Baoyi An

Orcid: 0000-0001-9471-5223

According to our database1, Baoyi An authored at least 15 papers between 2019 and 2024.

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Bibliography

2024
CMCL: Cross-Modal Compressive Learning for Resource-Constrained Intelligent IoT Systems.
IEEE Internet Things J., 2024

3D-GP-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric Priors.
CoRR, 2024

MambaVC: Learned Visual Compression with Selective State Spaces.
CoRR, 2024

MB-RACS: Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing Network.
CoRR, 2024

Fast Implicit Neural Representation Image Codec in Resource-limited Devices.
CoRR, 2024

2023
Secure Crowdsensed Data Trading Based on Blockchain.
IEEE Trans. Mob. Comput., March, 2023

Perceptual Image Compression with Cooperative Cross-Modal Side Information.
CoRR, 2023

Progressive Learning with Visual Prompt Tuning for Variable-Rate Image Compression.
CoRR, 2023

2022
CMAB-Based Reverse Auction for Unknown Worker Recruitment in Mobile Crowdsensing.
IEEE Trans. Mob. Comput., 2022

2021
FedDCS: Federated Learning Framework based on Dynamic Client Selection.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

Blockchain-Based Double Auction for Edge Cloud Resource Trading with Differential Privacy.
Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

Crowdsensing Data Trading based on Combinatorial Multi-Armed Bandit and Stackelberg Game.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
CPchain: A Copyright-Preserving Crowdsourcing Data Trading Framework Based on Blockchain.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2019
Reverse-Auction-Based Competitive Order Assignment for Mobile Taxi-Hailing Systems.
Proceedings of the Database Systems for Advanced Applications, 2019

Truthful Crowdsensed Data Trading Based on Reverse Auction and Blockchain.
Proceedings of the Database Systems for Advanced Applications, 2019


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