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2020 – today
- 2024
[j74]Qiyu Kang
, Wee Peng Tay, Rui She, Sijie Wang, Xiaoqian Liu, Yuán-Ruì Yáng:
Multi-armed linear bandits with latent biases. Inf. Sci. 660: 120103 (2024)- [j73]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: 1-15 (2024) - [j72]Xiaohong Ran, Wee Peng Tay, Christopher H. T. Lee:
Robust Data-Driven Adversarial False Data Injection Attack Detection Method With Deep Q-Network in Power Systems. IEEE Trans. Ind. Informatics 20(8): 10405-10418 (2024) - [j71]Xingchao Jian, Wee Peng Tay, Yonina C. Eldar:
Kernel Based Reconstruction for Generalized Graph Signal Processing. IEEE Trans. Signal Process. 72: 2308-2322 (2024) - [j70]Xinyu Liu, Ye Yuan, Tianxian Zhang, Guolong Cui, Wee Peng Tay:
Integrated Transmit Waveform and RIS Phase Shift Design for LPI Detection and Communication. IEEE Trans. Wirel. Commun. 23(6): 5663-5679 (2024) - [c108]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. AAAI 2024: 231-239 - [c107]Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, Kai Zhao, Yang Song, Wee Peng Tay:
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition. AAAI 2024: 10377-10385 - [c106]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. AAAI 2024: 13049-13058 - [c105]Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay:
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND. ICLR 2024 - [c104]See Hian Lee, Feng Ji, Kelin Xia, Wee Peng Tay:
Graph Neural Networks with a Distribution of Parametrized Graphs. ICML 2024 - [c103]Vivek Mohan, Wee Peng Tay, Arindam Basu:
Hybrid Event-Frame Neural Spike Detector for Neuromorphic Implantable BMI. ISCAS 2024: 1-5 - [c102]Purui Zhang, Xingchao Jian, Feng Ji, Wee Peng Tay, Bihan Wen:
Spectral Convergence of Simplicial Complex Signals. ISIT 2024: 3468-3473 - [i70]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 abs/2401.03167 (2024) - [i69]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 abs/2401.04331 (2024) - [i68]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. CoRR abs/2404.14034 (2024) - [i67]Qiyu Kang, Kai Zhao, Qinxu Ding, Feng Ji, Xuhao Li, Wenfei Liang, Yang Song, Wee Peng Tay:
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND. CoRR abs/2404.17099 (2024) - [i66]Wenfei Liang, Yanan Zhao, Rui She, Yiming Li, Wee Peng Tay:
FedSheafHN: Personalized Federated Learning on Graph-structured Data. CoRR abs/2405.16056 (2024) - [i65]Sijie Wang, Qiyu Kang, Rui She, Kai Zhao, Yang Song, Wee Peng Tay:
PRFusion: Toward Effective and Robust Multi-Modal Place Recognition with Image and Point Cloud Fusion. CoRR abs/2410.04939 (2024) - 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) - [j68]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): 9233-9246 (2023) - [j67]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): 2508-2519 (2023) - [j66]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: 3465-3480 (2023) - [j65]Rui She, Qiyu Kang, Sijie Wang, Yuán-Ruì Yáng, Kai Zhao, Yang Song, Wee Peng Tay:
RobustMat: Neural Diffusion for Street Landmark Patch Matching Under Challenging Environments. IEEE Trans. Image Process. 32: 5550-5563 (2023) - [j64]Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen:
Graph Neural Networks With Triple Attention for Few-Shot Learning. IEEE Trans. Multim. 25: 8225-8239 (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) - [j62]Wei Zhang, Zhenni Wang, Wee Peng Tay:
Approximate Maximum-Likelihood RIS-Aided Positioning. IEEE Trans. Wirel. Commun. 22(12): 8859-8875 (2023) - [c101]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: 6209-6216 - [c100]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: 5176-5185 - [c99]Tianyu Geng, Feng Ji, Pratibha, Wee Peng Tay:
Modulo EEG Signal Recovery Using Transformer. ICASSP 2023: 1-5 - [c98]Xingchao Jian, Wee Peng Tay:
Kernel Ridge Regression for Generalized Graph Signal Processing. ICASSP 2023: 1-5 - [c97]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: 311-315 - [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 - [c95]Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay:
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks. ICML 2023: 15786-15808 - [c94]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Graph Neural Convection-Diffusion with Heterophily. IJCAI 2023: 4656-4664 - [c93]Vivek Mohan, Wee Peng Tay, Arindam Basu:
