research
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07/19/2023
LightPath: Lightweight and Scalable Path Representation Learning
Movement paths are used widely in intelligent transportation and smart c...
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07/06/2023
Origin-Destination Travel Time Oracle for Map-based Services
Given an origin (O), a destination (D), and a departure time (T), an Ori...
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06/08/2023
A Crystal-Specific Pre-Training Framework for Crystal Material Property Prediction
Crystal property prediction is a crucial aspect of developing novel mate...
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03/30/2022
Weakly-supervised Temporal Path Representation Learning with Contrastive Curriculum Learning – Extended Version
In step with the digitalization of transportation, we are witnessing a g...
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11/25/2021
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule
Differentiable Architecture Search (DARTS) has received massive attentio...
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09/23/2021
Evolutionary Clustering of Streaming Trajectories
The widespread deployment of smartphones and location-enabled, networked...
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06/17/2021
Unsupervised Path Representation Learning with Curriculum Negative Sampling
Path representations are critical in a variety of transportation applica...
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09/24/2020
SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply
We consider a setting with an evolving set of requests for transportatio...
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02/26/2020
Infinitely Wide Graph Convolutional Networks: Semi-supervised Learning via Gaussian Processes
Graph convolutional neural networks (GCNs) have recently demonstrated pr...
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11/13/2018
Recurrent Multi-Graph Neural Networks for Travel Cost Prediction
Origin-destination (OD) matrices are often used in urban planning, where...
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02/22/2018