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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...
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09/16/2022
Examining spatial heterogeneity of ridesourcing demand determinants with explainable machine learning
The growing significance of ridesourcing services in recent years sugges...
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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...
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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...
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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...
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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 ...
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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...
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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...
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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...
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02/18/2020
Strategyproof Facility Location Mechanisms with Richer Action Spaces
We study facility location problems where agents control multiple locati...
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10/30/2019
Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation
Machine learning has proved to be very successful for making predictions...
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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...
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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...
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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...
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02/07/2019
Cost-Effective Incentive Allocation via Structured Counterfactual Inference
We address a practical problem ubiquitous in modern industry, in which a...
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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...
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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...
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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...
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08/23/2018
Latent Dirichlet Allocation for Internet Price War
Internet market makers are always facing intense competitive environment...
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06/19/2018
Unsupervised Deep Multi-focus Image Fusion
Convolutional neural networks have recently been used for multi-focus im...
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04/26/2018
