Wee Peng Tay

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 161

Top Venues

CoRR

ICASSP

IEEE Trans. Signal Process.

GlobalSIP

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Qiyu Kang, Kai Zhao, Yang Song, Yihang Xie, Yanan Zhao, Sijie Wang, Rui She, Wee Peng Tay
Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study. CoRR (2024)
Rui She, Sijie Wang, Qiyu Kang, Kai Zhao, Yang Song, Wee Peng Tay, Tianyu Geng, Xingchao Jian
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations. CoRR (2024)
Qiyu Kang, Wee Peng Tay, Rui She, Sijie Wang, Xiaoqian Liu, Yuan-Rui Yang
Multi-armed linear bandits with latent biases. Inf. Sci. 660 (2024)
Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Kai Zhao, Yang Song, Tianyu Geng, Yi Xu, Diego Navarro Navarro, Andreas Hartmannsgruber
PointDifformer: Robust Point Cloud Registration With Neural Diffusion and Transformer. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Rui She, Qiyu Kang, Sijie Wang, Kai Zhao, Yang Song, Yi Xu, Tianyu Geng, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber
Robust Graph Neural Diffusion for Image Matching. ICIP (2023)
Tianyu Geng, Feng Ji, Pratibha, Wee Peng Tay
Modulo EEG Signal Recovery Using Transformer. ICASSP (2023)
Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
Graph Neural Convection-Diffusion with Heterophily. CoRR (2023)
Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. CVPR (2023)
Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. CoRR (2023)
Purui Zhang, Xingchao Jian, Feng Ji, Wee Peng Tay, Bihan Wen
Frequency Convergence of Complexon Shift Operators (Extended Version). CoRR (2023)
Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks. ICML (2023)
Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. NeurIPS (2023)
Xingchao Jian, Wee Peng Tay
Kernel Ridge Regression for Generalized Graph Signal Processing. ICASSP (2023)
Vivek Mohan, Wee Peng Tay, Arindam Basu
Architectural Exploration of Neuromorphic Compression based Neural Sensing for Next-Gen Wireless implantable-BMI. ISCAS (2023)
Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen
Graph Neural Networks With Triple Attention for Few-Shot Learning. IEEE Trans. Multim. 25 (2023)
Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. CoRR (2023)
Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Rui She, Wee Peng Tay
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks. CoRR (2023)
Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Yong Liang Guan, Diego Navarro Navarro, Andreas Hartmannsgruber
Image Patch-Matching With Graph-Based Learning in Street Scenes. IEEE Trans. Image Process. 32 (2023)
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)
Xingchao Jian, Feng Ji, Wee Peng Tay
Generalized Graphon Process: Convergence of Graph Frequencies in Stretched Cut Distance. CoRR (2023)
See Hian Lee, Feng Ji, Wee Peng Tay
Node-Specific Space Selection via Localized Geometric Hyperbolicity in Graph Neural Networks. CoRR (2023)
Chong Xiao Wang, Wee Peng Tay
On the Relationship Between Information-Theoretic Privacy Metrics And Probabilistic Information Privacy. CoRR (2023)
Wei Zhang, Zhenni Wang, Wee Peng Tay
Approximate Maximum-Likelihood RIS-Aided Positioning. IEEE Trans. Wirel. Commun. 22 (12) (2023)
Xingchao Jian, Feng Ji, Wee Peng Tay
Generalized signals on simplicial complexes. CoRR (2023)
Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay
Graph Neural Convection-Diffusion with Heterophily. IJCAI (2023)
Rui She, Qiyu Kang, Sijie Wang, Wee Peng Tay, Yong Liang Guan, Diego Navarro Navarro, Andreas Hartmannsgruber
Image Patch-Matching with Graph-Based Learning in Street Scenes. CoRR (2023)
Sijie Wang, Qiyu Kang, Rui She, Wei Wang, Kai Zhao, Yang Song, Wee Peng Tay
HypLiLoc: Towards Effective LiDAR Pose Regression with Hyperbolic Fusion. CoRR (2023)
Feng Ji, See Hian Lee, Kai Zhao, Wee Peng Tay, Jielong Yang
Distributional Signals for Node Classification in Graph Neural Networks. CoRR (2023)
Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks. CoRR (2023)
Feng Ji, Wee Peng Tay, Antonio Ortega
Graph Signal Processing Over a Probability Space of Shift Operators. IEEE Trans. Signal Process. 71 (2023)
Pengfeng Lin, Chao Deng, Yongheng Yang, Christopher H. T. Lee, Wee Peng Tay
Resilience-Oriented Control for Cyber-Physical Hybrid Energy Storage Systems Using a Semiconsensus Scheme: Design and Practice. IEEE Trans. Ind. Electron. 70 (3) (2023)
Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments. AAAI (2023)
See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay
Graph Neural Networks with a Distribution of Parametrized Graphs. CoRR (2023)
Rui She, Qiyu Kang, Sijie Wang, Yuan-Rui Yang, Kai Zhao, Yang Song, Wee Peng Tay
RobustMat: Neural Diffusion for Street Landmark Patch Matching Under Challenging Environments. IEEE Trans. Image Process. 32 (2023)
Rui She, Qiyu Kang, Sijie Wang, Yuan-Rui Yang, Kai Zhao, Yang Song, Wee Peng Tay
RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments. CoRR (2023)
Chengming Jin, Wee Peng Tay, Kai Zhao, Keck Voon Ling, Jun Lu, Yue Wang
A Sub-meter Accurate Positioning using 5G Double-difference Carrier Phase Measurements. PLANS (2023)
Xingchao Jian, Feng Ji, Wee Peng Tay
Generalizing Graph Signal Processing: High Dimensional Spaces, Models and Structures. Found. Trends Signal Process. 17 (3) (2023)
Xinyu Liu, Ye Yuan, Tianxian Zhang, Guolong Cui, Wee Peng Tay
LPI Radar Signal Design Resistant to Identification by ESM Systems. IEEE Trans. Aerosp. Electron. Syst. 59 (6) (2023)
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 (2023)
Yang Song, Qiyu Kang, Sijie Wang, Zhao Kai, Wee Peng Tay
On the Robustness of Graph Neural Diffusion to Topology Perturbations. CoRR (2022)
Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen
Attentive Graph Neural Networks for Few-Shot Learning. MIPR (2022)
Adil Bin Bhutto, Xuan-Son Vu, Erik Elmroth, Wee Peng Tay, Monowar H. Bhuyan
Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds. IEEE Access 10 (2022)
Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments. CoRR (2022)
Yi Xu, Chong Xiao Wang, Yang Song, Wee Peng Tay
Preserving Trajectory Privacy in Driving Data Release. ICASSP (2022)
Xingchao Jian, Wee Peng Tay
Wide-Sense Stationarity in Generalized Graph Signal Processing. IEEE Trans. Signal Process. 70 (2022)
See Hian Lee, Feng Ji, Wee Peng Tay
SGAT: Simplicial Graph Attention Network. IJCAI (2022)
Feng Ji, Pratibha, Wee Peng Tay
Unlimited dynamic range signal recovery for folded graph signals. Signal Process. 198 (2022)
Jielong Yang, Wee Peng Tay
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks. IEEE Trans. Knowl. Data Eng. 34 (11) (2022)
See Hian Lee, Feng Ji, Wee Peng Tay
