| Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond Z Shao, D Shi, A Han, Y Guo, Q Zhao, J Gao arXiv preprint arXiv:2309.02769, 2023 | 12 | 2023 |
| Generalized energy and gradient flow via graph framelets A Han, D Shi, Z Shao, J Gao arXiv preprint arXiv:2210.04124, 2022 | 12 | 2022 |
| How curvature enhance the adaptation power of framelet gcns YG Dai Shi, Z Shao, J Gao arXiv preprint arXiv:2307.09768, 2023 | 8 | 2023 |
| Enhancing framelet GCNs with generalized p-Laplacian regularization Z Shao, D Shi, A Han, A Vasnev, Y Guo, J Gao International Journal of Machine Learning and Cybernetics 15 (4), 1553-1573, 2024 | 6 | 2024 |
| CCDSReFormer: Traffic Flow Prediction with a Criss-Crossed Dual-Stream Enhanced Rectified Transformer Model Z Shao, MGH Bell, Z Wang, DG Geers, X Yao, J Gao arXiv preprint arXiv:2403.17753, 2024 | 5 | 2024 |
| How curvature enhance the adaptation power of framelet gcns D Shi, Y Guo, Z Shao, J Gao arXiv preprint arXiv:2307.09768, 2023 | 4 | 2023 |
| Stllm-df: A spatial-temporal large language model with diffusion for enhanced multi-mode traffic system forecasting Z Shao, H Xi, H Lu, Z Wang, MGH Bell, J Gao arXiv preprint arXiv:2409.05921, 2024 | 3 | 2024 |
| Frameless graph knowledge distillation D Shi, Z Shao, J Gao, Z Wang, Y Guo IEEE Transactions on Neural Networks and Learning Systems, 2024 | 3 | 2024 |
| Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and as Non-Linear Diffusion D Shi, Z Shao, Y Guo, Q Zhao, J Gao Transactions on Machine Learning Research, 2024 | 3* | 2024 |
| Generalized Laplacian regularized framelet gcns Z Shao, A Han, AV Dai Shi, J Gao arXiv preprint arXiv:2210.15092, 2022 | 3 | 2022 |
| Revisiting generalized p-Laplacian regularized framelet GCNs: convergence, energy dynamic and training with non-linear diffusion D Shi, Z Shao, Y Guo, Q Zhao, J Gao arXiv preprint arXiv:2305.15639, 2023 | 2 | 2023 |
| ST-MambaSync: Complement the power of Mamba and Transformer fusion for less computational cost in spatial–temporal traffic forecasting Z Shao, Z Wang, X Yao, MGH Bell, J Gao Information Fusion 117, 102872, 2025 | 1 | 2025 |
| Optimizing mobility resource allocation in multiple MaaS subscription frameworks: a group method of data handling-driven self-adaptive harmony search algorithm H Xi, Y Wang, Z Shao, X Zhang, T Waller Annals of Operations Research, 1-29, 2024 | 1 | 2024 |
| A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models D Shi, Z Shao, A Han, Y Guo, G Junbin Asian Conference on Machine Learning, 1199-1214, 2024 | 1 | 2024 |
| Generalized Laplacian Regularized Framelet Graph Neural Networks Z Shao, A Han, D Shi, A Vasnev, J Gao arXiv preprint arXiv:2210.15092, 2022 | 1 | 2022 |
| Revisiting time-varying dynamics in stock market forecasting: A multi-source sentiment analysis approach with large language model Z Shao, X Yao, F Chen, Z Wang, J Gao Decision Support Systems 190, 114362, 2025 | | 2025 |
| A spatial-temporal dynamic attentionbased Mamba model for multi-type passenger demand prediction in multimodal public transit systems Z Shao, H Xi, DA Hensher, Z Wang, X Gong, J Gao University of Sydney, 2025 | | 2025 |
| ST-MambaSync: The Confluence of Mamba Structure and Spatio-Temporal Transformers for Precipitous Traffic Prediction Z Shao, X Yao, Z Wang, J Gao arXiv preprint arXiv:2404.15899, 2024 | | 2024 |
| ST-SSMs: Spatial-Temporal Selective State of Space Model for Traffic Forecasting Z Shao, MGH Bell, Z Wang, DG Geers, H Xi, J Gao arXiv preprint arXiv:2404.13257, 2024 | | 2024 |
| Spatial-Temporal Selective State Space (St-Mamba) Model for Traffic Flow Prediction S Zhiiqi, M Bell, Z Wang, DG Geers, H Xi, J Gao Available at SSRN 4836041, 0 | | |
Professor Junbin GaoDiscipline of Business Analytics in Business School, The University of SydneyVerified email at sydney.edu.au