Signal and Information Processing over Networks

Selected Publications

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] [Bib] [Keynote GlobalSIP 2019]
				@ARTICLE{JiTay:J19,
				author = {Feng Ji and Wee Peng Tay},
				title = {A {Hilbert} Space Theory of Generalized Graph Signal Processing},
				journal = {{IEEE} Trans. Signal Process.},
				volume = {67}, 
				number = {24},
				pages	= {6188 -- 6203},
				month	= {Dec.},
				year = {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. [arXiv]
F. Ji, W. P. Tay, and G. Kahn "Subgraph signal processing." [arXiv]
F. Ji, G. Kahn, and W. P. Tay "Signal processing on simplicial complexes." [arXiv]
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] [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} Trans. Signal Process.},
				  volume = {67}, 
				  number = {10},
				  pages	= {2624 -- 2638},
				  month	= {May},
				  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] [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} Trans. Inf. Forensics Security},
					volume = {13}, 
					number = {2},
					pages = {3035 -- 3049},
					month = {Dec.},
					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] [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} Trans. Inf. 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] [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} Trans. Signal Process.},
					volume = {65}, 
					number = {10},
					pages = {2517 -- 2530},
					month = {May},
					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] [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} Trans. Signal Process.},
					volume = {64}, 
					number = {16},
					pages	= {4228 -- 4243},
					month	= {Aug.},
					year =	{2016},
                }
                
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] [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] [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} Trans. Signal Process.}, 
                    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] [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} Trans. Netw.},
                    volume = {21},
                    number = {3},
                    pages = {681 -- 691},
                    month = {Jun.},
                    year = {2013},
                }
                

Inference and Statistical Privacy for Networks

With the ubiquitous adoption of Internet of Things (IoT) devices like on-body sensors, smart home appliances, and smart phones, massive amounts of data about users’ habits, routines and preferences are being collected by service providers. While such data are utilized by service providers to improve the quality of life, e.g., by making building heating and ventilation systems more intelligent and adaptive, the same data can also be exploited to learn users’ private behaviors, habits and lifestyle choices. For consumers to widely adopt IoT systems, privacy protection mechanisms are a necessary feature of future IoT products. An example is the deployment of home-monitoring video cameras in old folks' homes for fall detection. If the cameras transmit the raw video feed to a fusion center, the fusion center can not only use these video feeds for fall detection, but also has the potential to intrude on the privacy of the home inhabitants. The camera sensors therefore need to perform intelligent observation summary with a suitable privacy mapping in order to limit the amount and quality of information they send to the fusion center.

Selected Publications

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, in press. [pdf] [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} Trans. Inf. Forensics Security},
						volume = {}, 
						number = {},
						pages = {},
						month = {},
						year = {2021},
						note = {in press},
					}
					
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, in press. [pdf] [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} Trans. Inf. Forensics Security},
						volume = {15}, 
						number = {},
						pages = {895 -- 910},
						month = {},
						year = {2020},
						note = {in press},
					}
					
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, in press. [pdf] [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} Trans. Inf. Forensics Security},
						volume = {15}, 
						number = {},
						pages = {852 -- 866},
						month = {},
						year = {2020},
						note = {in press},
					}
					
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, in press. [pdf] [Bib]
					@ARTICLE{SunTay:J20a,
						author = {Meng Sun and Wee Peng Tay},
						title = {Decentralized Detection with Robust Information Privacy Protection},
						journal = {{IEEE} Trans. Inf. Forensics Security},
						volume = {15}, 
						number = {},
						pages = {85-99},
						month = {},
						year = {2020},
						note = {in press},
					}
					
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},
					}
					
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] [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} Trans. Signal Process.},
					  volume = {66}, 
					  number = {7},
					  pages	= {1734 -- 1747},
					  month	= {Apr.},
					  year = {2018},
					}
					

Machine Learning with a Network Flavor

Selected Publications

Q. Kang, Y. Song, Q. Ding, and W. P. Tay, “Stable neural ODE with Lyapunov-stable equilibrium points for defending against adversarial attacks,” in Proc. Conference on Neural Information Processing Systems (NeurIPS), virtual, Dec. 2021. [arXiv]
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. [arXiv]
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, Feb. 2021. [arXiv]
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. [arXiv]
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]

Distributed Inference and Learning

Selected Publications

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}, 
				}
                
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] [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},
				}
                
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] [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} Trans. Signal Process.},
	                volume = {63}, 
	                number = {19},
	                pages = {5019 -- 5032},
	                month = {Oct.},
	                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] [Bib]
                @ARTICLE{XuQuiLen:J15,
                    author = {Wuhua Hu and Wee Peng Tay},
                    title = {Multi-hop diffusion {LMS} for energy-constrained distributed estimation},
                    journal = {{IEEE} Trans. Signal Process.},
                    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] [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] [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] [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} Trans. Signal Process.},
                    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] [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. P. Tay, “The value of feedback in decentralized detection,” IEEE Transactions on Information Theory, vol. 58 , no. 12, pp. 7226–7239, Dec. 2012. [pdf] [Bib]
                @ARTICLE{Tay:J12,
                    author = {Wee Peng Tay},
                    title = {The value of feedback in decentralized detection},
                    journal = {{IEEE} Trans. Inf. Theory},
                    volume = {58},
                    number = {12},
                    pages = {7226 -- 7239},
                    month = {Dec.},
                    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] [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} Trans. Signal Process.},
                    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] [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} Trans. Inf. 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] [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} Trans. Inf. 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] [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} Trans. Signal Process.},
                    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] [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} Trans. Inf. Theory},
                  volume = {53},
                  number = {11},
                  pages = {4191 -- 4209},
                  month = {Nov.},
                  year = {2007},	
                }
                

Detection, Estimation and Optimization

Selected Publications

Q. Kang and W. P. Tay, "Task recommendation in crowdsourcing based on learning preferences and reliabilities," IEEE Transactions on Services Computing, in press. [pdf] [Bib]
				@ARTICLE{KanTay:J21,
					author = {Qiyu Kang and Wee Peng Tay},
					title = {Task Recommendation in Crowdsourcing Based on Learning Preferences and Reliabilities},
					journal = {IEEE Trans. Services Computing},
					volume = {}, 
					number = {},
					pages = {},
					month = {},
					year = {2021},
					note = {in press},
				}
                
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] [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} Trans. Signal Process.},
				  volume = {67}, 
				  number = {20},
				  pages	= {5281 -- 5296},
				  month	= {Oct.},
				  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] [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} Trans. Signal Process.},
				  volume = {67}, 
				  number = {3},
				  pages	= {609 -- 621},
				  month	= {Feb.},
				  year = {2019},
				 }
                
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} Trans. Cybern.},
				  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] [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},
				}
                
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] [Bib]
				@ARTICLE{KanTay:J18,
					author = {Qiyu Kang and Wee Peng Tay},
					title = {Sequential Multi-Class Labeling in Crowdsourcing},
					journal = {{IEEE} Trans. Knowl. Data Eng.},
					volume = {31}, 
					number = {11},
					pages = {2190 -- 2199},
					month = {Nov.},
					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] [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} Trans. Signal Inf. Process. Netw.},
				  volume = {5}, 
				  number = {3},
				  pages	= {525 -- 537},
				  month	= {Sep.},
				  year = {2019},
				}
                
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] [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] [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} Trans. Sensor Networks},
				  volume = {14}, 
				  number = {2},
				  pages	= {14:1--14:21},
				  month	= {Jun.},
				  year = {2018},
				}
                
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] [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} Trans. Wireless Commun.},
                    volume = {14},
                    number = {9},
                    pages = {5068 -- 5081},
                    month = {Sep.},
                    year = {2015},			
                }
                
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] [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} Trans. Multimedia},
                    volume = {16},
                    number = {5},
                    pages = {1434 -- 1445},
                    month = {Aug.},
                    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] [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},
                }
                

Localization and Tracking

Efficiently localizing a network of devices has increasing importance for practical deployment of sensor networks in urban environments. We consider the problem of localization and tracking of all sensors and targets in a wireless sensor network using distributed and cooperative algorithms that allow the network of sensors to perform self-localization and target tracking robustly. We investigate various issues including the lack of synchronization amongst sensors and beacons, availability of only NLOS signals, and multipath effects.

Selected Publications

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},
				}
                
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] [Bib]
				@ARTICLE{RabZhoYan:J18,
					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} Trans. Intell. Transp. Syst.},
					volume = {20}, 
					number = {8},
					pages = {2944 -- 2961},
					month = {Aug.},
					year = {2019},
				}
                
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] [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} Trans. Veh. Technol.},
					volume = {67}, 
					number = {2},
					pages =	{1510 -- 1520},
					month =	{Feb.},
					year =	{2018},
				}
                
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] [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} Trans. Wireless Commun.},
					volume = {15}, 
					number = {11},
					pages = {7670 –- 7685},
					month = {Nov.},
					year = {2016},
				}
                
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] [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},
                }
                
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] [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} Trans. Wireless Commun.},
                    volume = {13},
                    number = {7},
                    pages = {3636 -- 3649},
                    month = {Jul.},
                    year = {2014},		
                }