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2020 – today
- 2023
[j76]Chao Ma, Tianjun Wang, Le Zhang, Zhiguang Cao, Yue Huang, Xinghao Ding:
Distributed representation learning with skip-gram model for trained random forests. Neurocomputing 551: 126434 (2023)- [j75]Changxing Jing
, Lexing Huang, Senlin Cai, Yihong Zhuang, Zhenlong Xiao, Yue Huang, Xinghao Ding:
Interclass Similarity Transfer for Imbalanced Aerial Scene Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j74]Ying Xu, Liangchao Shi, Chuyang Lin, Senlin Cai, Wei Lin, Yue Huang, Xinghao Ding:
A Contrastive-Based Adversarial Training Algorithm for HRRP Target Recognition. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j73]Yijin Zhong, Wei Lin, Ying Xu, Lexing Huang, Yue Huang, Xinghao Ding:
Contrastive Learning for Radar HRRP Recognition With Missing Aspects. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j72]Changxing Jing, Yan Huang, Yihong Zhuang, Liyan Sun, Zhenlong Xiao, Yue Huang, Xinghao Ding:
Exploring personalization via federated representation Learning on non-IID data. Neural Networks 163: 354-366 (2023) - [j71]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 Trans. Pattern Anal. Mach. Intell. 45(3): 3677-3694 (2023) - [j70]Yijin Mao, Xiaotong Tu, Saqlain Abbas, Hao Liang, Yue Huang, Xinghao Ding:
Adaptive nonlinear group delay mode estimation. Signal Process. 212: 109181 (2023) - [j69]Chuchu He, Yunshu Chen, Jie Pan, Yue Huang, Xiaotong Tu, Xinghao Ding:
Enhanced features in image manipulation detection. Signal Process. Image Commun. 116: 116983 (2023) - [j68]Wei Lin, Xiaoyu Liu, Yihong Zhuang, Xinghao Ding, Xiaotong Tu, Yue Huang, Huanqiang Zeng:
Unsupervised Video-Based Action Recognition With Imagining Motion and Perceiving Appearance. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2245-2258 (2023) - [j67]Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding:
Unpaired Speckle Extraction for SAR Despeckling. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j66]Wei Lin, Xinghao Ding, Yue Huang, Huanqiang Zeng:
Self-Supervised Video-Based Action Recognition With Disturbances. IEEE Trans. Image Process. 32: 2493-2507 (2023) - [j65]Yiyi Zhou, Rongrong Ji, Gen Luo, Xiaoshuai Sun, Jinsong Su, Xinghao Ding, Chia-Wen Lin, Qi Tian:
A Real-Time Global Inference Network for One-Stage Referring Expression Comprehension. IEEE Trans. Neural Networks Learn. Syst. 34(1): 134-143 (2023) - [j64]Wu Wang, Xueyang Fu, Weihong Zeng, Liyan Sun, Ronghui Zhan, Yue Huang, Xinghao Ding:
Enhanced Deep Blind Hyperspectral Image Fusion. IEEE Trans. Neural Networks Learn. Syst. 34(3): 1513-1523 (2023) - [c83]Huangxing Lin, Yihong Zhuang, Xinghao Ding, Delu Zeng, Yue Huang, Xiaotong Tu, John W. Paisley:
Self-Supervised Image Denoising Using Implicit Deep Denoiser Prior. AAAI 2023: 1586-1594 - [c82]Zhenqi Fu, Yan Yang, Xiaotong Tu, Yue Huang, Xinghao Ding, Kai-Kuang Ma:
Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances. CVPR 2023: 22252-22261 - [i53]Hao Liang, Guanxing Zhou, Xiaotong Tu, Andreas Jakobsson, Xinghao Ding, Yue Huang:
Learning an Interpretable End-to-End Network for Real-Time Acoustic Beamforming. CoRR abs/2306.10772 (2023) - [i52]Zhijie Rao, Jingcai Guo, Luyao Tang, Yue Huang, Xinghao Ding, Song Guo:
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection. CoRR abs/2307.01750 (2023) - [i51]Jian Xu, Shian Du, Junmei Yang, Xinghao Ding, John W. Paisley, Delu Zeng:
Double Normalizing Flows: Flexible Bayesian Gaussian Process ODEs Learning. CoRR abs/2309.09222 (2023) - 2022
- [j63]Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Zhong Chen, Guisheng Wang, Yizhou Yu, John W. Paisley:
Few-shot medical image segmentation using a global correlation network with discriminative embedding. Comput. Biol. Medicine 140: 105067 (2022) - [j62]Chenxin Li, Xin Lin, Yijin Mao, Wei Lin, Qi Qi, Xinghao Ding, Yue Huang, Dong Liang, Yizhou Yu:
Domain generalization on medical imaging classification using episodic training with task augmentation. Comput. Biol. Medicine 141: 105144 (2022) - [j61]Yue Huang, Yi Wen, Liangchao Shi, Xinghao Ding:
Recognition-Aware HRRP Generation With Generative Adversarial Network. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j60]Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding:
Self-Supervised SAR Despeckling Powered by Implicit Deep Denoiser Prior. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j59]Liangchao Shi, Zhehan Liang, Yi Wen, Yihong Zhuang, Yue Huang, Xinghao Ding:
One-Shot HRRP Generation for Radar Target Recognition. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j58]Wu Wang, Weihong Zeng, Yue Huang, Xinghao Ding:
Deep Multiscale Feedback Network for Hyperspectral Image Fusion. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j57]Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li:
Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge. Medical Image Anal. 81: 102528 (2022) - [j56]Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu:
Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation. Neural Comput. Appl. 34(4): 3151-3164 (2022) - [j55]Liyan Sun, Jianxiong Wu, Xinghao Ding, Yue Huang, Zhong Chen, Guisheng Wang, Yizhou Yu:
A teacher-student framework for liver and tumor segmentation under mixed supervision from abdominal CT scans. Neural Comput. Appl. 34(19): 16547-16561 (2022) - [j54]Xinghao Ding, Hao Liang, Andreas Jakobsson, Xiaotong Tu, Yue Huang:
High-resolution source localization exploiting the sparsity of the beamforming map. Signal Process. 192: 108377 (2022) - [j53]Zhenqi Fu, Xueyang Fu, Yue Huang, Xinghao Ding:
Twice Mixing: A rank learning based quality assessment approach for underwater image enhancement. Signal Process. Image Commun. 102: 116622 (2022) - [j52]Xiaopeng Lin, Guanxing Zhou, Xiaotong Tu, Yue Huang, Xinghao Ding:
Two-Level Consistency Metric for Infrared and Visible Image Fusion. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j51]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. Intell. Transp. Syst. 23(4): 2991-2999 (2022) - [j50]Yunlong Zhang, Xin Lin, Yihong Zhuang, Liyan Sun, Yue Huang, Xinghao Ding, Guisheng Wang, Lin Yang, Yizhou Yu:
Harmonizing Pathological and Normal Pixels for Pseudo-Healthy Synthesis. IEEE Trans. Medical Imaging 41(9): 2457-2468 (2022) - [j49]Xueyang Fu, Menglu Wang, Xiangyong Cao, Xinghao Ding, Zheng-Jun Zha:
A Model-Driven Deep Unfolding Method for JPEG Artifacts Removal. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6802-6816 (2022) - [c81]Zhenqi Fu, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang, Xinghao Ding:
