Lingyu Zhang

Orcid: 0000-0002-4651-7991

Affiliations:

Didi Chuxing AI Labs, Beijing, China

According to our database¹, Lingyu Zhang authored at least 25 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Bibliography

2024

Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Evaluating the Generalization Ability of Spatiotemporal Model in Urban Scenario.

[BibT_eX]

[DOI]

CoRR, 2024

STGformer: Efficient Spatiotemporal Graph Transformer for Traffic Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Robust Traffic Forecasting against Spatial Shift over Years.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Multi-Task Weakly Supervised Learning for Origin-Destination Travel Time Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

Putting Teams into the Gig Economy: A Field Experiment at a Ride-Sharing Platform.

[BibT_eX]

[DOI]

Manag. Sci., September, 2023

Discovering Key Sub-Trajectories to Explain Traffic Prediction.

[BibT_eX]

[DOI]

Sensors, 2023

Multitask Weakly Supervised Learning for Origin Destination Travel Time Estimation.

[BibT_eX]

[DOI]

CoRR, 2023

Easy Begun Is Half Done: Spatial-Temporal Graph Modeling with ST-Curriculum Dropout.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Users' Departure Time Prediction Based on Light Gradient Boosting Decision Tree.

[BibT_eX]

[DOI]

Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

Pick-Up Point Recommendation Using Users' Historical Ride-Hailing Orders.

[BibT_eX]

[DOI]

Proceedings of the Wireless Algorithms, Systems, and Applications, 2022

2021

Apply Artificial Neural Network to Solving Manpower Scheduling Problem.

[BibT_eX]

[DOI]

Tianyu Liu

Lingyu Zhang

CoRR, 2021

An Intelligent Model for Solving Manpower Scheduling Problems.

[BibT_eX]

[DOI]

Lingyu Zhang

Tianyu Liu

Yunhai Wang

CoRR, 2021

Engaging Drivers in Ride Hailing via Competition: A Case Study with Arena.

[BibT_eX]

[DOI]

Proceedings of the 22nd IEEE International Conference on Mobile Data Management, 2021

2020

Two-sided online bipartite matching in spatial data: experiments and analysis.

[BibT_eX]

[DOI]

GeoInformatica, 2020

Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Multi-Modal Graph Interaction for Multi-Graph Convolution Network in Urban Spatiotemporal Forecasting.

[BibT_eX]

[DOI]

CoRR, 2019

POI Semantic Model with a Deep Convolutional Structure.

[BibT_eX]

[DOI]

CoRR, 2019

Recommendation-based Team Formation for On-demand Taxi-calling Platforms.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation).

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Taxi or Hitchhiking: Predicting Passenger's Preferred Service on Ride Sharing Platforms.

[BibT_eX]

[DOI]

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

SIGIR 2018 Workshop on Intelligent Transportation Informatics.

[BibT_eX]

[DOI]

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2017

A Taxi Order Dispatch Model based On Combinatorial Optimization.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Lingyu Zhang

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