Zhiwei Qin

发表

Robust Low-Rank Tensor Recovery: Models and Algorithms

Donald Goldfarb, Zhiwei Qin, D. Goldfarb, 2013, SIAM J. Matrix Anal. Appl..

Noname manuscript No. (will be inserted by the editor) Efficient Block-coordinate Descent Algorithms for the Group Lasso

Katya Scheinberg, Donald Goldfarb, Zhiwei Qin, 2022 .

An alternating direction method for total variation denoising

Shiqian Ma, Donald Goldfarb, Zhiwei Qin, 2011, Optim. Methods Softw..

Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching

Jieping Ye, Zhiwei Qin, Xiaocheng Tang, 2021, 2021 IEEE International Conference on Data Mining (ICDM).

Reinforcement Learning for Ridesharing: An Extended Survey

Jieping Ye, Zhiwei Qin, Hongtu Zhu, 2021, 2105.01099.

Strong Radiation Field Online Detection and Monitoring System with Camera

Yang Liu, Zhiwei Qin, Yongchao Han, 2022, Sensors.

Optimizing Bike-Share Repositioning: Networked Inventory Management with Spatiotemporal Modeling

Zhiwei Qin, Hongtu Zhu, Chunyi Liu, 2021, 2021 IEEE International Conference on Big Data (Big Data).

A Bayesian framework for large-scale geo-demand estimation in on-line retailing

Zhiwei Qin, John C. Bowman, Jagtej Bewli, 2017, Annals of Operations Research.

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

Yongxin Tong, Jieping Ye, Xiaocheng Tang, 2021, KDD.

2 A Variable-Splitting Augmented Lagrangian Framework pdf

Donald Goldfarb, Zhiwei Qin, D. Goldfarb, 2011 .

Reinforcement learning for ridesharing: An extended survey

Jieping Ye, Zhiwei Qin, Hongtu Zhu, 2021, Transportation Research Part C: Emerging Technologies.

Reinforcement Learning for Ridesharing: A Survey

Jieping Ye, Zhiwei Qin, Hongtu Zhu, 2021, 2021 IEEE International Intelligent Transportation Systems Conference (ITSC).

KDD 2022 Workshop on Decision Intelligence and Analytics for Online Marketplaces

Zhiwei Qin, M. Korayem, Liangjie Hong, 2022, SIGKDD Explor..

Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond

Zhiwei Qin, M. Korayem, Liangjie Hong, 2022, KDD.

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

Fan Zhang, Jieping Ye, Xiaocheng Tang, 2021, ArXiv.

Ride-Hailing Order Dispatching at DiDi via Reinforcement Learning

Fan Zhang, Jieping Ye, Zhe Xu, 2020, INFORMS J. Appl. Anal..

Sim2Rec: A Simulator-based Decision-making Approach to Optimize Real-World Long-term User Engagement in Sequential Recommender Systems

Jieping Ye, Zhiwei Qin, Xiong-Hui Chen, 2023, 2023 IEEE 39th International Conference on Data Engineering (ICDE).

Offline Model-based Adaptable Policy Learning

Jieping Ye, Zhiwei Qin, Qingyang Li, 2021, NeurIPS.

Reinforcement Learning in the Wild: Scalable RL Dispatching Algorithm Deployed in Ridehailing Marketplace

Zhiwei Qin, Xiaocheng Tang, Jia Xu, 2022, KDD.

Multiple Tiered Treatments Optimization with Causal Inference on Response Distribution

Zhiwei Qin, Qingyang Li, Tao Huang, 2022, 2022 IEEE International Conference on Big Data (Big Data).

Dynamic Rebalancing Dockless Bike-Sharing System based on Station Community Discovery

Donghai Shi, Qiang Wang, Wenqi Zhang, 2021, IJCAI.

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

Satinder Singh, Jieping Ye, Risto Vuorio, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Reinforcement learning for ridesharing: An extended survey

Jieping Ye, Zhiwei Qin, Hongtu Zhu, 2021, Transportation Research Part C: Emerging Technologies.

The analysis and detection of orbit maneuvers for the BeiDou satellites based on orbital elements

Zhiwei Qin, Qin Zhang, Xiaolei Wang, 2021, Acta Geodaetica et Geophysica.

A Deep Value-based Policy Search Approach for Real-world Vehicle Repositioning on Mobility-on-Demand Platforms

Jieping Ye, Zhiwei Qin, Xiaocheng Tang, 2020 .

Effects of Threshold-Based Incentives on Drivers' Labor Supply Behavior

Zhiwei Qin, Yafeng Yin, Zhengtian Xu, 2023, SSRN Electronic Journal.

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

Jieping Ye, Matthew S. Nokleby, Zhiwei Qin, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Combinatorial Optimization Meets Reinforcement Learning: Effective Taxi Order Dispatching at Large-Scale

Zhiwei Qin, Yongxin Tong, Xiaocheng Tang, 2023, IEEE Transactions on Knowledge and Data Engineering.

InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms

Bo An, Jieping Ye, Hongtu Zhu, 2019, 2019 IEEE International Conference on Data Mining (ICDM).

Deep Reinforcement Learning with Applications in Transportation

Jieping Ye, Jian Tang, Zhiwei Qin, 2019, KDD.

Spatio-temporal Incentives Optimization for Ride-hailing Services with Offline Deep Reinforcement Learning

Zhiwei Qin, Yanqiu Wu, Qingyang Li, 2022, ArXiv.

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

Zhiwei Qin, Yayi Zou, Zhiwei Qin, 2020, ArXiv.

Bayesian Meta-reinforcement Learning for Traffic Signal Control

Zhiwei Qin, Yayi Zou, 2020, 2010.00163.

Structured Sparsity via Alternating Direction Methods

D. Goldfarb, Zhiwei Qin, 2011, J. Mach. Learn. Res..

Offline Model-Based Adaptable Policy Learning for Decision-Making in Out-of-Support Regions

Jieping Ye, Zhiwei Qin, Qingyang Li, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation

Jieping Ye, Zhiwei Qin, Mengyue Yang, 2020, WWW.