| A hyperbolic-to-hyperbolic graph convolutional network J Dai, Y Wu, Z Gao, Y Jia Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 65 | 2021 |
| Deep convolutional network with locality and sparsity constraints for texture classification X Bu, Y Wu, Z Gao, Y Jia Pattern Recognition 91, 34-46, 2019 | 49 | 2019 |
| Curvature generation in curved spaces for few-shot learning Z Gao, Y Wu, Y Jia, M Harandi Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 45 | 2021 |
| A robust distance measure for similarity-based classification on the SPD manifold Z Gao, Y Wu, M Harandi, Y Jia IEEE transactions on neural networks and learning systems 31 (9), 3230-3244, 2019 | 40 | 2019 |
| Revisiting bilinear pooling: A coding perspective Z Gao, Y Wu, X Zhang, J Dai, Y Jia, M Harandi Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3954-3961, 2020 | 39 | 2020 |
| Learning a robust representation via a deep network on symmetric positive definite manifolds Z Gao, Y Wu, X Bu, T Yu, J Yuan, Y Jia Pattern Recognition 92, 1-12, 2019 | 26 | 2019 |
| Meta-causal learning for single domain generalization J Chen, Z Gao, X Wu, J Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 16 | 2023 |
| Learning to optimize on SPD manifolds Z Gao, Y Wu, Y Jia, M Harandi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 16 | 2020 |
| Curvature-adaptive meta-learning for fast adaptation to manifold data Z Gao, Y Wu, M Harandi, Y Jia IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (2), 1545-1562, 2022 | 9 | 2022 |
| CLOVA: A closed-loop visual assistant with tool usage and update Z Gao, Y Du, X Zhang, X Ma, W Han, SC Zhu, Q Li arXiv preprint arXiv:2312.10908, 2023 | 4 | 2023 |
| Hyperbolic feature augmentation via distribution estimation and infinite sampling on manifolds Z Gao, Y Wu, Y Jia, M Harandi Advances in Neural Information Processing Systems 35, 34421-34435, 2022 | 3 | 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 | 3 | 2021 |
| Exploring Data Geometry for Continual Learning Z Gao, C Xu, F Li, Y Jia, M Harandi, Y Wu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 2 | 2023 |
| 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 | 2 | 2022 |
| 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 | 1 | 2022 |
| Infinite-dimensional feature aggregation via a factorized bilinear model J Dai, Y Wu, Z Gao, Y Jia Pattern Recognition 124, 108397, 2022 | 1 | 2022 |
| VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding Y Fan, X Ma, R Wu, Y Du, J Li, Z Gao, Q Li arXiv preprint arXiv:2403.11481, 2024 | | 2024 |
| Set-to-Set Distance Metric Learning on SPD Manifolds Z Gao, Y Wu, Y Jia Pattern Recognition and Computer Vision: First Chinese Conference, PRCV 2018 …, 2018 | | 2018 |
| Supplement Material of “Meta-causal Learning for Single Domain Generalization” J Chen, Z Gao, X Wu, J Luo | | |
| Exploring Data Geometry for Continual Learning Supplementary Materials Z Gao, C Xu, F Li, Y Jia, M Harandi, Y Wu | | |
yunde jiaProfessor of Computer Science, Beijing Institute of TechnologyVerified email at bit.edu.cn
