Selected Publications

Q. Kang, K. Zhao, Q. Ding, F. Ji, X. Li, W. Liang, Y. Song, and W. P. Tay, “Unleashing the potential of fractional calculus in graph neural networks with FROND,” in Proc. International Conference on Learning Representations (ICLR), Vienna, Austria, May 2024, spotlight. [pdf] [repo] [Bib]
@INPROCEEDINGS{KanZhaDin:C24,
    author = {Qiyu Kang and Kai Zhao and Qinxu Ding and Feng Ji and Xuhao Li and Wenfei Liang and Yang Song and Wee Peng Tay},
    title={Unleashing the Potential of Fractional Calculus in Graph Neural Networks with {FROND}},
    booktitle={Proc. International Conference on Learning Representations},
    year={2024},
    address = {Vienna, Austria},
    note ={\textbf{spotlight}},
}
			
Q. Kang, K. Zhao, Y. Song, Y. Xie, Y. Zhao, S. Wang, R. She, and W. P. Tay, “Coupling graph neural networks with fractional order continuous dynamics: A robustness study,” in Proc. AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb. 2024. [pdf] [repo] [Bib]
@INPROCEEDINGS{ZhaKanSon:C24,
author = {Qiyu Kang and Kai Zhao and Yang Song and Yihang Xie and Yanan Zhao and Sijie Wang and Rui She and Wee Peng Tay},
title = {Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: {A} Robustness Study},
booktitle = {Proc. AAAI Conference on Artificial Intelligence},
volume = {},
pages = {},
month = {Feb.},
year = {2024},
address = {Vancouver, Canada},
}
			
R. She, S. Wang, Q. Kang, K. Zhao, Y. Song, W. P. Tay, T. Geng, and X. Jian, “PosDiffNet: Positional neural diffusion for point cloud registration in a large field of view with perturbations,” in Proc. AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb. 2024. [pdf] [repo] [Bib]
@INPROCEEDINGS{SheWanKan:C24,
author = {Rui She and Sijie Wang and Qiyu Kang and Kai Zhao and Yang Song and Wee Peng Tay and Tianyu Geng and Xingchao Jian},
title = {{PosDiffNet: Positional} Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations},
booktitle = {Proc. AAAI Conference on Artificial Intelligence},
volume = {},
pages = {},
month = {Feb.},
year = {2024},
address = {Vancouver, Canada},
}
			
S. Wang, R. She, Q. Kang, X. Jian, K. Zhao, Y. Song, and W. P. Tay, “DistilVPR: Cross-Modal knowledge distillation for visual place recognition,” in Proc. AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, Feb. 2024. [pdf] [repo] [Bib]
@INPROCEEDINGS{WanSheKan:C24,
author = {Sijie Wang and Rui She and Qiyu Kang and Xingchao Jian and Kai Zhao and Yang Song and Wee Peng Tay},
title = {{DistilVPR}: {Cross-Modal} Knowledge Distillation for Visual Place Recognition},
booktitle = {Proc. AAAI Conference on Artificial Intelligence},
volume = {},
pages = {},
month = {Feb.},
year = {2024},
address = {Vancouver, Canada},
}
			
K. Zhao, Q. Kang, Y. Song, R. She, S. Wang, and W. P. Tay, “Adversarial robustness in graph neural networks: A Hamiltonian energy conservation approach,” Advances in Neural Information Processing Systems (NeurIPS), New Orleans, USA, Dec. 2023, spotlight. [pdf] [repo] [Bib]
			@INPROCEEDINGS{ZhaKanSon:C23b,
			author = {Kai Zhao and Qiyu Kang and Yang Song and Rui She and Sijie Wang and Wee Peng Tay},
			title = {Adversarial Robustness in Graph Neural Networks: A {Hamiltonian} Energy Conservation Approach},
			booktitle = {Advances in Neural Information Processing Systems},
			volume = {},
			pages = {},
			month = {Dec.},
			year = {2023},
			address = {New Orleans, USA},
			}
			
K. Zhao, Q. Kang, Y. Song, R. She, S. Wang, and W. P. Tay, “Graph neural convection-diffusion with heterophily,” Proc. International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, Aug. 2023. [pdf] [repo] [Bib]
			@INPROCEEDINGS{ZhaKanSon:C23,
			author = {Kai Zhao and Qiyu Kang and Yang Song and Rui She and Sijie Wang and Wee Peng Tay},
			title = {Graph Neural Convection-Diffusion with Heterophily},
			booktitle = {Proc. International Joint Conference on Artificial Intelligence},
			volume = {},
			pages = {},
			month = {Aug.},
			year = {2023},
			address = {Macao, China},
			}
			
Q. Kang, K. Zhao, Y. Song, S. Wang, and W. P. Tay, “Node embedding from neural Hamiltonian orbits in graph neural networks,” Proc. International Conference on Machine Learning (ICML), Haiwaii, USA, Jul. 2023. [pdf] [repo] [Bib]
			@INPROCEEDINGS{KanZhaSon:C23,
					author = {Qiyu Kang and Kai Zhao and Yang Song and Sijie Wang and Wee Peng Tay},
					title = {Node Embedding from Neural {Hamiltonian} Orbits in Graph Neural Networks},
					booktitle = {Proc. International Conference on Machine Learning},
					volume = {202},
					pages = {15786--15808},
					month = {Jul.},
					year = {2023},
					series = 	 {Proceedings of Machine Learning Research},
					publisher = {PMLR},
			}
			
F. Ji, S. H. Lee, H. Meng, K. Zhao, J. Yang, and W. P. Tay, “Leveraging label non-uniformity for node classification in graph neural networks,” Proc. International Conference on Machine Learning (ICML), Haiwaii, USA, Jul. 2023. [pdf] [repo] [Bib]
			@InProceedings{JiLeeMen:C23,
				title = {Leveraging Label Non-Uniformity for Node Classification in Graph Neural Networks},
				author = {Feng Ji and See Hian Lee and Hanyang Meng and Kai Zhao and Jielong Yang and Wee Peng Tay},
				booktitle = {Proc. International Conference on Machine Learning},
				pages = {14869--14885},
				year = {2023},
				volume = {202},
				series = {Proceedings of Machine Learning Research},
				month = {Jul.},
				publisher = {PMLR},
			}
			
F. Ji, W. P. Tay, and A. Ortega, “Graph signal processing over a probability space of shift operators,” IEEE Transactions on Signal Processing, vol. 71, pp. 1159 – 1174, 2023. [pdf] [repo] [Bib]
			@ARTICLE{JiTayOrt:J23,
			author = {Feng Ji and Wee Peng Tay and Antonio Ortega},
			title = {Graph Signal Processing Over a Probability Space of Shift Operators},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {71}, 
			pages = {1159 -- 1174},
			month = {},
			year = {2023},
			}
			
S. Wang, Q. Kang, R. She, W. Wang, K. Zhao, Y. Song, and W. P. Tay, “HypLiLoc: Towards effective LiDAR pose regression with hyperbolic fusion,” Proc. IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, Jun. 2023. [pdf] [repo] [Bib]
			@INPROCEEDINGS{WanKanSheWan:C23,
			author = {Sijie Wang and Qiyu Kang and Rui She and Wei Wang and Kai Zhao and Yang Song and Wee Peng Tay},
			title = {{HypLiLoc}: Towards Effective {LiDAR} Pose Regression with Hyperbolic Fusion},
			booktitle = {Proc. IEEE/CVF Computer Vision and Pattern Recognition Conference},
			volume = {},
			pages = {},
			month = {Jun.},
			year = {2023},
			address = {Vancouver, Canada},
			}
			
S. Wang, Q. Kang, R. She, W. P. Tay, A. Hartmannsgruber, and D. N. Navarro, “RobustLoc: Robust camera pose regression in challenging driving environments,” Proc. AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, Feb. 2023. [pdf] [repo] [Bib]
			@INPROCEEDINGS{WanKanShe:C23,
			author = {Sijie Wang and Qiyu Kang and Rui She and Wee Peng Tay and Andreas Hartmannsgruber and Diego Navarro Navarro},
			title = {{RobustLoc}: {Robust} Camera Pose Regression in Challenging Driving Environments},
			booktitle = {Proc. AAAI Conference on Artificial Intelligence},
			volume = {},
			pages = {},
			month = {Feb.},
			year = {2023},
			address = {Washington, DC},
			}
			
Y. Song, Q. Kang, S. Wang, K. Zhao, and W. P. Tay, “On the robustness of graph neural diffusion to topology perturbations,” Advances in Neural Information Processing Systems (NeurIPS), New Orleans, USA, Nov. 2022. [pdf] [repo] [Bib]
			@INPROCEEDINGS{SonKanWan:C22,
			author = {Yang Song and Qiyu Kang and Sijie Wang and Kai Zhao and Wee Peng Tay},
			title = {On the Robustness of Graph Neural Diffusion to Topology Perturbations},
			booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
			month = {Nov.},
			year = {2022},
			address = {New Orleans, USA},
			}
			
X. Jian and W. P. Tay, “Wide-sense stationarity in generalized graph signal processing,” IEEE Transactions on Signal Processing, no. 70, pp. 3414 – 3428, 2022. [pdf] [repo] [Bib]
			@ARTICLE{JiaTay:J22,
			author = {Xingchao Jian and Wee Peng Tay},
			title = {Wide-Sense Stationarity in Generalized Graph Signal Processing},
			journal = {{IEEE} Transactions on Signal Processing},
			number = {70},
			pages = {3414 -- 3428},
			year = {2022},
			}
			
S. H. Lee, F. Ji, and W. P. Tay, “SGAT: Simplicial graph attention network,” Proc. International Joint Conference on Artificial Intelligence (IJCAI), Vienna, Austria, Jul. 2022. [pdf] [repo] [Bib]
			@INPROCEEDINGS{LeeJiTay:C22,
			author = {See Hian Lee and Feng Ji and Wee Peng Tay},
			title = {{SGAT}: Simplicial Graph Attention Network},
			booktitle = {Proc. International Joint Conference on Artificial Intelligence (IJCAI)},
			month = {Jul.},
			year = {2022},
			address = {Vienna, Austria},
			}
			
F. Ji, Pratibha, and W. P. Tay, “Unlimited dynamic range signal recovery for folded graph signals,” Signal Processing, vol. 198, p. 108574, 2022. [pdf] [repo] [Bib]
			@ARTICLE{JiPraTay:J22,
			author = {Feng Ji and Pratibha and Wee Peng Tay},
			title = {Unlimited dynamic range signal recovery for folded graph signals},
			journal = {Signal Processing},
			volume = {198},
			pages = {108574},
			year = {2022},
			}
			
Q. Kang, Y. Song, Q. Ding, and W. P. Tay, “Stable neural ODE with Lyapunov-stable equilibrium points for defending against adversarial attacks,” Advances in Neural Information Processing Systems (NeurIPS), virtual, Dec. 2021. [pdf] [repo] [Bib]
			@INPROCEEDINGS{KanSonDinTay:C21,
			author = {Qiyu Kang and Yang Song and Qinxu Ding and Wee Peng Tay},
			title = {Stable Neural {ODE} with {Lyapunov}-Stable Equilibrium Points for Defending Against Adversarial Attacks},
			booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
			month = {Dec.},
			year = {2021},
			address = {virtual},
			}
			
Y. Song, Q. Kang, and W. P. Tay, “Error-correcting output codes with ensemble diversity for robust learning in neural networks,” Proc. AAAI Conference on Artificial Intelligence, virtual, Feb. 2021. [pdf] [repo] [Bib]
			@INPROCEEDINGS{SonKanTay:C21,
			author = {Yang Song and Qiyu Kang and Wee Peng Tay},
			title = {Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks},
			booktitle = {Proc. AAAI Conference on Artificial Intelligence},
			month = {Feb.},
			year = {2021},
			address = {virtual},
			}
			
C. Wang, W. P. Tay, Y. Wei, and Y. Wang, “Privacy-preserving distributed projection LMS for linear multitask networks,” IEEE Transactions on Signal Processing, vol. 69, pp. 6530 – 6545, 2021. [pdf] [repo] [Bib]
			@ARTICLE{WanTayWei:J21,
			author = {Chengcheng Wang and Wee Peng Tay and Ye Wei and Yuan Wang},
			title = {Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {69}, 
			pages = {6530 -- 6545},
			year = {2021},
			}
			
T. S. Lau and W. P. Tay, "Asymptotically optimal sampling policy for quickest change detection with observation-switching cost," IEEE Transactions on Signal Processing, vol. 69, pp. 1332 – 1346, 2021. [pdf] [repo] [Bib]
			@ARTICLE{LauTay:J21,
			author = {Tze Siong Lau and Wee Peng Tay},
			title = {Asymptotically Optimal Sampling Policy for Quickest Change Detection with Observation-Switching Cost},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {69}, 
			pages = {1332 -- 1346},
			year = {2021},
			}
			
