Zhiqi Shao

23 papers C 1Journal 21Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bias Mitigation in Large Language Models for Tabular Data Classification.
Mach. Learn.
Haohui Lu, Zhiqi Shao, Junbin Gao, Shahadat Uddin
2026 J jnl
Diffusion denoised and physics-regularized inter-series model for long-horizon multivariate time-series forecasting.
Inf. Fusion
Hongwei Ma, Jiayu Fang, Dai Shi, Zhiqi Shao, Junbin Gao
2026 J jnl
Toward an Integrated Cross-Urban Accident Prevention System: A Multi-Task Spatial-Temporal Learning Framework for Urban Safety Management.
CoRR
Jiayu Fang, Zhiqi Shao, Haoning Xi, S. T. Boris Choy, Junbin Gao
2026 J jnl
Unleashing Mamba's expressive power: A non-tradeoff approach to spatio-temporal forecasting.
Inf. Fusion
Zhiqi Shao, Ze Wang, Haoning Xi, Michael G. H. Bell, Xusheng Yao, D. Glenn Geers, Junbin Gao
2025 J jnl
Frameless Graph Knowledge Distillation.
IEEE Trans. Neural Networks Learn. Syst.
Dai Shi, Zhiqi Shao, Junbin Gao, Zhiyong Wang, Yi Guo
2025 J jnl
Revisiting time-varying dynamics in stock market forecasting: A multi-source sentiment analysis approach with large language model.
Decis. Support Syst.
Zhiqi Shao, Xusheng Yao, Feng Chen, Ze Wang, Junbin Gao
2025 J jnl
ST-MambaSync: Complement the power of Mamba and Transformer fusion for less computational cost in spatial-temporal traffic forecasting.
Inf. Fusion
Zhiqi Shao, Ze Wang, Xusheng Yao, Michael G. H. Bell, Junbin Gao
2025 J jnl
STPFormer: A State-of-the-Art Pattern-Aware Spatio-Temporal Transformer for Traffic Forecasting.
CoRR
Jiayu Fang, Zhiqi Shao, S. T. Boris Choy, Junbin Gao
2025 — conf
SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer.
AI (1)
Jiayu Fang, Zhiqi Shao, S. T. Boris Choy, Junbin Gao
2025 J jnl
SVDformer: Direction-Aware Spectral Graph Embedding Learning via SVD and Transformer.
CoRR
Jiayu Fang, Zhiqi Shao, S. T. Boris Choy, Junbin Gao
2024 J jnl
CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model.
CoRR
Zhiqi Shao, Michael G. H. Bell, Ze Wang, D. Glenn Geers, Xusheng Yao, Junbin Gao
2024 J jnl
Enhancing framelet GCNs with generalized p-Laplacian regularization.
Int. J. Mach. Learn. Cybern.
Zhiqi Shao, Dai Shi, Andi Han, Andrey Vasnev, Yi Guo, Junbin Gao
2024 J jnl
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion.
Trans. Mach. Learn. Res.
Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao
2024 J jnl
ST-MambaSync: The Confluence of Mamba Structure and Spatio-Temporal Transformers for Precipitous Traffic Prediction.
CoRR
Zhiqi Shao, Xusheng Yao, Ze Wang, Junbin Gao
2024 J jnl
ST-SSMs: Spatial-Temporal Selective State of Space Model for Traffic Forecasting.
CoRR
Zhiqi Shao, Michael G. H. Bell, Ze Wang, D. Glenn Geers, Haoning Xi, Junbin Gao
2024 J jnl
STLLM-DF: A Spatial-Temporal Large Language Model with Diffusion for Enhanced Multi-Mode Traffic System Forecasting.
CoRR
Zhiqi Shao, Haoning Xi, Haohui Lu, Ze Wang, Michael G. H. Bell, Junbin Gao
2023 C conf
A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models.
ACML
Dai Shi, Zhiqi Shao, Andi Han, Yi Guo, Junbin Gao
2023 J jnl
Frameless Graph Knowledge Distillation.
CoRR
Dai Shi, Zhiqi Shao, Yi Guo, Junbin Gao
2023 J jnl
How Curvature Enhance the Adaptation Power of Framelet GCNs.
CoRR
Dai Shi, Yi Guo, Zhiqi Shao, Junbin Gao
2023 J jnl
Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion.
CoRR
Dai Shi, Zhiqi Shao, Yi Guo, Qibin Zhao, Junbin Gao
2023 J jnl
Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond.
CoRR
Zhiqi Shao, Dai Shi, Andi Han, Yi Guo, Qibin Zhao, Junbin Gao
2022 J jnl
Generalized Laplacian Regularized Framelet GCNs.
CoRR
Zhiqi Shao, Andi Han, Dai Shi, Andrey Vasnev, Junbin Gao
2022 J jnl
Generalized energy and gradient flow via graph framelets.
CoRR
Andi Han, Dai Shi, Zhiqi Shao, Junbin Gao