SGAT: Simplicial Graph Attention Network. CoRR (2022)
Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay
On the Robustness of Graph Neural Diffusion to Topology Perturbations. NeurIPS (2022)
Feng Ji, Yiqi Lu, Wee Peng Tay, Edwin K. P. Chong
Abstract message passing and distributed graph signal processing. CoRR (2022)
Qiyu Kang, Rui She, Sijie Wang, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber
Location Learning for AVs: LiDAR and Image Landmarks Fusion Localization with Graph Neural Networks. ITSC (2022)
Yongsheng Yan, Ian Bajaj, Ramtin Rabiee, Wee Peng Tay
A Tightly Coupled Integration Approach for Cooperative Positioning Enhancement in DSRC Vehicular Networks. IEEE Trans. Intell. Transp. Syst. 23 (12) (2022)
Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber
Building Facade Parsing R-CNN. CoRR (2022)
Qiyu Kang, Wee Peng Tay
Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities. IEEE Trans. Serv. Comput. 15 (4) (2022)
Chong Xiao Wang, Wee Peng Tay
Practical Bounds of Kullback-Leibler Divergence Using Maximum Mean Discrepancy. CoRR (2022)
Xingchao Jian, Wee Peng Tay
Wide-Sense Stationarity and Spectral Estimation for Generalized Graph Signal. ICASSP (2022)
Feng Ji, Giacomo Kahn, Wee Peng Tay
Signal Processing on Simplicial Complexes With Vertex Signals. IEEE Access 10 (2022)
Feng Ji, Giacomo Kahn, Wee Peng Tay
Traitement du signal sur les complexes simpliciaux. EGC (2021)
Chong Xiao Wang, Yang Song, Wee Peng Tay
Arbitrarily Strong Utility-Privacy Tradeoff in Multi-Agent Systems. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Qiyu Kang, Yang Song, Qinxu Ding, Wee Peng Tay
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks. NeurIPS (2021)
Wei Zhang, Wee Peng Tay
Cost-Efficient RIS-Aided Channel Estimation via Rank-One Matrix Factorization. IEEE Wirel. Commun. Lett. 10 (11) (2021)
Chengming Jin, Ian Bajaj, Kai Zhao, Wee Peng Tay, Keck Voon Ling
5G Positioning Using Code-Phase Timing Recovery. WCNC (2021)
See Hian Lee, Feng Ji, Wee Peng Tay
Learning on heterogeneous graphs using high-order relations. CoRR (2021)
Yang Song, Ian Bajaj, Ramtin Rabiee, Wee Peng Tay
Anchor-Free Multi-Level Self-Localization in Ad-hoc Networks. WCNC (2021)
Qiyu Kang, Yang Song, Qinxu Ding, Wee Peng Tay
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks. CoRR (2021)
Wei Zhang, Wee Peng Tay
Cost-Efficient RIS-Aided Channel Estimation via Rank-One Matrix Factorization. CoRR (2021)
Tze Siong Lau, Wee Peng Tay
Asymptotically Optimal Sampling Policy for Quickest Change Detection With Observation-Switching Cost. IEEE Trans. Signal Process. 69 (2021)
Feng Ji, Wee Peng Tay
Signal Processing with a Distribution of Graph Operators. SSP (2021)
See Hian Lee, Feng Ji, Wee Peng Tay
Learning On Heterogeneous Graphs Using High-Order Relations. ICASSP (2021)
Yang Song, Qiyu Kang, Wee Peng Tay
Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks. AAAI (2021)
Chengcheng Wang, Wee Peng Tay, Ye Wei, Yuan Wang
Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks. IEEE Trans. Signal Process. 69 (2021)
Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen
Attentive Graph Neural Networks for Few-Shot Learning. CoRR (2020)
Feng Ji, Jielong Yang, Qiang Zhang, Wee Peng Tay
GFCN: A New Graph Convolutional Network Based on Parallel Flows. ICASSP (2020)
Meng Sun, Wee Peng Tay