C. X. Wang, Y. Song, and W. P. Tay, "Arbitrarily strong utility-privacy tradeoff in multi-agent systems," IEEE Transactions on Information Forensics and Security, vol. 16, pp. 671 – 684, 2021. [pdf] [repo] [Bib]
			@ARTICLE{WanSonTay:J21,
			author = {Chong Xiao Wang and Yang Song and Wee Peng Tay},
			title = {Arbitrarily Strong Utility-Privacy Tradeoff in Multi-Agent Systems},
			journal = {{IEEE} Transactions on Information Forensics and Security},
			volume = {16}, 
			number = {},
			pages = {671 -- 684},
			month = {},
			year = {2021},
			}
			
Y. Song, C. X. Wang, and W. P. Tay, "Compressive privacy for a linear dynamical system," IEEE Transactions on Information Forensics and Security, vol. 15, pp. 895 – 910, 2020. [pdf] [repo] [Bib]
			@ARTICLE{SonWanTay:J20,
			author = {Yang Song and Chong Xiao Wang and Wee Peng Tay},
			title = {Compressive Privacy for a Linear Dynamical System},
			journal = {{IEEE} Transactions on Information Forensics and Security},
			volume = {15}, 
			number = {},
			pages = {895 -- 910},
			month = {},
			year = {2020},
			}
			
M. Sun and W. P. Tay, “On the relationship between inference and data privacy in decentralized IoT networks,” IEEE Transactions on Information Forensics and Security, vol. 15, pp. 852 – 866, 2020. [pdf] [repo] [Bib]
			@ARTICLE{SunTay:J20b,
			author = {Meng Sun and Wee Peng Tay},
			title = {On the Relationship Between Inference and Data Privacy in Decentralized IoT Networks},
			journal = {{IEEE} Transactions on Information Forensics and Security},
			volume = {15}, 
			number = {},
			pages = {852 -- 866},
			month = {},
			year = {2020},
			}
			
M. Sun and W. P. Tay, “Decentralized detection with robust information privacy protection,” IEEE Transactions on Information Forensics and Security, vol. 15, pp. 85 – 99, 2020. [pdf] [repo] [Bib]
			@ARTICLE{SunTay:J20a,
			author = {Meng Sun and Wee Peng Tay},
			title = {Decentralized Detection with Robust Information Privacy Protection},
			journal = {{IEEE} Transactions on Information Forensics and Security},
			volume = {15}, 
			number = {},
			pages = {85-99},
			month = {},
			year = {2020},
			}
			
F. Ji and W. P. Tay, "A Hilbert space theory of generalized graph signal processing," IEEE Transactions on Signal Processing, vol. 67, no. 24, pp. 6188 – 6203, Dec. 2019. [pdf] [repo] [Bib] [Keynote (distinguished presentation) GlobalSIP 2019]
			@ARTICLE{JiTay:J19,
			author = {Feng Ji and Wee Peng Tay},
			title = {A {Hilbert} Space Theory of Generalized Graph Signal Processing},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {67}, 
			number = {24},
			pages	= {6188 -- 6203},
			month	= {Dec.},
			year = {2019},
			}
			
M. Sun, W. P. Tay, and X. He, "Toward information privacy for the Internet of Things: A non-parametric learning approach," IEEE Transactions on Signal Processing, vol. 66, no. 7, pp. 1734 - 1747, Apr. 2018. [pdf] [repo] [Bib]
			@ARTICLE{SunTayHe:J18,
			author = {Meng Sun and Wee Peng Tay and Xin He},
			title = {Toward Information Privacy for the {Internet of Things}: A Non-parametric Learning Approach},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {66}, 
			number = {7},
			pages	= {1734 -- 1747},
			month	= {Apr.},
			year = {2018},
			}
			
W. Luo, W. P. Tay, and M. Leng, "On the universality of Jordan centers for estimating infection sources in tree networks," IEEE Transactions on Information Theory, vol. 63, no. 7, pp. 4634 – 4657, Jul. 2017. Submitted Nov. 2014, accepted Feb. 2017. [pdf] [repo] [Bib]
			@ARTICLE{LuoTayLen:J17,
			author = {Wuqiong Luo and Wee Peng Tay and Mei Leng},
			title = {On the Universality of {Jordan} Centers for Estimating Infection Sources in Tree Networks},
			journal = {{IEEE} Transactions on Information Theory},
			volume = {63}, 
			number = {7},
			pages = { 4634 – 4657},
			month =	{Jul.},
			year = {2017},
			}
			
W. Luo, W. P. Tay, and M. Leng, "Infection spreading and source identification: A hide and seek game," IEEE Transactions on Signal Processing, vol. 64, no. 16, pp. 4338-4243, Aug. 2016. [pdf] [repo] [Bib]
			@ARTICLE{LuoTayLen:J16,
			author = {Wuqiong Luo and Wee Peng Tay and Mei Leng},
			title = {Infection spreading and source identification: A hide and seek game},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {64}, 
			number = {16},
			pages	= {4228 -- 4243},
			month	= {Aug.},
			year =	{2016},
			}
			
J. Ho, W. P. Tay, T. Q. S. Quek, and E. K. P. Chong, "Robust decentralized detection and social learning in tandem networks," IEEE Transactions on Signal Processing, vol. 63, no. 19, pp. 5019–5032, Oct. 2015, IEEE Signal Processing Society Young Author Best Paper Award [pdf] [repo] [Bib]
			@ARTICLE{HoTayQue:J15,
			author = {Jack Ho and Wee Peng Tay and Tony Q. S. Quek and Edwin K. P. Chong},
			title = {Robust decentralized detection and social learning in tandem networks},
			journal	= {{IEEE} Transactions on Signal Processing},
			volume = {63}, 
			number = {19},
			pages = {5019 -- 5032},
			month = {Oct.},
			year = {2015},
			}
			
W. P. Tay, "Whose opinion to follow in multihypothesis social learning? A large deviations perspective," IEEE Journal of Selected Topics in Signal Processing, vol. 9, no. 2, pp. 344–359, Mar. 2015. [pdf] [repo] [Bib]
			@ARTICLE{Tay:J15,
			author = {Wee Peng Tay},
			title = {Whose Opinion to follow in Multihypothesis Social Learning? {A} Large Deviations Perspective},
			journal = {{IEEE} J. Sel. Topics Signal Process.},
			year = {2015}, 
			month = {Mar.}, 
			volume = {9}, 
			number = {2}, 
			pages = {344 -- 359},			
			}
			
W. Luo, W. P. Tay, and M. Leng, “How to identify an infection source with limited observations,” IEEE Journal of Selected Topics in Signal Processing, vol. 8, no. 4, pp. 586–597, Aug. 2014. [pdf] [repo] [codes] [Bib]
			@ARTICLE{LuoTayLen:J14,
			author = {Wuqiong Luo and Wee Peng Tay and Mei Leng},
			title = {How to Identify an Infection Source with Limited Observations},
			journal = {{IEEE} J. Sel. Topics Signal Process.},
			volume = {8},
			number = {4},
			pages = {586 -- 597},
			month = {Aug.},
			year = {2014},
			}
			
W. Luo, W. P. Tay, and M. Leng, “Identifying infection sources and regions in large networks,” IEEE Transactions on Signal Processing, vol. 61, no. 11, pp. 2850–2865, Jun. 2013. [pdf] [repo] [codes] [Bib]
			@ARTICLE{LuoTayLen:J13,
			author = {Wuqiong Luo and Wee Peng Tay and Mei Leng},
			title = {Identifying infection sources and regions in large networks},
			journal = {{IEEE} Transactions on Signal Processing}, 
			volume = {61}, 
			number = {11},
			pages = {2850 -- 2865},
			month = {Jun.},
			year = {2013},
			}
			
W. P. Tay, “The value of feedback in decentralized detection,” IEEE Transactions on Information Theory, vol. 58 , no. 12, pp. 7226–7239, Dec. 2012. [pdf] [repo] [Bib]
			@ARTICLE{Tay:J12,
			author = {Wee Peng Tay},
			title = {The value of feedback in decentralized detection},
			journal = {{IEEE} Transactions on Information Theory},
			volume = {58},
			number = {12},
			pages = {7226 -- 7239},
			month = {Dec.},
			year = {2012},	
			}
			
W. P. Tay, J. N. Tsitsiklis, and M. Z. Win, “On the subexponential decay of detection error probabilities in long tandems,” IEEE Transactions on Information Theory, vol. 54, no. 10, pp. 4767–4771, Oct. 2008. [pdf] [repo] [Bib]
			@ARTICLE{TayTsiWin:J08c,
			author = {Wee Peng Tay and John N. Tsitsiklis and Moe Z. Win},
			title = {On the Subexponential Decay of Detection Error Probabilities in Long Tandems},
			journal = {{IEEE} Transactions on Information Theory},
			volume = {54},
			number = {10},
			pages = {4767 -- 4771},
			month = {Oct.},
			year = {2008},			
			}
			
W. P. Tay, J. N. Tsitsiklis, and M. Z. Win, “Data fusion trees for detection: Does architecture matter?” IEEE Transactions on Information Theory, vol. 54, no. 9, pp. 4155–4168, Sep. 2008. [pdf] [repo] [Bib]
			@ARTICLE{TayTsiWin:J08b,
			author = {Wee Peng Tay and John N. Tsitsiklis and Moe Z. Win},
			title = {Data Fusion Trees for Detection: Does Architecture Matter?},
			journal = {{IEEE} Transactions on Information Theory},
			volume = {54},
			number = {9},
			pages = {4155 -- 4168},
			month = {Sep.},
			year = {2008},			
			}
			

Code Repository

We are committed to making our research reproducible. Please visit the SIGNAL Github to access our paper or project codes.

Book Chapters / Monographs

X. Jian, F. Ji, and W. P. Tay, "Generalizing Graph Signal Processing: High Dimensional Spaces, Models and Structures," in Foundations and Trends® in Signal Processing, vol. 17, no. 3, pp. 209–290, 2023. [Online] [Bib]
			@article{JianJiTay:B23,
			author = {Xingchao Jian and Feng Ji and Wee Peng Tay},
			title = {Generalizing Graph Signal Processing: High Dimensional Spaces, Models and Structures},
			year = {2023},
			volume = {17},
			journal = {Foundations and Trends® in Signal Processing},
			number = {3},
			pages = {209-290},
			url = {http://dx.doi.org/10.1561/2000000119},
			doi = {10.1561/2000000119},
			issn = {1932-8346},
			}
			
F. Ji, W. Tang, J. Yang, and W. P. Tay, "Online information spreading and source identification," in Online Social Networks: Perspectives, Applications and Developments, C. W. Tan, Ed. Hauppauge, NY: Nova Science Publishers, Inc., 2020, ch. 4. [Bib]
			@INCOLLECTION{JiTanYan:BC20,
			author = {Feng Ji and Wenchang Tang and Jielong Yang and Wee Peng Tay},
			title = {Online Information Spreading and Source Identification},
			booktitle = {Online Social Networks: Perspectives, Applications and Developments},
			series = {},
			volume = {},
			chapter = {4},
			pages = {},
			year = {2020},
			editor = {Chee Wei Tan},
			publisher = {Nova Science Publishers, Inc.},
			address = {Hauppauge, NY},
			}
			
R. Rabiee, I. Bajaj, and W. P. Tay, "Vehicle localization in GNSS-denied environments," in Cooperative Localization and Navigation: Theory, Research, and Practice, C. Gao, G. Zhao, and H. Fourati, Eds. Boca Raton, FL: CRC Press, 2019, pp. 199 – 222. [Bib]
			@INCOLLECTION{RabBajTay:BC19,
			author = {Ramtin Rabiee and Ian Bajaj and Wee Peng Tay},
			title = {Vehicle Localization in {GNSS}-Denied Environments},
			booktitle = {Cooperative Localization and Navigation: Theory, Research, and Practice},
			series = {},
			volume = {},
			chapter = {11},
			pages = {199 -- 222},
			year = {2019},
			editor = {Chao Gao and Guorong Zhao and Hassen Fourati},
			publisher = {CRC Press},
			address = {Boca Raton, FL},
			}
			
