default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDXinghao Ding
- > Home > Persons > Xinghao Ding
Publications
- 2024
[j85]Hongyang Zhang, Zhenyu Kuang
, Lidong Cheng, Yinhao Liu, Xinghao Ding, Yue Huang:
AIVR-Net: Attribute-based invariant visual representation learning for vehicle re-identification. Knowl. Based Syst. 289: 111455 (2024)- [j84]Chenyu Ma, Xiaotong Tu, Guanxing Zhou, Yue Huang, Xinghao Ding:
Source-free cross-domain fault diagnosis of rotating machinery using the Siamese framework. Knowl. Based Syst. 300: 112179 (2024) - [j83]Yonghua Zhang, Xiaotong Tu, Saqlain Abbas, Hao Liang, Yue Huang, Xinghao Ding:
Learning to sound imaging by a model-based interpretable network. Signal Process. 215: 109281 (2024) - [j82]Linyu Fan, Yingying Wang, Guoliang Hu, Feifei Li, Yuhang Dong, Hui Zheng, Changqing Lin, Yue Huang, Xinghao Ding:
Diffusion-Based Continuous Feature Representation for Infrared Small-Dim Target Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j81]Yingying Wang, Xuanhua He, Yuhang Dong, Yunlong Lin, Yue Huang, Xinghao Ding:
Cross-Modality Interaction Network for Pan-Sharpening. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [c108]Ge Meng, Jingjia Huang, Yingying Wang, Zhenqi Fu, Xinghao Ding, Yue Huang:
Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation. AAAI 2024: 4189-4197 - [c107]Xiaolu Chen, Haote Xu, Chenghao Deng, Xiaotong Tu, Xinghao Ding, Yue Huang:
Implicit Foreground-Guided Network for Anomaly Detection and Localization. ICASSP 2024: 2970-2974 - [c104]Haizhou Ding, Gang Yang, Xiaotong Tu, Yue Huang, Xinghao Ding:
S3AHI: Source-Free Domain Adaptive Small Object Detection with Slicing Aided Hyper Inference. IJCNN 2024: 1-8 - [c103]Canxing Lai, Xiaotong Tu, Andreas Jakobsson, Xinghao Ding, Yue Huang:
An Adaptive Spatio-Temporal Graph Structure Learning Model for Lithium-Ion Battery Pack State of Health Estimation. IJCNN 2024: 1-9 - [c102]Gang Yang, Haizhou Ding, Xiaotong Tu, Lexing Huang, Yue Huang, Xinghao Ding:
Class Incremental Aerial Scene Recognition Under Long-Tailed Distribution. IJCNN 2024: 1-6 - [i56]Zhenyu Kuang, Hongyang Zhang, Lidong Cheng, Yinhao Liu, Yue Huang, Xinghao Ding:
Unity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification. CoRR abs/2407.07351 (2024) - [i54]Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Xinghao Ding, Yue Huang:
Mixstyle-Entropy: Domain Generalization with Causal Intervention and Perturbation. CoRR abs/2408.03608 (2024) - 2023
- [j80]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) - [j79]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) - [j78]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) - [j77]Yuxuan Yuan, Zhijie Rao, Chuyang Lin, Yue Huang, Xinghao Ding:
Adaptive Ship Detection From Optical to SAR Images. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j76]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) - [j75]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) - [j74]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) - [j73]Yijin Mao, Xiaotong Tu, Saqlain Abbas, Hao Liang, Yue Huang, Xinghao Ding:
Adaptive nonlinear group delay mode estimation. Signal Process. 212: 109181 (2023) - [j72]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) - [j71]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) - [j70]Huangxing Lin, Yihong Zhuang, Yue Huang, Xinghao Ding:
Unpaired Speckle Extraction for SAR Despeckling. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j68]Wei Lin, Xinghao Ding, Yue Huang, Huanqiang Zeng:
Self-Supervised Video-Based Action Recognition With Disturbances. IEEE Trans. Image Process. 32: 2493-2507 (2023) - [j67]Zhenyu Kuang, Chuchu He, Yue Huang, Xinghao Ding, Huafeng Li:
Joint Image and Feature Levels Disentanglement for Generalizable Vehicle Re-identification. IEEE Trans. Intell. Transp. Syst. 24(12): 15259-15273 (2023) - [j65]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) - [j64]Huangxing Lin, Weihong Zeng, Yihong Zhuang, Xinghao Ding, Yue Huang, John W. Paisley:
Learning Rate Dropout. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9029-9039 (2023) - [c101]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 - [c100]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 - [c98]Yiyang Liu, Chenxin Li, Xiaotong Tu, Xinghao Ding, Yue Huang:
Hint-Dynamic Knowledge Distillation. ICASSP 2023: 1-5 - [c96]Xueye Chu, Zhenqi Fu, Shaocong Yu, Xiaotong Tu, Yue Huang, Xinghao Ding:
Underwater Image Enhancement and Super-Resolution Using Implicit Neural Networks. ICIP 2023: 1295-1299 - [c95]Chuchu He, Zhenyu Kuang, Yijin Zhong, Xinghao Ding, Yue Huang:
Radar HRRP Unseen Class Recognition Based on the Joint Dictionary Learning. ICIP 2023: 2520-2524 - [c94]Zhijie Rao, Luyao Tang, Yue Huang, Xinghao Ding:
Domain Generalized Object Detection with Triple Graph Reasoning Network. ICONIP (3) 2023: 314-327 - [c93]Zhijie Rao, Qi Dong, Chaoqi Chen, Yue Huang, Xinghao Ding:
Domain Generalization via Implicit Domain Augmentation. ICONIP (8) 2023: 437-448 - [c92]Yingying Wang, Yunlong Lin, Ge Meng, Zhenqi Fu, Yuhang Dong, Linyu Fan, Hedeng Yu, Xinghao Ding, Yue Huang:
Learning High-frequency Feature Enhancement and Alignment for Pan-sharpening. ACM Multimedia 2023: 358-367 - [c90]Guoqing Zheng, Zhenqi Fu, Xiaopeng Lin, Xueye Chu, Yue Huang, Xinghao Ding:
Infrared and Visible Image Fusion via Test-Time Training. PRCV (10) 2023: 77-88 - [c88]Lidong Cheng, Zhenyu Kuang, Hongyang Zhang, Xinghao Ding, Yue Huang:
Boosting Generalization Performance in Person Re-identification. PRCV (10) 2023: 174-185 - [c87]Jingjia Huang, Ge Meng, Yingying Wang, Yunlong Lin, Yue Huang, Xinghao Ding:
DP-INNet: Dual-Path Implicit Neural Network for Spatial and Spectral Features Fusion in Pan-Sharpening. PRCV (8) 2023: 268-279 - [c86]Yuhang Dong, Yingying Wang, Linyu Fan, Xinghao Ding, Yue Huang:
High-Resolution Feature Representation Driven Infrared Small-Dim Object Detection. PRCV (12) 2023: 315-327 - [c85]Jie Zhong, Xiaotong Tu, Yue Huang, Xinghao Ding:
AnoCSR-A Convolutional Sparse Reconstructive Noise-Robust Framework for Industrial Anomaly Detection. PRCV (5) 2023: 369-380 - [c84]Chuyang Lin, Senlin Cai, Hailiang Huang, Xinghao Ding, Yue Huang:
Adversarial Robustness via Multi-experts Framework for SAR Recognition with Class Imbalanced. PRCV (4) 2023: 405-417 - [c83]Ying Xu, Chuyang Lin, Yijin Zhong, Yue Huang, Xinghao Ding:
Recognizer Embedding Diffusion Generation for Few-Shot SAR Recognization. PRCV (4) 2023: 418-429 - [c82]Zhengpeng Lv, Yihong Zhuang, Gang Yang, Yue Huang, Xinghao Ding:
A Two-Stage Federated Learning Framework for Class Imbalance in Aerial Scene Classification. PRCV (4) 2023: 430-441 - [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) - 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) - [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) - [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
