Jun Zhang

Orcid: 0000-0003-4730-5066

Affiliations:
  • University of Wisconsin-Milwaukee, Department of Electrical Engineering and Computer Science, WI, USA
  • Rensselaer Polytechnic Institute, Troy, NY, USA (PhD 1988)


According to our database1, Jun Zhang authored at least 48 papers between 1990 and 2023.

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

Timeline

Legend:

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Online presence:

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Bibliography

2023
A Deep Convolutional Gated Recurrent Unit for CT Image Reconstruction.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

On Equivalence of Anomaly Detection Algorithms.
ACM Trans. Knowl. Discov. Data, February, 2023

2022
A Deep Recurrent Neural Network With FISTA Optimization for CT Metal Artifact Reduction.
IEEE Trans. Computational Imaging, 2022

A deep recurrent neural network with primal-dual optimization for CT metal artifact reduction.
Proceedings of the Medical Imaging 2022: Image Processing, 2022

2021
TextureWGAN: texture preserving WGAN with MLE regularizer for inverse problems.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

2019
Heterogeneous Association Graph Fusion for Target Association in Multiple Object Tracking.
IEEE Trans. Circuits Syst. Video Technol., 2019

Utilizing data mining techniques to predict expected freeway travel time from experienced travel time.
Math. Comput. Simul., 2019

2018
Micro-Lens-Based Matching for Scene Recovery in Lenslet Cameras.
IEEE Trans. Image Process., 2018

Occlusion-aware depth estimation for light field using multi-orientation EPIs.
Pattern Recognit., 2018

Multi-grid nonlocal techniques for x-ray scatter correction.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

2017
Scatter correction by non-local techniques.
Proceedings of the Medical Imaging 2017: Image Processing, 2017

2016
Robust depth estimation for light field via spinning parallelogram operator.
Comput. Vis. Image Underst., 2016

2015
Weight-based sparse coding for multi-shot person re-identification.
Sci. China Inf. Sci., 2015

2013
Automatic Patient Search Using Bernoulli Model.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2013

2012
Multi-slice and multi-frame image reconstruction by predictive compressed sensing.
Proceedings of the Medical Imaging 2012: Image Processing, 2012

Automated search for patient records: classification of free-text medical reports using conditional random fields.
Proceedings of the ACM International Health Informatics Symposium, 2012

2011
Novel Technique for Vision-Based UAV Navigation.
IEEE Trans. Aerosp. Electron. Syst., 2011

2010
Relations between $\beta$ and $\delta$ for QP and LP in Compressed Sensing Computations
CoRR, 2010

Automatic patient search for breast cancer clinical trials using free-text medical reports.
Proceedings of the ACM International Health Informatics Symposium, 2010

2009
On recovery of sparse signals via l1 minimization.
IEEE Trans. Inf. Theory, 2009

2008
On Recovery of Sparse Signals via ℓ<sub>1</sub> Minimization
CoRR, 2008

2004
Nonlinear prediction for Gaussian mixture image models.
IEEE Trans. Image Process., 2004

2003
Object representation and recognition in shape spaces.
Pattern Recognit., 2003

2002
A unified framework for resource discovery and QoS-aware provider selection in ad hoc networks.
ACM SIGMOBILE Mob. Comput. Commun. Rev., 2002

A novel framework for QoS-aware resource discovery in mobile ad hoc networks.
Proceedings of the IEEE International Conference on Communications, 2002

2001
Image sequence segmentation using 3-D structure tensor and curve evolution.
IEEE Trans. Circuits Syst. Video Technol., 2001

Image sequence segmentation using curve evolution and improved background subtraction.
Proceedings of the Visual Information Processing X, Orlando, FL, USA, April 16, 2001, 2001

2000
A Novel Multiresolution Color Image Segmentation Technique and its Application to Dermatoscopic Image Segmentation.
Proceedings of the 2000 International Conference on Image Processing, 2000

1999
Regularized total least squares approach for nonconvolutional linear inverse problems.
IEEE Trans. Image Process., 1999

Figure-ground separation by a dynamical system.
IEEE Trans. Image Process., 1999

1998
Orthonormal wavelets with simple closed-form expressions.
IEEE Trans. Signal Process., 1998

A wavelet-based multiresolution statistical model for texture.
IEEE Trans. Image Process., 1998

Cluster validation for unsupervised stochastic model-based image segmentation.
IEEE Trans. Image Process., 1998

Image segmentation by multigrid Markov random field optimization and perceptual considerations.
J. Electronic Imaging, 1998

Segmentation of Dermatoscopic Images by Stabilized Inverse Diffusion Equations.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

1997
Regularized Total Least Squares Reconstruction for Optical Tomographic Imaging Using Conjugate Gradient Method.
Proceedings of the Proceedings 1997 International Conference on Image Processing, 1997

1996
The convergence of mean field procedures for MRFs [image processing].
IEEE Trans. Image Process., 1996

The application of the Gibbs-Bogoliubov-Feynman inequality in mean field calculations for Markov random fields.
IEEE Trans. Image Process., 1996

1995
Wavelet neural networks for function learning.
IEEE Trans. Signal Process., 1995

The application of mean field theory to image motion estimation.
IEEE Trans. Image Process., 1995

Parameter reduction for the compound Gauss-Markov model.
IEEE Trans. Image Process., 1995

Figure-ground separation by a neural dynamical system.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

1994
Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation.
IEEE Trans. Image Process., 1994

1993
The mean field theory in EM procedures for blind Markov random field image restoration.
IEEE Trans. Image Process., 1993

Wavelets based on band-limited processes with a K-L type property.
Proceedings of the Visual Information Processing II, Orlando, FL, USA, April 11, 1993, 1993

1992
A Markov Random Field Model-Based Approach to Image Interpretation.
IEEE Trans. Pattern Anal. Mach. Intell., 1992

Use of the mean-field approximation in an EM-based approach to unsupervised stochastic model-based image segmentation.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1990
A Model-Fitting Approach to Cluster Validation with Application to Stochastic Model-Based Image Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 1990


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