M. Leng and W. P. Tay, "Fundamental limits of self-localization for cooperative robotic platforms using signals of opportunity," in Cooperative Robots and Sensor Networks, ser. Studies in Computational Intelligence, A. Koubâa and J. R. M. de Dios, Eds. Cham: Springer, 2015, vol. 604, pp. 159 – 181. [Bib]
			@INCOLLECTION{LenTay:BC15,
			author = {Mei Leng and Wee Peng Tay},
			title = {Fundamental limits of self-localization for cooperative robotic platforms using signals of opportunity},
			booktitle = {Cooperative Robots and Sensor Networks},
			series = {Studies in Computational Intelligence},
			volume = {604},
			chapter = {},
			pages = {159 -- 181},
			year = {2015},
			editor = {Anis Koubâa and J. Ramiro Martínez-de Dios},
			publisher = {Springer},
			address = {Cham},
			}
			
W. P. Tay and J. N. Tsitsiklis, "Error exponents for decentralized detection in tree networks," in Future Directions in Systems Research for Networked Sensing, V. Saligrama, Ed. Boston, MA: Springer, 2008, pp. 73 – 92. [Bib]
			@INCOLLECTION{TayTsi:BC07,
			author = {Wee Peng Tay and John N. Tsitsiklis},
			title = {Error Exponents for Decentralized Detection in Tree Networks},
			booktitle = {Networked Sensing Information and Control},
			series = {}, 
			volume = {},
			chapter = {},
			pages = {73 -- 92},
			year = {2008},
			editor = {V. Saligrama},
			publisher = {Springer},
			address = {Boston, MA},
			}
			

Journals (Full List)

Q. Kang, W. P. Tay, R. She, S. Wang, X. Liu, and Y.-R. Yang, “Multi-armed linear bandits with latent biases,” Information Sciences, p. 120103, 2024, in press. [pdf] [repo] [Bib]
			@ARTICLE{KanTayShe:J24,
				author = {Qiyu Kang and Wee Peng Tay and Rui She and Sijie Wang and Xiaoqian Liu and Yuan-Rui Yang},
				journal = {Information Sciences}, 
				title = {Multi-Armed Linear Bandits With Latent Biases}, 
				year = {2024},
				volume = {},
				number = {},
				pages = {120103},
				note = {in press},
				issn = {0020-0255},
				doi = {https://doi.org/10.1016/j.ins.2024.120103},
			}
			
X. Liu, Y. Yuan, T. Zhang, G. Cui, and W. P. Tay, “Integrated transmit waveform and RIS phase shift design for LPI detection and communication,” IEEE Transactions on Wireless Communications, in press. [pdf] [Bib]
			@ARTICLE{LiuYuaZha:J24b,
				author = {Liu, Xinyu and Yuan, Ye and Zhang, Tianxian and Cui, Guolong and Tay, Wee Peng},
				title = {Integrated Transmit Waveform and {RIS} Phase Shift Design for {LPI} Detection and Communication},
				journal = {{IEEE} Transactions on Wireless Communications},
				volume = {}, 
				pages = {},
				month = {},
				year = {2023},
				note = {in press},
			}
			
R. She, Q. Kang, S. Wang, W. P. Tay, K. Zhao, Y. Song, T. Geng, Y. Xu, D. N. Navarro, and A. Hartmannsgruber, “PointDifformer: Robust point cloud registration with neural diffusion and transformer,” IEEE Transactions on Geoscience and Remote Sensing, vol. 62, pp. 1 – 15, 2024. [pdf] [repo] [Bib]
@ARTICLE{SheKanWan:J24,
author = {She, Rui and Kang, Qiyu and Wang, Sijie and Tay, Wee Peng and Zhao, Kai and Song, Yang and Geng, Tianyu and Xu, Yi and Navarro, Diego Navarro and Hartmannsgruber, Andreas},
journal = {{IEEE} Transactions on Geoscience and Remote Sensing}, 
title = {{PointDifformer: Robust} Point Cloud Registration with Neural Diffusion and Transformer}, 
year = {2024},
volume = {62},
number = {},
pages = {1 -- 15},
doi = {10.1109/TGRS.2024.3351286},
}
			
R. She, Q. Kang, S. Wang, Y.-R. Yang, K. Zhao, Y. Song, and W. P. Tay, “RobustMat: Neural diffusion for street landmark patch matching under challenging environments,” IEEE Transactions on Image Processing, vol. 32, pp. 5550 – 5563, 2023. [pdf] [repo] [Bib]
			@ARTICLE{SheKanWan:J23b,
			author = {She, Rui and Kang, Qiyu and Wang, Sijie and Yang, Yuan-Rui and Zhao, Kai and Song, Yang and Tay, Wee Peng},
			journal = {{IEEE} Transactions on Image Processing}, 
			title = {{RobustMat}: Neural Diffusion for Street Landmark Patch Matching under Challenging Environments}, 
			year = {2023},
			volume = {32},
			number = {},
			pages = {5550 -- 5563},
			doi = {10.1109/TIP.2023.3318963},
			}
			
R. She, Q. Kang, S. Wang, W. P. Tay, Y. L. Guan, D. N. Navarro, and A. Hartmannsgruber, “Image patch-matching with graph-based learning in street scenes,” IEEE Transactions on Image Processing, vol. 32, pp. 3465 – 3480, 2023. [pdf] [repo] [Bib]
			@ARTICLE{SheKanWan:J23,
			author = {She, Rui and Kang, Qiyu and Wang, Sijie and Tay, Wee Peng and Guan, Yong Liang and Navarro, Diego Navarro and Hartmannsgruber, Andreas},
			journal = {{IEEE} Transactions on Image Processing}, 
			title = {Image Patch-Matching With Graph-Based Learning in Street Scenes}, 
			year = {2023},
			volume = {32},
			number = {},
			pages = {3465-3480},
			doi = {10.1109/TIP.2023.3281171},
			}
			
F. Ji, W. P. Tay, and A. Ortega, “Graph signal processing over a probability space of shift operators,” IEEE Transactions on Signal Processing, vol. 71, pp. 1159 – 1174, 2023. [pdf] [repo] [Bib]
			@ARTICLE{JiTayOrt:J23,
			author = {Feng Ji and Wee Peng Tay and Antonio Ortega},
			title = {Graph Signal Processing Over a Probability Space of Shift Operators},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {71}, 
			pages = {1159 -- 1174},
			month = {},
			year = {2023},
			}
			
W. Zhang, Z. Wang, and W. P. Tay, “Approximate maximum-likelihood RIS-aided positioning,” IEEE Transactions on Wireless Communications, vol. 22, no. 12, pp. 8859 – 8875, Dec. 2023. [pdf] [repo] [Bib]
			@ARTICLE{ZhaWanTay:J23,
			author = {Wei Zhang and Zhenni Wang and Wee Peng Tay},
			title = {Approximate Maximum-Likelihood {RIS}-Aided Positioning},
			journal = {{IEEE} Transactions on Wireless Communications},
			volume = {22},
			number = {12}, 
			pages = {8859 -- 8875},
			month = {Dec.},
			year = {2023},
			}
			
H. Cheng, J. T. Zhou, W. P. Tay, and B. Wen, “Graph neural networks with triple attention for few-shot learning,” IEEE Transactions on Multimedia, 2023, vol. 25, pp. 8225 – 8239, 2023. [pdf] [repo] [Bib]
			@ARTICLE{CheZhouTay:J23,
			author = {Hao Cheng and Joey Tianyi Zhou and Wee Peng Tay and Bihan Wen},
			title = {Graph Neural Networks With Triple Attention For Few-Shot Learning},
			journal = {{IEEE} Transactions on Multimedia},
			volume = {25}, 
			number = {},
			pages = {8225 -- 8239},
			month = {},
			year = {2023},
			}
			
X. Liu, Y. Yuan, T. Zhang, G. Cui, and W. P. Tay, “LPI radar signal design resistant to identification by ESM systems,” IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 6, pp. 9233 – 9246, Dec. 2023. [pdf] [Bib]
			@ARTICLE{LiuYuaZha:J23,
				author = {Liu, Xinyu and Yuan, Ye and Zhang, Tianxian and Cui, Guolong and Tay, Wee Peng},
				title = {{LPI} Radar Signal Design Resistant to Identification by {ESM} Systems},
				journal = {{IEEE} Transactions on Aerospace and Electronic Systems},
				volume = {59},
				number = {6}, 
				pages = {9233 -- 9246},
				month = {Dec.},
				year = {2023},
			}
			
P. Lin, C. Deng, Y. Yang, C. H. T. Lee, and W. P. Tay, “Resilience-oriented control for cyber-physical hybrid energy storage systems using a semi-consensus scheme: Design and practice,” IEEE Transactions on Industrial Electronics, vol. 70, no. 3, pp. 2508 – 2519, Mar. 2023. [pdf] [repo] [Bib]
			@ARTICLE{LinDenYan:J21,
			author = {Pengfeng Lin and Chao Deng and Yongheng Yang and Christopher H. T. Lee and Wee Peng Tay},
			title = {Resilience-Oriented Control for Cyber-Physical Hybrid Energy Storage Systems Using A Semi-Consensus Scheme: Design and Practice},
			journal = {{IEEE} Transactions on Industrial Electronics},
			volume = {70}, 
			number = {3},
			pages = {2508 -- 2519},
			month = {Mar.},
			year = {2023},
			}
			
X. Jian and W. P. Tay, “Wide-sense stationarity in generalized graph signal processing,” IEEE Transactions on Signal Processing, no. 70, pp. 3414 – 3428, 2022. [pdf] [repo] [Bib]
			@ARTICLE{JiaTay:J22,
			author = {Xingchao Jian and Wee Peng Tay},
			title = {Wide-Sense Stationarity in Generalized Graph Signal Processing},
			journal = {{IEEE} Transactions on Signal Processing},
			number = {70},
			pages = {3414 -- 3428},
			year = {2022},
			}
			
Y. Yan, I. Bajaj, R. Rabiee, and W. P. Tay, “A tightly coupled integration approach for cooperative positioning enhancement in DSRC vehicular networks,” IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 12, pp. 23 278 – 23 294, Dec. 2022. [pdf] [repo] [Bib]
			@ARTICLE{YanBajRab:J22,
			author = {Yongsheng Yan and Ian Bajaj and Ramtin Rabiee and Wee Peng Tay},
			title = {A Tightly Coupled Integration Approach for Cooperative Positioning Enhancement in {DSRC} Vehicular Networks},
			journal = {{IEEE} Transactions on Intelligent Transportation Systems},
			volume = {23}, 
			number = {12},
			pages = {23278 -- 23294},
			month = {Dec.},
			year = {2022},
			}
			
J. Yang and W. P. Tay, "An unsupervised Bayesian neural network for truth discovery in social networks," IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 11, pp. 5182 – 5195, Nov. 2022. [pdf] [repo] [Bib]
			@ARTICLE{YanTay:J21,
			author = {Jielong Yang and Wee Peng Tay},
			title = {An Unsupervised {Bayesian} Neural Network for Truth Discovery in Social Networks},
			journal = {{IEEE} Transactions on Knowledge and Data Engineering},
			volume = {34}, 
			number = {11},
			pages = {5182 -- 5195},
			month = {Nov.},
			year = {2022},
			}
			
A. B. Bhutto, X. S. Vu, E. Elmroth, W. P. Tay, and M. Bhuyan, “Reinforced transformer learning for VSI-DDoS detection in edge clouds,” IEEE Access, vol. 10, pp. 94 677–94 690, 2022. [pdf] [Bib]
			@ARTICLE{BhuVuElm:J22,
			author = {Bhutto, Adil Bin and Vu, Xuan Son and Elmroth, Erik and Tay, Wee Peng and Bhuyan, Monowar},
			journal = {{IEEE} Access}, 
			title = {Reinforced Transformer Learning for {VSI-DDoS} Detection in Edge Clouds}, 
			year = {2022},
			volume = {10},
			number = {},
			pages = {94677-94690},
			}
			
Q. Kang and W. P. Tay, "Task recommendation in crowdsourcing based on learning preferences and reliabilities," IEEE Transactions on Services Computing, vol. 15, no. 4, pp. 1785–1798, 2022. [pdf] [repo] [Bib]
			@ARTICLE{KanTay:J22,
			author = {Qiyu Kang and Wee Peng Tay},
			title = {Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities},
			journal = {{IEEE} Transactions on Services Computing},
			year={2022},
			volume={15},
			number={4},
			pages={1785-1798},
			}
			
F. Ji, Pratibha, and W. P. Tay, “Unlimited dynamic range signal recovery for folded graph signals,” Signal Processing, vol. 198, p. 108574, 2022. [pdf] [repo] [Bib]
			@ARTICLE{JiPraTay:J22,
			author = {Feng Ji and Pratibha and Wee Peng Tay},
			title = {Unlimited dynamic range signal recovery for folded graph signals},
			journal = {Signal Processing},
			volume = {198},
			pages = {108574},
			year = {2022},
			}
			
