Yue Huang  黄悦

    SmartDSP Lab

    School of Informatcis, Xiamen University (厦门大学)

    yhuang2010@xmu.edu.cn

I am now working at School of Informatics, Xiamen University (厦门大学). My research interest includes Machine Learning and Computer Vision.

My lab is recruiting Master students (实验室招新): Details in Chinese

 

Updates:

One paper accepted in ICCV 2019.

Our lateset work with Tencent AI lab, Unsupervised Adversarial Graph Alignment with Graph Embedding.

Two papers are accepted in CVPR 2019. Congratuation to all the authors!

 

Educations:

Ph.D., Biomedical Engineering, Tsinghua University, Beijing, China, Jan 2010

B.S.E., Electrical Engineering, Xiamen University, Xiamen, Fujian, China, Jul 2005

Visiting student, Bioinformatics core, The Methodist Hospital, TX, U.S.A., Nov 2007 - Dec 2008

Visiting scholar, ECE and BME, Carnegie Mellon University, PA, U.S.A., Sep 2015 - Sep 2016

 

Awards:

Our lab won the first prize in MICCAI-challenge MRBrains18!

Our lab won the third prize in MICCAI-challenge CPM!

 

Fundings:

Fundemantal research fund for the Central Univerisity Grants(中央高校基本科研业务费), 2018 - 2020

China Computer Foundation-Tencent Open Fund (中国计算机学会-腾讯犀牛鸟项目,入选率11%), Image-based drug screening via deep learning, 2018 - 2019

National Natural Science Foundation of China (国家自然科学基金面上项目,NSFC 81671766): Microscopy image feature extraction in high-throughput screening via pretraining convolutional neural networks and sparse representation, 2017-2020

National Natural Science Foundation of Fujian Province (福建省自然科学基金面上项目,2017J01126): Image feature extraction for high content screening system, 2017 - 2019

China Computer Foundation-Tencent Open Fund (中国计算机学会-腾讯犀牛鸟项目,入选率10.6%), Histopathological image analysis with machine learning methods, 2016 - 2017

National Natural Science Foundation of China (国家自然科学基金青年项目,NSFC 81301278): Neurite skeletons extractions in microscopy images from high content screening based on sparse representation classifier, 2014-2016

Specialized Research Fund for the Doctoral Program of Higher Education, Ministry of Education of the People's Republic of China(教育部博士点基金) : Non-paramatric Bayesian sparse representation for face recognition, 2013-2015

National Natural Science Foundation of Fujian Province 福建省自然科学基金青年项目: Image processing system for high content screening system, 2012 - 2014

 

Publications:

Google Scholar Profile


Journals
2019

Liyan Sun, Wenao Ma, Xinghao Ding, Yue Huang, Dong Liang and John Paisley, A 3D Spatially-Weighted Network for Segmentation of Brain Tissue from MRI. IEEE Trans. Medical Imaging, accepted

Liyan Sun, Zhiwen Fan, Xueyang Fu, Yue Huang, Xinghao Ding, John Paisley, A Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction, IEEE Trans. Image Processing, accepted.

Xueyang Fu, Borong Liang, Yue Huang, Xinghao Ding, John Paisley, Lightweight Pyramid Networks for Image Deraining, in IEEE Trans. on Neural Network and Learning Systems, accepted.

Xinghao Ding, Yunshu Chen, Zhen Tang, Yue Huang*, Camera Identification based on Domain Knowledge-driven Deep Multi-task Learning, in IEEE ACCESS, accepted.

Yue Huang, Zhenwei Liu, Minghui Jiang, Xian Yu, Xinghao Ding*, Cost-effective Vehicle Type Recognition in Surveillance Images with Deep Active Learning and Web-nature Data. in IEEE Trans. Intelligent Transportation Systems, accepted

Qi Qi, Yanlong Li, Jitian Wang, Han Zheng, Xinghao Ding, Yue Huang*, Gustavo K. Rohde. Label-efficient Breast Cancer Histopathological Image Classification. in IEEE Journal of Biomedical and Health Informatics, Accepted.