- [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) - [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 - [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) - [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) - [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 - [i33]Chaoqi Chen, Zebiao Zheng, Xinghao Ding, Yue Huang, Qi Dou:
Harmonizing Transferability and Discriminability for Adapting Object Detectors. CoRR abs/2003.06297 (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) - 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) - [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) - [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) - [c57]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: 627-636 - [c56]Xueyang Fu, Zihuang Lin, Yue Huang, Xinghao Ding:
A Variational Pan-Sharpening With Local Gradient Constraints. CVPR 2019: 10265-10274 - [c54]Fei Li, Hongyu Huang, Yawen Wu, Congbo Cai, Yue Huang, Xinghao Ding:
Lung Nodule Detection with a 3D ConvNet via IoU Self-normalization and Maxout Unit. ICASSP 2019: 1214-1218 - [c53]Weihong Zeng, Fei Li, Hongyu Huang, Yue Huang, Xinghao Ding:
Two-stream Multi-focus Image Fusion Based on the Latent Decision Map. ICASSP 2019: 1762-1766 - [c51]Wu Wang, Weihong Zeng, Yue Huang, Xinghao Ding, John W. Paisley:
Deep Blind Hyperspectral Image Fusion. ICCV 2019: 4149-4158 - [c49]Jie Pan, Yunshu Chen, Yue Huang, Xinghao Ding, En Cheng:
T-SAMnet: A Segmentation Driven Network for Image Manipulation Detection. ICONIP (5) 2019: 32-40 - [c48]Yan Luo, Mingyong Zhuang, Congbo Cai, Yue Huang, Xinghao Ding:
G-HAPNet: A Novel Structure for Single Image Super-Resolution. ICONIP (5) 2019: 57-64 - [c47]Mingyong Zhuang, Yan Luo, Xinghao Ding, Yue Huang, Yinghao Liao:
A Robustness and Low Bit-Rate Image Compression Network for Underwater Acoustic Communication. ICONIP (2) 2019: 106-116 - [c46]Huimin Guo, Fujin He, Xin Cheng, Xinghao Ding, Yue Huang:
Pay Attention to Deep Feature Fusion in Crowd Density Estimation. ICONIP (4) 2019: 363-370 - [c45]Liyan Sun, Zhiwen Fan, Xinghao Ding, Yue Huang, John W. Paisley:
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network. IPMI 2019: 492-504 - [c44]Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding:
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network. STACOM@MICCAI 2019: 254-262 - [i25]Huangxing Lin, Yanlong Li, Xinghao Ding, Weihong Zeng, Yue Huang, John W. Paisley:
Rain O'er Me: Synthesizing real rain to derain with data distillation. CoRR abs/1904.04605 (2019) - [i23]Chaoqi Chen, Weiping Xie, Tingyang Xu, Yu Rong, Wen-bing Huang, Xinghao Ding, Yue Huang, Junzhou Huang:
Unsupervised Adversarial Graph Alignment with Graph Embedding. CoRR abs/1907.00544 (2019) - [i21]Jiexiang Wang, Hongyu Huang, Chaoqi Chen, Wenao Ma, Yue Huang, Xinghao Ding:
Multi-sequence Cardiac MR Segmentation with Adversarial Domain Adaptation Network. CoRR abs/1910.12514 (2019) - [i20]Huangxing Lin, Weihong Zeng, Xinghao Ding, Yue Huang, Chenxi Huang, John W. Paisley:
Learning Rate Dropout. CoRR abs/1912.00144 (2019) - [i19]Huangxing Lin, Weihong Zeng, Xinghao Ding, Xueyang Fu, Yue Huang, John W. Paisley:
Noise2Blur: Online Noise Extraction and Denoising. CoRR abs/1912.01158 (2019) - 2018
- [j22]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. Intell. Transp. Syst. 19(9): 2913-2922 (2018) - [c42]Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley:
