| No-regret online learning over riemannian manifolds X Wang, Z Tu, Y Hong, Y Wu, G Shi Advances in Neural Information Processing Systems 34, 28323-28335, 2021 | 11 | 2021 |
| Distributed online convex optimization with compressed communication Z Tu, X Wang, Y Hong, L Wang, D Yuan, G Shi Advances in Neural Information Processing Systems 35, 34492-34504, 2022 | 9 | 2022 |
| Online optimization over riemannian manifolds X Wang, Z Tu, Y Hong, Y Wu, G Shi Journal of Machine Learning Research 24 (84), 1-67, 2023 | 7 | 2023 |
| Distributed stochastic mirror descent algorithm for resource allocation problem Y Wang, Z Tu, H Qin Control Theory and Technology 18, 339-347, 2020 | 6 | 2020 |
| Distributed Communication-Sliding Mirror-Descent Algorithm for Nonsmooth Resource Allocation Problem Y Wang, Z Tu, H Qin Journal of Systems Science and Complexity 35 (4), 1244-1261, 2022 | 3 | 2022 |
| Class conditional distribution alignment for domain adaptation K Cao, Z Tu, Y Ming Control Theory and Technology 18 (1), 72-80, 2020 | 3 | 2020 |
| Multi-agent solver for non-negative matrix factorization based on optimization Z Tu, W Li Kybernetika 57 (1), 60-77, 2021 | 2 | 2021 |
| Distributed boosting algorithm over multi-agent networks Z Tu, Y Wang, Y Hong 2018 37th Chinese Control Conference (CCC), 7153-7157, 2018 | 2 | 2018 |
| Distributed algorithm for solving variational inequalities over time-varying unbalanced digraphs Y Zhang, Y Tang, Z Tu, Y Hong Control Theory and Technology, 1-11, 2024 | 1 | 2024 |
| Distributed dual averaging algorithm for multi-agent optimization with coupled constraints Z Tu, S Liang Kybernetika 60 (4), 427-445, 2024 | | 2024 |