Unsupervised Underwater Image Restoration: From a Homology Perspective. AAAI 2022: 643-651 - [c80]Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao:
Knowledge Condensation Distillation. ECCV (11) 2022: 19-35 - [c79]Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma:
Uncertainty Inspired Underwater Image Enhancement. ECCV (18) 2022: 465-482 - [c78]Ruizhe Chen, Zhenqi Fu, Yue Huang, En Cheng, Xinghao Ding:
A Robust Object Segmentation Network for UnderWater Scenes. ICASSP 2022: 2629-2633 - [c77]Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding:
Underwater Image Enhancement Via Learning Water Type Desensitized Representations. ICASSP 2022: 2764-2768 - [c76]Shu Chai, Zhenqi Fu, Yue Huang, Xiaotong Tu, Xinghao Ding:
Unsupervised and Untrained Underwater Image Restoration Based on Physical Image Formation Model. ICASSP 2022: 2774-2778 - [c75]Lexing Huang, Senlin Cai, Yihong Zhuang, Changxing Jing, Yue Huang, Xiaotong Tu, Xinghao Ding:
A Two-Stage Contrastive Learning Framework For Imbalanced Aerial Scene Recognition. ICASSP 2022: 3518-3522 - [c74]Hao Liang, Xinghao Ding, Andreas Jakobsson, Xiaotong Tu, Yue Huang:
Adaptive Variational Nonlinear Chirp Mode Decomposition. ICASSP 2022: 5632-5636 - [c73]Xiaopeng Lin, Guanxing Zhou, Weihong Zeng, Xiaotong Tu, Yue Huang, Xinghao Ding:
A Self-Supervised Method for Infrared and Visible Image Fusion. ICIP 2022: 2376-2380 - [c72]Guanxing Zhou, Yihong Zhuang, Xinghao Ding, Yue Huang, Saqlain Abbas, Xiaotong Tu:
A Simple Siamese Framework for Vibration Signal Representations. ICIP 2022: 2456-2460 - [c71]Yihong Zhuang, Changxing Jing, Senlin Cai, Lexing Huang, Yue Huang, Xiaotong Tu, Xinghao Ding:
A Hybrid Framework Based on Classifier Calibration for Imbalanced Aerial Scene Recognition. ICONIP (3) 2022: 110-121 - [c70]Zhiyuan Ding, Qi Dong, Haote Xu, Chenxin Li, Xinghao Ding, Yue Huang:
Unsupervised Anomaly Segmentation for Brain Lesions Using Dual Semantic-Manifold Reconstruction. ICONIP (3) 2022: 133-144 - [i50]Yunlong Zhang, Xin Lin, Yihong Zhuang, Liyan Sun, Yue Huang, Xinghao Ding, Guisheng Wang, Lin Yang, Yizhou Yu:
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis. CoRR abs/2203.15347 (2022) - [i49]Guanxing Zhou, Hao Liang, Xinghao Ding, Yue Huang, Xiaotong Tu, Saqlain Abbas:
Acoustic-Net: A Novel Neural Network for Sound Localization and Quantification. CoRR abs/2203.16988 (2022) - [i48]Haote Xu, Yunlong Zhang, Liyan Sun, Chenxin Li, Yue Huang, Xinghao Ding:
AFSC: Adaptive Fourier Space Compression for Anomaly Detection. CoRR abs/2204.07963 (2022) - [i47]Changxing Jing, Yan Huang, Yihong Zhuang, Liyan Sun, Yue Huang, Zhenlong Xiao, Xinghao Ding:
A Closer Look at Personalization in Federated Image Classification. CoRR abs/2204.11841 (2022) - [i46]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. CoRR abs/2206.02355 (2022) - [i45]Chenxin Li, Mingbao Lin, Zhiyuan Ding, Nie Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Liujuan Cao:
Knowledge Condensation Distillation. CoRR abs/2207.05409 (2022) - [i44]Zhenqi Fu, Wu Wang, Yue Huang, Xinghao Ding, Kai-Kuang Ma:
Uncertainty Inspired Underwater Image Enhancement. CoRR abs/2207.09689 (2022) - [i43]Yiyang Liu, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang:
Hint-dynamic Knowledge Distillation. CoRR abs/2211.17059 (2022) - 2021
