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A Deep Value-network Based Approach for Multi-Driver Order Dispatching


Jun 08, 2021
Xiaocheng Tang, Zhiwei Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye

* KDD 2019 Oral 

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Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms


Jun 04, 2021
Xiaocheng Tang, Fan Zhang, Zhiwei Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye

* KDD 2021; Ride-hailing marketplace open simulation platform: https://outreach.didichuxing.com/Simulation/ 

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Reinforcement Learning for Ridesharing: A Survey


May 03, 2021
Zhiwei Qin, Hongtu Zhu, Jieping Ye


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Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning


Mar 08, 2021
Yan Jiao, Xiaocheng Tang, Zhiwei Qin, Shuaiji Li, Fan Zhang, Hongtu Zhu, Jieping Ye


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Value-based Bayesian Meta-reinforcement Learning and Traffic Signal Control


Oct 01, 2020
Yayi Zou, Zhiwei Qin


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Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation


Apr 06, 2020
Mengyue Yang, Qingyang Li, Zhiwei Qin, Jieping Ye

* Accepted for publication at WWW (The Web Conference) 2020 

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Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem


Nov 25, 2019
John Holler, Risto Vuorio, Zhiwei Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye

* ICDM 2019 Short Paper 

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Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching


Oct 07, 2019
Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye

* 9 pages,13 figures 

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Similarity Kernel and Clustering via Random Projection Forests


Aug 28, 2019
Donghui Yan, Songxiang Gu, Ying Xu, Zhiwei Qin

* 22 pages, 5 figures 

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Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation


Jul 12, 2019
Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei Qin, Yiping Meng, Jieping Ye

* Appears in KDD 2019 

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Cost-sensitive Selection of Variables by Ensemble of Model Sequences


Jan 02, 2019
Donghui Yan, Zhiwei Qin, Songxiang Gu, Haiping Xu, Ming Shao

* 22 pages, 9 figures 

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Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining


Nov 11, 2018
Ishan Jindal, Zhiwei Qin, Xuewen Chen, Matthew Nokleby, Jieping Ye

* Accepted at IEEE International Conference on Big Data 2018. arXiv admin note: text overlap with arXiv:1710.04350 

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HIPAD - A Hybrid Interior-Point Alternating Direction algorithm for knowledge-based SVM and feature selection


Nov 16, 2014
Zhiwei Qin, Xiaocheng Tang, Ioannis Akrotirianakis, Amit Chakraborty

* Proceedings of 8th Learning and Intelligent OptimizatioN (LION8) Conference, 2014 

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Robust Low-rank Tensor Recovery: Models and Algorithms


Nov 24, 2013
Donald Goldfarb, Zhiwei Qin

* appearing in SIAM Journal on Matrix Analysis and Applications 

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Structured Sparsity via Alternating Direction Methods


Dec 15, 2011
Zhiwei Qin, Donald Goldfarb

* Journal of Machine Learning Research 13 (2012) 1435-1468 

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