Xiang Yan | DeepAI

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∙ 08/09/2023

A Hierarchical Destroy and Repair Approach for Solving Very Large-Scale Travelling Salesman Problem

For prohibitively large-scale Travelling Salesman Problems (TSPs), exist...

0 Zhang-Hua Fu, et al. ∙

∙ 09/16/2022

Examining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning

The growing significance of ridesourcing services in recent years sugges...

0 Xiaojian Zhang, et al. ∙

∙ 08/19/2022

Spatial Equity of Micromobility Systems: A Comparison of Shared E-scooters and Station-based Bikeshare in Washington DC

Many cities around the world have introduced dockless micromobility serv...

0 Lin Su, et al. ∙

∙ 01/29/2022

A Context-Integrated Transformer-Based Neural Network for Auction Design

One of the central problems in auction design is developing an incentive...

0 Zhijian Duan, et al. ∙

∙ 12/24/2021

Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation

3D human pose and shape recovery from a monocular RGB image is a challen...

0 Zhiwei Liu, et al. ∙

∙ 09/16/2021

Estimating Wildfire Evacuation Decision and Departure Timing Using Large-Scale GPS Data

With increased frequency and intensity due to climate change, wildfires ...

0 Xilei Zhao, et al. ∙

∙ 03/11/2021

Do e-scooters fill mobility gaps and promote equity before and during COVID-19? A spatiotemporal analysis using open big data

The growing popularity of e-scooters and their rapid expansion across ur...

0 Xiang Yan, et al. ∙

∙ 10/19/2020

Micromobility Trip Origin and Destination Inference Using General Bikeshare Feed Specification (GBFS) Data

Emerging micromobility services (e.g., e-scooters) have a great potentia...

0 Yiming Xu, et al. ∙

∙ 10/12/2020

A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling

The Empirical Revenue Maximization (ERM) is one of the most important pr...

0 Xiaotie Deng, et al. ∙

∙ 02/18/2020

Strategyproof Facility Location Mechanisms with Richer Action Spaces

We study facility location problems where agents control multiple locati...

0 Xiang Yan, et al. ∙

∙ 10/30/2019

Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation

Machine learning has proved to be very successful for making predictions...

11 Xilei Zhao, et al. ∙

∙ 10/26/2019

Finding Mixed Strategy Nash Equilibrium for Continuous Games through Deep Learning

Nash equilibrium has long been a desired solution concept in multi-playe...

0 Zehao Dou, et al. ∙

∙ 05/05/2019

A Polynomial Time Algorithm for Fair Resource Allocation in Resource Exchange

The rapid growth of wireless and mobile Internet has led to wide applica...

0 Xiang Yan, et al. ∙

∙ 02/08/2019

Modeling Heterogeneity in Mode-Switching Behavior Under a Mobility-on-Demand Transit System: An Interpretable Machine Learning Approach

Recent years have witnessed an increased focus on interpretability and t...

0 Xilei Zhao, et al. ∙

∙ 02/07/2019

Cost-Effective Incentive Allocation via Structured Counterfactual Inference

We address a practical problem ubiquitous in modern industry, in which a...

8 Romain Lopez, et al. ∙

∙ 01/22/2019

Mobility-on-demand versus fixed-route transit systems: an evaluation of traveler preferences in low-income communities

Emerging transportation technologies, such as ride-hailing and autonomou...

0 Xiang Yan, et al. ∙

∙ 11/26/2018

A Policy Gradient Method with Variance Reduction for Uplift Modeling

Uplift modeling aims to directly model the incremental impact of a treat...

0 Chenchen Li, et al. ∙

∙ 11/04/2018

Modeling Stated Preference for Mobility-on-Demand Transit: A Comparison of Machine Learning and Logit Models

Logit models are usually applied when studying individual travel behavio...

0 Xilei Zhao, et al. ∙

∙ 08/23/2018

Latent Dirichlet Allocation for Internet Price War

Internet market makers are always facing intense competitive environment...

0 Chenchen Li, et al. ∙

∙ 06/19/2018

Unsupervised Deep Multi-focus Image Fusion

Convolutional neural networks have recently been used for multi-focus im...

0 Xiang Yan, et al. ∙

∙ 04/26/2018

Deep Keyframe Detection in Human Action Videos

Detecting representative frames in videos based on human actions is quit...

0 Xiang Yan, et al. ∙

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