| Learning common and specific visual prompts for domain generalization A Li, L Zhuang, S Fan, S Wang Proceedings of the Asian Conference on Computer Vision, 4260-4275, 2022 | 22 | 2022 |
| 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 | 10 | 2022 |
| Bayesian Sharpness-Aware Prompt Tuning for Cross-Domain Few-shot Learning S Fan, L Zhuang, A Li 2023 International Joint Conference on Neural Networks (IJCNN), 1-7, 2023 | 4 | 2023 |
| Fact Embedding through Diffusion Model for Knowledge Graph Completion X Long, L Zhuang, A Li, H Li, S Wang Proceedings of the ACM on Web Conference 2024, 2020-2029, 2024 | 2 | 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 | 2 | 2024 |
| 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 |
