88 citations · 185 across the 9 of their papers we have counts for
9 papers
A Deep Value-network Based Approach for Multi-Driver Order Dispatching
Xiaocheng Tang, Zhiwei Qin, Fan Zhang +5
Recent works on ride-sharing order dispatching have highlighted the importance of taking into account both the spatial and temporal dynamics in the dispatching process for improvin…
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching
Ming Zhou, Jiarui Jin, Weinan Zhang +6
Improving the efficiency of dispatching orders to vehicles is a research hotspot in online ride-hailing systems. Most of the existing solutions for order-dispatching are centralize…
Similarity Kernel and Clustering via Random Projection Forests
Donghui Yan, Songxiang Gu, Ying Xu +1
Similarity plays a fundamental role in many areas, including data mining, machine learning, statistics and various applied domains. Inspired by the success of ensemble methods and…
Environment Reconstruction with Hidden Confounders for Reinforcement Learning based Recommendation
Wenjie Shang, Yang Yu, Qingyang Li +3
Reinforcement learning aims at searching the best policy model for decision making, and has been shown powerful for sequential recommendations. The training of the policy by reinfo…
CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms
Jiarui Jin, Ming Zhou, Weinan Zhang +9
How to optimally dispatch orders to vehicles and how to tradeoff between immediate and future returns are fundamental questions for a typical ride-hailing platform. We model ride-h…
Efficient Ridesharing Order Dispatching with Mean Field Multi-Agent Reinforcement Learning
Minne Li, Zhiwei, Qin +7
A fundamental question in any peer-to-peer ridesharing system is how to, both effectively and efficiently, dispatch user's ride requests to the right driver in real time. Tradition…
Cost-sensitive Selection of Variables by Ensemble of Model Sequences
Donghui Yan, Zhiwei Qin, Songxiang Gu +2
Many applications require the collection of data on different variables or measurements over many system performance metrics. We term those broadly as measures or variables. Often…
HIPAD - A Hybrid Interior-Point Alternating Direction algorithm for knowledge-based SVM and feature selection
Zhiwei Qin, Xiaocheng Tang, Ioannis Akrotirianakis +1
We consider classification tasks in the regime of scarce labeled training data in high dimensional feature space, where specific expert knowledge is also available. We propose a ne…
Joint Variable Selection for Data Envelopement Analysis via Group Sparsity
Zhiwei Qin, Irene Song
This study develops a data-driven group variable selection method for data envelopment analysis (DEA), a non-parametric linear programming approach to the estimation of production…