Yaxiao Liu

Orcid: 0000-0001-6053-0757

According to our database1, Yaxiao Liu authored at least 17 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Efficient Hybrid Generation Framework for Aspect-Based Sentiment Analysis.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
A Force-Directed Approach to Seeking Route Recommendation in Ride-on-Demand Service Using Multi-Source Urban Data.
IEEE Trans. Mob. Comput., 2022

Wheels Know Why You Travel: Predicting Trip Purpose via a Dual-Attention Graph Embedding Network.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

2020
ROD-Revenue: Seeking Strategies Analysis and Revenue Prediction in Ride-on-Demand Service Using Multi-Source Urban Data.
IEEE Trans. Mob. Comput., 2020

Fine-grained Dynamic Price Prediction in Ride-on-demand Services: Models and Evaluations.
Mob. Networks Appl., 2020

2018
A Simple but Quantifiable Approach to Dynamic Price Prediction in Ride-on-demand Services Leveraging Multi-source Urban Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Dynamic Price Prediction in Ride-on-demand Service with Multi-source Urban Data.
Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2018

2017
CarStream: An Industrial System of Big Data Processing for Internet-of-Vehicles.
Proc. VLDB Endow., 2017

Modelling Passengers' Reaction to Dynamic Prices in Ride-on-demand Services: A Search for the Best Fare.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017

Understanding ride-on-demand service: Demand and dynamic pricing.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017

Understanding passenger reaction to dynamic prices in ride-on-demand service.
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017

It Can be Cheaper: Using Price Prediction to Obtain Better Prices from Dynamic Pricing in Ride-on-demand Services.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

2016
K-Join: Knowledge-Aware Similarity Join.
IEEE Trans. Knowl. Data Eng., 2016

ELAN: An Efficient Location-Aware Analytics System.
Big Data Res., 2016

ZEST: A Hybrid Model on Predicting Passenger Demand for Chauffeured Car Service.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
An empirical study on implementing highly reliable stream computing systems with private cloud.
Ad Hoc Networks, 2015

2013
An Infrastructure Framework for Deploying Enterprise Private Cloud.
Proceedings of the 2013 IEEE International Conference on Services Computing, Santa Clara, CA, USA, June 28, 2013


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