F. Ji, G. Kahn, and W. P. Tay, “Signal processing on simplicial complexes with vertex signals,” IEEE Access, vol. 10, pp. 41 889 – 41 901, 2022. [pdf] [Bib]
			@ARTICLE{JiKahTay:J22,
			author={Feng Ji and Giacomo Kahn and Wee Peng Tay},
			title={Signal Processing on Simplicial Complexes with Vertex Signals}, 
			journal={{IEEE} Access}, 
			year={2022},
			volume={10},
			pages={41889 -- 41901},
			}
			
C. Wang, W. P. Tay, Y. Wei, and Y. Wang, “Privacy-preserving distributed projection LMS for linear multitask networks,” IEEE Transactions on Signal Processing, vol. 69, pp. 6530 – 6545, 2021. [pdf] [repo] [Bib]
			@ARTICLE{WanTayWei:J21,
			author = {Chengcheng Wang and Wee Peng Tay and Ye Wei and Yuan Wang},
			title = {Privacy-Preserving Distributed Projection LMS for Linear Multitask Networks},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {69}, 
			pages = {6530 -- 6545},
			year = {2021},
			}
			
W. Zhang and W. P. Tay, “Cost-efficient RIS-aided channel estimation via rank-one matrix factorization,” IEEE Wireless Communications Letters, vol. 10, no. 11, pp. 2562 – 2566, Nov. 2021. [pdf] [Bib]
			@ARTICLE{ZhaTay:J21,
			author = {Wei Zhang and Wee Peng Tay},
			title = {Cost-Efficient {RIS}-Aided Channel Estimation via Rank-One Matrix Factorization},
			journal = {{IEEE} Wireless Commun. Lett.},
			volume = {10}, 
			number = {11},
			pages = {2562 -- 2566},
			month = {Nov.},
			year = {2021},
			}
			
T. S. Lau and W. P. Tay, "Asymptotically optimal sampling policy for quickest change detection with observation-switching cost," IEEE Transactions on Signal Processing, vol. 69, pp. 1332 – 1346, 2021. [pdf] [repo] [Bib]
			@ARTICLE{LauTay:J21,
			author = {Tze Siong Lau and Wee Peng Tay},
			title = {Asymptotically Optimal Sampling Policy for Quickest Change Detection with Observation-Switching Cost},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {69}, 
			pages = {1332 -- 1346},
			year = {2021},
			}
			
C. X. Wang, Y. Song, and W. P. Tay, "Arbitrarily strong utility-privacy tradeoff in multi-agent systems," IEEE Transactions on Information Forensics and Security, vol. 16, pp. 671 – 684, 2021. [pdf] [repo] [Bib]
			@ARTICLE{WanSonTay:J21,
			author = {Chong Xiao Wang and Yang Song and Wee Peng Tay},
			title = {Arbitrarily Strong Utility-Privacy Tradeoff in Multi-Agent Systems},
			journal = {{IEEE} Transactions on Information Forensics and Security},
			volume = {16}, 
			number = {},
			pages = {671 -- 684},
			month = {},
			year = {2021},
			}
			
Y. Song, C. X. Wang, and W. P. Tay, "Compressive privacy for a linear dynamical system," IEEE Transactions on Information Forensics and Security, vol. 15, pp. 895 – 910, 2020. [pdf] [repo] [Bib]
			@ARTICLE{SonWanTay:J20,
			author = {Yang Song and Chong Xiao Wang and Wee Peng Tay},
			title = {Compressive Privacy for a Linear Dynamical System},
			journal = {{IEEE} Transactions on Information Forensics and Security},
			volume = {15}, 
			number = {},
			pages = {895 -- 910},
			month = {},
			year = {2020},
			}
			
M. Sun and W. P. Tay, “On the relationship between inference and data privacy in decentralized IoT networks,” IEEE Transactions on Information Forensics and Security, vol. 15, pp. 852 – 866, 2020. [pdf] [repo] [Bib]
			@ARTICLE{SunTay:J20b,
			author = {Meng Sun and Wee Peng Tay},
			title = {On the Relationship Between Inference and Data Privacy in Decentralized IoT Networks},
			journal = {{IEEE} Transactions on Information Forensics and Security},
			volume = {15}, 
			number = {},
			pages = {852 -- 866},
			month = {},
			year = {2020},
			}
			
M. Sun and W. P. Tay, “Decentralized detection with robust information privacy protection,” IEEE Transactions on Information Forensics and Security, vol. 15, pp. 85 – 99, 2020. [pdf] [repo] [Bib]
			@ARTICLE{SunTay:J20a,
			author = {Meng Sun and Wee Peng Tay},
			title = {Decentralized Detection with Robust Information Privacy Protection},
			journal = {{IEEE} Transactions on Information Forensics and Security},
			volume = {15}, 
			number = {},
			pages = {85-99},
			month = {},
			year = {2020},
			}
			
X. Liu, W. P. Tay, Z.-W. Liu, and G. Xiao, "Quasi-synchronization of heterogeneous networks with a generalized Markovian topology and event-triggered communication," IEEE Transactions on Cybernetics, vol. 50, no. 10, pp. 4200 – 4213, Oct. 2020. [pdf] [Bib]
			@ARTICLE{LiuTayLiu:J20,
			author = {Xinghua Liu and Wee Peng Tay and Zhi-Wei Liu and Gaoxi Xiao},
			title = {Quasi-synchronization of heterogeneous networks with a generalized {Markovian} topology and event-triggered communication},
			journal = {{IEEE} Transactions on Cybernetics},
			volume = {50}, 
			number = {10},
			pages	= {4200 -- 4213},
			month	= {Oct.},
			year = {2020},
			}
			
F. Ji, W. Tang, W. P. Tay, and E. K. P. Chong, "Network topology inference using information cascades with limited statistical knowledge," Information and Inference: A Journal of the IMA, vol. 9, no. 2, pp. 327 – 360, Jun. 2020. [pdf] [repo] [Bib]
			@ARTICLE{JiTanTayCho:J20,
			author = {Feng Ji and Wenchang Tang and Wee Peng Tay and Edwin K. P. Chong},
			title = {Network Topology Inference Using Information Cascades with Limited Statistical Knowledge},
			journal = {Information and Inference: A Journal of the {IMA}},
			volume = {9}, 
			number = {2},
			pages	= {327 -– 360},
			month	= {Jun.},
			year = {2020},
			}
			
F. Ji and W. P. Tay, "A Hilbert space theory of generalized graph signal processing," IEEE Transactions on Signal Processing, vol. 67, no. 24, pp. 6188 – 6203, Dec. 2019. [pdf] [repo] [Bib] [Keynote (distinguished presentation) GlobalSIP 2019]
			@ARTICLE{JiTay:J19,
			author = {Feng Ji and Wee Peng Tay},
			title = {A {Hilbert} Space Theory of Generalized Graph Signal Processing},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {67}, 
			number = {24},
			pages	= {6188 -- 6203},
			month	= {Dec.},
			year = {2019},
			}
			
X. He, W. P. Tay, H. Lei, M. Sun, and Y. Gong, "Privacy-aware sensor network via multilayer nonlinear processing," IEEE Internet of Things Journal, vol. 6, no. 6, pp. 10834 – 10845, Dec. 2019. [pdf] [Bib]
			@ARTICLE{HeTayHua:J19,
			author = {Xin He and Wee Peng Tay and Huang Lei and Meng Sun and Yi Gong},
			title = {Privacy-Aware Sensor Network Via Multilayer Nonlinear Processing},
			journal = {{IEEE} Internet Things J.}, 
			volume = {6},
			number = {6},
			pages = {10834 -- 10845},
			month = {Dec.},
			year = {2019},
			}
			
F. Wen, H. Wymeersch, B. Peng, W. P. Tay, H. C. So and D. Yang, “A survey on 5G massive MIMO localization,” Digital Signal Processing, vol. 94, pp. 21 – 28, Nov. 2019. [pdf] [Bib]
			@ARTICLE{WenWymPen:J19,
			author = {Fuxi Wen and Henk Wymeersch and Bile Peng and Wee Peng Tay and Hing Cheung So and Diange Yang},
			title = {A Survey on {5G} Massive {MIMO} Localization},
			journal = {Digital Signal Processing},
			volume = {94}, 
			number = {},
			pages	= {21 -- 28},
			month	= {Nov.},
			year = {2019},
			}
			
Q. Kang and W. P. Tay, "Sequential multi-class labeling in crowdsourcing," IEEE Transactions on Knowledge and Data Engineering, vol. 31, no. 11, pp. 2190 – 2199, Nov. 2019. [pdf] [repo] [Bib]
			@ARTICLE{KanTay:J18,
			author = {Qiyu Kang and Wee Peng Tay},
			title = {Sequential Multi-Class Labeling in Crowdsourcing},
			journal = {{IEEE} Transactions on Knowledge and Data Engineering},
			volume = {31}, 
			number = {11},
			pages = {2190 -- 2199},
			month = {Nov.},
			year = {2019},
			}
			
T. S. Lau and W. P. Tay, "Quickest change detection in the presence of a nuisance change," IEEE Transactions on Signal Processing, vol. 67, no. 20, pp. 5281 – 5296, Oct. 2019. [pdf] [repo] [Bib]
			@ARTICLE{LauTay:J19,
			author = {Tze Siong Lau and Wee Peng Tay},
			title = {Quickest Change Detection in the Presence of a Nuisance Change},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {67}, 
			number = {20},
			pages	= {5281 -- 5296},
			month	= {Oct.},
			year = {2019},
			}
			
L. Ma, W. P. Tay, and G. Xiao, "Iterative expectation maximization for reliable social sensing with dependent individuals," Information Sciences, vol. 501, pp. 621 – 634, Oct. 2019. [pdf] [Bib]
			@ARTICLE{MaTayXia:J18,
			author = {Lijia Ma and Wee Peng Tay and Gaoxi Xiao},
			title = {Iterative Expectation Maximization for Reliable Social Sensing with Information Flows},
			journal = {Information Sciences},
			volume = {501}, 
			number = {},
			pages = {621 -- 634},
			month = {Oct.},
			year = {2019},
			}
			
J. Yang, J. Wang, and W. P. Tay, “Using social network information in community-based Bayesian truth discovery,” IEEE Transactions on Signal and Information Processing over Networks, vol. 5, no. 3, pp. 525 – 537, Sep. 2019. [pdf] [repo] [Bib]
			@ARTICLE{YanWanTay:J19,
			author = {Jielong Yang and Junshan Wang and Wee Peng Tay},
			title = {Using Social Network Information in Community-based {Bayesian} Truth Discovery},
			journal = {{IEEE} Transactions on Signal and Information Processing over Networks},
			volume = {5}, 
			number = {3},
			pages	= {525 -- 537},
			month	= {Sep.},
			year = {2019},
			}
			
R. Rabiee, X. Zhong, Y. Yan, and W. P. Tay, "LaIF: A lane-level self-positioning scheme for vehicles in GNSS-denied environments," IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 8, pp. 2944 – 2961, Aug. 2019. [pdf] [repo] [Bib]
			@ARTICLE{RabZhoYan:J19,
			author = {Ramtin Rabiee and Xionghu Zhong and Yongsheng Yan and Wee Peng Tay},
			title = {{LaIF}: {A} Lane-Level Self-Positioning Scheme for Vehicles in {GNSS}-Denied Environments},
			journal = {{IEEE} Transactions on Intelligent Transportation Systems},
			volume = {20}, 
			number = {8},
			pages = {2944 -- 2961},
			month = {Aug.},
			year = {2019},
			}
			
F. Ji, W. Tang, and W. P. Tay, "On the properties of Gromov matrices and their applications in network inference," IEEE Transactions on Signal Processing, vol. 67, no. 10, pp. 2624 – 2638, May 2019. [pdf] [repo] [Bib]
			@ARTICLE{JiTanTay:J19,
			author = {Feng Ji and Wenchang Tang and Wee Peng Tay},
			title = {On the Properties of {Gromov} Matrices and Their Applications in Network Inference},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {67}, 
			number = {10},
			pages	= {2624 -- 2638},
			month	= {May},
			year = {2019},
			}
			
G. Yang, W. P. Tay, Y. L. Guan, and Y.-C. Liang, "Optimal power allocation for diffusion-type sensor networks with wireless information and power transfer," IEEE Access, vol. 7, pp. 32408–32422, Mar. 2019. [pdf] [Bib]
			@ARTICLE{YanTayGua:J19, 
			author = {Gang Yang and Wee Peng Tay and Yong Liang Guan and Ying-Chang Liang}, 
			title = {Optimal Power Allocation for Diffusion-Type Sensor Networks With Wireless Information and Power Transfer}, 
			journal = {{IEEE} Access}, 
			volume = {7}, 
			number = {}, 
			pages = {32408 -- 32422},
			month = {Mar.},
			year = {2019}, 
			}
			
