Submitted/Undereview

Journal Papers

• X. Jian, M. Gölz, F. Ji, W. P. Tay, A. Zoubir, “A Generalized Graph Signal Processing Framework for Multiple Hypothesis Testing over Networks,” in IEEE Transactions on Signal Processing, vol. 73, pp. 3496-3512, 2025. (Online)(Code)
• W. Luo, Y. H. Lee, X. Jian, T. Hao, “A New Method for GPR Clutter Suppression Based on Stationary Graph Signals Processing”, in IEEE Transactions on Geoscience and Remote Sensing, vol. 63, pp. 1-12, 2025. (Online)
• F. Ji, X. Jian, W. P. Tay, “Modeling Sparse Graph Sequences and Signals Using Generalized Graphons”, in IEEE Transactions on Signal Processing, vol. 72, pp. 5048-5064, 2024. (Online)
• 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 (Machine Learning)

• X. Jian, P. Zhang, T. Lan, F. Ji, W. Liang, W. P. Tay, B. Wen, and F. Krahmer, “Conformal prediction for multi-source detection on a network,” in Proc. AAAI Conference on Artificial Intelligence, Singapore, Jan. 2026. (Online)(Code)
• 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.

Conference Papers (Signal Processing)

• Y. Zhao, F. Ji, X. Jian, W. P. Tay, “Graph Distribution-valued Signals: A Wasserstein Space Perspective,” in Proc. IEEE International Conference Acoustics, Speech, and Signal Processing, Barcelona, Spain, May. 2026.
• F. Ji, X. Jian, W. P. Tay, M. Yang, “Processing Asynchronous Time-simplex Signals,” in Proc. European Signal Processing Conference, Palermo, Italy, Sep. 2025.
• X. Jian, M. Gölz, F. Ji, W. P. Tay, A. Zoubir, “A Generalized Graph Signal Processing Framework for Multiple Hypothesis Testing over Networks,” in Proc. IEEE International Conference Acoustics, Speech, and Signal Processing, Hyderabad, India, Apr. 2025.
• Y. Zhao, X. Jian, F. Ji, W. P. Tay, A. Ortega, “Generalized Graph Signal Reconstruction via the Uncertainty Principle,” in Proc. IEEE International Conference Acoustics, Speech, and Signal Processing, Hyderabad, India, Apr. 2025.
• 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.
• 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)