| A brief introduction to manifold optimization J Hu, X Liu, ZW Wen, YX Yuan Journal of the Operations Research Society of China 8, 199-248, 2020 | 182 | 2020 |
| Adaptive quadratically regularized Newton method for Riemannian optimization J Hu, A Milzarek, Z Wen, Y Yuan SIAM Journal on Matrix Analysis and Applications 39 (3), 1181-1207, 2018 | 64 | 2018 |
| Radiology-llama2: Best-in-class large language model for radiology Z Liu, Y Li, P Shu, A Zhong, L Yang, C Ju, Z Wu, C Ma, J Luo, C Chen, ... arXiv preprint arXiv:2309.06419, 2023 | 55 | 2023 |
| Structured quasi-Newton methods for optimization with orthogonality constraints J Hu, B Jiang, L Lin, Z Wen, Y Yuan SIAM Journal on Scientific Computing 41 (4), A2239-A2269, 2019 | 36 | 2019 |
| Ma-sam: Modality-agnostic sam adaptation for 3d medical image segmentation C Chen, J Miao, D Wu, Z Yan, S Kim, J Hu, A Zhong, Z Liu, L Sun, X Li, ... arXiv preprint arXiv:2309.08842, 2023 | 28 | 2023 |
| A note on semidefinite programming relaxations for polynomial optimization over a single sphere J Hu, B Jiang, X Liu, ZW Wen Science China Mathematics 59, 1543-1560, 2016 | 17 | 2016 |
| Decentralized projected Riemannian gradient method for smooth optimization on compact submanifolds K Deng, J Hu arXiv preprint arXiv:2304.08241, 2023 | 10 | 2023 |
| Medivista-sam: Zero-shot medical video analysis with spatio-temporal sam adaptation S Kim, K Kim, J Hu, C Chen, Z Lyu, R Hui, S Kim, Z Liu, A Zhong, X Li, ... arXiv preprint arXiv:2309.13539, 2023 | 6 | 2023 |
| Riemannian natural gradient methods J Hu, R Ao, AMC So, M Yang, Z Wen SIAM Journal on Scientific Computing 46 (1), A204-A231, 2024 | 5 | 2024 |
| Riemannian Smoothing Gradient Type Algorithms for Nonsmooth Optimization Problem on Compact Riemannian Submanifold Embedded in Euclidean Space Z Peng, W Wu, J Hu, K Deng Applied Mathematics & Optimization 88 (3), 85, 2023 | 5* | 2023 |
| Decentralized weakly convex optimization over the Stiefel manifold J Wang, J Hu, S Chen, Z Deng, AMC So arXiv preprint arXiv:2303.17779, 2023 | 5 | 2023 |
| On the local convergence of the semismooth Newton method for composite optimization J Hu, T Tian, S Pan, Z Wen arXiv preprint arXiv:2211.01127, 2022 | 4 | 2022 |
| Decentralized Riemannian natural gradient methods with Kronecker-product approximations J Hu, K Deng, N Li, Q Li arXiv preprint arXiv:2303.09611, 2023 | 3 | 2023 |
| A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity J Hu, K Deng, J Wu, Q Li Journal of Machine Learning Research 25 (56), 1-32, 2024 | 2 | 2024 |
| An augmented lagrangian primal-dual semismooth newton method for multi-block composite optimization Z Deng, K Deng, J Hu, Z Wen arXiv preprint arXiv:2312.01273, 2023 | 2 | 2023 |
| Composite federated learning with heterogeneous data J Zhang, J Hu, M Johansson ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
| Decentralized Douglas-Rachford splitting methods for smooth optimization over compact submanifolds K Deng, J Hu, H Wang arXiv preprint arXiv:2311.16399, 2023 | 1 | 2023 |
| Achieving consensus over compact submanifolds J Hu, J Zhang, K Deng arXiv preprint arXiv:2306.04769, 2023 | 1 | 2023 |
| Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data J Zhang, J Hu, AMC So, M Johansson arXiv preprint arXiv:2406.08465, 2024 | | 2024 |
| Convergence analysis of an adaptively regularized natural gradient method J Wu, J Hu, H Zhang, Z Wen IEEE Transactions on Signal Processing, 2024 | | 2024 |
Zaiwen WenPeking University在 pku.edu.cn 的电子邮件经过验证