- [j48]Xueyang Fu, Qi Qi, Zheng-Jun Zha, Xinghao Ding, Feng Wu, John W. Paisley:
Successive Graph Convolutional Network for Image De-raining. Int. J. Comput. Vis. 129(5): 1691-1711 (2021) - [j47]Yunlong Zhang, Changxing Jing, Huangxing Lin, Chaoqi Chen, Yue Huang, Xinghao Ding, Yang Zou:
Hard class rectification for domain adaptation. Knowl. Based Syst. 222: 107011 (2021) - [j46]Qi Qi, Xin Lin, Chaoqi Chen, Weiping Xie, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Curriculum Feature Alignment Domain Adaptation for Epithelium-Stroma Classification in Histopathological Images. IEEE J. Biomed. Health Informatics 25(4): 1163-1172 (2021) - [j45]Xinghao Ding, Fujin He, Zhirui Lin, Yu Wang, Huimin Guo, Yue Huang:
Crowd Density Estimation Using Fusion of Multi-Layer Features. IEEE Trans. Intell. Transp. Syst. 22(8): 4776-4787 (2021) - [j44]Xueyang Fu, Wu Wang, Yue Huang, Xinghao Ding, John W. Paisley:
Deep Multiscale Detail Networks for Multiband Spectral Image Sharpening. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2090-2104 (2021) - [c69]Xueyang Fu, Qi Qi, Zheng-Jun Zha, Yurui Zhu, Xinghao Ding:
Rain Streak Removal via Dual Graph Convolutional Network. AAAI 2021: 1352-1360 - [c68]Zhehan Liang, Yu Rong, Chenxin Li, Yunlong Zhang, Yue Huang, Tingyang Xu, Xinghao Ding, Junzhou Huang:
Unsupervised Large-Scale Social Network Alignment via Cross Network Embedding. CIKM 2021: 1008-1017 - [c67]Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu:
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. CVPR 2021: 12576-12585 - [c66]Yiyi Zhou, Tianhe Ren, Chaoyang Zhu, Xiaoshuai Sun, Jianzhuang Liu, Xinghao Ding, Mingliang Xu, Rongrong Ji:
TRAR: Routing the Attention Spans in Transformer for Visual Question Answering. ICCV 2021: 2054-2064 - [c65]Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu:
Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection. ICCV 2021: 2683-2692 - [c64]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: 61-65 - [c63]Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Noise2Grad: Extract Image Noise to Denoise. IJCAI 2021: 830-836 - [c62]Liyan Sun, Hongyu Huang, Xinghao Ding, Yue Huang, Xiaoqing Liu, Yizhou Yu:
Fast Magnetic Resonance Imaging on Regions of Interest: From Sensing to Reconstruction. MICCAI (6) 2021: 97-106 - [c61]Yunlong Zhang, Chenxin Li, Xin Lin, Liyan Sun, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Generator Versus Segmentor: Pseudo-healthy Synthesis. MICCAI (6) 2021: 150-160 - [i42]Zhenqi Fu, Xueyang Fu, Yue Huang, Xinghao Ding:
Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image Enhancement. CoRR abs/2102.00670 (2021) - [i41]Zhenqi Fu, Xiaopeng Lin, Wu Wang, Yue Huang, Xinghao Ding:
Underwater Image Enhancement via Learning Water Type Desensitized Representations. CoRR abs/2102.00676 (2021) - [i40]Chenxin Li, Yunlong Zhang, Jiongcheng Li, Yue Huang, Xinghao Ding:
Unsupervised Anomaly Segmentation using Image-Semantic Cycle Translation. CoRR abs/2103.09094 (2021) - [i39]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. CoRR abs/2103.09097 (2021) - [i38]Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu:
I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. CoRR abs/2103.13757 (2021) - [i37]Chenxin Li, Wenao Ma, Liyan Sun, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu:
