Yinan Huang

According to our database, Yinan Huang authored at least 15 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Accelerated Sequential Flow Matching: A Bayesian Filtering Perspective.

Yinan Huang, Hans Hao-Hsun Hsu, Junran Wang, Bo Dai, Pan Li

CoRR, February, 2026

2025

Powers of Magnetic Graph Matrix: Fourier Spectrum, Walk Compression, and Applications.

Yinan Huang, David F. Gleich, Pan Li

CoRR, June, 2025

Differentially Private Relational Learning with Entity-level Privacy Guarantees.

Yinan Huang, Haoteng Yin, Eli Chien, Rongzhe Wei, Pan Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

What Are Good Positional Encodings for Directed Graphs?

Yinan Huang, Haoyu Peter Wang, Pan Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

A Benchmark on Directed Graph Representation Learning in Hardware Designs.

Haoyu Wang, Yinan Huang, Nan Wu, Pan Li

CoRR, 2024

What Are Good Positional Encodings for Directed Graphs?

Yinan Huang, Haoyu Wang, Pan Li

CoRR, 2024

What Can We Learn from State Space Models for Machine Learning on Graphs?

Yinan Huang, Siqi Miao, Pan Li

CoRR, 2024

On the Stability of Expressive Positional Encodings for Graphs.

Yinan Huang, William Lu, Joshua Robinson, Yu Yang, Muhan Zhang, Stefanie Jegelka, Pan Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

On the Stability of Expressive Positional Encodings for Graph Neural Networks.

Yinan Huang, William Lu, Joshua Robinson, Yu Yang, Muhan Zhang, Stefanie Jegelka, Pan Li

CoRR, 2023

Is Distance Matrix Enough for Geometric Deep Learning?

Zian Li, Xiyuan Wang, Yinan Huang, Muhan Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs.

Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Machine learning methods to predict 30-day hospital readmission outcome among US adults with pneumonia: analysis of the national readmission database.

Yinan Huang, Ashna Talwar, Ying Lin, Rajender R. Aparasu

BMC Medical Informatics Decis. Mak., 2022

Boosting the Cycle Counting Power of Graph Neural Networks with I²-GNNs.

Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang

CoRR, 2022

3DLinker: An E(3) Equivariant Variational Autoencoder for Molecular Linker Design.

Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang

Proceedings of the International Conference on Machine Learning, 2022

2020

Load balancing edge server placement method with QoS requirements in wireless metropolitan area networks.

Xingcun Li, Feng Zeng, Guanyun Fang, Yinan Huang, Xunlin Tao

IET Commun., 2020