Jun Liu

Professor

Beijing Normal University
Beijing, 100875, P.R. China

Email: jliu@bnu.edu.cn

Office: New Main Building 1230
Fax: +86 10 58809447

Curriculum Vitae Helpful Links Teaching

Research Interests

Variational and PDE-based image processing
Numerical analysis
Image processing applications
Machine Learning & Deep Learning

Preprints

Frequency-Domain Multi-Regularization-Experts Fusion for Robust Non-line-of-sight Imaging. revised.

Entropic Nonlocal TV with Learnable Self-Similarity in Multi-Scale Deep Feature Space for Image Denoising. submitted.

Dual Model based Adaptive Fusion of Multi-Feature Distributions in Semi-Supervised Image Segmentation. submitted.

Learnable Mixture Distribution based Artifact Suppression in Limited-angle CT Image Reconstruction. submittd.

Topology-Guaranteed Image Segmentation: Enforcing Connectivity, Genus, and Width Constraints. revised.

Utilizing Volume and Volume Distribution Priors in Data-Driven Medical Image Segmentation with Incomplete Labeling. submitted.

Contour Field based Elliptical Shape Prior for the Segment Anything Model. revised.

Zhuoxiao Li, and Jun Liu. Learnable Mixture Distribution Prior for Image Denoising. revised.

Selected Publications

Jun Liu, Kehui Zhang, Xue-Cheng Tai, Shousheng Luo. Convex Shape Prior for Deep Convolution Neural Network based Eye Fundus Images Segmentation. Journal of Mathematical Imaging and Vision. (2025) to appear. arXiv [Matlab code] [keras layer]

Yiming Yang, Jun Liu, Wei Wan. Regularizing Softmax with Graph Similarity for Enhanced Node Classification in Semi-Supervised Settings. International Journal of Intelligent Systems. (2025) 1:8861477. WILEY

Wenxiao Li, Xiangyue Wang, Faqiang Wang, Jun Liu. Learnable Boundary Enhanced Softmax Layer Based on Gray Morphology for Data-driven Image Segmentation. Inverse Problems & Imaging. (2025) to appear. AIMS

Shengzhe Chen, Zhaoxuan Dong, Jun Liu. Contour Flow Constraint: Preserving Global Shape Similarity for Deep Learning based Image Segmentation. IEEE Transactions on Image Processing. (2025) 34:5054-5067. IEEE

Jun Xie, Wenxiao Li, Faqiang Wang, Liqiang Zhang, Zhengyang Hou, Jun Liu. Slender Object Scene Segmentation in Remote Sensing Image based on Learnable Morphological Skeleton with Segment Anything Model. IEEE Transactions on Geoscience and Remote Sensing. (2025) 63:4704713. IEEE Codes

Xinyu Zhao, Jun Xie, Shengzhe Chen, Jun Liu. Convex Combination Star Shape Prior for Data-driven Image Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). (2025) 14068-14077. IEEE Codes

Qinghua Zhang, Jun Liu, Yuping Duan. Adaptive Attention based on Mixture Distribution for Zero-shot Non-line-of-sight Imaging. IEEE Signal Processing Letters. (2025) 32: 1690-1694. IEEE

Gennaro Auricchio, Jun Liu, Qun Ma, Jie Zhang. Edge Manipulations for the Maximum Vertex-Weighted Bipartite b-matching. ACM Transactions on Intelligent Systems and Technology. (2025) 16(1):1-26. AIMS

Hao Liu, Jun Liu,Raymond H. Chan, Xue-Cheng Tai. Double-Well Net for Image Segmentation. Multiscale Modeling & Simulation. (2024) 22(4):1449-1477. SIAM

Xiangyue Wang, Jun Liu. Spatially Regularized Leaky ReLU in Dual Space for CNN based Image Segmentation. Inverse Problems & Imaging. (2024) 18(6):1320-1342. AIMS

Junying Meng, Weihong Guo, Jun Liu, Mingrui Yang. Assembling a Learnable Mumford-Shah Type Model with Multigrid Technique for Image Segmentation. SIAM Journal on Imaging Sciences. (2024) 17(2): 1007-1039. SIAM

Zhengyang Hou, Ying Qu, Liqiang Zhang, Jun Liu, Faqiang Wang et al.. War City Profiles Drawn from Satellite Images. Nature Cities. (2024) 1:359-369. Nature

