| Empty-car routing in ridesharing systems A Braverman, JG Dai, X Liu, L Ying Operations Research 67 (5), 1437-1452, 2019 | 264 | 2019 |
| Triple-q: A model-free algorithm for constrained reinforcement learning with sublinear regret and zero constraint violation H Wei, X Liu, L Ying International Conference on Artificial Intelligence and Statistics, 3274-3307, 2022 | 59* | 2022 |
| An efficient pessimistic-optimistic algorithm for stochastic linear bandits with general constraints X Liu, B Li, P Shi, L Ying Advances in Neural Information Processing Systems 34, 24075-24086, 2021 | 46 | 2021 |
| Steady-state analysis of load-balancing algorithms in the sub-Halfin–Whitt regime X Liu, L Ying Journal of Applied Probability 57 (2), 578-596, 2020 | 40* | 2020 |
| Joint beamforming and user selection in multicast downlink channel under secrecy-outage constraint X Liu, F Gao, G Wang, X Wang IEEE communications letters 18 (1), 82-85, 2013 | 34 | 2013 |
| A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes H Wei, X Liu, L Ying AAAI, 2022 | 29 | 2022 |
| Universal scaling of distributed queues under load balancing in the super-Halfin-Whitt regime X Liu, L Ying IEEE/ACM Transactions on Networking 30 (1), 190-201, 2021 | 25* | 2021 |
| Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond H Guo, X Liu, H Wei, L Ying Advances in Neural Information Processing Systems, 2022 | 24 | 2022 |
| Steady‐state analysis of load balancing with Coxian‐2 distributed service times X Liu, K Gong, L Ying Naval Research Logistics (NRL) 69 (1), 57-75, 2022 | 21 | 2022 |
| POND: Pessimistic-optimistic online dispatch X Liu, B Li, P Shi, L Ying arXiv preprint arXiv:2010.09995, 2020 | 20 | 2020 |
| On achieving zero delay with power-of-d-choices load balancing X Liu, L Ying IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 297-305, 2018 | 18 | 2018 |
| Spatial–temporal routing for supporting end-to-end hard deadlines in multi-hop networks X Liu, W Wang, L Ying Performance Evaluation 135, 102007, 2019 | 14 | 2019 |
| Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints H Guo, Q Zhu, X Liu arXiv preprint arXiv:2211.14720, 2022 | 12 | 2022 |
| Fluid-model-based car routing for modern ridesharing systems A Braverman, JG Dai, X Liu, L Ying Proceedings of the 2017 ACM SIGMETRICS/International Conference on …, 2017 | 12 | 2017 |
| Scalable and sample efficient distributed policy gradient algorithms in multi-agent networked systems X Liu, H Wei, L Ying arXiv preprint arXiv:2212.06357, 2022 | 8 | 2022 |
| Sample efficient reinforcement learning in mixed systems through augmented samples and its applications to queueing networks H Wei, X Liu, W Wang, L Ying Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Exploration, exploitation, and engagement in multi-armed bandits with abandonment Z Yang, X Liu, L Ying Journal of Machine Learning Research 25 (9), 1-55, 2024 | 6 | 2024 |
| Beyond Scaling: Calculable Error Bounds of the Power-of-Two-Choices Mean-Field Model in Heavy-Traffic Hairi, X Liu, L Ying arXiv preprint arXiv:2012.06613, 2020 | 5 | 2020 |
| Large-system insensitivity of zero-waiting load balancing algorithms X Liu, K Gong, L Ying ACM SIGMETRICS Performance Evaluation Review 50 (1), 101-102, 2022 | 4 | 2022 |
| Steady state analysis of load balancing algorithms in the heavy traffic regime X Liu Arizona State University, 2019 | 4 | 2019 |
Lei YingProfessor at the University of Michigan, Ann ArborVerified email at umich.edu
