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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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02/25/2023
Data Imputation for Sparse Radio Maps in Indoor Positioning (Extended Version)
Indoor location-based services rely on the availability of sufficiently ...
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02/24/2023
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation – Extended Version
Due to the sweeping digitalization of processes, increasingly vast amoun...
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02/23/2023
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
Correlated time series (CTS) forecasting plays an essential role in many...
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12/20/2022
A Pattern Discovery Approach to Multivariate Time Series Forecasting
Multivariate time series forecasting constitutes important functionality...
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11/29/2022
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting
Sensors in cyber-physical systems often capture interconnected processes...
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09/10/2022
A Comparative Study on Unsupervised Anomaly Detection for Time Series: Experiments and Analysis
The continued digitization of societal processes translates into a proli...
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08/22/2022
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
Deep learning technologies have demonstrated remarkable effectiveness in...
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06/18/2022
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting
We all depend on mobility, and vehicular transportation affects the dail...
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04/21/2022
Maximizing the Influence of Bichromatic Reverse k Nearest Neighbors in Geo-Social Networks
Geo-social networks offer opportunities for the marketing and promotion ...
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04/07/2022
Robust and Explainable Autoencoders for Unsupervised Time Series Outlier Detection—Extended Version
Time series data occurs widely, and outlier detection is a fundamental p...
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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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12/21/2021
AutoCTS: Automated Correlated Time Series Forecasting – Extended Version
Correlated time series (CTS) forecasting plays an essential role in many...
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12/17/2021
Deep Spatially and Temporally Aware Similarity Computation for Road Network Constrained Trajectories
Trajectory similarity computation has drawn massive attention, as it is ...
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11/22/2021
Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles – Extended Version
With the sweeping digitalization of societal, medical, industrial, and s...
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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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07/06/2021
PM-LSH: a fast and accurate in-memory framework for high-dimensional approximate NN and closest pair search
Nearest neighbor (NN) search is inherently computationally expensive in ...
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04/27/2021
UniTE – The Best of Both Worlds: Unifying Function-Fitting and Aggregation-Based Approaches to Travel Time and Travel Speed Estimation
Travel time or speed estimation are part of many intelligent transportat...
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01/22/2021
REPOSE: Distributed Top-k Trajectory Similarity Search with Local Reference Point Tries
Trajectory similarity computation is a fundamental component in a variet...
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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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06/16/2020
Relational Fusion Networks: Graph Convolutional Networks for Road Networks
The application of machine learning techniques in the setting of road ne...
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05/07/2020
Indexing Metric Spaces for Exact Similarity Search
With the continued digitalization of societal processes, we are seeing a...
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03/18/2020
PolyFit: Polynomial-based Indexing Approach for Fast Approximate Range Aggregate Queries
Range aggregate queries find frequent application in data analytics. In ...
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11/14/2019
On Network Embedding for Machine Learning on Road Networks: A Case Study on the Danish Road Network
Road networks are a type of spatial network, where edges may be associat...
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08/30/2019
Graph Convolutional Networks for Road Networks
Machine learning techniques for road networks hold the potential to faci...
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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
Learning to Route with Sparse Trajectory Sets---Extended Version
Motivated by the increasing availability of vehicle trajectory data, we ...
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11/07/2017