Hierarchical Deep Network with Uncertainty-aware Semi-supervised Learning for Vessel Segmentation. CoRR abs/2105.14732 (2021) - [i36]Chenxin Li, Qi Qi, Xinghao Ding, Yue Huang, Dong Liang, Yizhou Yu:
Domain Generalization on Medical Imaging Classification using Episodic Training with Task Augmentation. CoRR abs/2106.06908 (2021) - [i35]Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Xinghao Ding, Yongjian Wu, Feiyue Huang, Yue Gao, Rongrong Ji:
Towards Language-guided Visual Recognition via Dynamic Convolutions. CoRR abs/2110.08797 (2021) - [i34]Huangxing Lin, Yihong Zhuang, Delu Zeng, Yue Huang, Xinghao Ding, John W. Paisley:
Self-Verification in Image Denoising. CoRR abs/2111.00666 (2021) - 2020
- [j43]Yi Wen, Liangchao Shi, Xian Yu, Yue Huang, Xinghao Ding:
HRRP Target Recognition With Deep Transfer Learning. IEEE Access 8: 57859-57867 (2020) - [j42]Huangxing Lin, Changxing Jing, Yue Huang, Xinghao Ding:
A2Net: Adjacent Aggregation Networks for Image Raindrop Removal. IEEE Access 8: 60769-60779 (2020) - [j41]Liyan Sun, Yawen Wu, Binglin Shu, Xinghao Ding, Congbo Cai, Yue Huang, John W. Paisley:
A dual-domain deep lattice network for rapid MRI reconstruction. Neurocomputing 397: 94-107 (2020) - [j40]Xueyang Fu, Qi Sun, Yue Huang, Xinghao Ding:
基于深度邻近连接网络的单幅图像去雨方法 (Single Image De-raining Method Based on Deep Adjacently Connected Networks). 计算机科学 47(2): 106-111 (2020) - [j39]Chaoqi Chen, Weiping Xie, Yi Wen, Yue Huang, Xinghao Ding:
Multiple-source domain adaptation with generative adversarial nets. Knowl. Based Syst. 199: 105962 (2020) - [j38]Peixian Zhuang, Xinghao Ding:
Underwater image enhancement using an edge-preserving filtering Retinex algorithm. Multim. Tools Appl. 79(25-26): 17257-17277 (2020) - [j37]Peixian Zhuang, Xinghao Ding:
Correction to: Underwater image enhancement using an edge-preserving filtering Retinex algorithm. Multim. Tools Appl. 79(25-26): 17279 (2020) - [j36]Huangxing Lin, Yanlong Li, Xueyang Fu, Xinghao Ding, Yue Huang, John W. Paisley:
Rain O'er Me: Synthesizing Real Rain to Derain With Data Distillation. IEEE Trans. Image Process. 29: 7668-7680 (2020) - [j35]Liyan Sun, Jiexiang Wang, Yue Huang, Xinghao Ding, Hayit Greenspan, John W. Paisley:
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Detection. IEEE J. Biomed. Health Informatics 24(8): 2303-2314 (2020) - [j34]Yue Huang, Zhenwei Liu, Minghui Jiang, Xian Yu, Xinghao Ding:
Cost-Effective Vehicle Type Recognition in Surveillance Images With Deep Active Learning and Web Data. IEEE Trans. Intell. Transp. Syst. 21(1): 79-86 (2020) - [j33]Liyan Sun, Wenao Ma, Xinghao Ding, Yue Huang, Dong Liang, John W. Paisley:
A 3D Spatially Weighted Network for Segmentation of Brain Tissue From MRI. IEEE Trans. Medical Imaging 39(4): 898-909 (2020) - [j32]Xueyang Fu, Borong Liang, Yue Huang, Xinghao Ding, John W. Paisley:
Lightweight Pyramid Networks for Image Deraining. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1794-1807 (2020) - [j31]Xinghao Ding, Jitian Wang, Chengwei Dong, Yue Huang:
Vehicle Type Recognition From Surveillance Data Based on Deep Active Learning. IEEE Trans. Veh. Technol. 69(3): 2477-2486 (2020) - [c60]Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou:
