Suiming Guo

Orcid: 0000-0002-6038-8292

According to our database1, Suiming Guo authored at least 19 papers between 2015 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
Enriching Large-Scale Trips With Fine-Grained Travel Purposes: A Semi-Supervised Deep Graph Embedding Framework.
IEEE Trans. Intell. Transp. Syst., November, 2023

Disguised as Privacy: Data Poisoning Attacks Against Differentially Private Crowdsensing Systems.
IEEE Trans. Mob. Comput., September, 2023

Seeking Based on Dynamic Prices: Higher Earnings and Better Strategies in Ride-on-Demand Services.
IEEE Trans. Intell. Transp. Syst., May, 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

2021
Dynamic Adjustment Policy of Search Driver Matching Distance via Markov Decision Process.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021

2020
DAVT: An Error-Bounded Vehicle Trajectory Data Representation and Compression Framework.
IEEE Trans. Veh. Technol., 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
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

An Incentive-Based Mixed QoE Framework for Content Delivery to Smart Homes.
Proceedings of the 26th International Conference on Computer Communication and Networks, 2017

2015
DST: Leveraging Delay-Insensitive Workload in Cloud Storage for Smart Home Network.
Proceedings of the 24th International Conference on Computer Communication and Networks, 2015

Distributing very-large content from cloud to smart home hubs: Measurement and implications.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Batching for Smart Home: Leveraging delay-insensitive workload in cloud storage.
Proceedings of the 7th International Conference on Communication Systems and Networks, 2015


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