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Context-aware, preference-based vehicle routing

The VLDB journal, 2020-09, Vol.29 (5), p.1149-1170

2020

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Path cost distribution estimation using trajectory data

Proceedings of the VLDB Endowment, 2016-11, Vol.10 (3), p.85-96

2016

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Personalized route recommendation using big trajectory data

2015 IEEE 31st International Conference on Data Engineering, 2015, p.543-554

2015

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Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks

2020 IEEE 36th International Conference on Data Engineering (ICDE), 2020, p.1417-1428

2020

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Learning to Route with Sparse Trajectory Sets

2018 IEEE 34th International Conference on Data Engineering (ICDE), 2018, p.1073-1084

2018

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AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting

The VLDB journal, 2024, Vol.33 (5), p.1743-1770

2024

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Stochastic skyline route planning under time-varying uncertainty

2014 IEEE 30th International Conference on Data Engineering, 2014, p.136-147

2014

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EcoSky: Reducing vehicular environmental impact through eco-routing

2015 IEEE 31st International Conference on Data Engineering, 2015, p.1412-1415

2015

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Travel cost inference from sparse, spatio temporally correlated time series using Markov models

Proceedings of the VLDB Endowment, 2013-07, Vol.6 (9), p.769-780

2013

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AutoCTS: automated correlated time series forecasting

Proceedings of the VLDB Endowment, 2021-12, Vol.15 (4), p.971-983

2021

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Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks

2019 IEEE 35th International Conference on Data Engineering (ICDE), 2019, p.1274-1285

2019

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Toward personalized, context-aware routing

The VLDB journal, 2015-04, Vol.24 (2), p.297-318

2015

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Unsupervised time series outlier detection with diversity-driven convolutional ensembles

Proceedings of the VLDB Endowment, 2021-11, Vol.15 (3), p.611-623

2021

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Context-Aware Path Ranking in Road Networks

IEEE transactions on knowledge and data engineering, 2022-07, Vol.34 (7), p.3153-3168

2022

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Multiple Time Series Forecasting with Dynamic Graph Modeling

Proceedings of the VLDB Endowment, 2023-12, Vol.17 (4), p.753-765

2023

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CGF: A Category Guidance Based PM Sequence Forecasting Training Framework

IEEE transactions on knowledge and data engineering, 2023-10, Vol.35 (10), p.1-14

2023

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QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models

Proceedings of the VLDB Endowment, 2024-07, Vol.17 (11), p.2708-2721

2024

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Efficient Stochastic Routing in Path-Centric Uncertain Road Networks

Proceedings of the VLDB Endowment, 2024-07, Vol.17 (11), p.2893-2905

2024

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Weakly Guided Adaptation for Robust Time Series Forecasting

Proceedings of the VLDB Endowment, 2023-12, Vol.17 (4), p.766-779

2023

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Real-time distributed co-movement pattern detection on streaming trajectories

Proceedings of the VLDB Endowment, 2019-06, Vol.12 (10), p.1208-1220

2019

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PACE: a PAth-CEntric paradigm for stochastic path finding

The VLDB journal, 2018-04, Vol.27 (2), p.153-178

2018

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Risk-aware path selection with time-varying, uncertain travel costs: a time series approach

The VLDB journal, 2018-04, Vol.27 (2), p.179-200

2018

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Towards Spatio- Temporal Aware Traffic Time Series Forecasting

2022 IEEE 38th International Conference on Data Engineering (ICDE), 2022, p.2900-2913

2022

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TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

Proceedings of the VLDB Endowment, 2024-05, Vol.17 (9), p.2363-2377

2024

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EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting

2021 IEEE 37th International Conference on Data Engineering (ICDE), 2021, p.1739-1750

2021

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Context-aware, preference-based vehicle routing

Path cost distribution estimation using trajectory data

Personalized route recommendation using big trajectory data

Stochastic Origin-Destination Matrix Forecasting Using Dual-Stage Graph Convolutional, Recurrent Neural Networks

Learning to Route with Sparse Trajectory Sets

AutoCTS++: zero-shot joint neural architecture and hyperparameter search for correlated time series forecasting

Stochastic skyline route planning under time-varying uncertainty

EcoSky: Reducing vehicular environmental impact through eco-routing

Travel cost inference from sparse, spatio temporally correlated time series using Markov models

AutoCTS: automated correlated time series forecasting

Stochastic Weight Completion for Road Networks Using Graph Convolutional Networks

Toward personalized, context-aware routing

Unsupervised time series outlier detection with diversity-driven convolutional ensembles

Context-Aware Path Ranking in Road Networks

Multiple Time Series Forecasting with Dynamic Graph Modeling

CGF: A Category Guidance Based PM Sequence Forecasting Training Framework

QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models

Efficient Stochastic Routing in Path-Centric Uncertain Road Networks

Weakly Guided Adaptation for Robust Time Series Forecasting

Real-time distributed co-movement pattern detection on streaming trajectories

PACE: a PAth-CEntric paradigm for stochastic path finding

Risk-aware path selection with time-varying, uncertain travel costs: a time series approach

Towards Spatio- Temporal Aware Traffic Time Series Forecasting

TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

EnhanceNet: Plugin Neural Networks for Enhancing Correlated Time Series Forecasting

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