Journals
2023
2022
Xiaopeng Lin, Guanxing Zhou, Xiaotong Tu, Yue Huang*, Xinghao Ding, Two-level Consistency Metric for Infrared and Visible Image Fusion, IEEE Transactions on Instrumentation & Measurement (IEEE TIM), accepted.
Chaoqi Chen, Jiongcheng Li, Hong-Yu Zhou, Xiaoguang Han, Yue Huang*, Xinghao Ding, Yizhou Yu*; Relation Matters: Foreground-aware Graph-based Relational Reasoning for Domain Adaptive Object Detection, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted.
2021
Yunlong Zhang, Xin Lin, Yihong Zhuang, Liyan Sun, Xinghao Ding, Yue Huang*, Guisheng Wang, Yizhou Yu, Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis, IEEE Trans. Medical Imaging
Chenxin Li; Xin Lin; Yijin Mao; Wei Lin; Qi Qi; Xinghao Ding; YUE HUANG; Liang Dong; Yizhou Yu, Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation, Computers in Biology and Medicine, accepted.
Yunlong Zhang, Changxing Jing, Huangxing Lin, Chaoqi Chen, Yue Huang*, Xinghao Ding, Yang Zou, Hard class rectification for domain adaptation, knowledge-based systems, accepted.
Yue Huang, Yi Wen, Liangchao Shi, Xinghao Ding*, Recognition-aware HRRP Generation with Generative Adversarial Network， IEEE Geoscience and remote sensing letters, accepted.
Liangchao Shi, Zhehan Liang, Yi Wen, Yihong Zhuang, Yue Huang*, Xinghao Ding, One-shot HRRP Generation for Radar Target Recognition, IEEE Geoscience and remote sensing letters, accepted
2020
Yue Huang, Borong Liang, Weiping Xie, Yinghao Liao, Zhenyu Kuang, Yihong Zhuang, Xinghao Ding*, Dual Domain Multi-Task Model for Vehicle Re-identification, IEEE Trans. Intelligent Transportation Systems, accepted.
Qi Qi, Xin Lin, Chaoqi Chen, Weiping Xie, Xinghao Ding, Yue Huang*, Xiaoqing Liu, Yizhou Yu, Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images, IEEE Journal of Biomedical and Health Informatics, 2021, 25(4): 1163-1172.
Chaoqi Chen, Weiping Xie, Yi Wen, Yue Huang*, Xinghao Ding, Multiple-Source Domain Adaptation with Generative Adversarial Nets, Knowledge based systems, accepted.
Xinghao Ding, Fujin He, Zhirui Lin, Yu Wang, Yue Huang*, Crowd Density Estimation using Fusion of Multi-layer Features, IEEE Trans. Intelligent Transportation Systems, 10.1109/TITS.2020.2983475
Xueyang Fu, Wu Wang, Yue Huang, Xinghao Ding* and John Paisley. Deep multi-scale detail networks for multi-band spectral image sharpening, IEEE Transactions on Neural Networks and Learning Systems, accepted.
Liyan Sun, Jiexiang Wang, Yue Huang, Xinghao Ding*, Hayit Greenspan and John Paisley. An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection. IEEE Journal of Biomedical and Health Informatics, accepted.
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, 2020, 39(4): 898 - 909
Liyan Sun, Binlin Shu, Xinghao Ding*, Congbo Cai, Yue Huang and John Paisley. A Dual-domain Deep Lattice Network for Rapid MRI Reconstruction. Neurocomputing, accepted.
Tahsin Kurc, Spyridon Bakas, Xuhua Ren, Aditya Bagari, Alexandre Momeni, Yue Huang, Lichi Zhang, Ashish Kumar, Marc Thibault, Qi Qi, Qian Wang, Avinash Kori, Olivier Gevaert, Yunlong Zhang, Dinggang Shen, Mahendra Khened, Xinghao Ding, Ganapathy Krishnamurthi, Jayashree Kalpathy-Cramer, James Davis, Tianhao Zhao, Rajarsi Gupta, Joel Saltz, Keyvan Farahani, Segmentation and Classification in Digital Pathology for Glioma Research: Challenges and Deep Learning Approaches, Frontiers in Neuroscience, accepted. (paper for MICCAI CPM18 challenge)
Xinghao Ding, Jitian Wang, Chengwei Dong, Yue Huang*, Vehicle type recognition from surveillance data via deep active learning. in IEEE Trans. Vehicular Technology, 2020, 69(3):2477-2486.
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, 2020，21(1): 79-86
2019
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.
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, 2019, 23(5):2108 - 2116.
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
2022
Xiaopeng Lin, Guanxing Zhou, Weihong Zeng, Xiaotong Tu, Yue Huang, Xinghao Ding, A Self-Supervised method for infrared and visible image fusion, ICIP 2022
Chenxin Li, Zhiyuan Ding, Yue Huang, Xinghao Ding, Knowledge Condensation Distillation, ECCV 2022
Zhenqi Fu, Xinghao Ding, Yue Huang, et al. Uncertainty Inspired Underwater Image Enhancement, ECCV 2022
Shu Chai, Zhenqi Fu, Yue Huang, Xiaotong Tu, Xinghao Ding, UNSUPERVISED AND UNTRAINED UNDERWATER IMAGE RESTORATION BASED ON PHYSICAL IMAGE FORMATION MODEL, ICASSP 2022
2021
Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Xinghao Ding, Yue Huang, Yizhou Yu, Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection, ICCV 2021
Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang, Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding, CIKM 2021
Yunlong Zhang, Chenxin Li, et.al, Generator Versus Segmentor: Pseudo-healthy Synthesis, MICCAI 2021
Liyan Sun, Hongyu Huang, et.al, Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction, MICCAI 2021
Chenxin Li, Yunlong Zhang, Zhehan Liang, Wenao Ma, Yue Huang, Xinghao Ding, CONSISTENT POSTERIOR DISTRIBUTIONS UNDER VESSEL-MIXING: A REGULARIZATION FOR CROSS-DOMAIN RETINAL ARTERY/VEIN CLASSIFICATION, ICIP 2021
Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Yizhou Yu, I^3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors, CVPR 2021
2020
Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang*, Qi Dou, Harmonizing Transferability and Discriminability for Adapting Object Detectors, CVPR 2020
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. codes
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
