A Model-Fitting Approach to Cluster Validation with Application to Stochastic Model-Based Image Segmentation. - Jun Zhang 006; James W. Modestino (IEEE Trans. Pattern Anal. Mach. Intell., 1990)

Use of the mean-field approximation in an EM-based approach to unsupervised stochastic model-based image segmentation. - David A. Langan; Karl J. Molnar; James W. Modestino; Jun Zhang 006 (ICASSP, 1992)

A Markov Random Field Model-Based Approach to Image Interpretation. - James W. Modestino; Jun Zhang 006 (IEEE Trans. Pattern Anal. Mach. Intell., 1992)

Wavelets based on band-limited processes with a K-L type property. - Gilbert G. Walter; Jun Zhang 006 (Visual Information Processing, 1993)

The mean field theory in EM procedures for blind Markov random field image restoration. - Jun Zhang 006 (IEEE Trans. Image Process., 1993)

Maximum-likelihood parameter estimation for unsupervised stochastic model-based image segmentation. - Jun Zhang 006; James W. Modestino; David A. Langan (IEEE Trans. Image Process., 1994)

Figure-ground separation by a neural dynamical system. - Jun Zhang 006; Jianhua Lin (ICIP, 1995)

Parameter reduction for the compound Gauss-Markov model. - Jun Zhang 006 (IEEE Trans. Image Process., 1995)

The application of mean field theory to image motion estimation. - Jun Zhang 006; Gerald G. Hanauer (IEEE Trans. Image Process., 1995)

Wavelet neural networks for function learning. - Jun Zhang 006; Gilbert G. Walter; Y. Miao; Wan Ngai Wayne Lee (IEEE Trans. Signal Process., 1995)

The application of the Gibbs-Bogoliubov-Feynman inequality in mean field calculations for Markov random fields. - Jun Zhang 006 (IEEE Trans. Image Process., 1996)

The convergence of mean field procedures for MRFs [image processing]. - Jun Zhang 006 (IEEE Trans. Image Process., 1996)

Regularized Total Least Squares Reconstruction for Optical Tomographic Imaging Using Conjugate Gradient Method. - Wenwu Zhu 001; Yao Wang 001; Nikolas P. Galatsanos; Jun Zhang 006 (ICIP (1), 1997)

Segmentation of Dermatoscopic Images by Stabilized Inverse Diffusion Equations. - Jianbo Gao; Jun Zhang 006; Matthew G. Fleming; Ilya Pollak; Armand B. Cognetta Jr. (ICIP (3), 1998)

Image segmentation by multigrid Markov random field optimization and perceptual considerations. - Jun Zhang 006; Dongyan Wang (J. Electronic Imaging, 1998)

Cluster validation for unsupervised stochastic model-based image segmentation. - David A. Langan; James W. Modestino; Jun Zhang 006 (IEEE Trans. Image Process., 1998)

A wavelet-based multiresolution statistical model for texture. - Jun Zhang 006; Dongyan Wang; Que N. Tran (IEEE Trans. Image Process., 1998)

Orthonormal wavelets with simple closed-form expressions. - Gilbert G. Walter; Jun Zhang 006 (IEEE Trans. Signal Process., 1998)

Figure-ground separation by a dynamical system. - Jun Zhang 006; Jianbo Gao; Jiangchuan Liu (IEEE Trans. Image Process., 1999)

Regularized total least squares approach for nonconvolutional linear inverse problems. - Wenwu Zhu 001; Yao Wang 001; Nikolas P. Galatsanos; Jun Zhang 006 (IEEE Trans. Image Process., 1999)

A Novel Multiresolution Color Image Segmentation Technique and its Application to Dermatoscopic Image Segmentation. - Jianbo Gao; Jun Zhang 006; Matthew G. Fleming (ICIP, 2000)

Image sequence segmentation using curve evolution and improved background subtraction. - Weisong Liu; Jun Zhang 006 (Visual Information Processing, 2001)

Image sequence segmentation using 3-D structure tensor and curve evolution. - Jun Zhang 006; Jianbo Gao; Weisong Liu (IEEE Trans. Circuits Syst. Video Technol., 2001)

A novel framework for QoS-aware resource discovery in mobile ad hoc networks. - Jiangchuan Liu; Qian Zhang 001; Wenwu Zhu 001; Jun Zhang 006; Bin Li 036 (ICC, 2002)

A unified framework for resource discovery and QoS-aware provider selection in ad hoc networks. - Jiangchuan Liu; Qian Zhang 001; Bo Li 001; Wenwu Zhu 001; Jun Zhang 006 (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2002)

Object representation and recognition in shape spaces. - Jun Zhang 006; X. Zhang; Hamid Krim; Gilbert G. Walter (Pattern Recognit., 2003)

Nonlinear prediction for Gaussian mixture image models. - Jun Zhang 006; Dehong Ma (IEEE Trans. Image Process., 2004)

On Recovery of Sparse Signals via ℓ1 Minimization - T. Tony Cai; Guangwu Xu; Jun Zhang 006 (CoRR, 2008)

On recovery of sparse signals via l1 minimization. - T. Tony Cai; Guangwu Xu; Jun Zhang 006 (IEEE Trans. Inf. Theory, 2009)

Automatic patient search for breast cancer clinical trials using free-text medical reports. - Jun Zhang 006; Yingying Gu; Weisong Liu; Wen Hu; Tian Zhao; Xiangming Mu; James Marx; Floyd Frost; Judy Tjoe (IHI, 2010)

