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)

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)

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)