Harmonizing Transferability and Discriminability for Adapting Object Detectors. CVPR 2020: 8866-8875 - [c59]Yiyi Zhou, Rongrong Ji, Xiaoshuai Sun, Gen Luo, Xiaopeng Hong, Jinsong Su, Xinghao Ding, Ling Shao:
K-armed Bandit based Multi-Modal Network Architecture Search for Visual Question Answering. ACM Multimedia 2020: 1245-1254 - [i33]Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou:
Harmonizing Transferability and Discriminability for Adapting Object Detectors. CoRR abs/2003.06297 (2020) - [i32]Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Víctor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen Yang, Lei Li:
Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge. CoRR abs/2006.12434 (2020) - [i31]Wenao Ma, Shuang Yu, Kai Ma, Jiexiang Wang, Xinghao Ding, Yefeng Zheng:
Multi-Task Neural Networks with Spatial Activation for Retinal Vessel Segmentation and Artery/Vein Classification. CoRR abs/2007.09337 (2020) - [i30]Yunlong Zhang, Changxing Jing, Huangxing Lin, Chaoqi Chen, Yue Huang, Xinghao Ding, Yang Zou:
Hard Class Rectification for Domain Adaptation. CoRR abs/2008.03455 (2020) - [i29]Yunlong Zhang, Xin Lin, Liyan Sun, Yihong Zhuang, Yue Huang, Xinghao Ding, Xiaoqing Liu, Yizhou Yu:
Generator Versus Segmentor: Pseudo-healthy Synthesis. CoRR abs/2009.05722 (2020) - [i28]Liyan Sun, Jianxiong Wu, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu:
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision. CoRR abs/2010.12219 (2020) - [i27]Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding, Yizhou Yu, Xiaoqing Liu, John W. Paisley:
Adaptive noise imitation for image denoising. CoRR abs/2011.14512 (2020) - [i26]Liyan Sun, Chenxin Li, Xinghao Ding, Yue Huang, Guisheng Wang, Yizhou Yu:
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding. CoRR abs/2012.05440 (2020)
2010 – 2019
- 2019
- [j30]Xinghao Ding, Yunshu Chen, Zhen Tang, Yue Huang:
Camera Identification Based on Domain Knowledge-Driven Deep Multi-Task Learning. IEEE Access 7: 25878-25890 (2019) - [j29]Chen Xuheng, Mingyong Zhuang, Congbo Cai, Yue Huang, Xinghao Ding:
Accurate Infant Brain MRI Segmentation via 3D Dense-Fuse Convolution Neural Networks. Aust. J. Intell. Inf. Process. Syst. 15(3): 1-7 (2019) - [j28]Peixian Zhuang, Xinghao Ding:
Divide-and-conquer framework for image restoration and enhancement. Eng. Appl. Artif. Intell. 85: 830-844 (2019) - [j27]Shulian Cai, Jiabin Huang, Jing Chen, Yue Huang, Xinghao Ding, Delu Zeng:
Prominent edge detection with deep metric expression and multi-scale features. Multim. Tools Appl. 78(20): 29121-29135 (2019) - [j26]Peixian Zhuang, Xiaowen Zhu, Xinghao Ding:
MRI reconstruction with an edge-preserving filtering prior. Signal Process. 155: 346-357 (2019) - [j25]Peixian Zhuang, Qingshan Liu, Xinghao Ding:
Pan-GGF: A probabilistic method for pan-sharpening with gradient domain guided image filtering. Signal Process. 156: 177-190 (2019) - [j24]Liyan Sun, Zhiwen Fan, Xueyang Fu, Yue Huang, Xinghao Ding, John William Paisley:
A Deep Information Sharing Network for Multi-Contrast Compressed Sensing MRI Reconstruction. IEEE Trans. Image Process. 28(12): 6141-6153 (2019) - [j23]Qi Qi, Yanlong Li, Jitian Wang, Han Zheng, Yue Huang, Xinghao Ding, Gustavo Kunde Rohde:
Label-Efficient Breast Cancer Histopathological Image Classification. IEEE J. Biomed. Health Informatics 23(5): 2108-2116 (2019) - [c58]