Compressed Sensing MRI Using a Recursive Dilated Network. AAAI 2018: 2444-2451 - [c41]Zhiwen Fan, Liyan Sun, Xinghao Ding, Yue Huang, Congbo Cai, John W. Paisley:
A Segmentation-Aware Deep Fusion Network for Compressed Sensing MRI. ECCV (6) 2018: 55-70 - [c40]Baolin Du, Qi Qi, Han Zheng, Yue Huang, Xinghao Ding:
Breast Cancer Histopathological Image Classification via Deep Active Learning and Confidence Boosting. ICANN (2) 2018: 109-116 - [c39]Xiangrui Xing, Xian Yu, Wenao Ma, Yue Huang, Delu Zeng, Xinghao Ding:
Bindctnet: A Simple Binary Dct Network for Image Classification. ICASSP 2018: 1278-1282 - [c38]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. ICASSP 2018: 1852-1856 - [c37]Xinghao Ding, Zhirui Lin, Fujin He, Yu Wang, Yue Huang:
A Deeply-Recursive Convolutional Network For Crowd Counting. ICASSP 2018: 1942-1946 - [c36]Huafeng Wu, Yawen Wu, Liyan Sun, Congbo Cai, Yue Huang, Xinghao Ding:
A Deep Ensemble Network for Compressed Sensing MRI. ICONIP (1) 2018: 162-171 - [c35]Chaoqi Chen, Weiping Xie, Yue Huang, Xian Yu, Xinghao Ding:
Weakly-Supervised Man-Made Object Recognition in Underwater Optimal Image Through Deep Domain Adaptation. ICONIP (5) 2018: 311-322 - [c34]Chao Wang, Yawen Wu, Xinghao Ding, Yue Huang, Congbo Cai:
High Efficient Reconstruction of Single-Shot Magnetic Resonance T_2 Mapping Through Overlapping Echo Detachment and DenseNet. ICONIP (6) 2018: 408-418 - [c33]Qi Qi, Baolin Du, Mingyong Zhuang, Yue Huang, Xinghao Ding:
Age Estimation from MR Images via 3D Convolutional Neural Network and Densely Connect. ICONIP (7) 2018: 410-419 - [c31]Zhiwen Fan, Huafeng Wu, Xueyang Fu, Yue Huang, Xinghao Ding:
Residual-Guide Network for Single Image Deraining. ACM Multimedia 2018: 1751-1759 - [i17]Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley:
A Deep Error Correction Network for Compressed Sensing MRI. CoRR abs/1803.08763 (2018) - [i16]Liyan Sun, Zhiwen Fan, Xinghao Ding, Congbo Cai, Yue Huang, John W. Paisley:
A Divide-and-Conquer Approach to Compressed Sensing MRI. CoRR abs/1803.09909 (2018) - [i15]Zhiwen Fan, Liyan Sun, Xinghao Ding, Yue Huang, Congbo Cai, John W. Paisley:
A Segmentation-aware Deep Fusion Network for Compressed Sensing MRI. CoRR abs/1804.01210 (2018) - [i14]Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley:
A Deep Information Sharing Network for Multi-contrast Compressed Sensing MRI Reconstruction. CoRR abs/1804.03596 (2018) - [i13]Zhiwen Fan, Huafeng Wu, Xueyang Fu, Yue Huang, Xinghao Ding:
Residual-Guide Feature Fusion Network for Single Image Deraining. CoRR abs/1804.07493 (2018) - [i12]Liyan Sun, Zhiwen Fan, Yue Huang, Xinghao Ding, John W. Paisley:
Joint CS-MRI Reconstruction and Segmentation with a Unified Deep Network. CoRR abs/1805.02165 (2018) - [i11]Xinghao Ding, Zhirui Lin, Fujin He, Yu Wang, Yue Huang:
A Deeply-Recursive Convolutional Network for Crowd Counting. CoRR abs/1805.05633 (2018) - [i9]Xueyang Fu, Borong Liang, Yue Huang, Xinghao Ding, John W. Paisley:
Lightweight Pyramid Networks for Image Deraining. CoRR abs/1805.06173 (2018) - [i8]Liyan Sun, Jiexiang Wang, Xinghao Ding, Yue Huang, John W. Paisley:
An Adversarial Learning Approach to Medical Image Synthesis for Lesion Removal. CoRR abs/1810.10850 (2018) - [i7]Chaoqi Chen, Weiping Xie, Tingyang Xu, Wen-bing Huang, Yu Rong, Xinghao Ding, Yue Huang, Junzhou Huang:
Progressive Feature Alignment for Unsupervised Domain Adaptation. CoRR abs/1811.08585 (2018) - [i6]Xueyang Fu, Qi Qi, Yue Huang, Xinghao Ding, Feng Wu, John W. Paisley:
A Deep Tree-Structured Fusion Model for Single Image Deraining. CoRR abs/1811.08632 (2018) - [i5]Huangxing Lin, Xueyang Fu, Changxing Jing, Xinghao Ding, Yue Huang:
A^2Net: Adjacent Aggregation Networks for Image Raindrop Removal. CoRR abs/1811.09780 (2018) - 2017
- [j20]Peixian Zhuang, Xueyang Fu, Yue Huang, Xinghao Ding:
Image enhancement using divide-and-conquer strategy. J. Vis. Commun. Image Represent. 45: 137-146 (2017) - [j19]Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding:
Non-blind deconvolution with ℓ 1 -norm of high-frequency fidelity. Multim. Tools Appl. 76(22): 23607-23625 (2017) - [j16]Yue Huang, Han Zheng, Chi Liu, Xinghao Ding, Gustavo K. Rohde:
Epithelium-Stroma Classification via Convolutional Neural Networks and Unsupervised Domain Adaptation in Histopathological Images. IEEE J. Biomed. Health Informatics 21(6): 1625-1632 (2017) - [c30]Xueyang Fu, Jiabin Huang, Delu Zeng, Yue Huang, Xinghao Ding, John W. Paisley:
Removing Rain from Single Images via a Deep Detail Network. CVPR 2017: 1715-1723 - [c29]Yue Huang, Han Zheng, Chi Liu, Gustavo K. Rohde, Delu Zeng, Jiaqi Wang, Xinghao Ding:
Epithelium-stroma classification in histopathological images via convolutional neural networks and self-taught learning. ICASSP 2017: 1073-1077 - [c28]Junfeng Yang, Xueyang Fu, Yuwen Hu, Yue Huang, Xinghao Ding, John W. Paisley:
PanNet: A Deep Network Architecture for Pan-Sharpening. ICCV 2017: 1753-1761 - [c27]Liyan Sun, Yue Huang, Congbo Cai, Xinghao Ding:
Compressed sensing MRI using total variation regularization with K-space decomposition. ICIP 2017: 3061-3065 - [c26]Yunshu Chen, Yue Huang, Xinghao Ding:
Camera model identification with residual neural network. ICIP 2017: 4337-4341 - [c25]Wenlei Wu, Zhaohang Lin, Xinghao Ding, Yue Huang:
A Simple Convolutional Transfer Neural Networks in Vision Tasks. ICONIP (4) 2017: 385-392 - [c23]Xueyang Fu, Zhiwen Fan, Mei Ling, Yue Huang, Xinghao Ding:
Two-step approach for single underwater image enhancement. ISPACS 2017: 789-794 - 2016
- [j14]Peixian Zhuang, Yue Huang, Delu Zeng, Xinghao Ding:
Mixed noise removal based on a novel non-parametric Bayesian sparse outlier model. Neurocomputing 174: 858-865 (2016) - [j12]Xinghao Ding, Liqin Chen, Xianhui Zheng, Yue Huang, Delu Zeng:
Single image rain and snow removal via guided L0 smoothing filter. Multim. Tools Appl. 75(5): 2697-2712 (2016) - [j11]Yue Huang, Xin Chen, Xinghao Ding:
A harmonic means pooling strategy for structural similarity index measurement in image quality assessment. Multim. Tools Appl. 75(5): 2769-2780 (2016) - [j10]Xueyang Fu, Delu Zeng, Yue Huang, Yinghao Liao, Xinghao Ding, John W. Paisley:
A fusion-based enhancing method for weakly illuminated images. Signal Process. 129: 82-96 (2016) - [j9]Peixian Zhuang, Xueyang Fu, Yue Huang, Delu Zeng, Xinghao Ding:
A novel framework method for non-blind deconvolution using subspace images priors. Signal Process. Image Commun. 46: 17-28 (2016) - [j8]Tong Zhao, Lin Li, Xinghao Ding, Yue Huang, Delu Zeng:
Saliency Detection With Spaces of Background-Based Distribution. IEEE Signal Process. Lett. 23(5): 683-687 (2016) - [c22]Xueyang Fu, Delu Zeng, Yue Huang, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A Weighted Variational Model for Simultaneous Reflectance and Illumination Estimation. CVPR 2016: 2782-2790 - [i3]Tong Zhao, Lin Li, Xinghao Ding, Yue Huang, Delu Zeng:
Saliency Detection with Spaces of Background-based Distribution. CoRR abs/1603.05335 (2016) - 2015
