Suiming Guo
Orcid: 0000-0002-6038-8292
According to our database1,
Suiming Guo
authored at least 24 papers
between 2015 and 2024.
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Bibliography
2024
IEEE Trans. Mob. Comput., December, 2024
AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation.
ACM Trans. Knowl. Discov. Data, September, 2024
Seeking in Ride-on-Demand Service: A Reinforcement Learning Model With Dynamic Price Prediction.
IEEE Internet Things J., September, 2024
A UAV-Assisted Truth Discovery Approach With Incentive Mechanism Design in Mobile Crowd Sensing.
IEEE/ACM Trans. Netw., April, 2024
Establishing Trustworthy and Privacy-Preserving SAGIVNs in 6G: Architectures, Requirements, and Solutions.
IEEE Netw., March, 2024
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
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
Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017
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
Proceedings of the 26th International Conference on Computer Communication and Networks, 2017
2015
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
Proceedings of the 7th International Conference on Communication Systems and Networks, 2015