Junying Meng, Faqiang Wang, Jun Liu. Learnable Nonlocal Self-similarity of Deep Features for Image Denoising. SIAM Journal on Imaging Sciences. (2024) 17(1):441-475. SIAM

Haifeng Li, Weihong Guo, Jun Liu, Li Cui, Dongxing Xie. Image Segmentation with Adaptive Spatial Priors from Joint Registration. SIAM Journal on Imaging Sciences, (2022) 15(3):1314-1344. SIAM

Zhuoxiao Li, Faqaing Wang, Li Cui, Jun Liu. Dual Mixture Model based CNN for Image Denoising. IEEE Transactions on Image Processing, (2022) 31: 3618-3629.IEEE

Jun Liu, Xiangyue Wang, Xue-Cheng Tai. Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-Shape Priors for Image Segmentation. Journal of Mathematical Imaging and Vision, (2022) 64(6):625-645. Springer arXiv [Matlab code] [pytorch demo]

Xiaojun Zheng, Zhongdan Huan, Jun Liu. On the solvability of a semilinear higher-order elliptic problem for the vector field method in image registration. Communications on Pure and Applied Analysis, (2022) 21(8): 2679-2700. AIMS

Junying Meng, Faqiang Wang, Li Cui, Jun Liu. The Lower Bound of Nonlocal Gradient for Non-convex and Non-smooth Image Patches based Regularization. Inverse Problems, (2022) 38(3): 035010. IOPSCIENCE

Cuicui Zhao, Jun Liu, Jie Zhang. A Dual Model for Restoring Images Corrupted by Mixture of Additive and Multiplicative Noise. IEEE Access, (2021) 9: 168869-168888. IEEE [Supplementary Material] [Matlab code]

Fan Jia, Jun Liu, Xue-Cheng Tai. A Regularized Convolutional Neural Network for Semantic Image Segmentation. Analysis and Applications, (2021) 19(1): 147-165. WorldScientific arXiv [Caffe code]

Wei Wan, Weihong Guo, Haiyang Huang, Jun Liu. Nonnegative and Nonlocal Sparse Tensor Factorization-Based Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, (2020) 58(12): 8384-8394. IEEE

Wei Wan, Jun Liu. Nonlocal Patches based Gaussian Mixture Model for Image Inpainting. Applied Mathematical Modelling, (2020) 87: 317-331. ScienceDirect arXiv

Haifeng Li, Jun Liu, Li Cui, Haiyang Huang, Xue-Cheng Tai. Volume Preserving Image Segmentation with Entropy Regularized Optimal Transport and Its Applications in Deep Learning. Journal of Visual Communication and Image Representation, (2020) 71: 1-14.Elsevier arXiv [Matlab code]

Fan Jia, Xue-Cheng Tai, Jun Liu. Nonlocal Regularized CNN for Image Segmentation. Inverse Problems & imaging, (2020) 14(5): 891-911. AIMS

Shi Yan, Xue-Cheng Tai, Jun Liu, Hai-yang Huang. Convexity Shape Prior for Level Set based Image Segmentation Method. IEEE Transactions on Image Processing, (2020) 29: 7141-7152. IEEE arXiv

Faqiang Wang, Cuicui Zhao, Jun Liu, Haiyang Huang. A Variational Image Segmentation Model based on Normalized Cut with Adaptive Similarity and Spatial Regularization. SIAM Journal on Imaging Sciences, (2020) 13(2): 651-684. SIAM arXiv [Matlab code]

Faqiang Wang, Haiyang Huang, Jun Liu.Variational based Mixed Noise Removal with CNN Deep Learning Regularization. IEEE Transactions on Image Processing. (2020) 29(1): 1246-1258. IEEE arXiv [Matlab code]

Wei Wan, Weihong Guo, Jun Liu, Haiyang Huang. Non-local Blind Hyperspectral Image Super-resolution via 4D Sparse Tensor Factorization and Low-rank. Inverse Problems & Imaging. (2020) 14(2): 339-361. AIMS

Shi Yan, Jun Liu, Haiyang Huang, Xue-Cheng Tai. A Dual EM Algorithm for TV Regularized Gaussian Mixture Model in Image Segmentation. Inverse Problems & Imaging. (2019) 13(3): 653-677. AIMS

