Zhiwei (Tony) Qin
Zhiwei (Tony) Qin
Principal Scientist, Lyft Rideshare Labs
Verified email at - Homepage
Cited by
Cited by
Robust low-rank tensor recovery: Models and algorithms
D Goldfarb, Z Qin
SIAM Journal on Matrix Analysis and Applications 35 (1), 225-253, 2014
Efficient block-coordinate descent algorithms for the group lasso
Z Qin, K Scheinberg, D Goldfarb
Mathematical Programming Computation 5 (2), 143-169, 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
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
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
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
Structured sparsity via alternating direction methods
Z Qin, D Goldfarb
The Journal of Machine Learning Research 13 (1), 1373-1406, 2012
An alternating direction method for total variation denoising
Z Qin, D Goldfarb, S Ma
Optimization Methods and Software, 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
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
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
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
Sparse reinforcement learning via convex optimization
Z Qin, W Li, F Janoos
International Conference on Machine Learning, 424-432, 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
Inventory mirroring in a heterogeneous fulfillment network
Z Qin
US Patent 10,650,344, 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
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
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
Joint variable selection for data envelopement analysis via group sparsity
Z Qin, I Song
arXiv preprint arXiv:1402.3740, 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
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