| An algorithmic framework for estimating rumor sources with different start times F Ji, WP Tay, LR Varshney IEEE Transactions on Signal Processing 65 (10), 2517-2530, 2017 | 56 | 2017 |
| Estimating infection sources in networks using partial timestamps W Tang, F Ji, WP Tay IEEE Transactions on Information Forensics and Security 13 (12), 3035-3049, 2018 | 49 | 2018 |
| A Hilbert space theory of generalized graph signal processing F Ji, WP Tay IEEE Transactions on Signal Processing 67 (24), 6188-6203, 2019 | 45 | 2019 |
| SGAT: Simplicial graph attention network SH Lee, F Ji, WP Tay arXiv preprint arXiv:2207.11761, 2022 | 30 | 2022 |
| Graph signal processing over a probability space of shift operators F Ji, WP Tay, A Ortega IEEE Transactions on Signal Processing 71, 1159-1174, 2023 | 24 | 2023 |
| On the properties of Gromov matrices and their applications in network inference F Ji, W Tang, WP Tay IEEE Transactions on Signal Processing 67 (10), 2624-2638, 2019 | 19 | 2019 |
| Leveraging label non-uniformity for node classification in graph neural networks F Ji, SH Lee, H Meng, K Zhao, J Yang, WP Tay International Conference on Machine Learning, 14869-14885, 2023 | 16 | 2023 |
| Gfcn: A new graph convolutional network based on parallel flows F Ji, J Yang, Q Zhang, WP Tay ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 13 | 2020 |
| Unlimited dynamic range signal recovery for folded graph signals F Ji, WP Tay Signal Processing 198, 108574, 2022 | 11 | 2022 |
| Signal processing on simplicial complexes with vertex signals F Ji, G Kahn, WP Tay IEEE Access 10, 41889-41901, 2022 | 11 | 2022 |
| Generalized graph signal processing F Ji, WP Tay 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 11 | 2018 |
| Generalizing graph signal processing: High dimensional spaces, models and structures X Jian, F Ji, WP Tay Foundations and Trends® in Signal Processing 17 (3), 209-290, 2023 | 10 | 2023 |
| Estimating the number of infection sources in a tree F Ji, WP Tay, LR Varshney 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016 | 10 | 2016 |
| Learning correlation graph and anomalous employee behavior for insider threat detection J Wang, S Aggarwal, F Ji, WP Tay 2018 21st International Conference on Information Fusion (FUSION), 1-7, 2018 | 8 | 2018 |
| Learning on heterogeneous graphs using high-order relations SH Lee, F Ji, WP Tay ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 7 | 2021 |
| On distributional graph signals F Ji, X Jian, WP Tay arXiv preprint arXiv:2302.11104, 2023 | 6 | 2023 |
| Network topology inference using information cascades with limited statistical knowledge F Ji, W Tang, WP Tay, EKP Chong Information and Inference: A Journal of the IMA 9 (2), 327-360, 2020 | 6 | 2020 |
| Signal processing on simplicial complexes F Ji, G Kahn, WP Tay arXiv preprint arXiv:2004.02392, 2020 | 6 | 2020 |
| Identifying rumor sources with different start times F Ji, WP Tay 2016 IEEE Statistical Signal Processing Workshop (SSP), 1-5, 2016 | 6 | 2016 |
| Unleashing the potential of fractional calculus in graph neural networks with FROND Q Kang, K Zhao, Q Ding, F Ji, X Li, W Liang, Y Song, WP Tay arXiv preprint arXiv:2404.17099, 2024 | 5 | 2024 |