Jun Liu, Stanley Osher. Block Matching Local SVD Operator Based Sparsity and TV Regularization for Image Denoising. Journal of Scientific Computing. (2019) 78(1): 607-624. Springer [Matlab code]

Wei Wan, Haiyang Huang, Jun Liu, Local Block Operators and TV Regularization based Image Inpainting. Inverse Problems and Imaging. (2018) 12(6): 1389-1410.AIMS

Shi Yan, Zihao Yu, Jun Liu, Non-parametric Mixture Model with TV Spatial Regularisation and Its Dual Expectation Maximisation Algorithm. IET Image Processing. (2018) 12(9): 1655-1662. IET.

Yuebin Wang, Liqiang Zhang, Hao Deng, Jiwen Lu, Haiyang Huang, Liang Zhang, Jun Liu, Hong Tang, Xiaoyue Xing. Learning a discriminative distance metric with label consistency for scene classification. IEEE Transactions on Geoscience & Remote Sensing. (2017) 55(8):4427-4440. IEEE.

Jun Liu, Xiaojun Zheng. A Block Nonlocal TV Method for Image Restoration. SIAM Journal on Imaging Sciences,(2017) 10(2):920-941. SIAM [Matlab code]

Jun Liu, Xue-Cheng Tai, Shingyu Leung, Haiyang Huang. A New Continuous Max-flow Algorithm for Multiphase Image Segmentation using Super-level Set Functions. Journal of Visual Communication and Image Representation. (2014) 25(6): 1472-1488. Elsevier [Matlab code]

Jun Liu Xue-Cheng Tai, Shingyu Leung. A Generic Convexication and Graph Cut Method for Multiphase Image Segmentation. Energy Minimization Methods in Computer Vision and Pattern Recognition Lecture Notes in Computer Science. (2013) 8081:251-265. Springer [Matlab code]

Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan. A Weighted Dictionary Learning Model for Denoising Images Corrupted by Mixed Noise. IEEE Transactions on Image Processing. (2013) 22(3): 1108-1120. IEEE [Matlab code]

Jun Liu, Shingyu Leung. A Splitting Algorithm for Image Segmentation on Manifolds Represented by Grid Based Particle Method. Journal of Scientific Computing, (2013) 56(2): 243-266. Springer

Jun Liu, Haili Zhang. Image Segmentation Using a Local GMM in a Variational Framework. Journal of Mathematical Imaging and Vision, (2013) 46(2): 161-176. Springer [Matlab code]

Jun Liu,Yin-Bon Ku, Shingyu Leung. Expectation-maximization Algorithm with Total Variation Regularization for Vector-valued Image Segmentation. Journal of Visual Communication and Image Representation, (2012) 23(8): 1234-1244. Elsevier [Matlab code]

Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan. Simultaneous Denoising and Illumination Correction via Local Data-Fidelity and Nonlocal Regularization. Scale Space and Variational Methods in Computer Vision Lecture Notes in Computer Science,(2012) 6667:218-230. Springer [Matlab code]

Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan. A Fast Segmentation Method Based on Constraint Optimization and Its Applications: Intensity Inhomogeneity and Texture Segmentation. Pattern Recognition . (2011) 44(9):2093-2108. Elsevier [Matlab code]

Jun Liu, Zhongdan Huan, Haiyang Huang. Image Restoration under Mixed Noise Using Globally Convex Segmentation. Journal of Visual Communication and Image Representation. (2011) 22 (3) : 263-270. Elsevier

Qinghua Liu, Huiliang Wang, Jun Liu, Haiyang Huang. AFM Image Processing for Estimating the Number and Volume of Nanoparticles on a Rough Surface. Surface and Interface Analysis. (2011) 43(10): 1354-1359. Wiley

Jun Liu, Haiyang Huang, Zhongdan Huan, Haili Zhang. Adaptive Variational Method for Restoring Color Images with High Density Impulse Noise. International Journal of Computer Vision. (2010) 90 (2): 131-149. Springer [Matlab code]

Jun Liu, Zhongdan Huan, Haiyang Huang, Haili Zhang. An Adaptive Method for Recovering Image from Mixed Noisy Data. International Journal of Computer Vision. (2009) 85 (2): 182-191. Springer [Matlab code]

