launch Tao, Q., Tonin, F., Patrinos, P., Suykens, J. (2024). Tensor-based multi-view spectral clustering via shared latent space. Information Fusion, 108, Art.No. 102405. doi: 10.1016/j.inffus.2024.102405
launch Zeng, X., Tao, Q., Suykens, J. (2024). Feature Learning using Multi-view Kernel Partial Least Squares. In: Proceedings of ESANN 2024. Presented at the ESANN 2024, Brugge, Belgium, 09 Oct 2024-11 Oct 2024.
launch Chen, Y., Tao, Q., Tonin, F., Suykens, J. (2024). Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes. In: Proc. of ICML 2024. Presented at the 2024 Internatinal Conference on Machine Learning, Wenen, Oostenrijk, 21 Jul 2024-27 Jul 2024. via repository
launch Tao, Q., Tonin, F., Lambert, A., Chen, Y., Patrinos, P., Suykens, J. (2024). Learning in Feature Spaces via Coupled Covariances : Asymmetric Kernel SVD and Nystrom method. In: Proc. of ICML. Presented at the 2024 International Conference on Machine Learning, Wenen, Oostenrijk, 21 Jul 2024-27 Jul 2024.
launch Suykens, J., Tao, Q., Xi, X., Xu, J. (2024). Sparsity via Sparse Group hBcmax regularization. In: Proc. of ACC 2024. Presented at the American Control Conference 2024, Toronto, Canada, 08 Jul 2024-12 Jul 2024.
launch Tonin, F., Tao, Q., Patrinos, P., Suykens, J. (2024). Deep kernel principal component analysis for multi-level feature learning. Neural Networks, 170, 578-595. doi: 10.1016/j.neunet.2023.11.045via repository
launch Liu, J., Tao, Q., Zhu, C., Liu, Y., Suykens, J. (2023). Tensorized LSSVMs for Multitask Regression. In: Proceedings of ICASSP 2023. Presented at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece, 04 Jun 2023-10 Jun 2023. ISBN: 978-1-7281-6327-7. doi: 10.1109/ICASSP49357.2023.10094580
launch Tao, Q., Tonin, F., Patrinos, P., Suykens, J. (2024). Tensor-based multi-view spectral clustering via shared latent space. Information Fusion, 108, Art.No. 102405. doi: 10.1016/j.inffus.2024.102405
launch Zeng, X., Tao, Q., Suykens, J. (2024). Feature Learning using Multi-view Kernel Partial Least Squares. In: Proceedings of ESANN 2024. Presented at the ESANN 2024, Brugge, Belgium, 09 Oct 2024-11 Oct 2024.
launch Chen, Y., Tao, Q., Tonin, F., Suykens, J. (2024). Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes. In: Proc. of ICML 2024. Presented at the 2024 Internatinal Conference on Machine Learning, Wenen, Oostenrijk, 21 Jul 2024-27 Jul 2024. via repository
launch Tao, Q., Tonin, F., Lambert, A., Chen, Y., Patrinos, P., Suykens, J. (2024). Learning in Feature Spaces via Coupled Covariances : Asymmetric Kernel SVD and Nystrom method. In: Proc. of ICML. Presented at the 2024 International Conference on Machine Learning, Wenen, Oostenrijk, 21 Jul 2024-27 Jul 2024.
launch Suykens, J., Tao, Q., Xi, X., Xu, J. (2024). Sparsity via Sparse Group hBcmax regularization. In: Proc. of ACC 2024. Presented at the American Control Conference 2024, Toronto, Canada, 08 Jul 2024-12 Jul 2024.
launch Tonin, F., Tao, Q., Patrinos, P., Suykens, J. (2024). Deep kernel principal component analysis for multi-level feature learning. Neural Networks, 170, 578-595. doi: 10.1016/j.neunet.2023.11.045via repository
launch Liu, J., Tao, Q., Zhu, C., Liu, Y., Suykens, J. (2023). Tensorized LSSVMs for Multitask Regression. In: Proceedings of ICASSP 2023. Presented at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023), Rhodes Island, Greece, 04 Jun 2023-10 Jun 2023. ISBN: 978-1-7281-6327-7. doi: 10.1109/ICASSP49357.2023.10094580