Shao Zhiiqi

The University of Sydney

SCHOLARLY PAPERS

5

DOWNLOADS

381

TOTAL CITATIONS

0

Scholarly Papers (5)

1.

Spatial-Temporal Selective State Space (St-Mamba) Model for Traffic Flow Prediction

Number of pages: 25 Posted: 21 May 2024
The University of Sydney, The University of Sydney, The University of Sydney, The University of Sydney, Newcastle Business School and The University of Sydney
Downloads 238 (274,468)

Abstract:

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Traffic Flow Prediction, Spatial-Temporal Selective State Space (ST-Mamba), State Space Models

2.

A multi-task Transformer with mixture-of-experts for personalized periodic predictions of individual travel behavior in multimodal public transport

Number of pages: 41 Posted: 19 Dec 2024 Last Revised: 03 Apr 2025
The University of Newcastle, The University of Sydney, University of Sydney Business School, Institute of Transport and Logistics Studies,The University of Sydney Business School, The University of Sydney and University of Technology Sydney
Downloads 49 (844,127)

Abstract:

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Personalized periodic travel behavior (PTB) predictions, Multi-task Transformer, Multi-gate mixture-of-experts (MMoE), Multimodal public transport, PTBformer-MMoE

3.

A Spatial-Temporal Large Language Model with Denoising Diffusion Implicit for Enhancing Centralized Multi-Mode Traffic System

Number of pages: 37 Posted: 11 Oct 2024
The University of Sydney, Newcastle Business School, The University of Sydney, The University of Sydney, The University of Sydney and The University of Sydney
Downloads 47 (860,377)

Abstract:

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Spatial-temporal, DDIM, Large Language Model, Multi-modal, Intelligent Transportation Systems

4.

Maasformer-Mmoe: Multi-Task Transformer Under Mixture-of-Experts Framework for Maas Bundle Customization

Number of pages: 39 Posted: 15 Dec 2024
Newcastle Business School, The University of Sydney, The University of Sydney, The University of Sydney, The University of Sydney and University of Technology Sydney
Downloads 34 (981,024)

Abstract:

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Mobility-as-a-Service (MaaS), MaaS Bundle Customization, Multi-task Transformer, MaaSformer, Multi-gate mixture-of-experts (MMoE)

5.

How Curvature Enhance the Adaptation Power of Framelet Gcns

Number of pages: 33 Posted: 18 Oct 2023
Dai Shi, Guo Yi, Shao Zhiiqi and Junbin Gao
affiliation not provided to SSRN, affiliation not provided to SSRN, The University of Sydney and The University of Sydney
Downloads 13 (1,230,475)

Abstract:

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Graph neural networks, graph framelet, graph Ricci curvature, heterophily adaption.