| Robust low-rank tensor recovery: Models and algorithms D Goldfarb, Z Qin SIAM Journal on Matrix Analysis and Applications 35 (1), 225-253, 2014 | 346 | 2014 |
| Efficient block-coordinate descent algorithms for the group lasso Z Qin, K Scheinberg, D Goldfarb Mathematical Programming Computation 5 (2), 143-169, 2013 | 209 | 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 | 153 | 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 | 94* | 2018 |
| 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 | 86 | 2019 |
| 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 | 80 | 2018 |
| Structured sparsity via alternating direction methods Z Qin, D Goldfarb The Journal of Machine Learning Research 13 (1), 1373-1406, 2012 | 69 | 2012 |
| An alternating direction method for total variation denoising Z Qin, D Goldfarb, S Ma Optimization Methods and Software, 2011 | 56* | 2011 |
| 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 | 55 | 2019 |
| 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 | 46 | 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 | 45 | 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 | 39 | 2020 |
| Sparse reinforcement learning via convex optimization Z Qin, W Li, F Janoos International Conference on Machine Learning, 424-432, 2014 | 29 | 2014 |
| 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 | 26 | 2019 |
| Inventory mirroring in a heterogeneous fulfillment network Z Qin US Patent 10,650,344, 2020 | 23 | 2020 |
| 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 | 17 | 2017 |
| 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 | 10 | 2021 |
| 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 | 9 | 2019 |
| Joint variable selection for data envelopement analysis via group sparsity Z Qin, I Song arXiv preprint arXiv:1402.3740, 2014 | 9 | 2014 |
| The relationships between CG, BFGS, and two limited-memory algorithms ZT Qin Furman University Electronic Journal of Undergraduate Mathematics 12 (1), 5-20, 2007 | 9 | 2007 |
Jieping Ye, IEEE Fellow & ACM Distin...University of Michigan & BeikeVerified email at umich.edu