Architectural Exploration of Neuromorphic Compression based Neural Sensing for Next-Gen Wireless implantable-BMI. ISCAS 2023: 1-5 - [c92]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. NeurIPS 2023 - [c91]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: 1176-1183 - [i64]Chong Xiao Wang, Wee Peng Tay:
On the Relationship Between Information-Theoretic Privacy Metrics And Probabilistic Information Privacy. CoRR abs/2301.08401 (2023) - [i63]Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Rui She, Wee Peng Tay:
Node Embedding from Hamiltonian Information Propagation in Graph Neural Networks. CoRR abs/2303.01030 (2023) - [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) - [i61]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 abs/2304.00932 (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) - [i57]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Graph Neural Convection-Diffusion with Heterophily. CoRR abs/2305.16780 (2023) - [i56]Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay:
Node Embedding from Neural Hamiltonian Orbits in Graph Neural Networks. CoRR abs/2305.18965 (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) - [i53]Kai Zhao, Qiyu Kang, Yang Song, Rui She, Sijie Wang, Wee Peng Tay:
Adversarial Robustness in Graph Neural Networks: A Hamiltonian Approach. CoRR abs/2310.06396 (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) - [i51]Rui She, Qiyu Kang, Sijie Wang, Yuán-Ruì Yáng, Kai Zhao, Yang Song, Wee Peng Tay:
RobustMat: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments. CoRR abs/2311.03904 (2023) - [i50]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 abs/2311.04617 (2023) - [i49]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 abs/2312.10616 (2023) - 2022
- [j61]Feng Ji, Giacomo Kahn, Wee Peng Tay:
Signal Processing on Simplicial Complexes With Vertex Signals. IEEE Access 10: 41889-41901 (2022) - [j60]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: 94677-94690 (2022) - [j59]Feng Ji, Pratibha, Wee Peng Tay:
Unlimited dynamic range signal recovery for folded graph signals. Signal Process. 198: 108574 (2022) - [j58]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): 23278-23294 (2022) - [j57]Jielong Yang, Wee Peng Tay:
An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks. IEEE Trans. Knowl. Data Eng. 34(11): 5182-5195 (2022) - [j56]Qiyu Kang, Wee Peng Tay:
Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities. IEEE Trans. Serv. Comput. 15(4): 1785-1798 (2022) - [j55]Xingchao Jian, Wee Peng Tay:
Wide-Sense Stationarity in Generalized Graph Signal Processing. IEEE Trans. Signal Process. 70: 3414-3428 (2022) - [c90]Yi Xu, Chong Xiao Wang, Yang Song, Wee Peng Tay:
Preserving Trajectory Privacy in Driving Data Release. ICASSP 2022: 3099-3103 - [c89]Xingchao Jian, Wee Peng Tay:
Wide-Sense Stationarity and Spectral Estimation for Generalized Graph Signal. ICASSP 2022: 5827-5831 - [c88]See Hian Lee, Feng Ji, Wee Peng Tay:
SGAT: Simplicial Graph Attention Network. IJCAI 2022: 3192-3200 - [c87]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: 3032-3037 - [c86]Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen:
Attentive Graph Neural Networks for Few-Shot Learning. MIPR 2022: 152-157 - [c85]Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay:
On the Robustness of Graph Neural Diffusion to Topology Perturbations. NeurIPS 2022 - [i48]Chong Xiao Wang, Wee Peng Tay:
Practical Bounds of Kullback-Leibler Divergence Using Maximum Mean Discrepancy. CoRR abs/2204.02031 (2022) - [i47]Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Diego Navarro Navarro, Andreas Hartmannsgruber:
Building Facade Parsing R-CNN. CoRR abs/2205.05912 (2022) - [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) - [i44]Yang Song, Qiyu Kang, Sijie Wang, Kai Zhao, Wee Peng Tay:
On the Robustness of Graph Neural Diffusion to Topology Perturbations. CoRR abs/2209.07754 (2022) - [i43]Sijie Wang, Qiyu Kang, Rui She, Wee Peng Tay, Andreas Hartmannsgruber, Diego Navarro Navarro:
RobustLoc: Robust Camera Pose Regression in Challenging Driving Environments. CoRR abs/2211.11238 (2022) - 2021
- [j54]Chong Xiao Wang, Yang Song, Wee Peng Tay:
