Zhiguo Wang

Orcid: 0000-0003-2604-3597

Affiliations:
  • Sichuan University, Chengdu, Sichuan, China


According to our database1, Zhiguo Wang authored at least 21 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
An Unbalanced Optimal Transport-Based Approach for Robust Dictionary Learning.
IEEE Trans. Neural Networks Learn. Syst., June, 2025

Ellipsoidal extended target estimation fusion via Wasserstein barycentric coordinates.
Signal Process., 2025

2024
Robust Primal-Dual Proximal Algorithm for Cooperative Localization in WSNs.
Proceedings of the 27th International Conference on Information Fusion, 2024

Bures-Wasserstein Barycentric Coordinates with Application to Diffusion Tensor Image Smoothing.
Proceedings of the 27th International Conference on Information Fusion, 2024

2023
Distributed Scaled Proximal ADMM Algorithms for Cooperative Localization in WSNs.
IEEE Trans. Signal Process., 2023

Optimal Power Allocation Under Different Power Availability Scenarios for Multitarget Tracking With C-MIMO Radar Systems.
IEEE Trans. Signal Process., 2023

Unsupervised Domain Adaptation Augmented by Mutually Boosted Attention for Semantic Segmentation of VHR Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2023

Beyond ADMM: A Unified Client-Variance-Reduced Adaptive Federated Learning Framework.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Dual Set Membership Filter With Minimizing Nonlinear Transformation of Ellipsoid.
IEEE Trans. Autom. Control., 2022

An Unbiased Symmetric Matrix Estimator for Topology Inference Under Partial Observability.
IEEE Signal Process. Lett., 2022

Beyond ADMM: A Unified Client-variance-reduced Adaptive Federated Learning Framework.
CoRR, 2022

Gaussian Process Regression with Grid Spectral Mixture Kernel: Distributed Learning for Multidimensional Data.
Proceedings of the 25th International Conference on Information Fusion, 2022

2021
Distributed Stochastic Consensus Optimization With Momentum for Nonconvex Nonsmooth Problems.
IEEE Trans. Signal Process., 2021

Towards Understanding the Impact of Model Size on Differential Private Classification.
CoRR, 2021

Federated Semi-Supervised Learning with Class Distribution Mismatch.
CoRR, 2021

Randomized Multiple Model Multiple Hypothesis Tracking.
CoRR, 2021

2020
Optimally Combining Classifiers for Semi-Supervised Learning.
CoRR, 2020

Multiple-source ellipsoidal localization using acoustic energy measurements.
Autom., 2020

2019
Ellipsoidal Fusion Estimation for Multisensor Dynamic Systems With Bounded Noises.
IEEE Trans. Autom. Control., 2019

2018
The Cramér-Rao Bounds and Sensor Selection for Nonlinear Systems with Uncertain Observations.
Sensors, 2018

A Tighter Set-Membership Filter for Some Nonlinear Dynamic Systems.
IEEE Access, 2018


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