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Wee-Peng Tay
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Publications
- 2023
- [j69]Xingchao Jian, Feng Ji, Wee Peng Tay:
Generalizing Graph Signal Processing: High Dimensional Spaces, Models and Structures. Found. Trends Signal Process. 17(3): 209-290 (2023) - [j63]Feng Ji, Wee Peng Tay, Antonio Ortega:
Graph Signal Processing Over a Probability Space of Shift Operators. IEEE Trans. Signal Process. 71: 1159-1174 (2023) - [c99]Tianyu Geng, Feng Ji, Pratibha, Wee Peng Tay:
Modulo EEG Signal Recovery Using Transformer. ICASSP 2023: 1-5 - [c96]Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay:
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks. ICML 2023: 14869-14885 - [i62]See Hian Lee, Feng Ji, Wee Peng Tay:
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks. CoRR abs/2303.01724 (2023) - [i60]Feng Ji, See Hian Lee, Kai Zhao, Wee Peng Tay, Jielong Yang:
Distributional Signals for Node Classification in Graph Neural Networks. CoRR abs/2304.03507 (2023) - [i59]Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay:
Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks. CoRR abs/2305.00139 (2023) - [i58]Xingchao Jian, Feng Ji, Wee Peng Tay:
Generalized signals on simplicial complexes. CoRR abs/2305.06899 (2023) - [i55]Xingchao Jian, Feng Ji, Wee Peng Tay:
Generalized Graphon Process: Convergence of Graph Frequencies in Stretched Cut Distance. CoRR abs/2309.05260 (2023) - [i54]Purui Zhang, Xingchao Jian, Feng Ji, Wee Peng Tay, Bihan Wen:
Frequency Convergence of Complexon Shift Operators (Extended Version). CoRR abs/2309.07169 (2023) - [i52]See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay:
Graph Neural Networks with a Distribution of Parametrized Graphs. CoRR abs/2310.16401 (2023) - 2022
- [j61]Feng Ji, Giacomo Kahn, Wee Peng Tay:
Signal Processing on Simplicial Complexes With Vertex Signals. IEEE Access 10: 41889-41901 (2022) - [j59]Feng Ji, Pratibha, Wee Peng Tay:
Unlimited dynamic range signal recovery for folded graph signals. Signal Process. 198: 108574 (2022) - [c88]See Hian Lee, Feng Ji, Wee Peng Tay:
SGAT: Simplicial Graph Attention Network. IJCAI 2022: 3192-3200 - [i46]Feng Ji, Yiqi Lu, Wee Peng Tay, Edwin K. P. Chong:
Abstract message passing and distributed graph signal processing. CoRR abs/2206.04498 (2022) - [i45]See Hian Lee, Feng Ji, Wee Peng Tay:
SGAT: Simplicial Graph Attention Network. CoRR abs/2207.11761 (2022) - 2021
- [c83]Feng Ji, Giacomo Kahn, Wee Peng Tay:
Traitement du signal sur les complexes simpliciaux. EGC 2021: 145-156 - [c82]See Hian Lee, Feng Ji, Wee Peng Tay:
Learning On Heterogeneous Graphs Using High-Order Relations. ICASSP 2021: 3175-3179 - [c80]Feng Ji, Wee Peng Tay:
Signal Processing with a Distribution of Graph Operators. SSP 2021: 551-555 - [i42]See Hian Lee, Feng Ji, Wee Peng Tay:
Learning on heterogeneous graphs using high-order relations. CoRR abs/2103.15532 (2021) - 2020
- [c76]Feng Ji, Jielong Yang, Qiang Zhang, Wee Peng Tay:
GFCN: A New Graph Convolutional Network Based on Parallel Flows. ICASSP 2020: 3332-3336 - 2019
- [j38]Feng Ji, Wenchang Tang, Wee Peng Tay:
On the Properties of Gromov Matrices and Their Applications in Network Inference. IEEE Trans. Signal Process. 67(10): 2624-2638 (2019) - [j36]Feng Ji, Wee Peng Tay:
A Hilbert Space Theory of Generalized Graph Signal Processing. IEEE Trans. Signal Process. 67(24): 6188-6203 (2019) - [c72]Feng Ji, Pratibha, Wee Peng Tay:
On Folded Graph Signals. GlobalSIP 2019: 1-5 - [i34]Feng Ji, Jielong Yang, Wee Peng Tay:
GraphFlow: A New Graph Convolutional Network Based on Parallel Flows. CoRR abs/1902.09173 (2019) - 2018
- [j34]Wenchang Tang, Feng Ji, Wee Peng Tay:
Estimating Infection Sources in Networks Using Partial Timestamps. IEEE Trans. Inf. Forensics Secur. 13(12): 3035-3049 (2018) - [c66]Pratibha Junshan Wang, Saurabh Aggarwal, Feng Ji, Wee Peng Tay:
Learning Correlation Graph and Anomalous Employee Behavior for Insider Threat Detection. FUSION 2018: 1-7 - [c65]Feng Ji, Wee Peng Tay:
Generalized Graph Signal Processing. GlobalSIP 2018: 708-712 - [c60]Feng Ji, Wenchang Tang, Wee Peng Tay:
Properties and Applications of Gromov Matrices In Network Inference. SSP 2018: 478-482 - 2017
- [j27]Feng Ji, Wee Peng Tay:
An Algorithmic Framework for Estimating Rumor Sources With Different Start Times. IEEE Trans. Signal Process. 65(10): 2517-2530 (2017) - [c58]Wenchang Tang, Feng Ji, Wee Peng Tay:
Multiple sources identification in networks with partial timestamps. GlobalSIP 2017: 638-642 - [c50]Feng Ji, Wenchang Tang, Wee Peng Tay, Edwin K. P. Change:
Inferring network topology from information cascades. ISIT 2017: 2503-2507 - [i19]Feng Ji, Wenchang Tang, Wee Peng Tay, Edwin K. P. Chong:
Network Topology Inference Using Information Cascades with Limited Statistical Knowledge. CoRR abs/1706.09192 (2017) - [i18]Wenchang Tang, Feng Ji, Wee Peng Tay:
Estimating Infection Sources in Networks Using Partial Timestamps. CoRR abs/1711.01537 (2017) - 2016
- [c46]Feng Ji, Wee Peng Tay, Lav R. Varshney:
Estimating the number of infection sources in a tree. GlobalSIP 2016: 380-384 - [c39]Feng Ji, Wee Peng Tay:
Identifying rumor sources with different start times. SSP 2016: 1-5
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