On the Relationship Between Inference and Data Privacy in Decentralized IoT Networks. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Chong Xiao Wang, Wee Peng Tay
Data-driven Privacy With Domain Regularization. GLOBECOM (2020)
Xinghua Liu, Wee Peng Tay, Zhi-Wei Liu, Gaoxi Xiao
Quasi-Synchronization of Heterogeneous Networks With a Generalized Markovian Topology and Event-Triggered Communication. IEEE Trans. Cybern. 50 (10) (2020)
Meng Sun, Wee Peng Tay
Decentralized Detection With Robust Information Privacy Protection. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Tze Siong Lau, Wee Peng Tay
Privacy-Aware Quickest Change Detection. ICASSP (2020)
Chong Xiao Wang, Wee Peng Tay, Yang Song
Maximum Privacy under Perfect Utility in Sensor Networks. SAM (2020)
Chong Xiao Wang, Yang Song, Wee Peng Tay
Arbitrarily Strong Utility-Privacy Trade-off in Decentralized Linear Estimation. CoRR (2020)
Chengcheng Wang, Wee Peng Tay, Ye Wei, Yuan Wang
Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks. CoRR (2020)
Tze Siong Lau, Wee Peng Tay
Quickest Change Detection with Privacy Constraint. CoRR (2020)
Chong Xiao Wang, Wee Peng Tay
Data-driven Regularized Inference Privacy. CoRR (2020)
Chengcheng Wang, Wee Peng Tay, Ye Wei, Yuan Wang
Resilient Multitask Distributed Adaptation Over Networks With Noisy Exchanges. SAM (2020)
Yang Song, Chong Xiao Wang, Wee Peng Tay
Compressive Privacy for a Linear Dynamical System. IEEE Trans. Inf. Forensics Secur. 15 (2020)
Jielong Yang, Wee Peng Tay
An Unsupervised Bayesian Neural Network for Truth Discovery. CoRR (2019)
Ramtin Rabiee, Xionghu Zhong, Yong-Sheng Yan, Wee Peng Tay
LaIF: A Lane-Level Self-Positioning Scheme for Vehicles in GNSS-Denied Environments. IEEE Trans. Intell. Transp. Syst. 20 (8) (2019)
Gang Yang, Wee Peng Tay, Yong Liang Guan, Ying-Chang Liang
Optimal Power Allocation for Diffusion-Type Sensor Networks With Wireless Information and Power Transfer. IEEE Access 7 (2019)
Xin He, Wee Peng Tay, Lei Huang, Meng Sun, Yi Gong
Privacy-Aware Sensor Network Via Multilayer Nonlinear Processing. IEEE Internet Things J. 6 (6) (2019)
Chengcheng Wang, Wee Peng Tay, Yuan Wang, Ye Wei
A Privacy-preserving Diffusion Strategy over Multitask Networks. ICASSP (2019)
Tze Siong Lau, Wee Peng Tay
Asymptotically Optimal Quickest Change Detection under a Nuisance Change. ICASSP (2019)
Tze Siong Lau, Wee Peng Tay
Quickest Change Detection in the Presence of a Nuisance Change. IEEE Trans. Signal Process. 67 (20) (2019)
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) (2019)
Lijia Ma, Wee Peng Tay, Gaoxi Xiao
Iterative expectation maximization for reliable social sensing with information flows. Inf. Sci. 501 (2019)
Qiyu Kang, Wee Peng Tay
Orthogonal Projection in Linear Bandits. GlobalSIP (2019)
Tze Siong Lau, Wee Peng Tay, Venugopal V. Veeravalli
A Binning Approach to Quickest Change Detection With Unknown Postchange Distribution. IEEE Trans. Signal Process. 67 (3) (2019)
Feng Ji, Wee Peng Tay
A Hilbert Space Theory of Generalized Graph Signal Processing. IEEE Trans. Signal Process. 67 (24) (2019)
Yang Song, Mingyang Guan, Wee Peng Tay, Choi Look Law, Changyun Wen
UWB/LiDAR Fusion For Cooperative Range-Only SLAM. ICRA (2019)
Yang Song, Qiyu Kang, Wee Peng Tay
Error-Correcting Neural Network. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Wee Peng Tay