Chi Liu, Yue Huang, John A. Ozolek, Matthew Hanna, Rajendra Singh and Gustavo. Rohde, "SetSVM: An Approach to Set Classification in Nuclei-based Cancer Detection," in IEEE Journal of Biomedical and Health Informatics. 2019,23 (1), 351-361

2018

Xian Yu, Han Zheng, Chi Liu, Yue Huang*, Xinghao Ding, Classify Epithelium-Stroma in histopathological images based on deep transferable network, Journal of Microscopy, 2018, 271(2): 164-173

Jitian Wang, Han Zheng, Yue Huang*, Xinghao Ding, Vehicle type recognition in surveillance images from labeled web-nature data using deep transfer learning. IEEE Trans. Intelligent Transportation Systems, 2018, 19(9): 2913-2922

2017

Liron Pantanowitz, Chi Liu, Yue Huang, Huazhang Guo and Gustavo Rohde, Impact of altering various image parameters on human epidermal growth factor receptor 2 image analysis data quality, Journal of Pathological Informatics, 2017, 8(1):39-44.

Yue Huang, Han Zheng, Chi Liu, Xinghao Ding, Gustavo Rohde, Epithelium-stroma classification via convolutional neural networks and unsupervised domain adaptation. IEEE Journal of Biomedical and Health Informatics, 2017, 21(6):1625-1633

Peixian Zhuang, Xueyang Fu, Yue Huang, Xinghao Ding. Image enhancement using divide-and-conquer strategy. Journal of Visual Communication and Image Representation, 2017,45:137-146.

Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding Non-blind deconvolution with ℓ1-norm of high-frequency fidelity, Multimedia Tools and Applications, 2017, 76(22): 23607-23625.

2016

Yue Huang, Chi Liu, John Eisses, Suhail Husain, Gustavo Rohde, A supervised learning framework for pancreatic islet segmentation with multi-scale color-texture features and rolling guidance filters, Cytometry Part A, 2016, 89(10): 893–902

Yue Huang, Xin Chen, Xinghao Ding, A harmonic means pooling strategy for structural similarity index measurement in image quality assessment, Multimedia tools and applications, 2016,75(5):2769-2780.

Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding, Mixed Noise Removal Based on A Novel Non-parametric Bayesian Sparse Outlier Model, Neurocomputing, 2016, 174(22):858-865

Delu Zeng, Yuwen Hu, Yue Huang, Zhiliang Xu, Xinghao Ding, Pan-sharpening with structural consistency and ℓ1/2 gradient prior, Remote sensing letters, 2016, 7(12):1170-1179

Peixian Zhuang, Xueyang Fu, Yue Huang, Delu Zeng and Xinghao Ding. A Novel Framework Method for Non-Blind Deconvolution Using Subspace Images Priors, Signal Processing: Image Communication, 2016, 46: 17-28

Tong Zhao, Lin Li, Xinghao Ding, Yue Huang, and Delu Zeng, Saliency detection with spaces of background-based distribution, IEEE Signal Processing Letters, 2016, 23(5): 683–687.

2015

Xueyang Fu, Yinghao Liao, Delu Zeng, Yue Huang, Xinghao Ding, A Probabilistic Method for Image Enhancement with Simultaneous Illumination and Reflectance Estimation, IEEE Trans. Image Processing, 2015, 24(12): 4965-4977

Xueyang Fu, Jiye Wang, Delu Zeng, Yue Huang, Xinghao Ding, Remote Sensing Image Enhancement using Regularized-Histogram Equalization and DCT, IEEE Geosciences and Remote sensing letters, 2015, 12(11): 2301-2305

Yue Huang, Ruiwen Wu, Ye Sun, Wei Wang, Xinghao Ding, Vehicle logo recognition via convolution neural networks, IEEE Trans. Intelligent Transportation System, 2015,16(4):1951-1960

[Project Page]   

Yue Huang, Xin Chen, Jun Zhang, Xinghao Ding, Single-trial denoising via collaboraborative filtering on ERPs images, Neurocomputing, 2015, 149: 914-923

Previous

Yue Huang, John Paisley, Xinghao Ding, et.al, Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI, IEEE Trans. Image Processing, 2014, 23(12): 5007-5019

Peng Shi, Yue Huang, Jinsheng Hong. Automated three-dimensional reconstruction and morphological analysis of dendritic spines based on semi-supervised learning. Biomedical Optics Express, 2014, 5( 5): 1541-1553

Peng Shi, Jinsheng Hong, Yue Huang, Zhenhuan Zhang, Mei Zhang, Lurong Zhang. Automated computational framework of blood vessel quantification in chick chorioallantoic membrane angiogenesis. Journal of Biomedical Optics, 2014,19(10):1060051-160059.

