| Learning to optimize on Riemannian manifolds Z Gao, Y Wu, X Fan, M Harandi, Y Jia IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 5935-5952, 2022 | 12 | 2022 |
| Learning a gradient-free Riemannian optimizer on tangent spaces X Fan, Z Gao, Y Wu, Y Jia, M Harandi Proceedings of the AAAI Conference on Artificial Intelligence 35 (8), 7377-7384, 2021 | 4 | 2021 |
| Efficient Riemannian meta-optimization by implicit differentiation X Fan, Y Wu, Z Gao, Y Jia, M Harandi Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 3733-3740, 2022 | 3 | 2022 |
| Large-scale riemannian meta-optimization via subspace adaptation P Yu, Y Wu, Z Gao, X Fan, Y Jia Computer Vision and Image Understanding, 104306, 2025 | | 2025 |
| Consistency of Compositional Generalization across Multiple Levels C Li, Z Li, C Jing, X Fan, W Ye, Y Wu, Y Jia arXiv preprint arXiv:2412.13636, 2024 | | 2024 |
| Geometry-aware Distance Measure for Diverse Hierarchical Structures in Hyperbolic Spaces P Li, Z Gao, X Fan, W Wei, Y Wu, Z Lu, Y Jia, M Harandi | | |
yunde jiaProfessor of Computer Science, Beijing Institute of TechnologyDirección de correo verificada de bit.edu.cn
