Yijing Liu

Orcid: 0000-0001-8420-2213

Affiliations:
  • Zhejiang University, Hangzhou, Zhejiang, China


According to our database1, Yijing Liu authored at least 10 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
DTCR: Enhanced Graph Diffusion Models Alignment by Policy Gradient Regularization.
Proceedings of the International Joint Conference on Neural Networks, 2025

RG3: Mitigating Memorization of Graph Diffusion Model in One Denoising Step.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

2024
MetaDD: Boosting Dataset Distillation with Neural Network Architecture-Invariant Generalization.
CoRR, 2024

GraphFederator: Federated Visual Analysis for Multi-party Graphs.
Proceedings of the 17th IEEE Pacific Visualization Conference, 2024

Graph Diffusion Policy Optimization.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022
Federated Multi-task Graph Learning.
ACM Trans. Intell. Syst. Technol., 2022

Multivariate Time-Series Forecasting with Temporal Polynomial Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020
GraphFederator: Federated Visual Analysis for Multi-party Graphs.
CoRR, 2020

2018
Dense Convolutional Binary-Tree Networks for Lung Nodule Classification.
IEEE Access, 2018


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