Yue Huang, Jun Zhang, Yunying Huang, An Automated Computational Framework for Retinal Vascular Network Labeling and Branching order Analysis, Microvascular Research, 2012, 84(2): 169-177.

Yue Huang, Xuezhi Sun, Guangshu Hu*, Yunying Huang, An automated approach for cerebral microvascularity labeling in microscopy images Microscopy research and techniques, 2012, 75(3):388-396

Yue Huang, Xuezhi Sun, Guangshu Hu, An Integrated Genetics Approach to identify Protein Signal Pathway of Alzheimer Disease. Computer Methods in biomechanics and Biomedical Engineering,.2011,14(4):371-378.

Yue Huang, Xuezhi Sun, Guangshu Hu, An Automatic Integrated Approach for Stained Neuron Detection in Studying Neuron Migration, Microscopy Research and Techniques, 2010, 73(2):109-118.

Yue Huang, Xiaobo Zhou, Zheng Xia, Marta Lipinski, Benchun Miao, Alexei Detergev, Guangshu Hu,Junying Yuan, Stephen Wong. A computational approach for studying neuron morphology, Journal of Neuroscience Methods, 2010, 190(2):299-309.

 
Conferences
2019

Wu Wang, Weihong Zeng, Yue Huang, Xinghao Ding, John Paisley, Deep blind Hyperspectral Image Fusion, ICCV 2019

Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wenbing Huang, Xinghao Ding, Yue Huang, Junzhou Huang, Unsupervised Adversarial Graph Alignment with Graph Embedding, https://arxiv.org/abs/1907.00544

Xueyang Fu, Zihuang Lin, Yue Huang, Xinghao Ding, A Variational Pan-Sharpening with Local Gradient Constraints, CVPR 2019

Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang*, Tingyang Xu*, Junzhou Huang, Progressive Feature Alignment for Unsupervised Domain Adaptation, CVPR 2019

2018

Chaoqi Chen, Weiping Xie, Yue Huang, Xian Yu and Xinghao Ding, Weakly-Supervised Man-Made Object Recognition in Underwater Optimal Image through Deep Domain Adaptation, ICONIP 2018

Baolin Du, Qi Qi, Mingyong Zhuang, Yue Huang and Xinghao Ding, Age estimation from MR images via 3D convolutional neural network and densely connect, ICONIP 2018

Huafeng Wu, Yawen Wu, Liyan Sun, Congbo Cai, Yue Huang and Xinghao Ding, A deep ensemble network for compressed sensing MRI, ICONIP 2018

Qi Qi, Baolin Du, Han Zheng, Yue Huang, Xinghao Ding,Breast Cancer Histopathological Image Classification via Deep Active Learning and Confidence Boosting, ICANN 2018

Zhiwen Fan, Huafeng Wu, Xueyang Fu, Yue Huang, Xinghao Ding,Residual-Guide Feature Fusion Network for Single Image Deraining, ACM MM 2018

Zhiwen Fan, Liyan Sun, Xinghao Ding, Yue Huang, Congbo Cai, John Paisley, A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI, IEEE ECCV 2018

Xiangrui Xing, Xian Yu, Wenao Ma, Yue Huang, Delu Zeng, Xinghao Ding, BINDCTNET: A Simple Binary DCT Network for Image Classification, IEEE ICASSP 2018

Xian Yu, Xiangrui Xing, Han Zheng, Xueyang Fu, Yue Huang*, Xinghao Ding, Man-made Object Recognition from Underwater Optical Images using Deep Learning and Transfer Learning, IEEE ICASSP 2018

Xinghao Ding, Zhirui Lin, Fujin He, Yu Wang, Yue Huang*, A Deeply-recursive Convolutional Neural Network for Crowd Counting. IEEE ICASSP 2018

Liyan Sun, Zhiwen Fan, Xinghao Ding, Yue Huang, John Paisley, Compressed Sensing MRI Using a Recursive Dilated network, AAAI 2018

2017

Wenlei Wu, Zhaohang Lin, Xinghao Ding and Yue Huang. A Simple Convolutional Transfer Neural Networks in Vision Tasks, ICONIP 2017.

Junfeng Yang, Xueyang Fu, Yuwen Hu, Yue Huang, Xinghao Ding, John Paisley, PanNet: A deep network architecture for pan-sharpening, IEEE ICCV 2017.

Liyan Sun, Yue Huang, Congbo Cai, Xinghao Ding, Compressed Sensing MRI using Total Variation Regulalization with K-space decomposition, IEEE ICIP 2017.