T. S. Lau, W. P. Tay, and V. V. Veeravalli, "A binning approach to quickest change detection with unknown post-change distribution," IEEE Transactions on Signal Processing, vol. 67, no. 3, pp. 609 – 621, Feb. 2019. [pdf] [repo] [Bib]
			@ARTICLE{LauTayVee:J18,
			author = {Tze Siong Lau and Wee Peng Tay and Venugopal V. Veeravalli},
			title = {A Binning Approach to Quickest Change Detection with Unknown Post-Change Distribution},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {67}, 
			number = {3},
			pages	= {609 -- 621},
			month	= {Feb.},
			year = {2019},
			}
			
W. Tang, F. Ji, and W. P. Tay, “Estimating infection sources in networks using partial timestamps,” IEEE Transactions on Information Forensics and Security, vol. 13, no. 2, pp. 3035 – 3049, Dec. 2018. [pdf] [repo] [Bib]
			@ARTICLE{TanJiTay:J18,
			author = {Wenchang Tang and Feng Ji and Wee Peng Tay},
			title = {Estimating Infection Sources in Networks Using Partial Timestamps},
			journal = {{IEEE} Transactions on Information Forensics and Security},
			volume = {13}, 
			number = {2},
			pages = {3035 -- 3049},
			month = {Dec.},
			year = {2018},
			}
			
J. Yang, X. Zhong, and W. P. Tay, "A dynamic Bayesian nonparametric model for blind calibration of sensor networks," IEEE Internet of Things Journal, vol. 5, no. 5, pp. 3942 – 3953, Oct. 2018. [pdf] [repo] [Bib]
			@ARTICLE{YanZhoTay:J18,
			author = {Jielong Yang and Xionghu Zhong and Wee Peng Tay},
			title = {A Dynamic {Bayesian} Nonparametric Model for Blind Calibration of Sensor Networks},
			journal = {{IEEE} Internet Things J.},
			volume = {5}, 
			number = {5},
			pages = {3942 -- 3953},
			month = {Oct.},
			year = {2018},
			}
			
M. Z. A. Bhotto and W. P. Tay, “Non-Bayesian social learning with observation reuse and soft switching,” ACM Transactions on Sensor Networks, vol. 14, no. 2, pp. 14:1–14:21, Jun. 2018. [pdf] [repo] [Bib]
			@ARTICLE{BhoTay:J18,
			author = {Md. Zulfiquar Ali Bhotto and Wee Peng Tay},
			title = {Non-{B}ayesian Social Learning with Observation Reuse and Soft Switching},
			journal = {{ACM} Transactions on Sensor Networks},
			volume = {14}, 
			number = {2},
			pages	= {14:1--14:21},
			month	= {Jun.},
			year = {2018},
			}
			
M. Sun, W. P. Tay, and X. He, "Toward information privacy for the Internet of Things: A non-parametric learning approach," IEEE Transactions on Signal Processing, vol. 66, no. 7, pp. 1734 - 1747, Apr. 2018. [pdf] [repo] [Bib]
			@ARTICLE{SunTayHe:J18,
			author = {Meng Sun and Wee Peng Tay and Xin He},
			title = {Toward Information Privacy for the {Internet of Things}: A Non-parametric Learning Approach},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {66}, 
			number = {7},
			pages	= {1734 -- 1747},
			month	= {Apr.},
			year = {2018},
			}
			
F. Quitin, P. De Doncker, F. Horlin, and W. P. Tay, "Virtual multiantenna array for estimating the direction of a transmitter: System, bounds and experimental results," IEEE Transactions on Vehicular Technology, vol. 67, no. 2, pp. 1510 - 1520, Feb. 2018. [pdf] [repo] [Bib]
			@ARTICLE{QuiDeDHor:J18,
			author = {Francois Quitin and Philippe {De Doncker} and Francois Horlin and Wee Peng Tay},
			title = {Virtual multiantenna array for estimating the direction of a transmitter: system, bounds and experimental results},
			journal = {{IEEE} Transactions on Vehicular Technology},
			volume = {67}, 
			number = {2},
			pages =	{1510 -- 1520},
			month =	{Feb.},
			year =	{2018},
			}
			
Y. Yu, G. Xiao, G. Li, W. P. Tay, and H. F. Teoh, "Opinion diversity and community formation in adaptive networks," Chaos: An Interdisciplinary Journal of Nonlinear Science, vol. 27, no. 20, p. 103115, Oct. 2017. [pdf] [repo] [Bib]
			@ARTICLE{YuXiaLi:J17,
			author = {Yi Yu and Gaoxi Xiao and Guoqi Li and Wee Peng Tay and Hao Fatt Teoh},
			title = {Opinion diversity and community formation in adaptive networks},
			journal = {Chaos: An Interdisciplinary Journal of Nonlinear Science},
			volume = {27}, 
			number = {20},
			pages = {103115},
			month =	{Oct.},
			year = {2017},
			}
			
W. Luo, W. P. Tay, and M. Leng, "On the universality of Jordan centers for estimating infection sources in tree networks," IEEE Transactions on Information Theory, vol. 63, no. 7, pp. 4634 – 4657, Jul. 2017. Submitted Nov. 2014, accepted Feb. 2017. [pdf] [repo] [Bib]
			@ARTICLE{LuoTayLen:J17,
			author = {Wuqiong Luo and Wee Peng Tay and Mei Leng},
			title = {On the Universality of {Jordan} Centers for Estimating Infection Sources in Tree Networks},
			journal = {{IEEE} Transactions on Information Theory},
			volume = {63}, 
			number = {7},
			pages = { 4634 – 4657},
			month =	{Jul.},
			year = {2017},
			}
			
F. Ji, W. P. Tay, and L. Varshney, "An algorithmic framework for estimating rumor sources with different start times," IEEE Transactions on Signal Processing, vol. 65, no. 10, pp. 2517 - 2530, May 2017. [pdf] [repo] [Bib]
			@ARTICLE{JiTayVar:J17,
			author = {Feng Ji and Wee Peng Tay and Lav Varshney},
			title = {An Algorithmic Framework for Estimating Rumor Sources with Different Start Times},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {65}, 
			number = {10},
			pages = {2517 -- 2530},
			month = {May},
			year = {2017},
			}
			
J. Tang, W. P. Tay, T. Q. S. Quek, and B. Liang, "System cost minimization in cloud RAN with limited fronthaul capacity," IEEE Transactions on Wireless Communications, vol. 16, no. 5, pp. 3371 -- 3384, May 2017. [pdf] [repo] [Bib]
			@ARTICLE{TanTayQue:J17,
			author = {Jianhua Tang and Wee Peng Tay and Tony Q. S. Quek and Ben Liang},
			title = {System Cost Minimization in Cloud {RAN} with Limited Fronthaul Capacity},
			journal = {{IEEE} Transactions on Wireless Communications},
			volume = {16},
			number = {5},
			pages = {3371 -- 3384},
			month = {May},
			year = {2017},
			year = {2017},						
			}
			
Y. Wang, W. P. Tay, and W. Hu, "A multitask diffusion strategy with optimized inter-cluster cooperation," IEEE Journal of Selected Topics in Signal Processing, vol. 11, no. 3, pp. 504 – 517, Mar. 2017. [pdf] [repo] [Bib]
			@ARTICLE{WanTayHu:J17,
			author =  {Yuan Wang and Wee Peng Tay and Wuhua Hu},
			title = {A Multitask Diffusion Strategy with Optimized Inter-Cluster Cooperation},
			journal = {{IEEE} J. Sel. Topics Signal Process.},
			volume = {11}, 
			number = {3},
			pages = {504 - 517},
			month = {Mar.},
			year = {2017},
			}
			
M. Leng, W. P. Tay, F. Quitin, C. Cheng, S. G. Razul, and C. M. S. See, “Anchor-aided joint localization and synchronization using SOOP: Theory and experiments,” IEEE Transactions on Wireless Communications, vol. 15, no. 11, pp. 7670 – 7685, Nov. 2016. [pdf] [repo] [Bib]
			@ARTICLE{LenTayQui:J16,
			author = {Mei Leng and Wee Peng Tay and Francois Quitin and Chi Cheng and Sirajudeen Gulam Razul and Chong Meng Samson See},
			title = {Anchor-aided joint Localization and Synchronization Using {SOOP}: Theory and Experiments},
			journal = {{IEEE} Transactions on Wireless Communications},
			volume = {15}, 
			number = {11},
			pages = {7670 –- 7685},
			month = {Nov.},
			year = {2016},
			}
			
Y. Zhang, W. P. Tay, K. H. Li, M. Esseghir, and D. Gaiti, “Learning temporal-spatial spectrum reuse,” IEEE Transactions on Communications, vol. 64, no. 7, pp. 3092-3103, Jul. 2016. [pdf] [repo] [Bib]
			@ARTICLE{ZhaTayLi:J16,
			author = {Yi Zhang and Wee Peng Tay and Kowk Hung Li and Moez Esseghir and Dominique Gaiti},
			title = {Learning Temporal-Spatial Spectrum Reuse},
			journal = {{IEEE} Transactions on Communications},
			volume	= {64}, 
			number = {7},
			pages =	{3092 -- 3103},
			month =	{Jul.},
			year =	{2016},
			}
			
W. Luo, W. P. Tay, and M. Leng, "Infection spreading and source identification: A hide and seek game," IEEE Transactions on Signal Processing, vol. 64, no. 16, pp. 4338-4243, Aug. 2016. [pdf] [repo] [Bib]
			@ARTICLE{LuoTayLen:J16,
			author = {Wuqiong Luo and Wee Peng Tay and Mei Leng},
			title = {Infection spreading and source identification: A hide and seek game},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {64}, 
			number = {16},
			pages	= {4228 -- 4243},
			month	= {Aug.},
			year =	{2016},
			}
			
J. Ho, W. P. Tay, T. Q. S. Quek, and E. K. P. Chong, "Robust decentralized detection and social learning in tandem networks," IEEE Transactions on Signal Processing, vol. 63, no. 19, pp. 5019–5032, Oct. 2015, IEEE Signal Processing Society Young Author Best Paper Award [pdf] [repo] [Bib]
			@ARTICLE{HoTayQue:J15,
			author = {Jack Ho and Wee Peng Tay and Tony Q. S. Quek and Edwin K. P. Chong},
			title = {Robust decentralized detection and social learning in tandem networks},
			journal	= {{IEEE} Transactions on Signal Processing},
			volume = {63}, 
			number = {19},
			pages = {5019 -- 5032},
			month = {Oct.},
			year = {2015},
			}
			
J. Tang, W. P. Tay, and T. Q. S. Quek, "Cross-layer resource allocation with elastic service scaling in cloud radio access network," IEEE Transactions on Wireless Communications, vol. 14, no. 9, pp. 5068 – 5081, Sep. 2015. [pdf] [repo] [Bib]
			@ARTICLE{TanTayQue:J15,
			author = {Jianhua Tang and Wee Peng Tay and Tony Q. S. Quek},
			title = {Cross-layer resource allocation with elastic service scaling in cloud radio access network},
			journal = {{IEEE} Transactions on Wireless Communications},
			volume = {14},
			number = {9},
			pages = {5068 -- 5081},
			month = {Sep.},
			year = {2015},			
			}
			
W. Hu and W. P. Tay, "Multi-hop diffusion LMS for energy-constrained distributed estimation," IEEE Transactions on Signal Processing, vol. 63, no. 15, pp. 4022 – 4036, Aug. 2015. [pdf] [repo] [Bib]
			@ARTICLE{XuQuiLen:J15,
			author = {Wuhua Hu and Wee Peng Tay},
			title = {Multi-hop diffusion {LMS} for energy-constrained distributed estimation},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {63},
			number = {15},
			pages = {4022 –- 4036},
			month = {Aug.},
			year = {2015},
			}
			
W. Xu, F. Quitin, M. Leng, W. P. Tay, and S. G. Razul, "Distributed localization of a RF target in NLOS environments," IEEE Journal on Selected Areas in Communications, vol. 33, no. 7, pp. 1 – 14, Jul. 2015. [pdf] [repo] [Bib]
			@ARTICLE{XuQuiLen:J15,
			author = {Wenjie Xu and Francois Quitin and Mei Leng and Wee Peng Tay and Sirajudeen G. Razul},
			title = {Distributed Localization of a {RF} target in {NLOS} Environments},
			journal = {{IEEE} J. Sel. Areas Commun.},
			volume = {33},
			number = {7},
			pages = {1 -- 14},
			month = {Jul.},
			year = {2015},
			note = {in press},
			}
			