- [j7]Yue Huang, Xin Chen, Jun Zhang, Delu Zeng, Dandan Zhang, Xinghao Ding:
Single-trial ERPs denoising via collaborative filtering on ERPs images. Neurocomputing 149: 914-923 (2015) - [j6]Xueyang Fu, Jiye Wang, Delu Zeng, Yue Huang, Xinghao Ding:
Remote Sensing Image Enhancement Using Regularized-Histogram Equalization and DCT. IEEE Geosci. Remote. Sens. Lett. 12(11): 2301-2305 (2015) - [j5]Xueyang Fu, Yinghao Liao, Delu Zeng, Yue Huang, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A Probabilistic Method for Image Enhancement With Simultaneous Illumination and Reflectance Estimation. IEEE Trans. Image Process. 24(12): 4965-4977 (2015) - [j4]Yue Huang, Ruiwen Wu, Ye Sun, Wei Wang, Xinghao Ding:
Vehicle Logo Recognition System Based on Convolutional Neural Networks With a Pretraining Strategy. IEEE Trans. Intell. Transp. Syst. 16(4): 1951-1960 (2015) - [c17]Xinghao Ding, Zheng Zhang, Xin Chen, Yue Huang:
A novel pooling strategy for Full Reference Image Quality Assessment based on harmonic means. ICASSP 2015: 1672-1676 - [c16]Yiyong Jiang, Xinghao Ding, Delu Zeng, Yue Huang, John W. Paisley:
Pan-Sharpening with a Hyper-Laplacian Penalty. ICCV 2015: 540-548 - 2014
- [j2]Yue Huang, John W. Paisley, Qin Lin, Xinghao Ding, Xueyang Fu, Xiao-Ping (Steven) Zhang:
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI. IEEE Trans. Image Process. 23(12): 5007-5019 (2014) - [c14]Xinghao Ding, Yiyong Jiang, Yue Huang, John W. Paisley:
Pan-sharpening with a Bayesian nonparametric dictionary learning model. AISTATS 2014: 176-184 - [c13]Xueyang Fu, Ye Sun, Minghui LiWang, Yue Huang, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A novel retinex based approach for image enhancement with illumination adjustment. ICASSP 2014: 1190-1194 - [c12]Yue Huang, Xinghao Ding:
Single-trial Event-related Potentials Denoising based on Collaborative Filtering in Transform Domain. ICIMCS 2014: 391 - [c11]Xueyang Fu, Peixian Zhuang, Yue Huang, Yinghao Liao, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A retinex-based enhancing approach for single underwater image. ICIP 2014: 4572-4576 - [c10]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. ICIP 2014: 5042-5046 - [c9]Xueyang Fu, Yue Huang, Delu Zeng, Xiao-Ping (Steven) Zhang, Xinghao Ding:
A fusion-based enhancing approach for single sandstorm image. MMSP 2014: 1-5 - 2013
- [c7]Xueyang Fu, Delu Zeng, Yue Huang, Xinghao Ding, Xiao-Ping (Steven) Zhang:
A variational framework for single low light image enhancement using bright channel prior. GlobalSIP 2013: 1085-1088 - [c6]Jin Xie, Yue Huang, John W. Paisley, Xinghao Ding, Xiao-Ping (Steven) Zhang:
Pan-sharpening based on nonparametric Bayesian adaptive dictionary learning. ICIP 2013: 2039-2042 - [c5]Xinghao Ding, John W. Paisley, Yue Huang, Xianbo Chen, Feng Huang, Xiao-Ping (Steven) Zhang:
Compressed sensing MRI with Bayesian dictionary learning. ICIP 2013: 2319-2323 - [c4]Yue Huang, Jun Zhang, Xin Chen, Delu Zeng, Xinghao Ding, Dandan Zhang, Qingfeng Cai:
Single-Trial Event-Related Potentials Classification via a Discriminative Dictionary Learning Scheme. ICONIP (1) 2013: 42-49 - [i1]Yue Huang, John W. Paisley, Xianbo Chen, Xinghao Ding, Feng Huang, Xiao-Ping (Steven) Zhang:
MR Image Reconstruction from Undersampled k-Space with Bayesian Dictionary Learning. CoRR abs/1302.2712 (2013)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-20 00:43 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