	Frequency-Domain Multi-Regularization-Experts Fusion for Robust Non-line-of-sight Imaging. revised.
	Entropic Nonlocal TV with Learnable Self-Similarity in Multi-Scale Deep Feature Space for Image Denoising. submitted.
	Dual Model based Adaptive Fusion of Multi-Feature Distributions in Semi-Supervised Image Segmentation. submitted.
	Learnable Mixture Distribution based Artifact Suppression in Limited-angle CT Image Reconstruction. submittd.
	Topology-Guaranteed Image Segmentation: Enforcing Connectivity, Genus, and Width Constraints. revised.
	Utilizing Volume and Volume Distribution Priors in Data-Driven Medical Image Segmentation with Incomplete Labeling. submitted.
	Contour Field based Elliptical Shape Prior for the Segment Anything Model. revised.
	Zhuoxiao Li, and Jun Liu. Learnable Mixture Distribution Prior for Image Denoising. revised.

	Jun Liu, Kehui Zhang, Xue-Cheng Tai, Shousheng Luo. Convex Shape Prior for Deep Convolution Neural Network based Eye Fundus Images Segmentation. Journal of Mathematical Imaging and Vision. (2025) to appear. arXiv [Matlab code] [keras layer]
	Yiming Yang, Jun Liu, Wei Wan. Regularizing Softmax with Graph Similarity for Enhanced Node Classification in Semi-Supervised Settings. International Journal of Intelligent Systems. (2025) 1:8861477. WILEY
	Wenxiao Li, Xiangyue Wang, Faqiang Wang, Jun Liu. Learnable Boundary Enhanced Softmax Layer Based on Gray Morphology for Data-driven Image Segmentation. Inverse Problems & Imaging. (2025) to appear. AIMS
	Shengzhe Chen, Zhaoxuan Dong, Jun Liu. Contour Flow Constraint: Preserving Global Shape Similarity for Deep Learning based Image Segmentation. IEEE Transactions on Image Processing. (2025) 34:5054-5067. IEEE
	Jun Xie, Wenxiao Li, Faqiang Wang, Liqiang Zhang, Zhengyang Hou, Jun Liu. Slender Object Scene Segmentation in Remote Sensing Image based on Learnable Morphological Skeleton with Segment Anything Model. IEEE Transactions on Geoscience and Remote Sensing. (2025) 63:4704713. IEEE Codes
	Xinyu Zhao, Jun Xie, Shengzhe Chen, Jun Liu. Convex Combination Star Shape Prior for Data-driven Image Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). (2025) 14068-14077. IEEE Codes
	Qinghua Zhang, Jun Liu, Yuping Duan. Adaptive Attention based on Mixture Distribution for Zero-shot Non-line-of-sight Imaging. IEEE Signal Processing Letters. (2025) 32: 1690-1694. IEEE
	Gennaro Auricchio, Jun Liu, Qun Ma, Jie Zhang. Edge Manipulations for the Maximum Vertex-Weighted Bipartite b-matching. ACM Transactions on Intelligent Systems and Technology. (2025) 16(1):1-26. AIMS
	Hao Liu, Jun Liu,Raymond H. Chan, Xue-Cheng Tai. Double-Well Net for Image Segmentation. Multiscale Modeling & Simulation. (2024) 22(4):1449-1477. SIAM
	Xiangyue Wang, Jun Liu. Spatially Regularized Leaky ReLU in Dual Space for CNN based Image Segmentation. Inverse Problems & Imaging. (2024) 18(6):1320-1342. AIMS
	Junying Meng, Weihong Guo, Jun Liu, Mingrui Yang. Assembling a Learnable Mumford-Shah Type Model with Multigrid Technique for Image Segmentation. SIAM Journal on Imaging Sciences. (2024) 17(2): 1007-1039. SIAM
	Zhengyang Hou, Ying Qu, Liqiang Zhang, Jun Liu, Faqiang Wang et al.. War City Profiles Drawn from Satellite Images. Nature Cities. (2024) 1:359-369. Nature
	Junying Meng, Faqiang Wang, Jun Liu. Learnable Nonlocal Self-similarity of Deep Features for Image Denoising. SIAM Journal on Imaging Sciences. (2024) 17(1):441-475. SIAM
