Zhiwei (Tony) Qin

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 38

Top Topics

Online Marketplaces

Contextual Bandit

Reinforcement Learning

Top Venues

INFORMS J. Appl. Anal.

Publications

Honghao Wei, Zixian Yang, Xin Liu, Zhiwei (Tony) Qin, Xiaocheng Tang, Lei Ying
A Reinforcement Learning and Prediction-Based Lookahead Policy for Vehicle Repositioning in Online Ride-Hailing Systems. IEEE Trans. Intell. Transp. Syst. 25 (2) (2024)
Xabi Azagirre, Akshay Balwally, Guillaume Candeli, Nicholas Chamandy, Benjamin Han, Alona King, Hyungjun Lee, Martin Loncaric, Sébastien Martin, Vijay Narasiman, Zhiwei (Tony) Qin, Baptiste Richard, Sara Smoot, Sean Taylor, Garrett J. van Ryzin, Di Wu, Fei Yu, Alex Zamoshchin
A Better Match for Drivers and Riders: Reinforcement Learning at Lyft. INFORMS J. Appl. Anal. 54 (1) (2024)
Zhiwei (Tony) Qin, Rui Song, Jieping Ye, Hongtu Zhu, Michael I. Jordan
KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces. KDD (2023)
Alex Chin, Zhiwei (Tony) Qin
A Unified Representation Framework for Rideshare Marketplace Equilibrium and Efficiency. SIGSPATIAL/GIS (2023)
Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan
Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond. KDD (2022)
Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan
KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond. SIGKDD Explor. 24 (2) (2022)
Zhiwei (Tony) Qin, Hongtu Zhu, Jieping Ye
Reinforcement Learning for Ridesharing: A Survey. ITSC (2021)
Xiong-Hui Chen, Yang Yu, Qingyang Li, Fan-Ming Luo, Zhiwei (Tony) Qin, Wenjie Shang, Jieping Ye
Offline Model-based Adaptable Policy Learning. NeurIPS (2021)
Wenjie Shang, Qingyang Li, Zhiwei (Tony) Qin, Yang Yu, Yiping Meng, Jieping Ye
Partially observable environment estimation with uplift inference for reinforcement learning based recommendation. Mach. Learn. 110 (9) (2021)
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. KDD (2021)
Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
A Deep Value-network Based Approach for Multi-Driver Order Dispatching. CoRR (2021)
Zhiwei (Tony) Qin, Hongtu Zhu, Jieping Ye
Reinforcement Learning for Ridesharing: A Survey. CoRR (2021)
Yan Jiao, Xiaocheng Tang, Zhiwei (Tony) Qin, Shuaiji Li, Fan Zhang, Hongtu Zhu, Jieping Ye
Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning. CoRR (2021)
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. CoRR (2021)
Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. WWW (2020)
Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. CoRR (2020)
Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Zhe Xu, Hongtu Zhu, Jieping Ye
Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning. INFORMS J. Appl. Anal. 50 (5) (2020)
Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. CoRR (2019)
Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CoRR (2019)
Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation. KDD (2019)
Tao Huang, Yintai Ma, Zhiwei (Tony) Qin, Jianfeng Zheng, Henry X. Liu, Hongtu Zhu, Jieping Ye
Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network. IEEE BigData (2019)
Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. WWW (2019)
Jiarui Jin, Ming Zhou, Weinan Zhang, Minne Li, Zilong Guo, Zhiwei (Tony) Qin, Yan Jiao, Xiaocheng Tang, Chenxi Wang, Jun Wang, Guobin Wu, Jieping Ye
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. CIKM (2019)
Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation. CoRR (2019)
Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
A Deep Value-network Based Approach for Multi-Driver Order Dispatching. KDD (2019)
Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. CIKM (2019)
John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem. CoRR (2019)
John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem. ICDM (2019)
Haipeng Chen, Yan Jiao, Zhiwei (Tony) Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye
InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. ICDM (2019)
Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Chenxi Wang, Qun (Tracy) Li
Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning. IJCAI (2019)
Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Zhichen Gong, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. CoRR (2019)
Zhiwei (Tony) Qin, Jian Tang, Jieping Ye
Deep Reinforcement Learning with Applications in Transportation. KDD (2019)
Ishan Jindal, Zhiwei (Tony) Qin, Xuewen Chen, Matthew S. Nokleby, Jieping Ye
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining. CoRR (2018)
Zhaodong Wang, Zhiwei (Tony) Qin, Xiaocheng Tang, Jieping Ye, Hongtu Zhu
Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching. ICDM (2018)
Ishan Jindal, Zhiwei (Tony) Qin, Xuewen Chen, Matthew S. Nokleby, Jieping Ye
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining. IEEE BigData (2018)
Zhiwei (Tony) Qin, John Bowman, Jagtej Bewli
A Bayesian framework for large-scale geo-demand estimation in on-line retailing. Ann. Oper. Res. 263 (1-2) (2018)
Zhiwei (Tony) Qin, Chengxiang Zhuo, Wei Tan, Jun Xie, Jieping Ye
Large-Scale Targeted Marketing by Supervised PageRank with Seeds. MLDM (2) (2018)
Ishan Jindal, Zhiwei (Tony) Qin, Xuewen Chen, Matthew S. Nokleby, Jieping Ye
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip. CoRR (2017)
Zhiwei (Tony) Qin, Donald Goldfarb, Shiqian Ma
An alternating direction method for total variation denoising. Optim. Methods Softw. 30 (3) (2015)
Long He, Zhiwei (Tony) Qin, Jagtej Bewli
Low-Rank Tensor Recovery for Geo-Demand Estimation in Online Retailing. INNS Conference on Big Data (2015)
Zhiwei (Tony) Qin, Xiaocheng Tang, Ioannis Akrotirianakis, Amit Chakraborty
HIPAD - A Hybrid Interior-Point Alternating Direction Algorithm for Knowledge-Based SVM and Feature Selection. LION (2014)
Donald Goldfarb, Zhiwei (Tony) Qin
Robust Low-Rank Tensor Recovery: Models and Algorithms. SIAM J. Matrix Anal. Appl. 35 (1) (2014)
Zhiwei (Tony) Qin, Xiaocheng Tang, Ioannis Akrotirianakis, Amit Chakraborty
HIPAD - A Hybrid Interior-Point Alternating Direction algorithm for knowledge-based SVM and feature selection. CoRR (2014)
Zhiwei (Tony) Qin, Katya Scheinberg, Donald Goldfarb
Efficient block-coordinate descent algorithms for the Group Lasso. Math. Program. Comput. 5 (2) (2013)
Zhiwei (Tony) Qin, Donald Goldfarb
Structured Sparsity via Alternating Direction Methods. J. Mach. Learn. Res. 13 (2012)
Zhiwei (Tony) Qin, Donald Goldfarb
Structured Sparsity via Alternating Directions Methods CoRR (2011)