Yunshu Chen, Yue Huang, Xinghao Ding, Camera model identification with residual neural network, IEEE ICIP 2017.

Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding and John Paisley. Removing Rain from Single Images via a Deep Detail Network. IEEE CVPR 2017.

Yue Huang, Han Zheng, Chi Liu, Gustavo Rohde, Delu Zeng, Jiaqi Wang, Xinghao Ding, Epithelium-stroma classification in histopathological images via convolutional neural networks and self-taught learning. IEEE ICASSP 2017.

2016 and previous

Chi Liu, Yue Huang, Ligong Han, John A. Ozolek, Gustavo K. Rohde Hierarchical Feature Extraction for Nuclear Morphometry-based Cancer Diagnosis, MICCAI 2016, workshops on Labels.

Liron Pantanowitz, Chi Liu, Yue Huang, Huazhang Guo, Gustavo K. Rohde, Impact of Altering Image Paramaters on Image Analysis Data Quality, Pathological Informatics Summit 2016.

Chi Liu, Yue Huang, Ligong Han, John A. Ozolek, Gustavo K. Rohde, Hierarchical feature extraction for diagnosis of thyroid follicular lesions from cell nuclei morphology, Pathological Informatics Summit 2016

Xueyang Fu, Delu Zeng, Yue Huang, Xiao-Ping Zhang and Xinghao Ding. A weighted variational model for simultaneous reflectance and illumination estimation”, IEEE CVPR 2016.

Yiyong Jiang, Xinghao Ding, Delu Zeng, Yue Huang, John Paisley, Pan-sharpening with a Hyper-Laplacian Penalty, IEEE ICCV 2015

Xinghao Ding, Zheng Zhang, Xin Chen, Yue Huang. A novel pooling strategy for full reference image quality assessment based on harmonic means. IEEE ICASSP 2015.

Yiyong Jiang, Liqin Chen, Wei Wang, Xinghao Ding, Yue Huang, A compressed sensing-based Pan-Sharpening using joint data fidelity and blind blurring kernel estimation, IEEE International Conference on Image Processing, IEEE ICIP 2014

Xueyang Fu, Peixian Zhuang, Yue Huang, Yinghao Liao, Xiao-ping Zhang, Xinghao Ding, A retinex-based enhancing approach for single underwater image, IEEE ICIP 2014

Yue Huang, Xinghao Ding, Single-trial Event-related Potentials Denoising based on Collaborative Filtering in Transform Domain, ACM ICIMCS 2014

Xueyang Fu, Peixian Zhuang, Minghui Liwang, Yue Huang, Xinghao Ding, A retinex-based enhancing approach for single underwater image, IEEE ICASSP 2014

X. Ding, Y. Jiang, Y. Huang and J. Paisley. Pan-sharpening with a Bayesian nonparametric dictionary learning model, Artificial Intelligence and Statistics (AISTATS 2014), Reykjavik, Iceland.

Xueyang Fu, Yue Huang, Delu Zeng, Xiao-ping Zhang, Xinghao Ding, A fusion-based enhancing approach for single sandstorm image, IEEE MMSP 2014

Xueyang Fu, Delu Zeng, Yue Huang, Xinghao Ding , Xiao-Ping Zhang,A variational framework for single low light image enhancement using bright channel prior, IEEE GlobalSIP 2013

Yue Huang, Jun Zhang, Delu Zeng, Xinghao Ding, Dandan Zhang, Qingfeng Cai, Single-trial event-related potentials classification via a discriminative dictionary learning scheme. ICONIP 2013

X. Ding, J. Paisley, Y. Huang, X. Chen, F. Huang, and X. Zhang (2013). Compressed sensing MRI with Bayesian dictionary learning, IEEE ICIP 2013, Melbourne, Australia. (Top 10% Paper Award)

Jin Xie, Yue Huang, John Paisley, Xinghao Ding, and Xiao-ping Zhang (2013). Pan-sharpening based on nonparametric Bayesian adaptive dictionary learning, IEEE ICIP 2013, Melbourne, Australia.

Yue Huang, Xiaobo Zhou, Zheng Xia, Marta Lipinski, Benchun Miao, Alexei Detergev, Guangshu Hu, Junying Yuan, Stephen Wong. A novel image based system biology approach for Alzheimer's disease. IEEE LISSA,2009,p129-32, April, Bethesda, Maryland

 

Academic Activities:

 

Co-authors and friends: