Zhiqi Shao

Orcid: 0000-0002-8854-9799

According to our database1, Zhiqi Shao authored at least 14 papers between 2022 and 2025.

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

Timeline

2022
2023
2024
2025
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5
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Legend:

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Links

On csauthors.net:

Bibliography

2025
Revisiting time-varying dynamics in stock market forecasting: A multi-source sentiment analysis approach with large language model.
Decis. Support Syst., 2025

2024
Enhancing framelet GCNs with generalized p-Laplacian regularization.
Int. J. Mach. Learn. Cybern., April, 2024

Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion.
Trans. Mach. Learn. Res., 2024

STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting.
CoRR, 2024

ST-MambaSync: The Confluence of Mamba Structure and Spatio-Temporal Transformers for Precipitous Traffic Prediction.
CoRR, 2024

ST-SSMs: Spatial-Temporal Selective State of Space Model for Traffic Forecasting.
CoRR, 2024

CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model.
CoRR, 2024

2023
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond.
CoRR, 2023

How Curvature Enhance the Adaptation Power of Framelet GCNs.
CoRR, 2023

Frameless Graph Knowledge Distillation.
CoRR, 2023

Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion.
CoRR, 2023

A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models.
Proceedings of the Asian Conference on Machine Learning, 2023

2022
Generalized Laplacian Regularized Framelet GCNs.
CoRR, 2022

Generalized energy and gradient flow via graph framelets.
CoRR, 2022


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