| 2026 | AAAI | Conformal Prediction for Multi-Source Detection on a Network. | Xingchao Jian, Purui Zhang, Lan Tian, Feng Ji, Wenfei Liang, Wee Peng Tay, Bihan Wen, Felix Krahmer |
| 2025 | ICASSP | A Generalized Graph Signal Processing Framework for Multiple Hypothesis Testing over Networks. | Xingchao Jian, Martin Glz, Feng Ji, Wee Peng Tay, Abdelhak M. Zoubir |
| 2025 | ICASSP | Generalized Graph Signal Reconstruction via the Uncertainty Principle. | Yanan Zhao, Xingchao Jian, Feng Ji, Wee Peng Tay, Antonio Ortega |
| 2024 | AAAI | PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. | Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian |
| 2024 | AAAI | DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. | Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay |
| 2024 | ISIT | Spectral Convergence of Simplicial Complex Signals. | Purui Zhang, Xingchao Jian, Feng Ji, Wee Peng Tay, Bihan Wen |
| 2023 | ICASSP | Kernel Ridge Regression for Generalized Graph Signal Processing. | Xingchao Jian, Wee Peng Tay |
| 2022 | ICASSP | Wide-Sense Stationarity and Spectral Estimation for Generalized Graph Signal. | Xingchao Jian, Wee Peng Tay |