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2020 – today
- 2024
[j2]Zhiqi Shao
, Dai Shi, Andi Han, Andrey Vasnev, Yi Guo, Junbin Gao:
Enhancing framelet GCNs with generalized p-Laplacian regularization. Int. J. Mach. Learn. Cybern. 15(4): 1553-1573 (2024)- [j1]Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao:
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion. Trans. Mach. Learn. Res. 2024 (2024) - [i10]Zhiqi Shao, Michael G. H. Bell, Ze Wang, D. Glenn Geers, Xusheng Yao, Junbin Gao:
CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model. CoRR abs/2403.17753 (2024) - [i9]Zhiqi Shao, Michael G. H. Bell, Ze Wang, D. Glenn Geers, Haoning Xi, Junbin Gao:
ST-SSMs: Spatial-Temporal Selective State of Space Model for Traffic Forecasting. CoRR abs/2404.13257 (2024) - [i8]Zhiqi Shao, Xusheng Yao, Ze Wang, Junbin Gao:
ST-MambaSync: The Confluence of Mamba Structure and Spatio-Temporal Transformers for Precipitous Traffic Prediction. CoRR abs/2404.15899 (2024) - [i7]Zhiqi Shao, Haoning Xi, Haohui Lu, Ze Wang, Michael G. H. Bell, Junbin Gao:
STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting. CoRR abs/2409.05921 (2024) - 2023
- [c1]Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Junbin Gao:
A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models. ACML 2023: 1199-1214 - [i6]Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao:
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion. CoRR abs/2305.15639 (2023) - [i5]Dai Shi, Zhiqi Shao, Yi Guo, Junbin Gao:
Frameless Graph Knowledge Distillation. CoRR abs/2307.06631 (2023) - [i4]Dai Shi, Yi Guo, Zhiqi Shao, Junbin Gao:
How Curvature Enhance the Adaptation Power of Framelet GCNs. CoRR abs/2307.09768 (2023) - [i3]Zhiqi Shao, Dai Shi, Andi Han, Yi Guo, Qibin Zhao, Junbin Gao:
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond. CoRR abs/2309.02769 (2023) - 2022
- [i2]Andi Han, Dai Shi, Zhiqi Shao, Junbin Gao:
Generalized energy and gradient flow via graph framelets. CoRR abs/2210.04124 (2022) - [i1]Zhiqi Shao, Andi Han, Dai Shi, Andrey Vasnev, Junbin Gao:
Generalized Laplacian Regularized Framelet GCNs. CoRR abs/2210.15092 (2022)
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