W. P. Tay, "Whose opinion to follow in multihypothesis social learning? A large deviations perspective," IEEE Journal of Selected Topics in Signal Processing, vol. 9, no. 2, pp. 344–359, Mar. 2015. [pdf] [repo] [Bib]
			@ARTICLE{Tay:J15,
			author = {Wee Peng Tay},
			title = {Whose Opinion to follow in Multihypothesis Social Learning? {A} Large Deviations Perspective},
			journal = {{IEEE} J. Sel. Topics Signal Process.},
			year = {2015}, 
			month = {Mar.}, 
			volume = {9}, 
			number = {2}, 
			pages = {344 -- 359},			
			}
			
M. Leng, W. P. Tay, T. Q. S. Quek, and H. Shin, "Distributed local linear parameter estimation using Gaussian SPAWN," IEEE Transactions on Signal Processing, vol. 63, no. 1, pp. 244–257, Jan. 2015. [pdf] [repo] [Bib]
			@ARTICLE{LenTayQue:J15,
			author = {Mei Leng and Wee Peng Tay and T. Q. S. Quek and H. Shin},
			title = {Distributed local linear parameter estimation using {Gaussian SPAWN}},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {63},
			number = {1},
			pages = {244 -- 257},
			month = {Jan.},
			year = {2015},
			}
			
Y. Zhang, W. P. Tay, K. H. Li, and D. Gaiti, “Distributed boundary estimation for spectrum sensing in cognitive radio networks,” IEEE Journal on Selected Areas in Communications, vol. 32, no. 11, pp. 1961–1973, Nov. 2014. [pdf] [repo] [Bib]
			@ARTICLE{ZhaTayLi:J14,
			author = {Yi Zhang and Wee Peng Tay and Kwok Hung Li and Dominique Gaiti},
			title = {Distributed Boundary Estimation for Spectrum Sensing in Cognitive Radio Networks},
			journal = {{IEEE} J. Sel. Areas Commun.},
			volume = {32},
			number = {11},
			pages = {1961 -– 1973},
			month = {Nov.},
			year = {2014},	
			}
			
W. Luo, W. P. Tay, and M. Leng, “How to identify an infection source with limited observations,” IEEE Journal of Selected Topics in Signal Processing, vol. 8, no. 4, pp. 586–597, Aug. 2014. [pdf] [repo] [codes] [Bib]
			@ARTICLE{LuoTayLen:J14,
			author = {Wuqiong Luo and Wee Peng Tay and Mei Leng},
			title = {How to Identify an Infection Source with Limited Observations},
			journal = {{IEEE} J. Sel. Topics Signal Process.},
			volume = {8},
			number = {4},
			pages = {586 -- 597},
			month = {Aug.},
			year = {2014},
			}
			
J.Tang, W. P. Tay, and Y. Wen, “Dynamic request redirection and elastic service scaling in cloud-centric media networks,” IEEE Transactions on Multimedia, vol. 16, no. 5, pp. 1434–1445, Aug. 2014. [pdf] [repo] [Bib]
			@ARTICLE{TanTayWen:J14,
			author = {Jianhua Tang and Wee Peng Tay and Yonggang Wen},
			title = {Dynamic Request Redirection and Elastic Service Scaling in Cloud-Centric Media Networks},
			journal = {{IEEE} Transactions on Multimedia},
			volume = {16},
			number = {5},
			pages = {1434 -- 1445},
			month = {Aug.},
			year = {2014},				
			}
			
M. Leng, W. P. Tay, C. M. S. See, S. G. Razul, and M. Z. Win, “Modified CRLB for cooperative geolocation of two devices using signals of opportunity,” IEEE Transactions on Wireless Communications, vol. 13, no. 7, pp. 3636 – 3649, Jul. 2014. [pdf] [repo] [Bib]
			@ARTICLE{LenTaySee:J14,
			author = {Mei Leng and Wee Peng Tay and C. M. S. See and S. Gulam Razul and Moe Z. Win},
			title = {Modified CRLB for Cooperative Geolocation of Two Devices using Signals of Opportunity},
			journal = {{IEEE} Transactions on Wireless Communications},
			volume = {13},
			number = {7},
			pages = {3636 -- 3649},
			month = {Jul.},
			year = {2014},		
			}
			
W. Hu, and W. P. Tay, “An integer linear programming approach for a class of bilinear integer programs,” Operations Research Letters, vol. 42, no. 3, pp. 226–230, May 2014. [pdf] [repo] [Bib]
			@ARTICLE{HuTay:J14,
			author = {Wuhua Hu and Wee Peng Tay},
			title = {An integer linear programming approach for a class of bilinear integer programs},
			journal = {Oper. Res. Lett.},
			volume = {42},
			number = {3},
			pages = {226 –- 230},
			month = {May},
			year = {2014},
			}
			
W. Luo, W. P. Tay, and M. Leng, “Identifying infection sources and regions in large networks,” IEEE Transactions on Signal Processing, vol. 61, no. 11, pp. 2850–2865, Jun. 2013. [pdf] [repo] [codes] [Bib]
			@ARTICLE{LuoTayLen:J13,
			author = {Wuqiong Luo and Wee Peng Tay and Mei Leng},
			title = {Identifying infection sources and regions in large networks},
			journal = {{IEEE} Transactions on Signal Processing}, 
			volume = {61}, 
			number = {11},
			pages = {2850 -- 2865},
			month = {Jun.},
			year = {2013},
			}
			
D. W. Soh, W. P. Tay, and T. Q. S. Quek, “Randomized information dissemination in dynamic environments,” IEEE/ACM Transactions on Networking, vol. 21, no. 3, pp. 681–691, Jun. 2013. [pdf] [repo] [Bib]
			@ARTICLE{SohTayQue:J13,
			author = {De Wen Soh and Wee Peng Tay and T. Q. S. Quek},
			title = {Randomized Information Dissemination in Dynamic Environments},
			journal = {{IEEE/ACM} Transactions on Networking},
			volume = {21},
			number = {3},
			pages = {681 -- 691},
			month = {Jun.},
			year = {2013},
			}
			
T. Nguyen, Y. Jeong, T. Q. S. Quek, W. P. Tay, and H. Shin, "Interference alignment in a Poisson field of MIMO femtocells," IEEE Transactions on Wireless Communications, vol. 12, no. 6, pp. 2633–2645, Jun. 2013. [pdf] [repo] [Bib]
			@ARTICLE{NguJeoQue:J13,
			author = {T. M. Nguyen and Y. Jeong and T. Q. S. Quek and Wee Peng Tay and H. Shin},
			title = {Interference alignment in a {Poisson} field of {MIMO} femtocells},
			journal = {{IEEE} Transactions on Wireless Communications},
			volume = {12},
			number = {6},
			pages = {2633 -- 2645},
			month = {Jun.},
			year = {2013},	
			}
			
Y. Nijsure, W. P. Tay, E. Gunawan, F. Wen, Z. Yang, Y. L. Guan, and A. P. Chua, "An impulse radio ultra wideband system for contactless noninvasive respiratory monitoring," IEEE Transactions on Biomedical Engineering, vol. 60, no. 6, pp. 1509-1517, Jun. 2013. [pdf] [repo] [Bib]
			@ARTICLE{NijTayGun:J13,
			author = {Yogesh Nijsure and Wee Peng Tay and Erry Gunawan and Fuxi Wen and Yang Zhang and Yong Liang Guan and Ai Ping Chua},
			title = {An impulse radio ultra wideband system for contactless noninvasive respiratory monitoring},
			journal = {{IEEE} Transactions on Biomedical Engineering},
			year = {2013},
			volume = {60},
			number = {6},
			month = {Jun.},
			pages = {1509 -- 1517},
			}
			
W. P. Tay, “The value of feedback in decentralized detection,” IEEE Transactions on Information Theory, vol. 58 , no. 12, pp. 7226–7239, Dec. 2012. [pdf] [repo] [Bib]
			@ARTICLE{Tay:J12,
			author = {Wee Peng Tay},
			title = {The value of feedback in decentralized detection},
			journal = {{IEEE} Transactions on Information Theory},
			volume = {58},
			number = {12},
			pages = {7226 -- 7239},
			month = {Dec.},
			year = {2012},	
			}
			
G. Q. Hu, W. P. Tay, and Y. Wen, “Cloud robotics: architecture, challenges and applications,” IEEE Network, Special Issue on Machine and Robotic Networking, vol. 26, no. 3, pp. 21–28, May 2012. [pdf] [repo] [Bib]
			@ARTICLE{HuTayWen:J12,
			author = {Guoqiang Hu and Wee Peng Tay and Yonggang Wen},
			title = {Cloud robotics: architecture, challenges and applications},
			journal = {{IEEE} Network, Special Issue on Machine and Robotic Networking},
			volume = {26},
			number = {3},
			pages = {21 -- 28},
			month = {May},
			year = {2012},		
			}
			
W. P. Tay, J. N. Tsitsiklis, and M. Z. Win, “Bayesian detection in bounded height tree networks,” IEEE Transactions on Signal Processing, vol. 57, no.10, pp. 4042–4051, Oct. 2009. [pdf] [repo] [Bib]
			@ARTICLE{TayTsiWin:J09a,
			author = {Wee Peng Tay and John N. Tsitsiklis and Moe Z. Win},
			title = {Bayesian Detection in Bounded Height Tree Networks},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {57},
			number = {10},
			pages = {4042 -- 4051},
			month = {Oct.},
			year = {2009},
			}
			
W. P. Tay, J. N. Tsitsiklis, and M. Z. Win, “On the subexponential decay of detection error probabilities in long tandems,” IEEE Transactions on Information Theory, vol. 54, no. 10, pp. 4767–4771, Oct. 2008. [pdf] [repo] [Bib]
			@ARTICLE{TayTsiWin:J08c,
			author = {Wee Peng Tay and John N. Tsitsiklis and Moe Z. Win},
			title = {On the Subexponential Decay of Detection Error Probabilities in Long Tandems},
			journal = {{IEEE} Transactions on Information Theory},
			volume = {54},
			number = {10},
			pages = {4767 -- 4771},
			month = {Oct.},
			year = {2008},			
			}
			
W. P. Tay, J. N. Tsitsiklis, and M. Z. Win, “Data fusion trees for detection: Does architecture matter?” IEEE Transactions on Information Theory, vol. 54, no. 9, pp. 4155–4168, Sep. 2008. [pdf] [repo] [Bib]
			@ARTICLE{TayTsiWin:J08b,
			author = {Wee Peng Tay and John N. Tsitsiklis and Moe Z. Win},
			title = {Data Fusion Trees for Detection: Does Architecture Matter?},
			journal = {{IEEE} Transactions on Information Theory},
			volume = {54},
			number = {9},
			pages = {4155 -- 4168},
			month = {Sep.},
			year = {2008},			
			}
			
W. P. Tay, J. N. Tsitsiklis, and M. Z. Win, “On the impact of sensor failures and unreliable communications in dense sensor networks,” IEEE Transactions on Signal Processing, vol. 56, no. 6, pp. 2535–2546, Jun. 2008. [pdf] [repo] [Bib]
			@ARTICLE{TayTsiWin:J08a,
			author = {Wee Peng Tay and John N. Tsitsiklis and Moe Z. Win},
			title = {On the Impact of Node Failures and Unreliable Communications in Dense Sensor Networks},
			journal = {{IEEE} Transactions on Signal Processing},
			volume = {56},
			number = {6},
			pages = {2535 -- 2546},
			month = {Jun.},
			year = {2008},		
			}
			
W. P. Tay, J.N. Tsitsiklis, and M.Z. Win, “Asymptotic performance of a censoring sensor network,” IEEE Transactions on Information Theory, vol. 53, no. 11, pp. 4191–4209, Nov 2007. [pdf] [repo] [Bib]
			@ARTICLE{TayTsiWin:J07a,
			title = {Asymptotic Performance of a Censoring Sensor Network},
			author = {Tay, W. P. and Tsitsiklis, J. N. and Win, M. Z.},
			journal = {{IEEE} Transactions on Information Theory},
			volume = {53},
			number = {11},
			pages = {4191 -- 4209},
			month = {Nov.},
			year = {2007},	
			}
			

Conferences

2024

  • Q. Kang, K. Zhao, Q. Ding, F. Ji, X. Li, W. Liang, Y. Song, and W. P. Tay, “Unleashing the potential of fractional calculus in graph neural networks with FROND,” in Proc. International Conference on Learning Representations (ICLR), Vienna, Austria, May 2024, spotlight
  • V. Mohan, W. P. Tay, and A. Basu, “Hybrid event-frame neural spike detector for neuromorphic implantable BMI,” in Proc. IEEE International Symposium on Circuits & Systems, Singapore, May 2024
  • Q. Kang, K. Zhao, Y. Song, Y. Xie, Y. Zhao, S. Wang, R. She, and W. P. Tay, “Coupling graph neural networks with fractional order continuous dynamics: A robustness study,” in Proc. AAAI Conference on Artificial Intelligence, Vancouver, Canada, Feb. 2024
  • R. She, S. Wang, Q. Kang, K. Zhao, Y. Song, W. P. Tay, T. Geng, and X. Jian, “PosDiffNet: Positional neural diffusion for point cloud registration in a large field of view with perturbations,” in Proc. AAAI Conference on Artificial Intelligence, Vancouver, Canada, Feb. 2024
  • S. Wang, R. She, Q. Kang, X. Jian, K. Zhao, Y. Song, and W. P. Tay, “DistilVPR: Cross-Modal knowledge distillation for visual place recognition,” in Proc. AAAI Conference on Artificial Intelligence, Vancouver, Canada, Feb. 2024

2023

  • K. Zhao, Q. Kang, Y. Song, R. She, S. Wang, and W. P. Tay, “Adversarial robustness in graph neural networks: A Hamiltonian energy conservation approach,” Advances in Neural Information Processing Systems (NeurIPS), New Orleans, USA, Dec. 2023, spotlight
  • Q. Kang, Y. Zhao, K. Zhao, X. Li, Q. Ding, W. P. Tay, and S. Wang, “Advancing graph neural networks through joint time-space dynamics,” in NeurIPS 2023 Workshop: The Symbiosis of Deep Learning and Differential Equations III, New Orleans, USA, Dec. 2023
  • Q. Kang, K. Zhao, Y. Song, Y. Xie, Y. Zhao, S. Wang, R. She, and W. P. Tay, “Coupling graph neural networks with non-integer order dynamics: A robustness study,” in NeurIPS 2023 Workshop: New Frontiers in Graph Learning, New Orleans, USA, Dec. 2023
  • Q. Kang, K. Zhao, Q. Ding, F. Ji, X. Li, W. Liang, Y. Song, and W. P. Tay, “Unleashing the potential of fractional calculus in graph neural networks,” in NeurIPS 2023 Workshop: Machine Learning and the Physical Sciences, New Orleans, USA, Dec. 2023
  • R. She, Q. Kang, S. Wang, K. Zhao, Y. Song, Y. Xu, T. Geng, W. P. Tay, D. Navarro, and A. Hartmannsgruber, “Robust graph neural diffusion for image matching,” in Proc. IEEE International Conference on Image Processing, Kuala Lumpur, Malaysia, Oct. 2023, invited paper
  • K. Zhao, Q. Kang, Y. Song, R. She, S. Wang, and W. P. Tay, “Graph neural convection-diffusion with heterophily,” in Proc. International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, Aug. 2023
  • Q. Kang, K. Zhao, Y. Song, S. Wang, and W. P. Tay, “Node embedding from neural Hamiltonian orbits in graph neural networks,” in Proc. International Conference on Machine Learning (ICML), Haiwaii, USA, Jul. 2023
  • F. Ji, S. H. Lee, H. Meng, K. Zhao, J. Yang, and W. P. Tay, “Leveraging label non-uniformity for node classification in graph neural networks,” in Proc. International Conference on Machine Learning (ICML), Haiwaii, USA, Jul. 2023
  • S. Wang, Q. Kang, R. She, W. Wang, K. Zhao, Y. Song, and W. P. Tay, “HypLiLoc: Towards effective LiDAR pose regression with hyperbolic fusion,” in Proc. IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), Vancouver, Canada, Jun. 2023
  • X. Jian and W. P. Tay, “Kernel ridge regression for generalized graph signal processing,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Rhodes Island, Greece, Jun. 2023
  • T. Geng, F. Ji, and W. P. Tay, “Modulo EEG signal recovery using transformers,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Rhodes Island, Greece, Jun. 2023
  • V. Mohan, W. P. Tay, and A. Basu, “Architectural exploration of neuromorphic compression based neural sensing for next-gen wireless implantable-BMI,” in Proc. IEEE International Symposium on Circuits & Systems, California, USA, May 2023
  • S. Wang, Q. Kang, R. She, W. P. Tay, A. Hartmannsgruber, and D. N. Navarro, “RobustLoc: Robust camera pose regression in challenging driving environments,” in Proc. AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, Feb. 2023. [repo]

2022

  • X. Ran, W. P. Tay, and C. H. T. Lee, “A robust deep Q-network based attack detection approach in power systems,” in Proc. International Conference on Smart Power & Internet Energy Systems, Beijing, China, Oct. 2022, Excellent Paper Award
  • Y. Song, Q. Kang, S. Wang, K. Zhao, and W. P. Tay, “On the robustness of graph neural diffusion to topology perturbations,” Advances in Neural Information Processing Systems (NeurIPS), New Orleans, USA, Nov. 2022. [repo]
  • Q. Kang, R. She, S. Wang, W. P. Tay, N. D. Navarro, R. Khurana, and A. Hartmannsgruber, “Location learning for AVs: LiDAR and image landmarks fusion localization with graph neural networks,” in Proc. IEEE International Conference on Intelligent Transportation Systems, Macau, China, Oct. 2022
  • H. Cheng, J. T. Zhou, W. P. Tay, and B. Wen, “Attentive graph neural networks for few-shot learning,” in Proc. Int. Conf. on Multimedia Information Processing and Retrieval, virtual, Aug. 2022
  • S. H. Lee, F. Ji, and W. P. Tay, “SGAT: Simplicial graph attention network,” in Proc. International Joint Conference on Artificial Intelligence (IJCAI), Vienna, Austria, Jul. 2022. [pdf]
  • X. Jian and W. P. Tay, “Wide-sense stationarity and spectral estimation for generalized graph signal,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Singapore, May 2022
  • Y. Xu, C. X. Wang, Y. Song, and W. P. Tay, “Preserving trajectory privacy in driving data release,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Singapore, May 2022

2021

  • Q. Kang, Y. Song, Q. Ding, and W. P. Tay, “Stable neural ODE with Lyapunov-stable equilibrium points for defending against adversarial attacks,” in Advances in Neural Information Processing Systems (NeurIPS), virtual, Dec. 2021. [pdf]
  • F. Ji and W. P. Tay, “Signal processing with a distribution of graph operators,” in Proc. IEEE Workshop on Statistical Signal Processing, Rio de Janeiro, Brazil, Jul. 2021
  • S. H. Lee, F. Ji, and W. P. Tay, “Learning on heterogeneous graphs using high-order relations,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Toronto, Canada, Jun. 2021. [pdf]
  • C. Jin, I. Bajaj, K. Zhao, W. P. Tay, and K. V. Ling, “5G positioning using code-phase timing recovery,” in Proc. IEEE Wireless Commun. and Networking Conf., Nanjing, China, Mar. 2021
  • Y. Song, I. Bajaj, R. Rabiee, and W. P. Tay, “Anchor-free multi-level self-localization in ad-hoc networks,” in Proc. IEEE Wireless Commun. and Networking Conf., Nanjing, China, Mar. 2021
  • Y. Song, Q. Kang, and W. P. Tay, “Error-correcting output codes with ensemble diversity for robust learning in neural networks,” in Proc. AAAI Conference on Artificial Intelligence (AAAI), Feb. 2021. [pdf]

2020

  • C. X. Wang and W. P. Tay, “Data-driven privacy with domain regularization,” in Proc. IEEE Global Telecomm. Conf., Taipei, Taiwan, Dec. 2020
  • C. Wang, W. P. Tay, Y. Wei, and Y. Wang, “Resilient multitask distributed adaptation over networks with noisy exchanges,” in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop, Hangzhou, China, Jun. 2020
  • C. X. Wang, W. P. Tay, and Y. Song, “Maximum privacy under perfect utility in sensor networks,” in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop, Hangzhou, China, Jun. 2020
  • T. S. Lau and W. P. Tay, “Privacy-aware quickest change detection,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Barcelona, Spain, May 2020
  • F. Ji, J. Yang, Q. Zhang, and W. P. Tay, “GFCN : A new graph convolutional network based on parallel flows,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Barcelona, Spain, May 2020. [repo]

2019

  • F. Ji, Pratibha, and W. P. Tay, “On folded graph signals,” in Proc. IEEE Global Conf. on Signal and Information Processing, Ottawa, Canada, Nov. 2019
  • Q. Kang and W. P. Tay, “Orthogonal projection in linear bandits,” in Proc. IEEE Global Conf. on Signal and Information Processing, Ottawa, Canada, Nov. 2019
  • C. Wang, W. P. Tay, Y. Wang, and Y. Wei, “A privacy-preserving diffusion strategy over multitask networks,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Brighton, UK, May 2019
  • T. S. Lau and W. P. Tay, “Asymptotically optimal quickest change detection under a nuisance change,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Brighton, UK, May 2019
  • Y. Song, M. Guan, W. P. Tay, C. L. Law, and C. Wen, “UWB/LiDAR fusion for cooperative range-only SLAM,” in Int. Conf. on Robotics and Automation, Montreal, Canada, May 2019

2018

  • F. Ji and W. P. Tay, “Generalized graph signal processing,” in Proc. IEEE Global Conf. on Signal and Information Processing, Anaheim, USA, Nov. 2018
  • C. X. Wang, Y. Song, and W. P. Tay, “Preserving parameter privacy in sensor networks,” in Proc. IEEE Global Conf. on Signal and Information Processing, Anaheim, USA, Nov. 2018
  • W. Qiu, A. Khong, and W. P. Tay, “Hidden Markov model for masquerade detection based on sequence alignment,” in Proc. IEEE Cyber Science and Technology Congress, Athens, Greece, Aug. 2018
  • Y. Wang, W. Hu, and W. P. Tay, “An event-based diffusion LMS strategy,” in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop, Sheffield, UK, Jul. 2018
  • Pratibha, J. Wang, S. Aggarwal, F. Ji, and W. P. Tay, “Learning correlation graph and anomalous employee behavior for insider threat detection,” in Proc. Int. Conf. on Information Fusion, Cambridge, UK, Jul. 2018 [paper]
  • F. Ji, W. Tang, and W. P. Tay, “Properties and applications of Gromov matrices in network inference,” in Proc. IEEE Workshop on Statistical Signal Processing, Freiburg, Germany, Jun. 2018
  • T. S. Lau and W. P. Tay, “Quickest change detection under a nuisance change,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Calgary, Canada, Apr. 2018
  • Y. Song, C. X. Wang, and W. P. Tay, “Privacy-aware Kalman filtering,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Calgary, Canada, Apr. 2018

2017

  • W. Tang, F. Ji, and W. P. Tay, “Multiple sources identification in networks with partial timestamps,” in Proc. IEEE Global Conf. on Signal and Information Processing, Montreal, Canada, Nov. 2017
  • T. S. Lau and W. P. Tay, “Optimal sampling policy for quickest change detection,” in Proc. IEEE Global Conf. on Signal and Information Processing, Montreal, Canada, Nov. 2017
  • Y. Song, W. P. Tay, and C. L. Law, “Robust decentralized localization in impulsive noise,” in Int. Conf. on Indoor Positioning and Indoor Navigation, Sapporo, Japan, Sep. 2017
  • Y. Song, C. X. Wang, W. P. Tay, and C. L. Law, “Grid-based belief propagation,” in Int. Conf. on Indoor Positioning and Indoor Navigation, Sapporo, Japan, Sep. 2017
  • Q. Kang and W. P. Tay, “Sequential multi-class labeling in crowdsourcing: A Ulam-Renyi game approach,” in IEEE/WIC/ACM Int. Conf. on Web Intelligence, Leipzig, Germany, Aug. 2017
  • M. Sun and W. P. Tay, “Inference and data privacy in IoT networks,” in Proc. IEEE Workshop on Signal Processing Advances in Wireless Commun., Hokkaido, Japan, Jul. 2017, invited paper
  • F. Ji, W. Tang, W. P. Tay, and E. K. P. Chong, “Inferring network topology from information cascades,” in Proc. IEEE Int. Symp. on Inform. Theory, Aachen, Germany, Jun. 2017
  • M. Z. A. Bhotto and W. P. Tay, “Non-Bayesian social learning with observation reuse and soft switching,” in Proc. IEEE Int. Conf. on Commun., Paris, France, May 2017
  • X. He and W. P. Tay, “Multilayer sensor network for information privacy,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, New Orleans, USA, Mar. 2017
  • T. S. Lau, W. P. Tay, and V. V. Veeravalli, “Quickest change detection with unknown post-change distribution,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, New Orleans, USA, Mar. 2017
  • W. Tang and W. P. Tay, “A particle filter for sequential infection source estimation,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, New Orleans, USA, Mar. 2017
  • J. Yang, W. P. Tay, and X. Zhong, “A dynamic Bayesian nonparametric model for blind calibration of sensor networks,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, New Orleans, USA, Mar. 2017

