152 citations · 181 across the 23 of their papers we have counts for
23 papers
Joint Cooperative and Non-Cooperative Localization in WSNs with Distributed Scaled Proximal ADMM Algorithms
Qiaojia Zhu, Xiaojing Shen, Haiqi Liu +1
The integration of cooperative and non-cooperative localization is fundamentally important, as these two modes frequently coexist in wireless sensor networks, especially when senso…
Network Topology Inference from Smooth Signals Under Partial Observability
Chuansen Peng, Hanning Tang, Zhiguo Wang +1
Inferring network topology from smooth signals is a significant problem in data science and engineering. A common challenge in real-world scenarios is the availability of only part…
Destination-Constrained Linear Dynamical System Modeling in Set-Valued Frameworks
Xiaowei Yang, Haiqi Liu, Fanqin Meng +1
Directional motion towards a specified destination is a common occurrence in physical processes and human societal activities. Utilizing this prior information can significantly im…
An Accelerated Stochastic ADMM for Nonconvex and Nonsmooth Finite-Sum Optimization
Yuxuan Zeng, Zhiguo Wang, Jianchao Bai +1
The nonconvex and nonsmooth finite-sum optimization problem with linear constraint has attracted much attention in the fields of artificial intelligence, computer, and mathematics,…
On Communication-Efficient Multisensor Track Association via Measurement Transformation (Extended Version)
Haiqi Liu, Jiajie Sun, Xuqi Zhang +3
Multisensor track-to-track fusion for target tracking involves two primary operations: track association and estimation fusion. For estimation fusion, lossless measurement transfor…
Nonlinear Set Membership Filter with State Estimation Constraints via Consensus-ADMM
Xiaowei Li, Xuqi Zhang, Zhiguo Wang +1
This paper considers the state estimation problem for nonlinear dynamic systems with unknown but bounded noises. Set membership filter (SMF) is a popular algorithm to solve this pr…
Seamless Tracking of Group Targets and Ungrouped Targets Using Belief Propagation
Xuqi Zhang, Fanqin Meng, Haiqi Liu +2
This paper considers the problem of tracking a large-scale number of group targets. Usually, multi-target in most tracking scenarios are assumed to have independent motion and are…
Distributed Scaled Proximal ADMM Algorithms for Cooperative Localization in WSNs
Mei Zhang, Zhiguo Wang, Feng Yin +1
Distributed cooperative localization in wireless networks is a challenging problem since it typically requires solving a large-scale nonconvex and nonsmooth optimization problem. I…
An Unbiased Symmetric Matrix Estimator for Topology Inference under Partial Observability
Yupeng Chen, Zhiguo Wang, Xiaojing Shen
Network topology inference is a fundamental problem in many applications of network science, such as locating the source of fake news, brain connectivity networks detection, etc. M…
Towards Understanding the Impact of Model Size on Differential Private Classification
Yinchen Shen, Zhiguo Wang, Ruoyu Sun +1
Differential privacy (DP) is an essential technique for privacy-preserving. It was found that a large model trained for privacy preserving performs worse than a smaller model (e.g.…
Randomized Multiple Model Multiple Hypothesis Tracking
Haiqi Liu, Xiaojing Shen, Zhiguo Wang +4
This paper considers the data association problem for multi-target tracking. Multiple hypothesis tracking is a popular algorithm for solving this problem but it is NP-hard and is i…
The Effect of Population Size for Pathogen Transmission on Prediction of COVID-19 Pandemic Spread
Xuqi Zhang, Haiqi Liu, Hanning Tang +3
Extreme public health interventions play a critical role in mitigating the local and global prevalence and pandemic potential of COVID-19. Here, we use population size for pathogen…
Multiple-Source Ellipsoidal Localization Using Acoustic Energy Measurements
Fanqin Meng, Xiaojing Shen, Zhiguo Wang +4
In this paper, the multiple-source ellipsoidal localization problem based on acoustic energy measurements is investigated via set-membership estimation theory. When the probability…
Dual Set Membership Filter with Minimizing Nonlinear Transformation of Ellipsoid
Zhiguo Wang, Xiaojing Shen, Haiqi Liu +2
In this paper, we propose a dual set membership filter for nonlinear dynamic systems with unknown but bounded noises, and it has three distinctive properties. Firstly, the nonlinea…
On Equivalence and Computational Efficiency of the Major Relaxation Methods for Minimum Ellipsoid Containing the Intersection of Ellipsoids
Zhiguo Wang, Xiaojing Shen, Yunmin Zhu
This paper investigates the problem on the minimum ellipsoid containing the intersection of multiple ellipsoids, which has been extensively applied to information science, target t…
Set-Membership Information Fusion for Multisensor Nonlinear Dynamic Systems
Zhiguo Wang, Xiaojing Shen, Yunmin Zhu
The set-membership information fusion problem is investigated for general multisensor nonlinear dynamic systems. Compared with linear dynamic systems and point estimation fusion in…
Monte Carlo Set-Membership Filtering for Nonlinear Dynamic Systems
Zhiguo Wang, Xiaojing Shen, Yunmin Zhu +1
When underlying probability density functions of nonlinear dynamic systems are unknown, the filtering problem is known to be a challenging problem. This paper attempts to make prog…
Distributed Detection Fusion via Monte Carlo Importance Sampling
Hang Rao, Xiaojing Shen, Yunmin Zhu +1
Distributed detection fusion with high-dimension conditionally dependent observations is known to be a challenging problem. When a fusion rule is fixed, this paper attempts to make…
Posterior Cramer-Rao Bounds for Discrete-Time Nonlinear Filtering with Finitely Correlated Noise
Zhiguo Wang, Xiaojing Shen
In this paper, an approximation recursive formula of the mean-square error lower bound for the discrete-time nonlinear filtering problem when noises of dynamic systems are temporal…
Adaptive Non-myopic Quantizer Design for Target Tracking in Wireless Sensor Networks
Sijia Liu, Engin Masazade, Xiaojing Shen +1
In this paper, we investigate the problem of nonmyopic (multi-step ahead) quantizer design for target tracking using a wireless sensor network. Adopting the alternative conditional…
Sensor Selection Based on Generalized Information Gain for Target Tracking in Large Sensor Networks
Xiaojing Shen, Pramod K. Varshney
In this paper, sensor selection problems for target tracking in large sensor networks with linear equality or inequality constraints are considered. First, we derive an equivalent…
Distributed Bayesian Detection Under Unknown Observation Statistics
Xiaojing Shen, Pramod K. Varshney, Yunmin Zhu
In this paper, distributed Bayesian detection problems with unknown prior probabilities of hypotheses are considered. The sensors obtain observations which are conditionally depend…
Robust Distributed Maximum Likelihood Estimation with Dependent Quantized Data
Xiaojing Shen, Pramod K. Varshney, Yunmin Zhu
In this paper, we consider distributed maximum likelihood estimation (MLE) with dependent quantized data under the assumption that the structure of the joint probability density fu…