Zhiwei (Tony) Qin

50 papers A* 14A 3Journal 25Unranked 7
YearRankTypeTitle / Venue / Authors
2025 A conf
Eva: An LLM-based Multilingual Voice-agent Network for Restaurant Operations.
AAMAS
Zhiwei (Tony) Qin, JianMing Zhou
2024 J jnl
A Better Match for Drivers and Riders: Reinforcement Learning at Lyft.
INFORMS J. Appl. Anal.
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
2024 J jnl
A Reinforcement Learning and Prediction-Based Lookahead Policy for Vehicle Repositioning in Online Ride-Hailing Systems.
IEEE Trans. Intell. Transp. Syst.
Honghao Wei, Zixian Yang, Xin Liu, Zhiwei (Tony) Qin, Xiaocheng Tang, Lei Ying
2023 J jnl
A Better Match for Drivers and Riders: Reinforcement Learning at Lyft.
CoRR
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
2023 — conf
A Unified Representation Framework for Rideshare Marketplace Equilibrium and Efficiency.
SIGSPATIAL/GIS
Alex Chin, Zhiwei (Tony) Qin
2023 A* conf
KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces.
KDD
Zhiwei (Tony) Qin, Rui Song, Jieping Ye, Hongtu Zhu, Michael I. Jordan
2022 A* conf
Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond.
KDD
Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan
2022 J jnl
KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail, and Beyond.
SIGKDD Explor.
Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan
2021 J jnl
A Deep Value-network Based Approach for Multi-Driver Order Dispatching.
CoRR
Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
2021 A* conf
Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching.
ICDM
Fan Zhou, Chenfan Lu, Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Jieping Ye, Hongtu Zhu
2021 A* conf
Offline Model-based Adaptable Policy Learning.
NeurIPS
Xiong-Hui Chen, Yang Yu, Qingyang Li, Fan-Ming Luo, Zhiwei (Tony) Qin, Wenjie Shang, Jieping Ye
2021 J jnl
Partially observable environment estimation with uplift inference for reinforcement learning based recommendation.
Mach. Learn.
Wenjie Shang, Qingyang Li, Zhiwei (Tony) Qin, Yang Yu, Yiping Meng, Jieping Ye
2021 J jnl
Real-world Ride-hailing Vehicle Repositioning using Deep Reinforcement Learning.
CoRR
Yan Jiao, Xiaocheng Tang, Zhiwei (Tony) Qin, Shuaiji Li, Fan Zhang, Hongtu Zhu, Jieping Ye
2021 — conf
Reinforcement Learning for Ridesharing: A Survey.
ITSC
Zhiwei (Tony) Qin, Hongtu Zhu, Jieping Ye
2021 J jnl
Reinforcement Learning for Ridesharing: A Survey.
CoRR
Zhiwei (Tony) Qin, Hongtu Zhu, Jieping Ye
2021 A* conf
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms.
KDD
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
2021 J jnl
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms.
CoRR
Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye
2020 A* conf
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation.
WWW
Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye
2020 J jnl
Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation.
CoRR
Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye
2020 J jnl
Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning.
INFORMS J. Appl. Anal.
Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Zhe Xu, Hongtu Zhu, Jieping Ye
2019 A* conf
A Deep Value-network Based Approach for Multi-Driver Order Dispatching.
KDD
Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye
2019 A conf
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms.
CIKM
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
2019 J jnl
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms.
CoRR
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
2019 J jnl
Deep Reinforcement Learning for Multi-Driver Vehicle Dispatching and Repositioning Problem.
CoRR
John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
2019 A* conf
Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem.
ICDM
John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye
2019 A* conf
Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning.
IJCAI
Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Chenxi Wang, Qun (Tracy) Li
2019 A* conf
Deep Reinforcement Learning with Applications in Transportation.
KDD
Zhiwei (Tony) Qin, Jian Tang, Jieping Ye
2019 A* conf
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning.
WWW
Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye
2019 J jnl
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning.
CoRR
Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Zhichen Gong, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye
2019 A* conf
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation.
KDD
Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye
2019 J jnl
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation.
CoRR
Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye
2019 A* conf
InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms.
ICDM
Haipeng Chen, Yan Jiao, Zhiwei (Tony) Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye
2019 A conf
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching.
CIKM
Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye
2019 J jnl
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching.
CoRR
Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye
2019 — conf
Origin-destination Flow Prediction with Vehicle Trajectory Data and Semi-supervised Recurrent Neural Network.
IEEE BigData
Tao Huang, Yintai Ma, Zhiwei (Tony) Qin, Jianfeng Zheng, Henry X. Liu, Hongtu Zhu, Jieping Ye
2018 J jnl
A Bayesian framework for large-scale geo-demand estimation in on-line retailing.
Ann. Oper. Res.
Zhiwei (Tony) Qin, John Bowman, Jagtej Bewli
2018 A* conf
Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching.
ICDM
Zhaodong Wang, Zhiwei (Tony) Qin, Xiaocheng Tang, Jieping Ye, Hongtu Zhu
2018 — conf
Large-Scale Targeted Marketing by Supervised PageRank with Seeds.
MLDM (2)
Zhiwei (Tony) Qin, Chengxiang Zhuo, Wei Tan, Jun Xie, Jieping Ye
2018 — conf
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining.
IEEE BigData
Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye
2018 J jnl
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining.
CoRR
Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye
2017 J jnl
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip.
CoRR
Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye
2015 J jnl
An alternating direction method for total variation denoising.
Optim. Methods Softw.
Zhiwei (Tony) Qin, Donald Goldfarb, Shiqian Ma
2015 — conf
Low-Rank Tensor Recovery for Geo-Demand Estimation in Online Retailing.
INNS Conference on Big Data
Long He, Zhiwei (Tony) Qin, Jagtej Bewli
2014 — conf
HIPAD - A Hybrid Interior-Point Alternating Direction Algorithm for Knowledge-Based SVM and Feature Selection.
LION
Zhiwei (Tony) Qin, Xiaocheng Tang, Ioannis Akrotirianakis, Amit Chakraborty
2014 J jnl
HIPAD - A Hybrid Interior-Point Alternating Direction algorithm for knowledge-based SVM and feature selection.
CoRR
Zhiwei (Tony) Qin, Xiaocheng Tang, Ioannis Akrotirianakis, Amit Chakraborty
2014 J jnl
Robust Low-Rank Tensor Recovery: Models and Algorithms.
SIAM J. Matrix Anal. Appl.
Donald Goldfarb, Zhiwei (Tony) Qin
2013 J jnl
Efficient block-coordinate descent algorithms for the Group Lasso.
Math. Program. Comput.
Zhiwei (Tony) Qin, Katya Scheinberg, Donald Goldfarb
2013 — —
Optimization Algorithms for Structured Machine Learning and Image Processing Problems.
Zhiwei (Tony) Qin
2012 J jnl
Structured Sparsity via Alternating Direction Methods.
J. Mach. Learn. Res.
Zhiwei (Tony) Qin, Donald Goldfarb
2011 J jnl
Structured Sparsity via Alternating Directions Methods
CoRR
Zhiwei (Tony) Qin, Donald Goldfarb