Zhiwei (Tony) Qin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
5
Active years
2018–2023
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | KDD | KDD-2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces. | Zhiwei (Tony) Qin, Rui Song, Jieping Ye, Hongtu Zhu, Michael I. Jordan |
| 2022 | KDD | Decision Intelligence and Analytics for Online Marketplaces: Jobs, Ridesharing, Retail and Beyond. | Zhiwei (Tony) Qin, Liangjie Hong, Rui Song, Hongtu Zhu, Mohammed Korayem, Haiyan Luo, Michael I. Jordan |
| 2021 | ICDM | Multi-Objective Distributional Reinforcement Learning for Large-Scale Order Dispatching. | Fan Zhou, Chenfan Lu, Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Jieping Ye, Hongtu Zhu |
| 2021 | KDD | Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms. | Xiaocheng Tang, Fan Zhang, Zhiwei (Tony) Qin, Yansheng Wang, Dingyuan Shi, Bingchen Song, Yongxin Tong, Hongtu Zhu, Jieping Ye |
| 2020 | WWW | Hierarchical Adaptive Contextual Bandits for Resource Constraint based Recommendation. | Mengyue Yang, Qingyang Li, Zhiwei (Tony) Qin, Jieping Ye |
| 2019 | CIKM | CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms. | 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 | CIKM | Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. | Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye |
| 2019 | ICDM | InBEDE: Integrating Contextual Bandit with TD Learning for Joint Pricing and Dispatch of Ride-Hailing Platforms. | Haipeng Chen, Yan Jiao, Zhiwei (Tony) Qin, Xiaocheng Tang, Hao Li, Bo An, Hongtu Zhu, Jieping Ye |
| 2019 | ICDM | Deep Reinforcement Learning for Multi-driver Vehicle Dispatching and Repositioning Problem. | John Holler, Risto Vuorio, Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Tiancheng Jin, Satinder Singh, Chenxi Wang, Jieping Ye |
| 2019 | IJCAI | Deep Reinforcement Learning for Ride-sharing Dispatching and Repositioning. | Zhiwei (Tony) Qin, Xiaocheng Tang, Yan Jiao, Fan Zhang, Chenxi Wang, Qun (Tracy) Li |
| 2019 | KDD | Deep Reinforcement Learning with Applications in Transportation. | Zhiwei (Tony) Qin, Jian Tang, Jieping Ye |
| 2019 | KDD | Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation. | Wenjie Shang, Yang Yu, Qingyang Li, Zhiwei (Tony) Qin, Yiping Meng, Jieping Ye |
| 2019 | KDD | A Deep Value-network Based Approach for Multi-Driver Order Dispatching. | Xiaocheng Tang, Zhiwei (Tony) Qin, Fan Zhang, Zhaodong Wang, Zhe Xu, Yintai Ma, Hongtu Zhu, Jieping Ye |
| 2019 | WWW | Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning. | Minne Li, Zhiwei (Tony) Qin, Yan Jiao, Yaodong Yang, Jun Wang, Chenxi Wang, Guobin Wu, Jieping Ye |
| 2018 | ICDM | Deep Reinforcement Learning with Knowledge Transfer for Online Rides Order Dispatching. | Zhaodong Wang, Zhiwei (Tony) Qin, Xiaocheng Tang, Jieping Ye, Hongtu Zhu |