Wanyu Lin
Orcid: 0000-0002-7328-8039
According to our database1,
Wanyu Lin
authored at least 32 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
Personalized Federated Learning with Layer-Wise Feature Transformation via Meta-Learning.
ACM Trans. Knowl. Discov. Data, May, 2024
IEEE Trans. Neural Networks Learn. Syst., April, 2024
Explainable Molecular Property Prediction: Aligning Chemical Concepts with Predictions via Language Models.
CoRR, 2024
DPGAN: A Dual-Path Generative Adversarial Network for Missing Data Imputation in Graphs.
CoRR, 2024
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
ACM Trans. Knowl. Discov. Data, May, 2023
Improving Accuracy and Convergence in Group-Based Federated Learning on Non-IID Data.
IEEE Trans. Netw. Sci. Eng., 2023
A<sup>2</sup>S<sup>2</sup>-GNN: Rigging GNN-Based Social Status by Adversarial Attacks in Signed Social Networks.
IEEE Trans. Inf. Forensics Secur., 2023
Prototype Correction via Contrastive Augmentation for Few-Shot Unconstrained Palmprint Recognition.
IEEE Trans. Inf. Forensics Secur., 2023
Proc. ACM Manag. Data, 2023
SoftGPT: Learn Goal-Oriented Soft Object Manipulation Skills by Generative Pre-Trained Heterogeneous Graph Transformer.
IROS, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
IEEE Trans. Inf. Forensics Secur., 2022
1st ICLR International Workshop on Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data (PAIR^2Struct).
CoRR, 2022
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.
CoRR, 2022
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Privacy-Preserving Similarity Search With Efficient Updates in Distributed Key-Value Stores.
IEEE Trans. Parallel Distributed Syst., 2021
Proceedings of the 40th IEEE Conference on Computer Communications, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Hierarchical Deep Reinforcement Learning for Multi-robot Cooperation in Partially Observable Environment.
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021
2020
Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020
2019
CoRR, 2019
Ad Hoc Sens. Wirel. Networks, 2019
2017
Proceedings of the 2017 IEEE International Conference on Smart Computing, 2017
2014
E<sup>3</sup>: Towards energy-efficient distributed least squares estimation in sensor networks.
Proceedings of the IEEE 22nd International Symposium of Quality of Service, 2014