Submitted/Undereview
- F. Ji, X. Jian, W. P. Tay, “Modeling Sparse Graph Sequences and Signals Using Generalized Graphons”, submitted to IEEE Transactions on Signal Processing, under review. (Online)
Journal Papers
- X. Jian, W. P. Tay and Y. C. Eldar, “Kernel Based Reconstruction for Generalized Graph Signal Processing,” in IEEE Transactions on Signal Processing, vol. 72, pp. 2308-2322, 2024. (Online)
- X. Jian and W. P. Tay, “Wide-Sense Stationarity in Generalized Graph Signal Processing,” in IEEE Transactions on Signal Processing, vol. 70, pp. 3414-3428, 2022. (Online)
Conference Papers
- P. Zhang, X. Jian, F. Ji, W. P. Tay, B. Wen, ”Spectral Convergence of Simplicial Complex Signals,” in Proc. IEEE International Symposium on Information Theory, Athens, Greece, Jul. 2024.
- R. She, S. Wang, Q. Kang, K. Zhao, Y. Song, W. P. Tay, T. Geng, X. Jian, ”PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations,” in Proc. AAAI Conference on Artificial Intelligence, Vancouver, Canada, Feb. 2024.
- S. Wang, R. She, Q. Kang, X. Jian, K. Zhao, Y. Song, and W. P. Tay, “DistilVPR: Cross-Modal knowledge distillation for visual place recognition,” in Proc. AAAI Conference on Artificial Intelligence, Vancouver, Canada, Feb. 2024.
- X. Jian and W. P. Tay, ”Kernel Ridge Regression for Generalized Graph Signal Processing,” in Proc. IEEE International Conference Acoustics, Speech, and Signal Processing, Rhodes Island, Greece, Jun. 2023. (Online)
- X. Jian and W. P. Tay, ”Wide-Sense Stationarity and Spectral Estimation for Generalized Graph Signal,” in Proc. IEEE International Conference Acoustics, Speech, and Signal Processing, Singapore, May. 2022. (Online)
Books and Chapters
- X. Jian, F. Ji and W. P. Tay, “Generalizing Graph Signal Processing: High Dimensional Spaces, Models and Structures”, Foundations and Trends in Signal Processing, Vol. 17, No. 3, pp 209-290, 2023. (Online)