Relations between $ beta$ and $ delta$ for QP and LP in Compressed Sensing Computations - Jun Zhang 006; Jun Wang; Guangwu Xu (CoRR, 2010)

TCP-FIT: An improved TCP congestion control algorithm and its performance. - Jingyuan Wang 001; Jiangtao Wen; Jun Zhang 006; Yuxing Han 001 (INFOCOM, 2011)

Novel Technique for Vision-Based UAV Navigation. - Jun Zhang 006; Weisong Liu; Yirong Wu (IEEE Trans. Aerosp. Electron. Syst., 2011)

Automated search for patient records: classification of free-text medical reports using conditional random fields. - Ivko Cvejic; Jun Zhang 006; James Marx; Judy Tjoe (IHI, 2012)

Multi-slice and multi-frame image reconstruction by predictive compressed sensing. - Jun Zhang 006; Jun Wang; Guangwu Xu; Jean-Baptiste Thibault (Image Processing, 2012)

TCP-FITDC: An adaptive approach to TCP incast avoidance for data center applications. - Jun Zhang 006; Jiangtao Wen; Jingyuan Wang 001; Wenlai Zhao (ICNC, 2013)

Automatic Patient Search Using Bernoulli Model. - Yingying Gu; Christopher Kallas; Jun Zhang 006; James Marx; Judy Tjoe (ICHI, 2013)

CUBIC-FIT: A High Performance and TCP CUBIC Friendly Congestion Control Algorithm. - Jingyuan Wang 001; Jiangtao Wen; Yuxing Han 001; Jun Zhang 006; Chao Li 001; Zhang Xiong 001 (IEEE Commun. Lett., 2013)

Achieving high throughput and TCP Reno fairness in delay-based TCP over large networks. - Jingyuan Wang 001; Jiangtao Wen; Yuxing Han 001; Jun Zhang 006; Chao Li 001; Zhang Xiong 001 (Frontiers Comput. Sci., 2014)

Weight-based sparse coding for multi-shot person re-identification. - Yanwei Zheng; Hao Sheng 001; Beichen Zhang; Jun Zhang 006; Zhang Xiong 001 (Sci. China Inf. Sci., 2015)

Robust depth estimation for light field via spinning parallelogram operator. - Shuo Zhang 003; Hao Sheng 001; Chao Li 001; Jun Zhang 006; Zhang Xiong 001 (Comput. Vis. Image Underst., 2016)

TCP-FIT: An improved TCP algorithm for heterogeneous networks. - Jingyuan Wang 001; Jiangtao Wen; Jun Zhang 006; Zhang Xiong 001; Yuxing Han 001 (J. Netw. Comput. Appl., 2016)

Scatter correction by non-local techniques. - Yingying Gu; Jun Zhang 006; Ping Xue 005 (Image Processing, 2017)

TCP-ACC: performance and analysis of an active congestion control algorithm for heterogeneous networks. - Jun Zhang 006; Jiangtao Wen; Yuxing Han 001 (Frontiers Comput. Sci., 2017)

Multi-grid nonlocal techniques for x-ray scatter correction. - Yingying Gu; Jun Zhang 006; Ping Xue 005 (Image Processing, 2018)

Occlusion-aware depth estimation for light field using multi-orientation EPIs. - Hao Sheng 001; Pan Zhao; Shuo Zhang 003; Jun Zhang 006; Da Yang 001 (Pattern Recognit., 2018)

Micro-Lens-Based Matching for Scene Recovery in Lenslet Cameras. - Shuo Zhang 003; Hao Sheng 001; Da Yang 001; Jun Zhang 006; Zhang Xiong 001 (IEEE Trans. Image Process., 2018)

Utilizing data mining techniques to predict expected freeway travel time from experienced travel time. - Hasan M. Moonam; Xiao Qin 004; Jun Zhang 006 (Math. Comput. Simul., 2019)

Heterogeneous Association Graph Fusion for Target Association in Multiple Object Tracking. - Hao Sheng 001; Yang Zhang 032; Jiahui Chen 001; Zhang Xiong 001; Jun Zhang 006 (IEEE Trans. Circuits Syst. Video Technol., 2019)

TextureWGAN: texture preserving WGAN with MLE regularizer for inverse problems. - Masaki Ikuta; Jun Zhang 006 (Image Processing, 2021)

Vision Perception Unit: Next-Generation Smart CMOS Image Sensor. - Wenqi Ji; Yuxing Han 001; Jiangtao Wen; Yubin Hu 001; Futang Wang; Yuze He; Xi Li; Jun Zhang 006 (HCS, 2022)

A deep recurrent neural network with primal-dual optimization for CT metal artifact reduction. - Masaki Ikuta; Jun Zhang 006 (Image Processing, 2022)

A Deep Recurrent Neural Network With FISTA Optimization for CT Metal Artifact Reduction. - Masaki Ikuta; Jun Zhang 006 (IEEE Trans. Computational Imaging, 2022)

On Equivalence of Anomaly Detection Algorithms. - Carlos Ivan Jerez; Jun Zhang 006; Marcia R. Silva (ACM Trans. Knowl. Discov. Data, 2023)

A Deep Convolutional Gated Recurrent Unit for CT Image Reconstruction. - Masaki Ikuta; Jun Zhang 006 (IEEE Trans. Neural Networks Learn. Syst., 2023)