	Haifeng Li, Weihong Guo, Jun Liu, Li Cui, Dongxing Xie. Image Segmentation with Adaptive Spatial Priors from Joint Registration. SIAM Journal on Imaging Sciences, (2022) 15(3):1314-1344. SIAM
	Zhuoxiao Li, Faqaing Wang, Li Cui, Jun Liu. Dual Mixture Model based CNN for Image Denoising. IEEE Transactions on Image Processing, (2022) 31: 3618-3629.IEEE
	Jun Liu, Xiangyue Wang, Xue-Cheng Tai. Deep Convolutional Neural Networks with Spatial Regularization, Volume and Star-Shape Priors for Image Segmentation. Journal of Mathematical Imaging and Vision, (2022) 64(6):625-645. Springer arXiv [Matlab code] [pytorch demo]
	Xiaojun Zheng, Zhongdan Huan, Jun Liu. On the solvability of a semilinear higher-order elliptic problem for the vector field method in image registration. Communications on Pure and Applied Analysis, (2022) 21(8): 2679-2700. AIMS
	Junying Meng, Faqiang Wang, Li Cui, Jun Liu. The Lower Bound of Nonlocal Gradient for Non-convex and Non-smooth Image Patches based Regularization. Inverse Problems, (2022) 38(3): 035010. IOPSCIENCE
	Cuicui Zhao, Jun Liu, Jie Zhang. A Dual Model for Restoring Images Corrupted by Mixture of Additive and Multiplicative Noise. IEEE Access, (2021) 9: 168869-168888. IEEE [Supplementary Material] [Matlab code]
	Fan Jia, Jun Liu, Xue-Cheng Tai. A Regularized Convolutional Neural Network for Semantic Image Segmentation. Analysis and Applications, (2021) 19(1): 147-165. WorldScientific arXiv [Caffe code]
	Wei Wan, Weihong Guo, Haiyang Huang, Jun Liu. Nonnegative and Nonlocal Sparse Tensor Factorization-Based Hyperspectral Image Super-Resolution. IEEE Transactions on Geoscience and Remote Sensing, (2020) 58(12): 8384-8394. IEEE
	Wei Wan, Jun Liu. Nonlocal Patches based Gaussian Mixture Model for Image Inpainting. Applied Mathematical Modelling, (2020) 87: 317-331. ScienceDirect arXiv
	Haifeng Li, Jun Liu, Li Cui, Haiyang Huang, Xue-Cheng Tai. Volume Preserving Image Segmentation with Entropy Regularized Optimal Transport and Its Applications in Deep Learning. Journal of Visual Communication and Image Representation, (2020) 71: 1-14.Elsevier arXiv [Matlab code]
	Fan Jia, Xue-Cheng Tai, Jun Liu. Nonlocal Regularized CNN for Image Segmentation. Inverse Problems & imaging, (2020) 14(5): 891-911. AIMS
	Shi Yan, Xue-Cheng Tai, Jun Liu, Hai-yang Huang. Convexity Shape Prior for Level Set based Image Segmentation Method. IEEE Transactions on Image Processing, (2020) 29: 7141-7152. IEEE arXiv
	Faqiang Wang, Cuicui Zhao, Jun Liu, Haiyang Huang. A Variational Image Segmentation Model based on Normalized Cut with Adaptive Similarity and Spatial Regularization. SIAM Journal on Imaging Sciences, (2020) 13(2): 651-684. SIAM arXiv [Matlab code]
	Faqiang Wang, Haiyang Huang, Jun Liu.Variational based Mixed Noise Removal with CNN Deep Learning Regularization. IEEE Transactions on Image Processing. (2020) 29(1): 1246-1258. IEEE arXiv [Matlab code]
	Wei Wan, Weihong Guo, Jun Liu, Haiyang Huang. Non-local Blind Hyperspectral Image Super-resolution via 4D Sparse Tensor Factorization and Low-rank. Inverse Problems & Imaging. (2020) 14(2): 339-361. AIMS
	Shi Yan, Jun Liu, Haiyang Huang, Xue-Cheng Tai. A Dual EM Algorithm for TV Regularized Gaussian Mixture Model in Image Segmentation. Inverse Problems & Imaging. (2019) 13(3): 653-677. AIMS
	Jun Liu, Stanley Osher. Block Matching Local SVD Operator Based Sparsity and TV Regularization for Image Denoising. Journal of Scientific Computing. (2019) 78(1): 607-624. Springer [Matlab code]