Arbitrarily Strong Utility-Privacy Tradeoff in Multi-Agent Systems. IEEE Trans. Inf. Forensics Secur. 16: 671-684 (2021) - [j53]Tze Siong Lau, Wee Peng Tay:
Asymptotically Optimal Sampling Policy for Quickest Change Detection With Observation-Switching Cost. IEEE Trans. Signal Process. 69: 1332-1346 (2021) - [j52]Chengcheng Wang, Wee Peng Tay, Ye Wei, Yuan Wang:
Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks. IEEE Trans. Signal Process. 69: 6530-6545 (2021) - [j51]Wei Zhang, Wee Peng Tay:
Cost-Efficient RIS-Aided Channel Estimation via Rank-One Matrix Factorization. IEEE Wirel. Commun. Lett. 10(11): 2562-2566 (2021) - [c84]Yang Song, Qiyu Kang, Wee Peng Tay:
Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks. AAAI 2021: 9722-9729 - [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 - [c81]Qiyu Kang, Yang Song, Qinxu Ding, Wee Peng Tay:
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks. NeurIPS 2021: 14925-14937 - [c80]Feng Ji, Wee Peng Tay:
Signal Processing with a Distribution of Graph Operators. SSP 2021: 551-555 - [c79]Chengming Jin, Ian Bajaj, Kai Zhao, Wee Peng Tay, Keck Voon Ling:
5G Positioning Using Code-Phase Timing Recovery. WCNC 2021: 1-7 - [c78]Yang Song, Ian Bajaj, Ramtin Rabiee, Wee Peng Tay:
Anchor-Free Multi-Level Self-Localization in Ad-hoc Networks. WCNC 2021: 1-6 - [i42]See Hian Lee, Feng Ji, Wee Peng Tay:
Learning on heterogeneous graphs using high-order relations. CoRR abs/2103.15532 (2021) - [i41]Wei Zhang, Wee Peng Tay:
Cost-Efficient RIS-Aided Channel Estimation via Rank-One Matrix Factorization. CoRR abs/2108.08457 (2021) - [i40]Qiyu Kang, Yang Song, Qinxu Ding, Wee Peng Tay:
Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks. CoRR abs/2110.12976 (2021) - 2020
- [j50]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): 4200-4213 (2020) - [j49]Meng Sun, Wee Peng Tay:
Decentralized Detection With Robust Information Privacy Protection. IEEE Trans. Inf. Forensics Secur. 15: 85-99 (2020) - [j48]Meng Sun, Wee Peng Tay:
On the Relationship Between Inference and Data Privacy in Decentralized IoT Networks. IEEE Trans. Inf. Forensics Secur. 15: 852-866 (2020) - [j47]Yang Song, Chong Xiao Wang, Wee Peng Tay:
Compressive Privacy for a Linear Dynamical System. IEEE Trans. Inf. Forensics Secur. 15: 895-910 (2020) - [c77]Chong Xiao Wang, Wee Peng Tay:
Data-driven Privacy With Domain Regularization. GLOBECOM 2020: 1-6 - [c76]Feng Ji, Jielong Yang, Qiang Zhang, Wee Peng Tay:
GFCN: A New Graph Convolutional Network Based on Parallel Flows. ICASSP 2020: 3332-3336 - [c75]Tze Siong Lau, Wee Peng Tay:
Privacy-Aware Quickest Change Detection. ICASSP 2020: 5999-6003 - [c74]Chong Xiao Wang, Wee Peng Tay, Yang Song:
Maximum Privacy under Perfect Utility in Sensor Networks. SAM 2020: 1-5 - [c73]Chengcheng Wang, Wee Peng Tay, Ye Wei, Yuan Wang:
Resilient Multitask Distributed Adaptation Over Networks With Noisy Exchanges. SAM 2020: 1-5 - [i39]Chong Xiao Wang, Yang Song, Wee Peng Tay:
Arbitrarily Strong Utility-Privacy Trade-off in Decentralized Linear Estimation. CoRR abs/2001.05618 (2020) - [i38]Hao Cheng, Joey Tianyi Zhou, Wee Peng Tay, Bihan Wen:
Attentive Graph Neural Networks for Few-Shot Learning. CoRR abs/2007.06878 (2020) - [i37]Tze Siong Lau, Wee Peng Tay:
Quickest Change Detection with Privacy Constraint. CoRR abs/2009.08963 (2020) - [i36]Chengcheng Wang, Wee Peng Tay, Ye Wei, Yuan Wang:
Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks. CoRR abs/2010.05527 (2020) - [i35]Chong Xiao Wang, Wee Peng Tay:
Data-driven Regularized Inference Privacy. CoRR abs/2010.12346 (2020)
2010 – 2019
- 2019
- [j46]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: 32408-32422 (2019) - [j45]Fuxi Wen, Henk Wymeersch, Bile Peng, Wee Peng Tay, Hing Cheung So, Diange Yang:
A survey on 5G massive MIMO localization. Digit. Signal Process. 94: 21-28 (2019) - [j44]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): 10834-10845 (2019) - [j43]Lijia Ma, Wee Peng Tay, Gaoxi Xiao:
Iterative expectation maximization for reliable social sensing with information flows. Inf. Sci. 501: 621-634 (2019) - [j42]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): 2944-2961 (2019) - [j41]Qiyu Kang, Wee Peng Tay:
Sequential Multi-Class Labeling in Crowdsourcing. IEEE Trans. Knowl. Data Eng. 31(11): 2190-2199 (2019) - [j40]Jielong Yang, Junshan Wang, Wee Peng Tay:
Using Social Network Information in Community-Based Bayesian Truth Discovery. IEEE Trans. Signal Inf. Process. over Networks 5(3): 525-537 (2019) - [j39]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): 609-621 (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) - [j37]Tze Siong Lau, Wee Peng Tay:
Quickest Change Detection in the Presence of a Nuisance Change. IEEE Trans. Signal Process. 67(20): 5281-5296 (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 - [c71]Qiyu Kang, Wee Peng Tay:
Orthogonal Projection in Linear Bandits. GlobalSIP 2019: 1-5 - [c70]Tze Siong Lau, Wee Peng Tay:
Asymptotically Optimal Quickest Change Detection under a Nuisance Change. ICASSP 2019: 5307-5311 - [c69]Chengcheng Wang, Wee Peng Tay, Yuan Wang, Ye Wei:
A Privacy-preserving Diffusion Strategy over Multitask Networks. ICASSP 2019: 7600-7604 - [c68]Yang Song, Mingyang Guan, Wee Peng Tay, Choi Look Law, Changyun Wen:
UWB/LiDAR Fusion For Cooperative Range-Only SLAM. ICRA 2019: 6568-6574 - [i34]Feng Ji, Jielong Yang, Wee Peng Tay:
GraphFlow: A New Graph Convolutional Network Based on Parallel Flows. CoRR abs/1902.09173 (2019) - [i33]Jielong Yang, Wee Peng Tay:
An Unsupervised Bayesian Neural Network for Truth Discovery. CoRR abs/1906.10470 (2019) - [i32]Qiyu Kang, Wee Peng Tay:
Orthogonal Projection in Linear Bandits. CoRR abs/1906.10981 (2019) - [i31]Yang Song, Qiyu Kang, Wee Peng Tay:
Error-Correcting Neural Network. CoRR abs/1912.00181 (2019) - 2018
- [j35]Jielong Yang, Xionghu Zhong, Wee Peng Tay:
A Dynamic Bayesian Nonparametric Model for Blind Calibration of Sensor Networks. IEEE Internet Things J. 5(5): 3942-3953 (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) - [j33]Md. Zulfiquar Ali Bhotto, Wee Peng Tay:
Non-Bayesian Social Learning with Observation Reuse and Soft Switching. ACM Trans. Sens. Networks 14(2): 14:1-14:21 (2018) - [j32]Meng Sun, Wee Peng Tay, Xin He:
Toward Information Privacy for the Internet of Things: A Nonparametric Learning Approach. IEEE Trans. Signal Process. 66(7): 1734-1747 (2018) - [j31]François Quitin, Philippe De Doncker, François Horlin, Wee-Peng Tay:
Virtual Multiantenna Array for Estimating the Direction of a Transmitter: System, Bounds, and Experimental Results. IEEE Trans. Veh. Technol. 67(2): 1510-1520 (2018) - [c67]Wei Qiu, Andy Wai Hoong Khong, Wee Peng Tay:
Hidden Markov Model for Masquerade Detection Based on Sequence Alignment. DASC/PiCom/DataCom/CyberSciTech 2018: 278-285 - [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 - [c64]Chong Xiao Wang, Yang Song, Wee Peng Tay:
Preserving Parameter Privacy in Sensor Networks. GlobalSIP 2018: 1316-1320 - [c63]Yang Song, Chong Xiao Wang, Wee Peng Tay:
Privacy-Aware Kalman Filtering. ICASSP 2018: 4434-4438 - [c62]Tze Siong Lau, Wee Peng Tay:
Quickest Change Detection Under a Nuisance Change. ICASSP 2018: 6643-6647 - [c61]Yuan Wang, Wee Peng Tay, Wuhua Hu:
An Event-Based Diffusion LMS Strategy. SAM 2018: 154-158 - [c60]Feng Ji, Wenchang Tang, Wee Peng Tay:
Properties and Applications of Gromov Matrices In Network Inference. SSP 2018: 478-482 - [i30]Tze Siong Lau, Wee Peng Tay, Venugopal V. Veeravalli:
A Semi-Parametric Binning Approach to Quickest Change Detection. CoRR abs/1801.04756 (2018) - [i29]Wuqiong Luo, Wee Peng Tay, Peng Sun, Yonggang Wen:
On Distributed Algorithms for Cost-Efficient Data Center Placement in Cloud Computing. CoRR abs/1802.01289 (2018) - [i28]Yuan Wang, Wee Peng Tay, Wuhua Hu:
An Event-based Diffusion LMS Strategy. CoRR abs/1803.00368 (2018) - [i27]Jielong Yang, Junshan Wang, Wee Peng Tay:
Using Social Network Information in Bayesian Truth Discovery. CoRR abs/1806.02954 (2018) - [i26]Qiyu Kang, Wee Peng Tay:
Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities. CoRR abs/1807.10444 (2018) - [i25]Meng Sun, Wee Peng Tay:
Decentralized Detection with Robust Information Privacy Protection. CoRR abs/1808.10082 (2018) - [i24]Yang Song, Mingyang Guan, Wee Peng Tay, Choi Look Law, Changyun Wen:
UWB/LiDAR Fusion For Cooperative Range-Only SLAM. CoRR abs/1811.02854 (2018) - [i23]Meng Sun, Wee Peng Tay:
On the Relationship Between Inference and Data Privacy in Decentralized IoT Networks. CoRR abs/1811.10322 (2018) - [i22]Yang Song, Chong Xiao Wang, Wee Peng Tay:
Compressive Privacy for a Linear Dynamical System. CoRR abs/1812.03436 (2018) - 2017
- [j30]Yuan Wang, Wee Peng Tay, Wuhua Hu:
A Multitask Diffusion Strategy With Optimized Inter-cluster Cooperation. IEEE J. Sel. Top. Signal Process. 11(3): 504-517 (2017) - [j29]Wuqiong Luo, Wee-Peng Tay, Mei Leng:
On the Universality of Jordan Centers for Estimating Infection Sources in Tree Networks. IEEE Trans. Inf. Theory 63(7): 4634-4657 (2017) - [j28]Z. Zhang, Wee-Peng Tay, M. Draief, X. Wang, Edwin K. P. Chong, Alfred O. Hero III:
Introduction to the Issue on Distributed Information Processing in Social Networks. IEEE Trans. Signal Inf. Process. over Networks 3(2): 219-221 (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) - [j26]Jianhua Tang, Wee Peng Tay, Tony Q. S. Quek, Ben Liang:
System Cost Minimization in Cloud RAN With Limited Fronthaul Capacity. IEEE Trans. Wirel. Commun. 16(5): 3371-3384 (2017) - [c59]Tze Siong Lau, Wee Peng Tay:
Optimal sampling policy for quickest change detection. GlobalSIP 2017: 613-617 - [c58]Wenchang Tang, Feng Ji, Wee Peng Tay:
Multiple sources identification in networks with partial timestamps. GlobalSIP 2017: 638-642 - [c57]Tze Siong Lau, Wee Peng Tay, Venugopal V. Veeravalli:
Quickest change detection with unknown post-change distribution. ICASSP 2017: 3924-3928 - [c56]Wenchang Tang, Wee Peng Tay:
A particle filter for sequential infection source estimation. ICASSP 2017: 4094-4098 - [c55]Jielong Yang, Wee-Peng Tay, Xionghu Zhong:
A dynamic Bayesian nonparametric model for blind calibration of sensor networks. ICASSP 2017: 4207-4211 - [c54]Xin He, Wee Peng Tay:
Multilayer sensor network for information privacy. ICASSP 2017: 6005-6009 - [c53]Md. Zulfiquar Ali Bhotto, Wee Peng Tay:
Non-Bayesian social learning with observation reuse and soft switching. ICC 2017: 1-6 - [c52]Yang Song, Wee Peng Tay, Choi Look Law:
Robust decentralized localization in impulsive noise. IPIN 2017: 1-5 - [c51]Yang Song, Chong Xiao Wang, Wee Peng Tay, Choi Look Law:
Grid-based belief propagation. IPIN 2017: 1-6 - [c50]Feng Ji, Wenchang Tang, Wee Peng Tay, Edwin K. P. Change:
Inferring network topology from information cascades. ISIT 2017: 2503-2507 - [c49]Xionghu Zhong, Ramtin Rabiee, Yong-Sheng Yan, Wee-Peng Tay:
A particle filter for vehicle tracking with lane level accuracy under GNSS-denied environments. ITSC 2017: 1-6 - [c48]Meng Sun, Wee Peng Tay:
Inference and data privacy in IoT networks. SPAWC 2017: 1-5 - [c47]Qiyu Kang, Wee Peng Tay:
Sequential multi-class labeling in crowdsourcing: a ulam-renyi game approach. WI 2017: 245-251 - [i21]Yuan Wang, Wee Peng Tay, Wuhua Hu:
A Multitask Diffusion Strategy with Optimized Inter-Cluster Cooperation. CoRR abs/1703.01888 (2017) - [i20]Yi Yu, Gaoxi Xiao, Guoqi Li, Wee Peng Tay:
Opinion diversity and community formation in adaptive networks. CoRR abs/1703.02223 (2017) - [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) - [i17]Qiyu Kang, Wee Peng Tay:
Sequential Multi-Class Labeling in Crowdsourcing. CoRR abs/1711.02128 (2017) - 2016
- [j25]Yi Zhang, Wee Peng Tay, Kwok Hung Li, Moez Esseghir, Dominique Gaïti:
Learning Temporal-Spatial Spectrum Reuse. IEEE Trans. Commun. 64(7): 3092-3103 (2016) - [j24]Wuqiong Luo, Wee-Peng Tay, Mei Leng:
Infection Spreading and Source Identification: A Hide and Seek Game. IEEE Trans. Signal Process. 64(16): 4228-4243 (2016) - [j23]Mei Leng, François Quitin, Wee-Peng Tay, Chi Cheng, Sirajudeen Gulam Razul, Chong Meng Samson See:
Anchor-Aided Joint Localization and Synchronization Using SOOP: Theory and Experiments. IEEE Trans. Wirel. Commun. 15(11): 7670-7685 (2016) - [c46]Feng Ji, Wee Peng Tay, Lav R. Varshney:
Estimating the number of infection sources in a tree. GlobalSIP 2016: 380-384 - [c45]Yi Zhang, Wee Peng Tay, Kwok Hung Li, Moez Esseghir, Dominique Gaïti:
Opportunistic spectrum access with temporal-spatial reuse in cognitive radio networks. ICASSP 2016: 3661-3665 - [c44]Meng Sun, Wee Peng Tay:
Privacy-preserving nonparametric decentralized detection. ICASSP 2016: 6270-6274 - [c43]Xin He, Wee Peng Tay, Meng Sun:
Privacy-aware decentralized detection using linear precoding. SAM 2016: 1-5 - [c42]Pinar Oguz-Ekim, Khaled Ali, Zahra Madadi, François Quitin, Wee-Peng Tay:
Proof of concept study using DSRC, IMU and map fusion for vehicle localization in GNSS-denied environments. ITSC 2016: 841-846 - [c41]Jianhua Tang, Tony Q. S. Quek, Wee Peng Tay:
Joint resource segmentation and transmission rate adaptation in Cloud RAN with Caching as a Service. SPAWC 2016: 1-6 - [c40]Xionghu Zhong, Wee-Peng Tay, Mei Leng, Sirajudeen Gulam Razul, Chong Meng Samson See:
TDOA-FDOA based multiple target detection and tracking in the presence of measurement errors and biases. SPAWC 2016: 1-6 - [c39]Feng Ji, Wee Peng Tay:
Identifying rumor sources with different start times. SSP 2016: 1-5 - [c38]Yuan Wang, Wee Peng Tay, Wuhua Hu:
Multitask diffusion LMS with optimized inter-cluster cooperation. SSP 2016: 1-5 - [c37]Zahra Madadi, François Quitin, Wee-Peng Tay:
Receiver Tracking Using Signals of Opportunity from Asynchronous RF Beacons in GNSS-Denied Environments. VTC Fall 2016: 1-5 - [c36]François Quitin, Vivek Govindaraj, Xionghu Zhong, Wee-Peng Tay:
Virtual Multi-Antenna Array for Estimating the Angle-of-Arrival of a RF Transmitter. VTC Fall 2016: 1-5 - [i16]Meng Sun, Wee Peng Tay, Xin He:
Towards Information Privacy for the Internet of Things. CoRR abs/1611.04254 (2016) - 2015
- [j22]Wenjie Xu, François Quitin, Mei Leng, Wee-Peng Tay, Sirajudeen Gulam Razul:
Distributed Localization of a RF Target in NLOS Environments. IEEE J. Sel. Areas Commun. 33(7): 1317-1330 (2015) - [j21]Wee Peng Tay:
Whose Opinion to Follow in Multihypothesis Social Learning? A Large Deviations Perspective. IEEE J. Sel. Top. Signal Process. 9(2): 344-359 (2015) - [j20]Mei Leng, Wee-Peng Tay, Tony Q. S. Quek, Hyundong Shin:
Distributed Local Linear Parameter Estimation Using Gaussian SPAWN. IEEE Trans. Signal Process. 63(1): 244-257 (2015) - [j19]Wuhua Hu, Wee Peng Tay:
Multi-Hop Diffusion LMS for Energy-Constrained Distributed Estimation. IEEE Trans. Signal Process. 63(15): 4022-4036 (2015) - [j18]Jack Ho, Wee-Peng Tay, Tony Q. S. Quek, Edwin K. P. Chong:
Robust Decentralized Detection and Social Learning in Tandem Networks. IEEE Trans. Signal Process. 63(19): 5019-5032 (2015) - [j17]Jianhua Tang, Wee-Peng Tay, Tony Q. S. Quek:
Cross-Layer Resource Allocation With Elastic Service Scaling in Cloud Radio Access Network. IEEE Trans. Wirel. Commun. 14(9): 5068-5081 (2015) - [c35]Yuan Wang, Wee Peng Tay, Wuhua Hu:
An energy-efficient diffusion strategy over adaptive networks. ICICS 2015: 1-5 - [c34]Jianhua Tang, Wee-Peng Tay, Tony Q. S. Quek, Ben Liang:
Towards system cost minimization in cloud radio access network. ACSSC 2015: 1460-1464 - [c33]Wuqiong Luo, Wee-Peng Tay, Mei Leng:
Rumor Spreading Maximization and Source Identification in a Social Network. ASONAM 2015: 186-193 - [c32]Wuhua Hu, Wee Peng Tay, Athul Harilal, Gaoxi Xiao:
Network infection source identification under the SIRI model. ICASSP 2015: 1712-1716 - [c31]Zahra Madadi, François Quitin, Wee-Peng Tay:
Periodic RF transmitter geolocation using a mobile receiver. ICASSP 2015: 2584-2588 - [c30]Chi Cheng, Wuhua Hu, Wee Peng Tay:
Localization of a moving non-cooperative RF target in NLOS environment using RSS and AOA measurements. ICASSP 2015: 3581-3585 - [c29]Gabriel E. García, Wuhua Hu, Wee Peng Tay, Henk Wymeersch:
Joint scheduling and localization in UWB networks. ICC Workshops 2015: 724-729 - [c28]François Quitin, Zahra Madadi, Wee-Peng Tay:
RF transmitter geolocation based on signal periodicity: Concept and implementation. ICC 2015: 4593-4598 - [c27]Wuqiong Luo, Wee-Peng Tay, Mei Leng, Maria Katrina Guevara:
On the universality of the Jordan center for estimating the rumor source in a social network. DSP 2015: 760-764 - [p1]Mei Leng, Wee-Peng Tay:
Fundamental Limits of Self-localization for Cooperative Robotic Platforms Using Signals of Opportunity. Advances in Social Media Analysis 2015: 159-181 - [i15]Jack Ho, Wee-Peng Tay, Tony Q. S. Quek, Edwin K. P. Chong:
Robust Decentralized Detection and Social Learning in Tandem Networks. CoRR abs/1501.05847 (2015) - [i14]Wuqiong Luo, Wee-Peng Tay, Mei Leng:
Rumor Spreading and Source Identification: A Hide and Seek Game. CoRR abs/1504.04796 (2015) - 2014
- [j16]Yi Zhang, Wee Peng Tay, Kwok Hung Li, Dominique Gaïti:
Distributed Boundary Estimation for Spectrum Sensing in Cognitive Radio Networks. IEEE J. Sel. Areas Commun. 32(11): 1961-1973 (2014) - [j15]Wuqiong Luo, Wee-Peng Tay, Mei Leng:
How to Identify an Infection Source With Limited Observations. IEEE J. Sel. Top. Signal Process. 8(4): 586-597 (2014) - [j14]Wuhua Hu, Wee Peng Tay:
An integer linear programming approach for a class of bilinear integer programs. Oper. Res. Lett. 42(3): 226-230 (2014) - [j13]Jianhua Tang, Wee-Peng Tay, Yonggang Wen:
Dynamic Request Redirection and Elastic Service Scaling in Cloud-Centric Media Networks. IEEE Trans. Multim. 16(5): 1434-1445 (2014) - [j12]Mei Leng, Wee-Peng Tay, Chong Meng Samson See, Sirajudeen Gulam Razul, Moe Z. Win:
Modified CRLB for Cooperative Geolocation of Two Devices Using Signals of Opportunity. IEEE Trans. Wirel. Commun. 13(7): 3636-3649 (2014) - [c26]Wuhua Hu, Wee Peng Tay:
Generalized diffusion adaptation for energy-constrained distributed estimation. FUSION 2014: 1-8 - [c25]Wenjie Xu, François Quitin, Mei Leng, Wee-Peng Tay, Sirajudeen Gulam Razul:
Distributed localization of a non-cooperative RF target in NLOS environments. FUSION 2014: 1-8 - [c24]Jianhua Tang, Wee-Peng Tay, Tony Q. S. Quek:
Cross-layer resource allocation in cloud radio access network. GlobalSIP 2014: 158-162 - [c23]Yi Zhang, Wee Peng Tay, Kwok Hung Li, Moez Esseghir, Dominique Gaïti:
Distributed opportunistic spectrum access with spatial reuse in cognitive radio networks. GlobalSIP 2014: 1242-1246 - [c22]Jack Ho, Wee-Peng Tay, Tony Q. S. Quek:
Robust detection and social learning in tandem networks. ICASSP 2014: 5457-5461 - [i13]Wee Peng Tay:
Whose Opinion to follow in Multihypothesis Social Learning? A Large Deviation Perspective. CoRR abs/1403.4011 (2014) - [i12]Mei Leng, Wee-Peng Tay, Tony Q. S. Quek, Hyundong Shin:
Distributed Local Linear Parameter Estimation using Gaussian SPAWN. CoRR abs/1404.3145 (2014) - [i11]Wuhua Hu, Wee Peng Tay:
A Generalized Diffusion Strategy for Energy-constrained Distributed Estimation. CoRR abs/1407.6490 (2014) - [i10]Wenjie Xu, François Quitin, Mei Leng, Wee-Peng Tay, Sirajudeen Gulam Razul:
Distributed localization of a RF target in NLOS environments. CoRR abs/1408.3195 (2014) - [i9]Wuhua Hu, Wee Peng Tay, Athul Harilal, Gaoxi Xiao:
Network infection source identification under the SIRI model. CoRR abs/1410.2995 (2014) - [i8]Wuqiong Luo, Wee-Peng Tay, Mei Leng:
On the Universality of Jordan Centers for Estimating Infection Sources in Tree Networks. CoRR abs/1411.2370 (2014) - 2013
- [j11]Yogesh Nijsure, Wee Peng Tay, Erry Gunawan, Fuxi Wen, Zhang Yang, Yong Liang Guan, Ai Ping Chua:
An Impulse Radio Ultrawideband System for Contactless Noninvasive Respiratory Monitoring. IEEE Trans. Biomed. Eng. 60(6): 1509-1517 (2013) - [j10]De Wen Soh, Wee-Peng Tay, Tony Q. S. Quek:
Randomized Information Dissemination in Dynamic Environments. IEEE/ACM Trans. Netw. 21(3): 681-691 (2013) - [j9]Wuqiong Luo, Wee-Peng Tay, Mei Leng:
Identifying Infection Sources and Regions in Large Networks. IEEE Trans. Signal Process. 61(11): 2850-2865 (2013) - [j8]Nguyen Minh Tri, Youngmin Jeong, Tony Q. S. Quek, Wee-Peng Tay, Hyundong Shin:
Interference Alignment in a Poisson Field of MIMO Femtocells. IEEE Trans. Wirel. Commun. 12(6): 2633-2645 (2013) - [c21]Wenjie Xu, Mei Leng, Wee-Peng Tay, Sirajudeen Gulam Razul:
Distributed localization of an unknown target in NLOS environments. ICICS 2013: 1-5 - [c20]Wuqiong Luo, Wee-Peng Tay:
Estimating infection sources in a network with incomplete observations. GlobalSIP 2013: 301-304 - [c19]Wuqiong Luo, Wee-Peng Tay:
Finding an infection source under the SIS model. ICASSP 2013: 2930-2934 - [c18]Mei Leng, Wee-Peng Tay, Chong Meng Samson See, Sirajudeen Gulam Razul:
Fundamental limits for location and velocity estimation using asynchronous beacons. WCNC 2013: 2851-2856 - [c17]Yi Zhang, Wee Peng Tay, Kwok Hung Li, Dominique Gaïti:
Distributed boundary estimation for spectrum sensing in cognitive radio networks. WCNC 2013: 4107-4112 - [i7]Mei Leng, Wee-Peng Tay, Chong Meng Samson See, Sirajudeen Gulam Razul, Moe Z. Win:
Fundamental Limits for Location and Velocity Estimation using Signals of Opportunity. CoRR abs/1306.0682 (2013) - [i6]Wuqiong Luo, Wee-Peng Tay:
