol queries on knowledge graphs X Long, L Zhuang, L Aodi, S Wang, H Li Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 11 | 2022 |
| Fact embedding through diffusion model for knowledge graph completion X Long, L Zhuang, A Li, H Li, S Wang Proceedings of the ACM Web Conference 2024, 2020-2029, 2024 | 4 | 2024 |
| KGDM: A diffusion model to capture multiple relation semantics for knowledge graph embedding X Long, L Zhuang, A Li, J Wei, H Li, S Wang Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8850-8858, 2024 | 4 | 2024 |
| Path ranking model for entity prediction X Long, MH Yao, L Zhuang, H Li, S Wang 2021 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2021 | 3 | 2021 |
| EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering X Long, L Zhuang, A Li, M Yao, S Wang arXiv preprint arXiv:2502.16171, 2025 | | 2025 |
| Test-time Loss Landscape Adaptation for Zero-Shot Generalization in Vision-Language Models A Li, L Zhuang, X Long, M Yao, S Wang arXiv preprint arXiv:2501.18864, 2025 | | 2025 |
| Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes A Li, L Zhuang, X Long, M Yao, S Wang arXiv preprint arXiv:2412.13573, 2024 | | 2024 |
| Learn the Approximation Distribution of Sparse Coding with Mixture Sparsity Network L Li, X Long, L Zhuang, S Wang Pattern Recognition and Computer Vision: 4th Chinese Conference, PRCV 2021 …, 2021 | | 2021 |
Aodi LiPhD student, University of Science and Technology of ChinaPreverjeni e-poštni naslov na mail.ustc.edu.cn