	Wei Wan, Haiyang Huang, Jun Liu, Local Block Operators and TV Regularization based Image Inpainting. Inverse Problems and Imaging. (2018) 12(6): 1389-1410.AIMS
	Shi Yan, Zihao Yu, Jun Liu, Non-parametric Mixture Model with TV Spatial Regularisation and Its Dual Expectation Maximisation Algorithm. IET Image Processing. (2018) 12(9): 1655-1662. IET.
	Yuebin Wang, Liqiang Zhang, Hao Deng, Jiwen Lu, Haiyang Huang, Liang Zhang, Jun Liu, Hong Tang, Xiaoyue Xing. Learning a discriminative distance metric with label consistency for scene classification. IEEE Transactions on Geoscience & Remote Sensing. (2017) 55(8):4427-4440. IEEE.
	Jun Liu, Xiaojun Zheng. A Block Nonlocal TV Method for Image Restoration. SIAM Journal on Imaging Sciences,(2017) 10(2):920-941. SIAM [Matlab code]
	Jun Liu, Xue-Cheng Tai, Shingyu Leung, Haiyang Huang. A New Continuous Max-flow Algorithm for Multiphase Image Segmentation using Super-level Set Functions. Journal of Visual Communication and Image Representation. (2014) 25(6): 1472-1488. Elsevier [Matlab code]
	Jun Liu Xue-Cheng Tai, Shingyu Leung. A Generic Convexication and Graph Cut Method for Multiphase Image Segmentation. Energy Minimization Methods in Computer Vision and Pattern Recognition Lecture Notes in Computer Science. (2013) 8081:251-265. Springer [Matlab code]
	Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan. A Weighted Dictionary Learning Model for Denoising Images Corrupted by Mixed Noise. IEEE Transactions on Image Processing. (2013) 22(3): 1108-1120. IEEE [Matlab code]
	Jun Liu, Shingyu Leung. A Splitting Algorithm for Image Segmentation on Manifolds Represented by Grid Based Particle Method. Journal of Scientific Computing, (2013) 56(2): 243-266. Springer
	Jun Liu, Haili Zhang. Image Segmentation Using a Local GMM in a Variational Framework. Journal of Mathematical Imaging and Vision, (2013) 46(2): 161-176. Springer [Matlab code]
	Jun Liu,Yin-Bon Ku, Shingyu Leung. Expectation-maximization Algorithm with Total Variation Regularization for Vector-valued Image Segmentation. Journal of Visual Communication and Image Representation, (2012) 23(8): 1234-1244. Elsevier [Matlab code]
	Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan. Simultaneous Denoising and Illumination Correction via Local Data-Fidelity and Nonlocal Regularization. Scale Space and Variational Methods in Computer Vision Lecture Notes in Computer Science,(2012) 6667:218-230. Springer [Matlab code]
	Jun Liu, Xue-Cheng Tai, Haiyang Huang, Zhongdan Huan. A Fast Segmentation Method Based on Constraint Optimization and Its Applications: Intensity Inhomogeneity and Texture Segmentation. Pattern Recognition . (2011) 44(9):2093-2108. Elsevier [Matlab code]
	Jun Liu, Zhongdan Huan, Haiyang Huang. Image Restoration under Mixed Noise Using Globally Convex Segmentation. Journal of Visual Communication and Image Representation. (2011) 22 (3) : 263-270. Elsevier
	Qinghua Liu, Huiliang Wang, Jun Liu, Haiyang Huang. AFM Image Processing for Estimating the Number and Volume of Nanoparticles on a Rough Surface. Surface and Interface Analysis. (2011) 43(10): 1354-1359. Wiley
	Jun Liu, Haiyang Huang, Zhongdan Huan, Haili Zhang. Adaptive Variational Method for Restoring Color Images with High Density Impulse Noise. International Journal of Computer Vision. (2010) 90 (2): 131-149. Springer [Matlab code]
	Jun Liu, Zhongdan Huan, Haiyang Huang, Haili Zhang. An Adaptive Method for Recovering Image from Mixed Noisy Data. International Journal of Computer Vision. (2009) 85 (2): 182-191. Springer [Matlab code]