Zhiqi Shao

According to our database, Zhiqi Shao authored at least 11 papers between 2022 and 2024.

Collaborative distances:

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

2024

Enhancing framelet GCNs with generalized p-Laplacian regularization.

Zhiqi Shao, Dai Shi, Andi Han, Andrey Vasnev, Yi Guo, Junbin Gao

Int. J. Mach. Learn. Cybern., April, 2024

ST-MambaSync: The Confluence of Mamba Structure and Spatio-Temporal Transformers for Precipitous Traffic Prediction.

Zhiqi Shao, Xusheng Yao, Ze Wang, Junbin Gao

CoRR, 2024

ST-SSMs: Spatial-Temporal Selective State of Space Model for Traffic Forecasting.

Zhiqi Shao, Michael G. H. Bell, Ze Wang, D. Glenn Geers, Haoning Xi, Junbin Gao

CoRR, 2024

CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model.

Zhiqi Shao, Michael G. H. Bell, Ze Wang, D. Glenn Geers, Xusheng Yao, Junbin Gao

CoRR, 2024

2023

Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond.

Zhiqi Shao, Dai Shi, Andi Han, Yi Guo, Qibin Zhao, Junbin Gao

CoRR, 2023

How Curvature Enhance the Adaptation Power of Framelet GCNs.

Dai Shi, Yi Guo, Zhiqi Shao, Junbin Gao

CoRR, 2023

Frameless Graph Knowledge Distillation.

Dai Shi, Zhiqi Shao, Yi Guo, Junbin Gao

CoRR, 2023

Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion.

Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao

CoRR, 2023

A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models.

Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Junbin Gao

Proceedings of the Asian Conference on Machine Learning, 2023

2022

Generalized Laplacian Regularized Framelet GCNs.

Zhiqi Shao, Andi Han, Dai Shi, Andrey Vasnev, Junbin Gao

CoRR, 2022

Generalized energy and gradient flow via graph framelets.

Andi Han, Dai Shi, Zhiqi Shao, Junbin Gao

CoRR, 2022