| Robust low-rank tensor recovery: Models and algorithms D Goldfarb, Z Qin SIAM Journal on Matrix Analysis and Applications 35 (1), 225-253, 2014 | 383 | 2014 |
| Efficient block-coordinate descent algorithms for the group lasso Z Qin, K Scheinberg, D Goldfarb Mathematical Programming Computation 5 (2), 143-169, 2013 | 220 | 2013 |
| Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning M Li, Z Qin, Y Jiao, Y Yang, J Wang, C Wang, G Wu, J Ye WWW '19 The World Wide Web Conference, 983-994, 2019 | 215 | 2019 |
| A deep value-network based approach for multi-driver order dispatching X Tang, Z Qin, F Zhang, Z Wang, Z Xu, Y Ma, H Zhu, J Ye Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 124 | 2019 |
| Optimizing taxi carpool policies via reinforcement learning and spatio-temporal mining I Jindal, ZT Qin, X Chen, M Nokleby, J Ye 2018 IEEE International Conference on Big Data (Big Data), 1417-1426, 2018 | 117* | 2018 |
| Deep reinforcement learning with knowledge transfer for online rides order dispatching Z Wang, Z Qin, X Tang, J Ye, H Zhu 2018 IEEE International Conference on Data Mining (ICDM), 617-626, 2018 | 107 | 2018 |
| Coride: joint order dispatching and fleet management for multi-scale ride-hailing platforms J Jin, M Zhou, W Zhang, M Li, Z Guo, Z Qin, Y Jiao, X Tang, C Wang, ... Proceedings of the 28th ACM International Conference on Information and …, 2019 | 78 | 2019 |
| Structured sparsity via alternating direction methods Z Qin, D Goldfarb The Journal of Machine Learning Research 13 (1), 1373-1406, 2012 | 74 | 2012 |
| Deep reinforcement learning for multi-driver vehicle dispatching and repositioning problem J Holler, R Vuorio, Z Qin, X Tang, Y Jiao, T Jin, S Singh, C Wang, J Ye 2019 IEEE International Conference on Data Mining (ICDM), 1090-1095, 2019 | 73 | 2019 |
| Multi-agent reinforcement learning for order-dispatching via order-vehicle distribution matching M Zhou, J Jin, W Zhang, Z Qin, Y Jiao, C Wang, G Wu, Y Yu, J Ye Proceedings of the 28th ACM international conference on information and …, 2019 | 73 | 2019 |
| Ride-hailing order dispatching at didi via reinforcement learning Z Qin, X Tang, Y Jiao, F Zhang, Z Xu, H Zhu, J Ye INFORMS Journal on Applied Analytics 50 (5), 272-286, 2020 | 66 | 2020 |
| An alternating direction method for total variation denoising Z Qin, D Goldfarb, S Ma Optimization Methods and Software, 2011 | 57* | 2011 |
| Environment reconstruction with hidden confounders for reinforcement learning based recommendation W Shang, Y Yu, Q Li, Z Qin, Y Meng, J Ye Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 41 | 2019 |
| Sparse reinforcement learning via convex optimization Z Qin, W Li, F Janoos International Conference on Machine Learning, 424-432, 2014 | 31 | 2014 |
| Inventory mirroring in a heterogeneous fulfillment network Z Qin US Patent 10,650,344, 2020 | 30 | 2020 |
| Multi-modal graph interaction for multi-graph convolution network in urban spatiotemporal forecasting L Zhang, X Geng, Z Qin, H Wang, X Wang, Y Zhang, J Liang, G Wu, ... Sustainability 14 (19), 12397, 2022 | 27 | 2022 |
| Real-world ride-hailing vehicle repositioning using deep reinforcement learning Y Jiao, X Tang, ZT Qin, S Li, F Zhang, H Zhu, J Ye Transportation Research Part C: Emerging Technologies 130, 103289, 2021 | 26 | 2021 |
| On the performance of tailored base-surge policies: theory and application at walmart. com L Xin, L He, J Bewli, J Bowman, H Feng, Z Qin Com (December 18, 2017), 2017 | 19 | 2017 |
| Inbede: Integrating contextual bandit with td learning for joint pricing and dispatch of ride-hailing platforms H Chen, Y Jiao, Z Qin, X Tang, H Li, B An, H Zhu, J Ye 2019 IEEE International Conference on Data Mining (ICDM), 61-70, 2019 | 18 | 2019 |
| Reinforcement learning for ridesharing: A survey ZT Qin, H Zhu, J Ye 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 16 | 2021 |
Jieping Ye, IEEE Fellow & ACM Distin...Alibaba DAMO AcademyVerified email at umich.edu