2016

  • F. Ji, W. P. Tay, and L. R. Varshney, “Estimating the number of infection sources in a tree,” in Proc. IEEE Global Conf. on Signal and Information Processing, Washington, DC, USA, Dec. 2016
  • P. Oguz-Ekim, K. Ali, Z. Madadi, F. Quitin, and W. P. Tay, “Proof of concept study using DSRC, IMU and map fusion for vehicle localization in GNSS-denied environments,” in Proc. IEEE Intelligent Transportation Systems Conf., Rio de Janeiro, Brazil, Nov. 2016
  • X. Zhong, Y. Yan, and W. P. Tay, “Posterior Cramer-Rao lower bound for mobile emitter tracking based on a TDOA-FDOA multi-measurement model,” in Proc. of IEEE Int. Conf. on Ubiquitous Wireless Broadband, Nanjing, China, Oct. 2016, invited paper
  • Z. Madadi, F. Quitin, and W. P. Tay, “Receiver tracking using signals of opportunity from asynchronous RF beacons in GNSS-denied environments,” in Proc. IEEE Veh. Technol. Conf., Montreal, Canada, Sep. 2016
  • F. Quitin, X. Zhong, V. Govindaraj, and W. P. Tay, “Virtual multi-antenna array for estimating the angle-of-arrival of a RF transmitter,” in Proc. IEEE Veh. Technol. Conf., Montreal, Canada, Sep. 2016
  • X. He, W. P. Tay, and M. Sun, “Privacy-aware decentralized detection using linear precoding,” in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop, Rio de Janeiro, Brazil, Jul. 2016
  • X. Zhong, W. P. Tay, M. Leng, S. G. Razul, and C. M. S. See, “TDOA-FDOA multiple target detection and tracking in the presence of measurement errors and biases,” in Proc. IEEE Workshop on Signal Proc. Advances in Wireless Commun., Edinburgh, UK, Jul. 2016, invited paper
  • J. Tang, T. Q. S. Quek, and W. P. Tay, “Joint resource segmentation and transmission rate adaptation in cloud RAN with caching as a service,” in Proc. IEEE Workshop on Signal Proc. Advances in Wireless Commun., Edinburgh, UK, Jul. 2016, invited paper
  • F. Ji and W. P. Tay, “Identifying rumor sources with different start times,” in Proc. IEEE Workshop on Statistical Signal Processing, Palma de Mallorca, Spain, Jun. 2016
  • Y. Wang, W. P. Tay, and W. Wu, “Multitask diffusion LMS with optimized inter-cluster cooperation,” in Proc. IEEE Workshop on Statistical Signal Processing, Palma de Mallorca, Spain, Jun. 2016
  • X. Liu, G. Xiao, W. P. Tay, G. Ma, and H. Xi, “Synchronization of pinning networks with Markovian switching topologies and event-triggered communication,” in World Congress on Intelligent Control and Automation, Guilin, China, Jun. 2016
  • M. Sun and W. P. Tay, “Privacy-preserving nonparametric decentralized detection,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Shanghai, China, Mar. 2016
  • Y. Zhang, W. P. Tay, K. H. Li, M. Esseghir, and D. Gaiti,“Opportunisticspectrumaccesswithtemporal- spatial reuse in cognitive radio networks,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Shanghai, China, Mar. 2016

2015

  • G. Yang, W. P. Tay, and Y. L. Guan, “Optimal wireless power transfer and harvested power allocation for diffusion LMS in wireless sensor networks,” in Proc. IEEE Global Conf. on Signal and Information Processing, Orlando, USA, Dec. 2015
  • J. Tang, W. P. Tay, T. Q. S. Quek, and B. Liang, “Towards system cost minimization in cloud radio access network,” in Proc. Asilomar Conf. on Signals, Systems and Computers, Asilomar, USA, Nov. 2015
  • M. Leng, F. Quitin, C. Cheng, W. P. Tay, S. G. Razul, and C. M. S. See, “Joint navigation and synchronization using SOOP in GPS-denied environments: Algorithm and empirical study,” in Proc. Sensor Signal Processing for Defence Conf., Edinburgh, UK, Sep. 2015
  • W. Luo, W. P. Tay, and M. Leng, “Rumor spreading maximization and source identification in a social network,” in Proc. IEEE/ACM Int. Conf. on Advances in Social Networks Analysis and Mining, Paris, France, Aug. 2015
  • W. Luo, W. P. Tay, M. Leng, and M. K. Guevara, “On the universality of the Jordan center for estimating the rumor source in a social network,” in Proc. IEEE Int. Conf. on Digital Signal Processing, Singapore, Jul. 2015
  • G. Garcia, W. Hu, W. P. Tay, and H. Wymeersch, “Joint scheduling and localization in UWB networks,” in Proc. IEEE Int. Conf. on Commun., London, UK, Jun. 2015, invited paper
  • Z. Madadi, F. Quitin, and W. P. Tay, “RF transmitter geolocation based on signal periodicity: concept and implementation,” in Proc. IEEE Int. Conf. on Commun., London, UK, Jun. 2015
  • C. Cheng, W. Hu, and W. P. Tay, “Localization of a moving non-cooperative RF target in NLOS environment using RSS and AOA measurements,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Brisbane, Australia, Apr. 2015
  • W. Hu, W. P. Tay, A. Harilal, and G. Xiao, “Network infection source identification under the SIRI model,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Brisbane, Australia, Apr. 2015
  • Z. Madadi, F. Quitin, and W. P. Tay, “Periodic RF transmitter geolocation using a mobile receiver,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Brisbane, Australia, Apr. 2015

2014

  • Y. Zhang, W. P. Tay, K. H. Li, M. Esseghir, and D. Gaiti, “Distributed opportunistic spectrum access with spatial reuse in cognitive radio networks,” in Proc. IEEE Global Conf. on Signal and Information Processing, Atlanta, US, Dec. 2014
  • J. Tang, W. P. Tay, and T. Q. Quek, “Cross-layer resource allocation in cloud radio access network,” in Proc. IEEE Global Conf. on Signal and Information Processing, Atlanta, US, Dec. 2014, invited paper
  • W. Hu and W. P. Tay, “Generalized diffusion adaptation for energy-constrained distributed estimation,” in Proc. Int. Conf. on Information Fusion, Salamanca, Spain, Jul. 2014
  • W. Xu, F. Quitin, M. Leng, W. P. Tay, and S. G. Razul, “Distributed localization of a non-cooperative RF target in NLOS environments,” in Proc. Int. Conf. on Information Fusion, Salamanca, Spain, Jul. 2014
  • J. Ho, W. P. Tay, and T. Q. S. Quek, “Robust detection and social learning in tandem networks,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Florence, Italy, May 2014

2013

  • W. Luo and W. P. Tay, “Estimating infection sources in a network with incomplete observations,” in Proc. IEEE Global Conf. on Signal and Information Processing, Austin, USA, Dec. 2013
  • W. Xu, M. Leng, W. P. Tay, and S. G. Razul, “Distributed localization of an unknown target in NLOS environments,” in Proc. Int. Conf. Information, Communications and Signal Processing, Tainan, Taiwan, Dec. 2013
  • W. Luo and W.P. Tay, "Finding an infection source under the SIS model," in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Vancouver, Canada, May 2013. [corrected version], fixed some missing conditions in original ICASSP paper.
  • Y. Zhang, W.P. Tay, and K.H. Li, “Distributed boundary estimation for spectrum sensing in cognitive radio networks,” in Proc. IEEE Wireless Communications and Networking Conference, Shanghai, China, Apr. 2013.
  • M. Leng, W.P. Tay, C.M.S. See, and S. Gulam Razul, “Fundamental limits for location and velocity estimation using asynchronous beacons,” in Proc. IEEE Wireless Communications and Networking Conference, Shanghai, China, Apr. 2013.

2012

  • M. Leng, W.P. Tay, C.M.S. See, and S. Gulam Razul, “GPS-free localization using asynchronous beacons,” in Proc. IEEE Int. Conf. on Mobile Ad-hoc and Sensor Networks, Chengdu, China, Dec. 2012, invited paper.
  • W. Luo and W.P. Tay, “Identifying multiple infection sources in a network,” in Proc. Asilomar Conference on Signals, Systems, and Computers, California, USA, Nov. 2012, invited paper, Best Student Paper Award.
  • Y. Nijsure, W.P. Tay, E. Gunawan, and J.C.Y. Lai, “A Bayesian nonparametric approach to tumor detection using UWB imaging,” in Proc. IEEE International Conference on Ultra-Wideband, New York, USA, Jul. 2012.
  • F. Wen and W.P. Tay, “Localization for mixed near-field and far-field sources using data supported optimization,” in Proc. Int. Conf. on Information Fusion, Singapore, Jul. 2012.
  • F. Wen and W.P. Tay, “Tensor decomposition based R-dimensional matrix pencil method,” in Proc. Int. Conf. on Information Fusion, Singapore, Jul. 2012.
  • W. Luo and W.P. Tay, “Identifying infection sources in large tree networks,” in Proc. IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, Seoul, Korea, Jun. 2012.
  • Chi Cheng, W.P. Tay and G.-B. Huang “Intrusion detection using random features: an extreme learning machine approach,” in Proc. IEEE International Joint Conference on Neural Networks, Brisbane, Australia, Jun. 2012.
  • M. Leng, W.P. Tay, and T.Q.S. Quek, “Cooperative and distributed localization for wireless sensor networks in multipath environments,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Kyoto, Japan, Mar. 2012.

2011

  • M. Leng, W.P. Tay, and T.Q.S. Quek, “Cooperative and distributed localization for wireless sensor networks in multipath environments,” in Proc. Int. Conf. Information, Communications and Signal Processing, Singapore, Dec. 2011.
  • D.W. Soh, T.Q.S. Quek, and W.P. Tay, “Randomized rumor spreading in non-static networks,” in Proc. IEEE ICTC, Seoul, Korea, Sep. 2011, invited paper.
  • D.W. Soh, T.Q.S. Quek, and W.P. Tay, “Randomized broadcast in dynamic network environments,” in Proc. IEEE Int. Workshop on Signal Processing Advances for Wireless Communications, Jun. 2011.
  • W.P. Tay, and J.N. Tsitsiklis, “Error exponents for decentralized detection in feedback architectures,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Prague, Czech Republic, May 2011.
  • W.P. Tay, and J.N. Tsitsiklis, “The value of feedback for decentralized detection in large sensor networks,” in Proc. Int. Sym. on Wireless and Pervasive Computing, Hong Kong, Feb. 2011.

Before 2010

  • W.P. Tay, J.N. Tsitsiklis, and M.Z. Win, “On the sub-exponential decay of detection probabilities in long tandems,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Honolulu, HI, Apr. 2007, pp. 837–840.
  • W.P. Tay, J.N. Tsitsiklis, and M.Z. Win, “Bayesian detection in bounded height tree networks,” in Proc. Data Compression Conf., Snowbird, UT, Mar. 2007, pp. 243–252.
  • W.P. Tay, J.N. Tsitsiklis, and M.Z. Win, “Detection in dense wireless sensor networks,” in Proc. IEEE Wireless Commun. and Networking Conf., Hong Kong, Mar. 2007, pp. 3483–3488.
  • W.P. Tay, J.N. Tsitsiklis, and M.Z. Win, “Data fusion trees for detection: does architecture matter?” in Proc. Allerton Conf. on Communication, Control, and Computing, Monticello, IL, Sept. 2006.
  • W.P. Tay, J.N. Tsitsiklis, and M.Z. Win, “Asymptotically optimal distributed censoring,” in Proc. IEEE Int. Symp. on Inform. Theory, Seattle, WA, July 2006, pp. 625–629.
  • W.P. Tay, J.N. Tsitsiklis, and M.Z. Win, “Censoring sensors: asymptotics and the value of cooperation,” in Proc. Conf. on Inform. Sci. and Sys., Princeton, NJ, Mar. 2006, pp. 62–67.
2024 2023 2022 2021 2020
2019 2018 2017 2016 2015
2014 2013 2012 2011 Before 2010

Technical Reports

  1. F. Quitin, Z. Madadi, and W.P. Tay, "Tracking of a periodic RF transmitter with a mobile receiver: from theory to implementation," Jul. 2015. [pdf]
  2. F. Quitin, C. Cheng, M. Leng, and W.P. Tay, "A wireless TDOA estimation architecture using software-defined radios," Jul. 2014. [pdf]

Thesis

  1. W.P. Tay, "Decentralized Detection in Resource-limited Sensor Network Architectures," Ph.D. dissertation, Massachusetts Institute of Technology, Feb 2008. [pdf]