| Hessian aided policy gradient Z Shen, H Hassani, C Mi, H Qian, A Ribeiro International conference on machine learning, 5729-5738, 2019 | 70 | 2019 |
| Towards More Efficient Stochastic Decentralized Learning: Faster Convergence and Sparse Communication Z Shen, A Mokhtari, T Zhou, P Zhao, H Qian Proceedings of the 35th International Conference on Machine Learning 80 …, 2018 | 62 | 2018 |
| One sample stochastic frank-wolfe M Zhang, Z Shen, A Mokhtari, H Hassani, A Karbasi International Conference on Artificial Intelligence and Statistics, 4012-4023, 2020 | 61 | 2020 |
| Efficient projection-free online methods with stochastic recursive gradient J Xie, Z Shen, C Zhang, B Wang, H Qian Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 6446-6453, 2020 | 38* | 2020 |
| Stochastic conditional gradient++:(non) convex minimization and continuous submodular maximization H Hassani, A Karbasi, A Mokhtari, Z Shen SIAM Journal on Optimization 30 (4), 3315-3344, 2020 | 36* | 2020 |
| Complexities in projection-free stochastic non-convex minimization Z Shen, C Fang, P Zhao, J Huang, H Qian The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 31 | 2019 |
| A decentralized proximal point-type method for saddle point problems W Liu, A Mokhtari, A Ozdaglar, S Pattathil, Z Shen, N Zheng arXiv preprint arXiv:1910.14380, 2019 | 29 | 2019 |
| An agnostic approach to federated learning with class imbalance Z Shen, J Cervino, H Hassani, A Ribeiro International Conference on Learning Representations, 2021 | 24 | 2021 |
| JUMP: a joint predictor for user click and dwell time T Zhou, H Qian, Z Shen, C Zhang, C Wang, S Liu, W Ou Proceedings of the 27th International Joint Conference on Artificial …, 2018 | 21 | 2018 |
| Adaptive Variance Reducing for Stochastic Gradient Descent. Z Shen, H Qian, T Zhou, T Mu Proceedings of the 25th International Joint Conference on Artificial …, 2016 | 20 | 2016 |
| Multitask metric learning: Theory and algorithm B Wang, H Zhang, P Liu, Z Shen, J Pineau The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 19 | 2019 |
| Tensor completion with side information: A riemannian manifold approach. T Zhou, H Qian, Z Shen, C Zhang, C Xu Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017 | 18* | 2017 |
| Sinkhorn barycenter via functional gradient descent Z Shen, Z Wang, A Ribeiro, H Hassani Thirty-fifth Conference on Neural Information Processing Systems, 2020 | 12 | 2020 |
| Stochastic continuous greedy++: When upper and lower bounds match A Karbasi, H Hassani, A Mokhtari, Z Shen Advances in Neural Information Processing Systems 32 (NeurIPS 2019), 2019 | 12 | 2019 |
| Decentralized gradient tracking for continuous dr-submodular maximization J Xie, C Zhang, Z Shen, C Mi, H Qian The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 12 | 2019 |
| Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization. Z Shen, H Qian, T Mu, C Zhang Proceedings of the Twenty-Sixth International Joint Conference on Artificial …, 2017 | 10* | 2017 |
| Sinkhorn natural gradient for generative models Z Shen, Z Wang, A Ribeiro, H Hassani Advances in Neural Information Processing Systems 33, 1646-1656, 2020 | 9 | 2020 |
| A stochastic trust region method for non-convex minimization Z Shen, P Zhou, C Fang, A Ribeiro arXiv preprint arXiv:1903.01540, 2019 | 9 | 2019 |
| Safe learning under uncertain objectives and constraints M Fereydounian, Z Shen, A Mokhtari, A Karbasi, H Hassani arXiv preprint arXiv:2006.13326, 2020 | 8 | 2020 |
| A federated learning framework for nonconvex-pl minimax problems J Xie, C Zhang, Y Zhang, Z Shen, H Qian arXiv preprint arXiv:2105.14216, 2021 | 7 | 2021 |
Hui QianCollege of CS, Zhejiang UniversityVerified email at zju.edu.cn
