Shiyi Lin

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2025
Combining Personalized Federated Hypernetworks and Shared Residual Learning for Distributed QoS Prediction.
ACM Trans. Auton. Adapt. Syst., September, 2025

GACL: Graph Attention Collaborative Learning for Temporal QoS Prediction.
IEEE Trans. Netw. Serv. Manag., August, 2025

Location privacy protection scheme of user collaborative probabilistic indistinguishability based on Hyperledger Fabric.
J. Supercomput., January, 2025

Dynamic graph representation learning via edge temporal states modeling and structure-reinforced transformer.
Knowl. Based Syst., 2025

MADCAP: A Multi-agent Deliberative Framework for Robust Assessment of Open-Ended Questions.
Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

From Static to Dynamic: GNNs-Driven Clinical Decision-Making Assistance.
Proceedings of the Database Systems for Advanced Applications, 2025

TCM-R1: Enhancing the Traditional Chinese Medicine Capabilities of Large Language Models Through Group Relative Policy Optimization.
Proceedings of the Web and Big Data - 9th International Joint Conference, 2025

Large Language Model Meets Graph Neural Network in Knowledge Distillation.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
CatLearning: highly accurate gene expression prediction from histone mark.
Briefings Bioinform., September, 2024

Overhead-free Noise-tolerant Federated Learning: A New Baseline.
Mach. Intell. Res., June, 2024

Target-Prompt Online Graph Collaborative Learning for Temporal QoS Prediction.
CoRR, 2024

2023
IRDP Ride System: A Privacy Preservation System for Online Ride-Hailing.
IEEE Internet Things J., May, 2023

FHC-DQP: Federated Hierarchical Clustering for Distributed QoS Prediction.
IEEE Trans. Serv. Comput., 2023

Recurrent Transformer for Dynamic Graph Representation Learning with Edge Temporal States.
CoRR, 2023

MVGCL: Multi-View Graph Contrastive Learning for Service Recommendation.
Proceedings of the IEEE International Conference on Web Services, 2023

No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation.
Proceedings of the International Conference on Machine Learning, 2023

Large Sparse Kernels for Federated Learning.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022
A survey of application research based on blockchain smart contract.
Wirel. Networks, 2022

Temporal-Aware QoS Prediction via Dynamic Graph Neural Collaborative Learning.
Proceedings of the Service-Oriented Computing - 20th International Conference, 2022

2021
Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021


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