| Graph decoupling attention markov networks for semisupervised graph node classification J Chen, S Chen, M Bai, J Pu, J Zhang, J Gao IEEE Transactions on Neural Networks and Learning Systems 34 (12), 9859-9873, 2022 | 23 | 2022 |
| Tensorial recurrent neural networks for longitudinal data analysis M Bai, B Zhang, J Gao arXiv preprint arXiv:1708.00185, 2017 | 12 | 2017 |
| Tensorial neural networks and its application in longitudinal network data analysis M Bai, B Zhang, J Gao Neural Information Processing: 24th International Conference, ICONIP 2017 …, 2017 | 6 | 2017 |
| Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance M Bai, W Huang, T Li, A Wang, J Gao, CF Caiafa, Q Zhao Proceedings of the 41st International Conference on Machine Learning 235 …, 2024 | 5 | 2024 |
| Transformed low-rank parameterization can help robust generalization for tensor neural networks A Wang, C Li, M Bai, Z Jin, G Zhou, Q Zhao Advances in Neural Information Processing Systems 36, 3032-3082, 2023 | 4 | 2023 |
| LSTM-assisted evolutionary self-expressive subspace clustering D Xu, M Bai, T Long, J Gao International Journal of Machine Learning and Cybernetics 12 (10), 2777-2793, 2021 | 3 | 2021 |
| Tensorial time series prediction via tensor neural ordinary differential equations M Bai, Q Zhao, J Gao 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 3 | 2021 |
| Neural ordinary differential equation model for evolutionary subspace clustering and its applications M Bai, ST Choy, J Zhang, J Gao arXiv preprint arXiv:2107.10484, 2021 | 2 | 2021 |
| A Heuristic algorithm based on tour rebuilding operator for the traveling salesman problem Y Li, J Gao, M Bai, C Li, G Liu arXiv preprint arXiv:1911.01663, 2019 | 2 | 2019 |
| Tensor Neural Controlled Differential Equations M Bai, J Chen, Q Zhao, C Li, J Zhang, J Gao 2022 International Joint Conference on Neural Networks (IJCNN), 1-9, 2022 | 1 | 2022 |
| Efficient Spatial Nearest Neighbor Queries Based on Multi-layer Voronoi Diagrams Y Li, G Liu, J Gao, Z He, M Bai, C Li arXiv preprint arXiv:1911.02788, 2019 | 1 | 2019 |
| Generalized Tensor Decomposition for Understanding Multi-Output Regression under Combinatorial Shifts A Wang, Y Qiu, M Bai, Z Jin, G Zhou, Q Zhao Advances in Neural Information Processing Systems 37, 47559-47635, 2024 | | 2024 |
| TendiffPure: 一种用于纯化的卷积张量链去噪扩散模型 M BAI, D ZHOU, Q ZHAO Frontiers 25 (1), 160-169, 2024 | | 2024 |
| TendiffPure: a convolutional tensor-train denoising diffusion model for purification M Bai, D Zhou, Q Zhao Frontiers of Information Technology & Electronic Engineering 25 (1), 160-169, 2024 | | 2024 |
| Learning from Tensors: Tensor Learning for Tensorial Data Analysis M Bai | | 2022 |
| Tensor-Train Parameterization for Ultra Dimensionality Reduction M Bai, STB Choy, X Song, J Gao 2019 IEEE International Conference on Big Knowledge (ICBK), 17-24, 2019 | | 2019 |
| Time Series Big Data Analytics M Bai, B Zhang Multimodal Analytics for Next-Generation Big Data Technologies and …, 2019 | | 2019 |
| Recurrent Neural Networks for Multimodal Time Series Big Data Analytics M Bai, B Zhang Multimodal Analytics for Next-Generation Big Data Technologies and …, 2019 | | 2019 |
| Deep Generative Model in Machine Learning: Theory, Principle and Efficacy W Huang, M Bai, A Han, T Suzuki, Q Zhao, B Mishra, D Wu, Y Yuan, ... ICLR 2025 Workshop Proposals, 0 | | |
| Training-free Design of Augmentations with Data-centric Principles J Wu, W Huang, M Bai, X Hu, Y Duan, W Chen ICML 2024 AI for Science Workshop, 0 | | |
Boris ChoyUniversity of SydneyVerified email at sydney.edu.au
Boris ChoyUniversity of SydneyVerified email at sydney.edu.au