Finding an infection source under the SIS model. CoRR abs/1309.3874 (2013) - [i5]Wuqiong Luo, Wee-Peng Tay, Mei Leng:
How to Identify an Infection Source with Limited Observations. CoRR abs/1309.4161 (2013) - 2012
- [j7]Guoqiang Hu, Wee-Peng Tay, Yonggang Wen:
Cloud robotics: architecture, challenges and applications. IEEE Netw. 26(3): 21-28 (2012) - [j6]Wee Peng Tay:
The Value of Feedback in Decentralized Detection. IEEE Trans. Inf. Theory 58(12): 7226-7239 (2012) - [c16]Wee Peng Tay:
Session TA3b: Compressive estimation. ACSCC 2012: 950-952 - [c15]Wuqiong Luo, Wee-Peng Tay:
Identifying multiple infection sources in a network. ACSCC 2012: 1483-1489 - [c14]Fuxi Wen, Wee Peng Tay:
Localization for mixed near-field and far-field sources using data supported optimization. FUSION 2012: 402-407 - [c13]Fuxi Wen, Wee Peng Tay:
Tensor decomposition based R-dimensional matrix pencil method. FUSION 2012: 1712-1717 - [c12]Mei Leng, Wee-Peng Tay, Tony Q. S. Quek:
Cooperative and distributed localization for wireless sensor networks in multipath environments. ICASSP 2012: 3125-3128 - [c11]Yogesh Nijsure, Wee Peng Tay, Erry Gunawan, Joshua Lai Chong Yue:
A Bayesian nonparametric approach to tumor detection using UWB imaging. ICUWB 2012: 187-191 - [c10]Chi Cheng, Wee Peng Tay, Guang-Bin Huang:
Extreme learning machines for intrusion detection. IJCNN 2012: 1-8 - [c9]Mei Leng, Wee-Peng Tay, Chong Meng Samson See, Sirajudeen Gulam Razul:
GPS-free Localization Using Asynchronous Beacons. MSN 2012: 61-67 - [c8]Wuqiong Luo, Wee-Peng Tay:
Identifying infection sources in large tree networks. SECON 2012: 281-289 - [i4]Wuqiong Luo, Wee-Peng Tay, Mei Leng:
Identifying Infection Sources and Regions in Large Networks. CoRR abs/1204.0354 (2012) - 2011
- [c7]Mei Leng, Wee-Peng Tay, Tony Q. S. Quek:
Cooperative and distributed localization for wireless sensor networks in multipath environments. ICICS 2011: 1-5 - [c6]Wee-Peng Tay, John N. Tsitsiklis:
Error exponents for decentralized detection in feedback architectures. ICASSP 2011: 2496-2499 - [i3]Wee-Peng Tay:
The Value of Feedback in Decentralized Detection. CoRR abs/1108.6121 (2011) - [i2]Mei Leng, Wee-Peng Tay, Tony Q. S. Quek:
Cooperative and Distributed Localization for Wireless Sensor Networks in Multipath Environments. CoRR abs/1109.5770 (2011)
2000 – 2009
- 2009
- [j5]Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win:
Bayesian detection in bounded height tree networks. IEEE Trans. Signal Process. 57(10): 4042-4051 (2009) - 2008
- [b1]Wee Peng Tay:
Decentralized detection in resource-limited sensor network architectures. Massachusetts Institute of Technology, Cambridge, MA, USA, 2008 - [j4]Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win:
Data Fusion Trees for Detection: Does Architecture Matter? IEEE Trans. Inf. Theory 54(9): 4155-4168 (2008) - [j3]Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win:
On the Subexponential Decay of Detection Error Probabilities in Long Tandems. IEEE Trans. Inf. Theory 54(10): 4767-4771 (2008) - [j2]Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win:
On the Impact of Node Failures and Unreliable Communications in Dense Sensor Networks. IEEE Trans. Signal Process. 56(6): 2535-2546 (2008) - [i1]Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win:
Data Fusion Trees for Detection: Does Architecture Matter? CoRR abs/0803.2337 (2008) - 2007
- [j1]Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win:
Asymptotic Performance of a Censoring Sensor Network. IEEE Trans. Inf. Theory 53(11): 4191-4209 (2007) - [c5]Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win:
Bayesian Detection in Bounded Height Tree Networks. DCC 2007: 243-252 - [c4]Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win:
On the Sub-Exponential Decay of Detection Error Probabilities in Long Tandems. ICASSP (2) 2007: 837-840 - [c3]Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win:
Detection in Dense Wireless Sensor Networks. WCNC 2007: 3483-3488 - 2006
- [c2]Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win:
Censoring Sensors: Asymptotics and the Value of Cooperation. CISS 2006: 62-67 - [c1]Wee-Peng Tay, John N. Tsitsiklis, Moe Z. Win:
Asymptotically Optimal Distributed Censoring. ISIT 2006: 625-629
Coauthor Index
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